six steps to problem solving

Tuesday, May 15, 2012

The Six-Step Problem-Solving Process

Select the problem to be analyzed
Clearly define the problem and establish aprecise problem statement
Set a measurable goal for the problem solving effort
Establish a process for coordinating with and gaining approval of leadership
Identify the processes that impact the problem and select one
List the steps in the process as it currently exists
Map the Process
Validate the map of the process
Identify potential cause of the problem
Collect and analyze data related to the problem
Verify or revise the original problem statement
Identify root causes of the problem
Collect additional data if needed to verify root causes
Establish criteria for selecting a solution
Generate potential solutions that will address the root causes of the problem
Select a solution
Gain approval and supporter the chosen solution
Plan the solution
Implement the chosen solution on a trial or pilot basis
If the Problem Solving Process is being used in conjunction with the Continuous Improvement Process, return to Step 6 of the Continuous Improvement Process
If the Problem Solving Process is being used as a standalone, continue to Step 5
Gather data on the solution
Analyze the data on the solution
Achive the desired results?
If YES, go to Step 6.
If NO, go back to Step 1.
Identify systemic changes and training needs for full implementation
Adopt the solution
Plan ongoing monitoring of the solution
Continue to look for incremental improvements to refine the solution
Look for another improvement opportunity

4 comments:

Tim, This is a good guideline for any practitioner to follow. I wish I had this a few weeks ago. A client liked a training deck I prepared but didn't want to confuse anyone with terms like Deming Cycle and such. The final version of PDCA was a 6 step process improvement method that's very similar to yours. Thanks for sharing. Cheers, Chris

Thank you for you brief and easy to understand on each step problem solving above.

Wonderful. Well Explained. Thank you for sharing

I mapped this to PDCA and observed that the first 3 steps correspond to P, the next 3 to D, C and A respectively. This Show that indeed planning is the most important step in PDCA.

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The Six Step Problem Solving Model

What is The Six Step Problem Solving Model?

The Six Step Problem Solving Model is a widely recognized and effective approach to addressing and resolving complex problems in personal and professional settings. This model provides a structured and systematic process for analyzing, identifying, and resolving issues, making it an indispensable tool for individuals, teams, and organizations.

Problem-solving is the process of identifying and resolving issues or obstacles that hinder the attainment of a goal. It is a critical skill that is highly valued in both personal and professional settings.

Whether you are a business owner, an employee, or an individual, the ability to solve problems effectively is essential for success.

According to a report by the World Economic Forum, problem-solving, critical thinking, and creativity are among the top skills that will be in demand in the job market by 2025.

This highlights the importance of problem-solving as a skill in the professional world. However, problem-solving is not limited to the workplace, it is also crucial in everyday life.

For instance, when faced with a personal challenge or a difficult situation, the ability to identify and solve the problem is key to achieving a desirable outcome.

The Six Step Problem Solving Model was first introduced by Kepner and Tregoe in the 1960s, who were management consultants known for their work in the field of decision-making and problem-solving. They proposed a rational and logical approach that was based on a rigorous analysis of the problem and its underlying causes, followed by a deliberate and careful selection of solutions that would address the root cause of the problem.

Since then, the Six Step Problem Solving Model has been widely adopted and modified by many organizations and industries, and it continues to be a useful and effective tool for addressing complex issues in a structured and systematic manner.

In this article, we will explore each step of the model in detail and provide examples of how it can be applied in real-world situations.

I have listed below all Six Steps in detail:

Step 1: Identify The Problem

Identifying the problem is the first step in the Six-Step Problem Solving Model. This step is critical because it sets the foundation for the rest of the problem-solving process.

The four sub-steps of this stage include:

Selection of the problem to be analyzed

The first sub-step in this stage is to select the problem that needs to be analyzed. This could be any issue that is causing problems for your personal or professional life. It could be a product or service that is not meeting customer expectations, a process that is causing delays, or any other problem that needs to be addressed.

Clear definition of the problem and establishment of a precise problem statement

Once you have identified the problem to be analyzed, the next step is to define it clearly and establish a precise problem statement. This step involves defining the problem in clear and concise terms so that everyone involved in the problem-solving process understands the issue at hand.

For example, if the problem is related to product quality, the problem statement could be: “Our product is not meeting the quality standards expected by our customers, which is resulting in negative feedback and decreased sales.”

Setting a measurable goal for the problem-solving effort

After defining the problem, the next step is to set a measurable goal for the problem-solving effort. This goal should be specific, measurable, achievable, relevant, and time-bound ( SMART ). The goal should be aligned with the overall objectives of the organization and should focus on addressing the root cause of the problem.

For example, if the problem is related to product quality, the goal could be: “To improve product quality by reducing defects by 50% within the next three months.”

Establishing a process for coordinating with and gaining approval of leadership

The final sub-step in this stage is to establish a process for coordinating with and gaining approval of leadership. This involves identifying the stakeholders who will be involved in the problem-solving process and obtaining their buy-in and support for the process.

For example, if the problem is related to product quality, the stakeholders could include the quality control team, production team, and senior management. It is important to involve all stakeholders in the process to ensure that everyone is aligned and committed to finding a solution to the problem.

Step 2: Analyze The Problem

Identification of the processes that impact the problem and selection of one.

To analyze the problem effectively, you need to identify the processes that impact the problem and select one. The selected process should be relevant to the problem and the one that can be analyzed to identify the root cause.

For example, if a company is experiencing a high employee turnover rate, the process that needs to be analyzed could be the hiring process, employee training process, or employee feedback process.

Listing the steps in the process as it currently exists

Once you have identified the process, you need to list all the steps in the process as it currently exists. This will help you identify where the problem is occurring and what steps need to be changed to solve the problem.

For instance, in the case of employee turnover rate, the steps in the hiring process could be job posting, resume screening, initial interview, background check, reference check, and final interview.

Mapping the process

After listing the steps, you need to map the process. This involves creating a visual representation of the process flow. Mapping the process helps in identifying the bottlenecks, redundancies, and inefficiencies in the process.

Validation of the map of the process

The next step is to validate the map of the process. This involves reviewing the map with the stakeholders involved in the process and confirming that it accurately represents the process flow.

Identification of potential causes of the problem

With the process map validated, the next step is to identify potential causes of the problem. This can be done by brainstorming with the stakeholders and identifying the areas where the process is not functioning effectively.

For instance, in the hiring process, potential causes of employee turnover rate could be a lack of a comprehensive background check, inadequate employee training, or poor job fit.

Collection and analysis of data related to the problem

After identifying potential causes, you need to collect and analyze data related to the problem. This can include employee feedback surveys, turnover data, job satisfaction data, and any other relevant data.

Verification or revision of the original problem statement

Based on the analysis, you may need to verify or revise the original problem statement. This ensures that the problem statement accurately reflects the problem being solved.

Identification of root causes of the problem

With the data analyzed, you can identify the root causes of the problem. Root causes are the underlying reasons why the problem is occurring.

For example, in the hiring process, the root cause of employee turnover could be the inadequate employee training, which leads to employees feeling unprepared for the job.

Collection of additional data if needed to verify root causes

To verify the root causes identified, you may need to collect additional data. This ensures that the solutions developed address the actual root cause of the problem, leading to long-term and sustainable solutions.

The second step of the Six Step Problem Solving Model is critical in identifying the root cause of the problem. By analyzing the process and identifying potential causes and root causes, you can develop effective solutions to solve the problem.

Step 3: Develop The Solutions

After identifying the root causes of the problem, it’s time to develop solutions. This step involves the following:

Establishment of criteria for selecting a solution

When selecting a solution, it’s important to establish criteria that will help in evaluating and selecting the best solution. The criteria should be measurable, objective, and specific to the problem. Some criteria that can be used include:

Feasibility: Can the solution be implemented with the available resources?
Effectiveness: Will the solution solve the problem?
Cost: Is the cost of the solution within the budget?
Time: Will the solution be implemented within the required time frame?

Generation of potential solutions that will address the root causes of the problem

Brainstorming is a great way to generate potential solutions. Gather a team of individuals who are knowledgeable about the problem and its root causes. Encourage them to think creatively and come up with as many potential solutions as possible. It’s important to involve stakeholders who will be affected by the solution in the brainstorming process to ensure that their concerns are considered.

Use any of the 12 techniques of brainstorming from our brainstorming toolbox .

Selection of a solution

Once potential solutions have been generated, it’s time to select the best one. Use the established criteria to evaluate each solution and determine which one is the best fit. It’s important to involve stakeholders in the selection process to ensure buy-in and support for the chosen solution.

Gaining approval and support for the chosen solution

Before implementing the solution, it’s important to gain approval and support from leadership and other stakeholders. Present the chosen solution and its benefits to the decision-makers, and address any concerns they may have. Get their approval and support before moving forward with implementation.

Planning the solution

After gaining approval, it’s time to plan the solution. This involves creating an action plan that outlines the steps needed to implement the solution, who will be responsible for each step, and when each step will be completed. It’s important to have a realistic timeline and to involve all stakeholders in the planning process. Ensure that resources are available for implementation, and that all necessary training and communication plans are in place.

Step 4: Implement A Solution

Once the solution has been selected and approved, it’s time to put the plan into action. This step involves implementing the chosen solution on a trial or pilot basis to see how it performs. Here are the key components of this step:

Implementation of the chosen solution on a trial or pilot basis

Before implementing the solution fully, it’s important to test it out on a smaller scale to see how it works. This allows you to identify any potential problems or issues and make adjustments as needed. By implementing the solution on a trial or pilot basis, you can ensure that it will work effectively when it’s rolled out more broadly.

If the Problem Solving Process is being used as a standalone, continue to Step 5

If the Six Step Problem Solving Model is being used as a standalone process, it’s time to move on to Step 5, which involves evaluating the results of the solution. This step is critical to ensure that the solution is working as intended and achieving the desired results.

Step 5: Evaluate The Results

Gathering of data on the solution.

Once the chosen solution has been implemented, it is important to gather data on its effectiveness. This data can come in various forms, such as customer feedback, sales figures, or productivity metrics. The key is to gather enough data to make an informed decision about the success or failure of the solution.

Analysis of the data on the solution

After collecting the necessary data, it is important to analyze it thoroughly to determine whether or not the solution has achieved the desired results. This analysis can involve statistical methods, surveys, or other evaluation techniques. The goal is to determine whether or not the solution has been successful and to identify any areas where improvements can be made.

Achievement of the desired results?

Based on the analysis of the data, it is necessary to determine whether or not the solution has achieved the desired results. This can involve comparing the actual results to the goals established in Step 1, or it can involve evaluating the overall impact of the solution on the organization or individual.

If YES, go to Step 6.

If the solution has achieved the desired results, it is time to move on to Step 6. This step involves standardizing the solution and capitalizing on any new opportunities that may have arisen as a result of the problem-solving process.

If NO, go back to Step 1.

If the solution has not achieved the desired results, it is necessary to go back to Step 1 and repeat the problem-solving process. This may involve refining the problem statement, identifying new potential causes, or generating new potential solutions. The key is to remain flexible and open to new ideas throughout the problem-solving process.

Step 6: Standardize The Solution (and Capitalize on New Opportunities)

Once the solution has been implemented and evaluated, it’s time to standardize the solution and capitalize on new opportunities. This step involves making sure that the solution is integrated into the organization’s standard operating procedures and that everyone involved knows how to use it effectively.

Identification of Systemic Changes and Training Needs for Full Implementation

When identifying systemic changes, it’s important to look at how the solution fits into the larger context of the organization. This includes looking at processes, policies, and procedures to see where changes need to be made to fully implement the solution.

Training is also crucial in the standardization process. Employees need to know how to use the solution properly and effectively. This can include training on new processes, tools, and technologies.

Adoption of the Solution

Once the solution has been standardized, it’s time to adopt it fully. This means integrating it into the organization’s operations and ensuring that everyone is using it consistently. This can involve making changes to job descriptions, updating policies and procedures, and making sure that everyone has the necessary tools and resources to use the solution effectively.

Planning Ongoing Monitoring of the Solution

Even after the solution has been adopted, it’s important to continue monitoring its effectiveness. This can involve setting up monitoring and reporting systems to track progress and identify areas for improvement. Regular review meetings can also help to keep the solution on track and ensure that it is meeting the organization’s goals and objectives.

Continuing to Look for Incremental Improvements to Refine the Solution

While the solution may have solved the initial problem, there is always room for improvement. This can involve looking for ways to make the solution more efficient, effective, or user-friendly. This can include gathering feedback from employees and customers, analyzing data to identify areas for improvement, and looking for ways to optimize processes and procedures.

Looking for Another Improvement Opportunity

Finally, it’s important to keep looking for new improvement opportunities. The Six Step Problem Solving Model is an iterative process, and there is always room for improvement. This can involve looking at other areas of the organization that could benefit from problem-solving and using the same process to identify and implement solutions.

In conclusion, the six-step problem-solving model is an effective approach for addressing problems and making improvements in personal and professional settings. The model involves identifying the problem, analyzing it, developing solutions, implementing the solution, evaluating the results, and standardizing the solution.

To summarize, the six steps of problem-solving include:

Identify the problem
Analyze the problem
Develop the solutions
Implement the solution
Evaluate the results
Standardize the solution (and capitalize on new opportunities)

Problem-solving and continuous improvement are critical skills for personal and professional growth.

By utilizing this model, individuals and organizations can become more efficient, productive, and effective in addressing challenges and achieving their goals.

American Society for Quality. (2019). Root Cause Analysis .
Hames, S. (2017). The 5 Whys Method
Fass, M. (2020). The Six-Step Problem-Solving Process. Harvard Business Review .
The Six-Step Problem-Solving Process by the University of California, San Francisco
The Importance of Problem-Solving Skills in the Workplace by The Balance Careers.

Marty Hoffman

Rolestorming a Unique Brainstorming Technique

Emotional intelligence theory of leadership, what is reverse brainstorming technique, 6-3-5 brainwriting technique.

Six Steps to Develop an Effective Problem-Solving Process

by Rawzaba Alhalabi Published on November 1, 2017

Problem-solving involves thought and understanding. Although it may appear simple, identifying a problem may be a challenging process.

“Problems are only opportunities in work clothes”, says American industrialist Henry Kaiser. According to Concise Oxford Dictionary (1995), a problem is “ doubtful or difficult matter requiring a solution” and “something hard to understand or accomplish or deal with.” Such situations are at the center of what many people do at work every day.

Whether to help a client solve a problem, support a problem-solver, or to discover new problems, problem-solving is a crucial element to the workplace ingredients. Everyone can benefit from effective problem-solving skills that would make people happier. Everyone wins. Hence, this approach is a critical element but how can you do it effectively? You need to find a solution, but not right away. People tend to put the solution at the beginning of the process but they actually needed it at the end of the process.

Here are six steps to an effective problem-solving process:

Identify the issues, understand everyone’s interests, list the possible solutions, make a decision, implement the solution.

By following the whole process, you will be able to enhance your problem-solving skills and increase your patience. Keep in mind that effective problem solving does take some time and attention. You have to always be ready to hit the brakes and slow down. A problem is like a bump road. Take it right and you’ll find yourself in good shape for the straightaway that follows. Take it too fast and you may not be in as good shape.

Case study 1:

According to Real Time Economics, there are industries that have genuinely evolved, with more roles for people with analytical and problem-solving skills. In healthcare, for example, a regulatory change requiring the digitization of health records has led to greater demand for medical records technicians. Technological change in the manufacturing industry has reduced routine factory jobs while demanding more skilled workers who can operate complex machinery.

Case study 2:

Yolanda was having a hard time dealing with difficult clients and dealing with her team at the office, so she decided to take a problem-solving course. “I was very pleased with the 2-day Problem Solving program at RSM. It is an excellent investment for anyone involved in the strategic decision-making process—be it in their own company or as a consultant charged with supporting organizations facing strategic challenges.“

Yolanda Barreros Gutiérrez, B&C Consulting

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Having read this I believed it was extremely enlightening. I appreciate you taking the time and energy to put tis informative article together. I onc again findd myself spending a significant amount of time both reading and leavfing comments. But so what, it was still worth it!

Mastering the Six-Step Problem Solving Model – A Comprehensive Guide for Success

Introduction.

Problem solving skills are a crucial aspect of life. Whether it’s tackling complex issues in the workplace or finding solutions to everyday challenges, being able to effectively solve problems is essential. One popular approach to problem-solving is the Six-Step Problem Solving Model. This model provides a structured and systematic way of approaching problems, enabling individuals and teams to arrive at effective solutions. In this blog post, we will delve into each step of the Six-Step Problem Solving Model and explore techniques and strategies for successful problem solving.

Step 1: Identify and define the problem

Before diving into finding a solution, it is imperative to clearly identify and define the problem at hand. Without a clear understanding of the problem, it becomes difficult to develop effective solutions. One technique for identifying the problem is to ask the right questions. By asking probing questions, you can gain a deeper understanding of the issue and its impact on various aspects.

Gathering relevant information is a vital aspect of defining the problem. This can be done through research, data analysis, or relying on the expertise of individuals who have faced similar issues. The more information you gather, the better equipped you will be to define the problem accurately.

Step 2: Analyze the problem

Once the problem is defined, it is crucial to analyze it thoroughly. This involves exploring the root causes of the problem. By identifying the underlying factors contributing to the problem, you can develop strategies to address them effectively.

Analytical tools and techniques can aid in this step. One such tool is the cause-and-effect diagram, also known as the fishbone diagram. This diagram helps visualize the multiple causes that contribute to a problem, enabling a comprehensive analysis. Other tools, such as SWOT analysis or Pareto analysis, can be utilized depending on the nature of the problem.

Step 3: Generate potential solutions

Brainstorming and creative thinking play a crucial role in the third step of the Six-Step Problem Solving Model. This is the stage where you generate as many potential solutions as possible, without evaluating them yet. Encouraging a free flow of ideas without judgment can lead to innovative and out-of-the-box solutions.

After generating a list of potential solutions, it’s time to evaluate their feasibility and effectiveness. Consider factors such as the resources required, the time frame, and the impact on stakeholders. Prioritize the solutions based on these considerations and shortlist a few viable options.

Step 4: Select the best solution

Choosing the best solution from the shortlisted options requires a careful evaluation process. Consider various factors such as the potential positive outcomes, potential risks, and the resources required for implementation. One useful tool in this step is decision matrix analysis. This tool allows you to objectively compare and evaluate different solutions based on predetermined criteria.

Remember that the best solution might not be perfect, but it should have a higher probability of success and address the root causes identified in the analysis phase.

Step 5: Implement the chosen solution

Once you have selected the best solution, it’s time to develop an action plan for implementation. The action plan should outline the necessary steps, allocate resources, and set clear timelines for each task. It’s important to involve all relevant stakeholders in this phase to ensure their buy-in and cooperation.

During implementation, it’s common to encounter obstacles and risks. It is important to anticipate and proactively address these challenges. Regular communication and monitoring of progress can help identify potential risks and resolve issues in a timely manner.

Step 6: Evaluate the results and make adjustments

After implementing the chosen solution, it is crucial to evaluate its effectiveness. Assess whether the solution has successfully addressed the problem and achieved the desired outcomes. This evaluation can be done through various means such as surveys, feedback from stakeholders, or quantitative measurements.

If the solution did not produce the desired results, it’s important to make adjustments and improvements. This might involve revisiting the problem definition, analyzing the root causes more deeply, or even considering alternate solutions. Continuous improvement is key to success in problem-solving endeavors.

The Six-Step Problem Solving Model provides a systematic approach to addressing and resolving problems. By following these steps, individuals and teams can enhance their problem-solving skills and arrive at effective solutions. Remember to always start with a clear definition of the problem, analyze it thoroughly, generate potential solutions, select the best solution, implement it carefully, and evaluate the results before making adjustments. By applying this model, you can tackle complex problems with confidence and achieve success in your problem-solving endeavors.

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Daniel Croft

Daniel Croft is an experienced continuous improvement manager with a Lean Six Sigma Black Belt and a Bachelor's degree in Business Management. With more than ten years of experience applying his skills across various industries, Daniel specializes in optimizing processes and improving efficiency. His approach combines practical experience with a deep understanding of business fundamentals to drive meaningful change.

Last Updated: January 7, 2024
Learn Lean Sigma

Problem-solving stands as a fundamental skill, crucial in navigating the complexities of both everyday life and professional environments. Far from merely providing quick fixes, it entails a comprehensive process involving the identification, analysis, and resolution of issues.

This multifaceted approach requires an understanding of the problem’s nature, the exploration of its various components, and the development of effective solutions. At its core, problem-solving serves as a bridge from the current situation to a desired outcome, requiring not only the recognition of an existing gap but also the precise definition and thorough analysis of the problem to find viable solutions.

What is problem solving.

At its core, problem-solving is about bridging the gap between the current situation and the desired outcome. It starts with recognizing that a discrepancy exists, which requires intervention to correct or improve. The ability to identify a problem is the first step, but it’s equally crucial to define it accurately. A well-defined problem is half-solved, as the saying goes.

Analyzing the problem is the next critical step. This analysis involves breaking down the problem into smaller parts to understand its intricacies. It requires looking at the problem from various angles and considering all relevant factors – be they environmental, social, technical, or economic. This comprehensive analysis aids in developing a deeper understanding of the problem’s root causes, rather than just its symptoms.

Reverse brainstorming - problem solving - Idea generation

Finally, effective problem-solving involves the implementation of the chosen solution and its subsequent evaluation. This stage tests the practicality of the solution and its effectiveness in the real world. It’s a critical phase where theoretical solutions meet practical application.

The Nature of Problems

The nature of the problem significantly influences the approach to solving it. Problems vary greatly in their complexity and structure, and understanding this is crucial for effective problem-solving.

Simple vs. Complex Problems : Simple problems are straightforward, often with clear solutions. They usually have a limited number of variables and predictable outcomes. On the other hand, complex problems are multi-faceted. They involve multiple variables, stakeholders, and potential outcomes, often requiring a more sophisticated analysis and a multi-pronged approach to solving.

Structured vs. Unstructured Problems : Structured problems are well-defined. They follow a specific pattern or set of rules, making their outcomes more predictable. These problems often have established methodologies for solving. For example, mathematical problems usually fall into this category. Unstructured problems, in contrast, are more ambiguous. They lack a clear pattern or set of rules, making their outcomes uncertain. These problems require a more exploratory approach, often involving trial and error, to identify potential solutions.

Understanding the type of problem at hand is essential, as it dictates the approach. For instance, a simple problem might require a straightforward solution, while a complex problem might need a more comprehensive, step-by-step approach. Similarly, structured problems might benefit from established methodologies, whereas unstructured problems might need more innovative and creative problem-solving techniques.

The Problem-Solving Process

The process of problem-solving is a methodical approach that involves several distinct stages. Each stage plays a crucial role in navigating from the initial recognition of a problem to its final resolution. Let’s explore each of these stages in detail.

Step 1: Identifying the Problem

Step 2: Defining the Problem

Once the problem is identified, the next step is to define it clearly and precisely. This is a critical phase because a well-defined problem often suggests its solution. Defining the problem involves breaking it down into smaller, more manageable parts. It also includes understanding the scope and impact of the problem. A clear definition helps in focusing efforts and resources efficiently and serves as a guide to stay on track during the problem-solving process.

Step 3: Analyzing the Problem

Step 4: Generating Solutions

Step 5: Evaluating and Selecting Solutions

After generating a list of possible solutions, the next step is to evaluate each one critically. This evaluation includes considering the feasibility, costs, benefits, and potential impact of each solution. Techniques like cost-benefit analysis, risk assessment, and scenario planning can be useful here. The aim is to select the solution that best addresses the problem in the most efficient and effective way, considering the available resources and constraints.

Step 6: Implementing the Solution

Step 7: Reviewing and Reflecting

The final stage in the problem-solving process is to review the implemented solution and reflect on its effectiveness and the process as a whole. This involves assessing whether the solution met its intended goals and what could have been done differently. Reflection is a critical part of learning and improvement. It helps in understanding what worked well and what didn’t, providing valuable insights for future problem-solving efforts.

Tools and Techniques for Effective Problem Solving

Problem-solving is a multifaceted endeavor that requires a variety of tools and techniques to navigate effectively. Different stages of the problem-solving process can benefit from specific strategies, enhancing the efficiency and effectiveness of the solutions developed. Here’s a detailed look at some key tools and techniques:

Brainstorming

SWOT Analysis (Strengths, Weaknesses, Opportunities, Threats)

Root Cause Analysis

This is a method used to identify the underlying causes of a problem, rather than just addressing its symptoms. One popular technique within root cause analysis is the “ 5 Whys ” method. This involves asking “why” multiple times (traditionally five) until the fundamental cause of the problem is uncovered. This technique encourages deeper thinking and can reveal connections that aren’t immediately obvious. By addressing the root cause, solutions are more likely to be effective and long-lasting.

Mind Mapping

Each of these tools and techniques can be adapted to different types of problems and situations. Effective problem solvers often use a combination of these methods, depending on the nature of the problem and the context in which it exists. By leveraging these tools, one can enhance their ability to dissect complex problems, generate creative solutions, and implement effective strategies to address challenges.

Developing Problem-Solving Skills

Developing problem-solving skills is a dynamic process that hinges on both practice and introspection. Engaging with a diverse array of problems enhances one’s ability to adapt and apply different strategies. This exposure is crucial as it allows individuals to encounter various scenarios, ranging from straightforward to complex, each requiring a unique approach. Collaborating with others in teams is especially beneficial. It broadens one’s perspective, offering insights into different ways of thinking and approaching problems. Such collaboration fosters a deeper understanding of how diverse viewpoints can contribute to more robust solutions.

Reflection is equally important in the development of problem-solving skills. Reflecting on both successes and failures provides valuable lessons. Successes reinforce effective strategies and boost confidence, while failures are rich learning opportunities that highlight areas for improvement. This reflective practice enables one to understand what worked, what didn’t, and why.

Critical thinking is a foundational skill in problem-solving. It involves analyzing information, evaluating different perspectives, and making reasoned judgments. Creativity is another vital component. It pushes the boundaries of conventional thinking and leads to innovative solutions. Effective communication also plays a crucial role, as it ensures that ideas are clearly understood and collaboratively refined.

In conclusion, problem-solving is an indispensable skill set that blends analytical thinking, creativity, and practical implementation. It’s a journey from understanding the problem to applying a solution and learning from the outcome.

Whether dealing with simple or complex issues, or structured or unstructured challenges, the essence of problem-solving lies in a methodical approach and the effective use of various tools and techniques. It’s a skill that is honed over time, through experience, reflection, and the continuous development of critical thinking, creativity, and communication abilities. In mastering problem-solving, one not only addresses immediate issues but also builds a foundation for future challenges, leading to more innovative and effective outcomes.

Mourtos, N.J., Okamoto, N.D. and Rhee, J., 2004, February. Defining, teaching, and assessing problem solving skills . In 7th UICEE Annual Conference on Engineering Education (pp. 1-5).
Foshay, R. and Kirkley, J., 2003. Principles for teaching problem solving. Technical paper , 4 (1), pp.1-16.

Q: What are the key steps in the problem-solving process?

A : The problem-solving process involves several key steps: identifying the problem, defining it clearly, analyzing it to understand its root causes, generating a range of potential solutions, evaluating and selecting the most viable solution, implementing the chosen solution, and finally, reviewing and reflecting on the effectiveness of the solution and the process used to arrive at it.

Q: How can brainstorming be effectively used in problem-solving?

A: Brainstorming is effective in the solution generation phase of problem-solving. It involves gathering a group and encouraging the free flow of ideas without immediate criticism. The goal is to produce a large quantity of ideas, fostering creative thinking. This technique helps in uncovering unique and innovative solutions that might not surface in a more structured setting.

Q: What is SWOT Analysis and how does it aid in problem-solving?

A : SWOT Analysis is a strategic planning tool used to evaluate the Strengths, Weaknesses, Opportunities, and Threats involved in a situation. In problem-solving, it aids by providing a clear understanding of the internal and external factors that could impact the problem and potential solutions. This analysis helps in formulating strategies that leverage strengths and opportunities while mitigating weaknesses and threats.

Q: Why is it important to understand the nature of a problem before solving it?

A : Understanding the nature of a problem is crucial as it dictates the approach for solving it. Problems can be simple or complex, structured or unstructured, and each type requires a different strategy. A clear understanding of the problem’s nature helps in applying the appropriate methods and tools for effective resolution.

Q: How does reflection contribute to developing problem-solving skills?

A : Reflection is a critical component in developing problem-solving skills. It involves looking back at the problem-solving process and the implemented solution to assess what worked well and what didn’t. Reflecting on both successes and failures provides valuable insights and lessons, helping to refine and improve problem-solving strategies for future challenges. This reflective practice enhances one’s ability to approach problems more effectively over time.

Daniel Croft is a seasoned continuous improvement manager with a Black Belt in Lean Six Sigma. With over 10 years of real-world application experience across diverse sectors, Daniel has a passion for optimizing processes and fostering a culture of efficiency. He's not just a practitioner but also an avid learner, constantly seeking to expand his knowledge. Outside of his professional life, Daniel has a keen Investing, statistics and knowledge-sharing, which led him to create the website learnleansigma.com, a platform dedicated to Lean Six Sigma and process improvement insights.

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A guide to problem-solving techniques, steps, and skills

You might associate problem-solving with the math exercises that a seven-year-old would do at school. But problem-solving isn’t just about math — it’s a crucial skill that helps everyone make better decisions in everyday life or work.

A guide to problem-solving techniques, steps, and skills

Problem-solving involves finding effective solutions to address complex challenges, in any context they may arise.

Unfortunately, structured and systematic problem-solving methods aren’t commonly taught. Instead, when solving a problem, PMs tend to rely heavily on intuition. While for simple issues this might work well, solving a complex problem with a straightforward solution is often ineffective and can even create more problems.

In this article, you’ll learn a framework for approaching problem-solving, alongside how you can improve your problem-solving skills.

The 7 steps to problem-solving

When it comes to problem-solving there are seven key steps that you should follow: define the problem, disaggregate, prioritize problem branches, create an analysis plan, conduct analysis, synthesis, and communication.

1. Define the problem

Problem-solving begins with a clear understanding of the issue at hand. Without a well-defined problem statement, confusion and misunderstandings can hinder progress. It’s crucial to ensure that the problem statement is outcome-focused, specific, measurable whenever possible, and time-bound.

Additionally, aligning the problem definition with relevant stakeholders and decision-makers is essential to ensure efforts are directed towards addressing the actual problem rather than side issues.

2. Disaggregate

Complex issues often require deeper analysis. Instead of tackling the entire problem at once, the next step is to break it down into smaller, more manageable components.

Various types of logic trees (also known as issue trees or decision trees) can be used to break down the problem. At each stage where new branches are created, it’s important for them to be “MECE” – mutually exclusive and collectively exhaustive. This process of breaking down continues until manageable components are identified, allowing for individual examination.

The decomposition of the problem demands looking at the problem from various perspectives. That is why collaboration within a team often yields more valuable results, as diverse viewpoints lead to a richer pool of ideas and solutions.

3. Prioritize problem branches

The next step involves prioritization. Not all branches of the problem tree have the same impact, so it’s important to understand the significance of each and focus attention on the most impactful areas. Prioritizing helps streamline efforts and minimize the time required to solve the problem.

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4. Create an analysis plan

For prioritized components, you may need to conduct in-depth analysis. Before proceeding, a work plan is created for data gathering and analysis. If work is conducted within a team, having a plan provides guidance on what needs to be achieved, who is responsible for which tasks, and the timelines involved.

5. Conduct analysis

Data gathering and analysis are central to the problem-solving process. It’s a good practice to set time limits for this phase to prevent excessive time spent on perfecting details. You can employ heuristics and rule-of-thumb reasoning to improve efficiency and direct efforts towards the most impactful work.

6. Synthesis

After each individual branch component has been researched, the problem isn’t solved yet. The next step is synthesizing the data logically to address the initial question. The synthesis process and the logical relationship between the individual branch results depend on the logic tree used.

7. Communication

The last step is communicating the story and the solution of the problem to the stakeholders and decision-makers. Clear effective communication is necessary to build trust in the solution and facilitates understanding among all parties involved. It ensures that stakeholders grasp the intricacies of the problem and the proposed solution, leading to informed decision-making.

Exploring problem-solving in various contexts

While problem-solving has traditionally been associated with fields like engineering and science, today it has become a fundamental skill for individuals across all professions. In fact, problem-solving consistently ranks as one of the top skills required by employers.

Problem-solving techniques can be applied in diverse contexts:

Individuals — What career path should I choose? Where should I live? These are examples of simple and common personal challenges that require effective problem-solving skills
Organizations — Businesses also face many decisions that are not trivial to answer. Should we expand into new markets this year? How can we enhance the quality of our product development? Will our office accommodate the upcoming year’s growth in terms of capacity?
Societal issues — The biggest world challenges are also complex problems that can be addressed with the same technique. How can we minimize the impact of climate change? How do we fight cancer?

Despite the variation in domains and contexts, the fundamental approach to solving these questions remains the same. It starts with gaining a clear understanding of the problem, followed by decomposition, conducting analysis of the decomposed branches, and synthesizing it into a result that answers the initial problem.

Real-world examples of problem-solving

Let’s now explore some examples where we can apply the problem solving framework.

Problem: In the production of electronic devices, you observe an increasing number of defects. How can you reduce the error rate and improve the quality?

Before delving into analysis, you can deprioritize branches that you already have information for or ones you deem less important. For instance, while transportation delays may occur, the resulting material degradation is likely negligible. For other branches, additional research and data gathering may be necessary.

Once results are obtained, synthesis is crucial to address the core question: How can you decrease the defect rate?

While all factors listed may play a role, their significance varies. Your task is to prioritize effectively. Through data analysis, you may discover that altering the equipment would bring the most substantial positive outcome. However, executing a solution isn’t always straightforward. In prioritizing, you should consider both the potential impact and the level of effort needed for implementation.

By evaluating impact and effort, you can systematically prioritize areas for improvement, focusing on those with high impact and requiring minimal effort to address. This approach ensures efficient allocation of resources towards improvements that offer the greatest return on investment.

Problem : What should be my next job role?

When breaking down this problem, you need to consider various factors that are important for your future happiness in the role. This includes aspects like the company culture, our interest in the work itself, and the lifestyle that you can afford with the role.

However, not all factors carry the same weight for us. To make sense of the results, we can assign a weight factor to each branch. For instance, passion for the job role may have a weight factor of 1, while interest in the industry may have a weight factor of 0.5, because that is less important for you.

By applying these weights to a specific role and summing the values, you can have an estimate of how suitable that role is for you. Moreover, you can compare two roles and make an informed decision based on these weighted indicators.

Key problem-solving skills

This framework provides the foundation and guidance needed to effectively solve problems. However, successfully applying this framework requires the following:

Creativity — During the decomposition phase, it’s essential to approach the problem from various perspectives and think outside the box to generate innovative ideas for breaking down the problem tree
Decision-making — Throughout the process, decisions must be made, even when full confidence is lacking. Employing rules of thumb to simplify analysis or selecting one tree cut over another requires decisiveness and comfort with choices made
Analytical skills — Analytical and research skills are necessary for the phase following decomposition, involving data gathering and analysis on selected tree branches
Teamwork — Collaboration and teamwork are crucial when working within a team setting. Solving problems effectively often requires collective effort and shared responsibility
Communication — Clear and structured communication is essential to convey the problem solution to stakeholders and decision-makers and build trust

How to enhance your problem-solving skills

Problem-solving requires practice and a certain mindset. The more you practice, the easier it becomes. Here are some strategies to enhance your skills:

Practice structured thinking in your daily life — Break down problems or questions into manageable parts. You don’t need to go through the entire problem-solving process and conduct detailed analysis. When conveying a message, simplify the conversation by breaking the message into smaller, more understandable segments
Regularly challenging yourself with games and puzzles — Solving puzzles, riddles, or strategy games can boost your problem-solving skills and cognitive agility.
Engage with individuals from diverse backgrounds and viewpoints — Conversing with people who offer different perspectives provides fresh insights and alternative solutions to problems. This boosts creativity and helps in approaching challenges from new angles

Final thoughts

Problem-solving extends far beyond mathematics or scientific fields; it’s a critical skill for making informed decisions in every area of life and work. The seven-step framework presented here provides a systematic approach to problem-solving, relevant across various domains.

Now, consider this: What’s one question currently on your mind? Grab a piece of paper and try to apply the problem-solving framework. You might uncover fresh insights you hadn’t considered before.

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What is Problem Solving? (Steps, Techniques, Examples)

By Status.net Editorial Team on May 7, 2023 — 5 minutes to read

What Is Problem Solving?

Definition and importance.

Problem solving is the process of finding solutions to obstacles or challenges you encounter in your life or work. It is a crucial skill that allows you to tackle complex situations, adapt to changes, and overcome difficulties with ease. Mastering this ability will contribute to both your personal and professional growth, leading to more successful outcomes and better decision-making.

Problem-Solving Steps

The problem-solving process typically includes the following steps:

Identify the issue : Recognize the problem that needs to be solved.
Analyze the situation : Examine the issue in depth, gather all relevant information, and consider any limitations or constraints that may be present.
Generate potential solutions : Brainstorm a list of possible solutions to the issue, without immediately judging or evaluating them.
Evaluate options : Weigh the pros and cons of each potential solution, considering factors such as feasibility, effectiveness, and potential risks.
Select the best solution : Choose the option that best addresses the problem and aligns with your objectives.
Implement the solution : Put the selected solution into action and monitor the results to ensure it resolves the issue.
Review and learn : Reflect on the problem-solving process, identify any improvements or adjustments that can be made, and apply these learnings to future situations.

Defining the Problem

To start tackling a problem, first, identify and understand it. Analyzing the issue thoroughly helps to clarify its scope and nature. Ask questions to gather information and consider the problem from various angles. Some strategies to define the problem include:

Brainstorming with others
Asking the 5 Ws and 1 H (Who, What, When, Where, Why, and How)
Analyzing cause and effect
Creating a problem statement

Generating Solutions

Once the problem is clearly understood, brainstorm possible solutions. Think creatively and keep an open mind, as well as considering lessons from past experiences. Consider:

Creating a list of potential ideas to solve the problem
Grouping and categorizing similar solutions
Prioritizing potential solutions based on feasibility, cost, and resources required
Involving others to share diverse opinions and inputs

Evaluating and Selecting Solutions

Evaluate each potential solution, weighing its pros and cons. To facilitate decision-making, use techniques such as:

SWOT analysis (Strengths, Weaknesses, Opportunities, Threats)
Decision-making matrices
Pros and cons lists
Risk assessments

After evaluating, choose the most suitable solution based on effectiveness, cost, and time constraints.

Implementing and Monitoring the Solution

Implement the chosen solution and monitor its progress. Key actions include:

Communicating the solution to relevant parties
Setting timelines and milestones
Assigning tasks and responsibilities
Monitoring the solution and making adjustments as necessary
Evaluating the effectiveness of the solution after implementation

Utilize feedback from stakeholders and consider potential improvements. Remember that problem-solving is an ongoing process that can always be refined and enhanced.

Problem-Solving Techniques

During each step, you may find it helpful to utilize various problem-solving techniques, such as:

Brainstorming : A free-flowing, open-minded session where ideas are generated and listed without judgment, to encourage creativity and innovative thinking.
Root cause analysis : A method that explores the underlying causes of a problem to find the most effective solution rather than addressing superficial symptoms.
SWOT analysis : A tool used to evaluate the strengths, weaknesses, opportunities, and threats related to a problem or decision, providing a comprehensive view of the situation.
Mind mapping : A visual technique that uses diagrams to organize and connect ideas, helping to identify patterns, relationships, and possible solutions.

Brainstorming

When facing a problem, start by conducting a brainstorming session. Gather your team and encourage an open discussion where everyone contributes ideas, no matter how outlandish they may seem. This helps you:

Generate a diverse range of solutions
Encourage all team members to participate
Foster creative thinking

When brainstorming, remember to:

Reserve judgment until the session is over
Encourage wild ideas
Combine and improve upon ideas

Root Cause Analysis

For effective problem-solving, identifying the root cause of the issue at hand is crucial. Try these methods:

5 Whys : Ask “why” five times to get to the underlying cause.
Fishbone Diagram : Create a diagram representing the problem and break it down into categories of potential causes.
Pareto Analysis : Determine the few most significant causes underlying the majority of problems.

SWOT Analysis

SWOT analysis helps you examine the Strengths, Weaknesses, Opportunities, and Threats related to your problem. To perform a SWOT analysis:

List your problem’s strengths, such as relevant resources or strong partnerships.
Identify its weaknesses, such as knowledge gaps or limited resources.
Explore opportunities, like trends or new technologies, that could help solve the problem.
Recognize potential threats, like competition or regulatory barriers.

SWOT analysis aids in understanding the internal and external factors affecting the problem, which can help guide your solution.

Mind Mapping

A mind map is a visual representation of your problem and potential solutions. It enables you to organize information in a structured and intuitive manner. To create a mind map:

Write the problem in the center of a blank page.
Draw branches from the central problem to related sub-problems or contributing factors.
Add more branches to represent potential solutions or further ideas.

Mind mapping allows you to visually see connections between ideas and promotes creativity in problem-solving.

Examples of Problem Solving in Various Contexts

In the business world, you might encounter problems related to finances, operations, or communication. Applying problem-solving skills in these situations could look like:

Identifying areas of improvement in your company’s financial performance and implementing cost-saving measures
Resolving internal conflicts among team members by listening and understanding different perspectives, then proposing and negotiating solutions
Streamlining a process for better productivity by removing redundancies, automating tasks, or re-allocating resources

In educational contexts, problem-solving can be seen in various aspects, such as:

Addressing a gap in students’ understanding by employing diverse teaching methods to cater to different learning styles
Developing a strategy for successful time management to balance academic responsibilities and extracurricular activities
Seeking resources and support to provide equal opportunities for learners with special needs or disabilities

Everyday life is full of challenges that require problem-solving skills. Some examples include:

Overcoming a personal obstacle, such as improving your fitness level, by establishing achievable goals, measuring progress, and adjusting your approach accordingly
Navigating a new environment or city by researching your surroundings, asking for directions, or using technology like GPS to guide you
Dealing with a sudden change, like a change in your work schedule, by assessing the situation, identifying potential impacts, and adapting your plans to accommodate the change.
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Problem-Solving Strategies and Obstacles

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Sean is a fact-checker and researcher with experience in sociology, field research, and data analytics.

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From deciding what to eat for dinner to considering whether it's the right time to buy a house, problem-solving is a large part of our daily lives. Learn some of the problem-solving strategies that exist and how to use them in real life, along with ways to overcome obstacles that are making it harder to resolve the issues you face.

What Is Problem-Solving?

In cognitive psychology , the term 'problem-solving' refers to the mental process that people go through to discover, analyze, and solve problems.

A problem exists when there is a goal that we want to achieve but the process by which we will achieve it is not obvious to us. Put another way, there is something that we want to occur in our life, yet we are not immediately certain how to make it happen.

Maybe you want a better relationship with your spouse or another family member but you're not sure how to improve it. Or you want to start a business but are unsure what steps to take. Problem-solving helps you figure out how to achieve these desires.

The problem-solving process involves:

Discovery of the problem
Deciding to tackle the issue
Seeking to understand the problem more fully
Researching available options or solutions
Taking action to resolve the issue

Before problem-solving can occur, it is important to first understand the exact nature of the problem itself. If your understanding of the issue is faulty, your attempts to resolve it will also be incorrect or flawed.

Problem-Solving Mental Processes

Several mental processes are at work during problem-solving. Among them are:

Perceptually recognizing the problem
Representing the problem in memory
Considering relevant information that applies to the problem
Identifying different aspects of the problem
Labeling and describing the problem

Problem-Solving Strategies

There are many ways to go about solving a problem. Some of these strategies might be used on their own, or you may decide to employ multiple approaches when working to figure out and fix a problem.

An algorithm is a step-by-step procedure that, by following certain "rules" produces a solution. Algorithms are commonly used in mathematics to solve division or multiplication problems. But they can be used in other fields as well.

In psychology, algorithms can be used to help identify individuals with a greater risk of mental health issues. For instance, research suggests that certain algorithms might help us recognize children with an elevated risk of suicide or self-harm.

One benefit of algorithms is that they guarantee an accurate answer. However, they aren't always the best approach to problem-solving, in part because detecting patterns can be incredibly time-consuming.

There are also concerns when machine learning is involved—also known as artificial intelligence (AI)—such as whether they can accurately predict human behaviors.

Heuristics are shortcut strategies that people can use to solve a problem at hand. These "rule of thumb" approaches allow you to simplify complex problems, reducing the total number of possible solutions to a more manageable set.

If you find yourself sitting in a traffic jam, for example, you may quickly consider other routes, taking one to get moving once again. When shopping for a new car, you might think back to a prior experience when negotiating got you a lower price, then employ the same tactics.

While heuristics may be helpful when facing smaller issues, major decisions shouldn't necessarily be made using a shortcut approach. Heuristics also don't guarantee an effective solution, such as when trying to drive around a traffic jam only to find yourself on an equally crowded route.

Trial and Error

A trial-and-error approach to problem-solving involves trying a number of potential solutions to a particular issue, then ruling out those that do not work. If you're not sure whether to buy a shirt in blue or green, for instance, you may try on each before deciding which one to purchase.

This can be a good strategy to use if you have a limited number of solutions available. But if there are many different choices available, narrowing down the possible options using another problem-solving technique can be helpful before attempting trial and error.

In some cases, the solution to a problem can appear as a sudden insight. You are facing an issue in a relationship or your career when, out of nowhere, the solution appears in your mind and you know exactly what to do.

Insight can occur when the problem in front of you is similar to an issue that you've dealt with in the past. Although, you may not recognize what is occurring since the underlying mental processes that lead to insight often happen outside of conscious awareness .

Research indicates that insight is most likely to occur during times when you are alone—such as when going on a walk by yourself, when you're in the shower, or when lying in bed after waking up.

How to Apply Problem-Solving Strategies in Real Life

If you're facing a problem, you can implement one or more of these strategies to find a potential solution. Here's how to use them in real life:

Create a flow chart . If you have time, you can take advantage of the algorithm approach to problem-solving by sitting down and making a flow chart of each potential solution, its consequences, and what happens next.
Recall your past experiences . When a problem needs to be solved fairly quickly, heuristics may be a better approach. Think back to when you faced a similar issue, then use your knowledge and experience to choose the best option possible.
Start trying potential solutions . If your options are limited, start trying them one by one to see which solution is best for achieving your desired goal. If a particular solution doesn't work, move on to the next.
Take some time alone . Since insight is often achieved when you're alone, carve out time to be by yourself for a while. The answer to your problem may come to you, seemingly out of the blue, if you spend some time away from others.

Obstacles to Problem-Solving

Problem-solving is not a flawless process as there are a number of obstacles that can interfere with our ability to solve a problem quickly and efficiently. These obstacles include:

Assumptions: When dealing with a problem, people can make assumptions about the constraints and obstacles that prevent certain solutions. Thus, they may not even try some potential options.
Functional fixedness : This term refers to the tendency to view problems only in their customary manner. Functional fixedness prevents people from fully seeing all of the different options that might be available to find a solution.
Irrelevant or misleading information: When trying to solve a problem, it's important to distinguish between information that is relevant to the issue and irrelevant data that can lead to faulty solutions. The more complex the problem, the easier it is to focus on misleading or irrelevant information.
Mental set: A mental set is a tendency to only use solutions that have worked in the past rather than looking for alternative ideas. A mental set can work as a heuristic, making it a useful problem-solving tool. However, mental sets can also lead to inflexibility, making it more difficult to find effective solutions.

How to Improve Your Problem-Solving Skills

In the end, if your goal is to become a better problem-solver, it's helpful to remember that this is a process. Thus, if you want to improve your problem-solving skills, following these steps can help lead you to your solution:

Recognize that a problem exists . If you are facing a problem, there are generally signs. For instance, if you have a mental illness , you may experience excessive fear or sadness, mood changes, and changes in sleeping or eating habits. Recognizing these signs can help you realize that an issue exists.
Decide to solve the problem . Make a conscious decision to solve the issue at hand. Commit to yourself that you will go through the steps necessary to find a solution.
Seek to fully understand the issue . Analyze the problem you face, looking at it from all sides. If your problem is relationship-related, for instance, ask yourself how the other person may be interpreting the issue. You might also consider how your actions might be contributing to the situation.
Research potential options . Using the problem-solving strategies mentioned, research potential solutions. Make a list of options, then consider each one individually. What are some pros and cons of taking the available routes? What would you need to do to make them happen?
Take action . Select the best solution possible and take action. Action is one of the steps required for change . So, go through the motions needed to resolve the issue.
Try another option, if needed . If the solution you chose didn't work, don't give up. Either go through the problem-solving process again or simply try another option.

You can find a way to solve your problems as long as you keep working toward this goal—even if the best solution is simply to let go because no other good solution exists.

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Huang F, Tang S, Hu Z. Unconditional perseveration of the short-term mental set in chunk decomposition . Front Psychol . 2018;9:2568. doi:10.3389/fpsyg.2018.02568

National Alliance on Mental Illness. Warning signs and symptoms .

Mayer RE. Thinking, problem solving, cognition, 2nd ed .

Schooler JW, Ohlsson S, Brooks K. Thoughts beyond words: When language overshadows insight. J Experiment Psychol: General . 1993;122:166-183. doi:10.1037/0096-3445.2.166

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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The Problem-Solving Process

Looking at the basic problem-solving process to help keep you on the right track.

By the Mind Tools Content Team

Problem-solving is an important part of planning and decision-making. The process has much in common with the decision-making process, and in the case of complex decisions, can form part of the process itself.

We face and solve problems every day, in a variety of guises and of differing complexity. Some, such as the resolution of a serious complaint, require a significant amount of time, thought and investigation. Others, such as a printer running out of paper, are so quickly resolved they barely register as a problem at all.

Despite the everyday occurrence of problems, many people lack confidence when it comes to solving them, and as a result may chose to stay with the status quo rather than tackle the issue. Broken down into steps, however, the problem-solving process is very simple. While there are many tools and techniques available to help us solve problems, the outline process remains the same.

The main stages of problem-solving are outlined below, though not all are required for every problem that needs to be solved.

1. Define the Problem

Clarify the problem before trying to solve it. A common mistake with problem-solving is to react to what the problem appears to be, rather than what it actually is. Write down a simple statement of the problem, and then underline the key words. Be certain there are no hidden assumptions in the key words you have underlined. One way of doing this is to use a synonym to replace the key words. For example, ‘We need to encourage higher productivity ’ might become ‘We need to promote superior output ’ which has a different meaning.

2. Analyze the Problem

Ask yourself, and others, the following questions.

Where is the problem occurring?
When is it occurring?
Why is it happening?

Be careful not to jump to ‘who is causing the problem?’. When stressed and faced with a problem it is all too easy to assign blame. This, however, can cause negative feeling and does not help to solve the problem. As an example, if an employee is underperforming, the root of the problem might lie in a number of areas, such as lack of training, workplace bullying or management style. To assign immediate blame to the employee would not therefore resolve the underlying issue.

Once the answers to the where, when and why have been determined, the following questions should also be asked:

Where can further information be found?
Is this information correct, up-to-date and unbiased?
What does this information mean in terms of the available options?

3. Generate Potential Solutions

When generating potential solutions it can be a good idea to have a mixture of ‘right brain’ and ‘left brain’ thinkers. In other words, some people who think laterally and some who think logically. This provides a balance in terms of generating the widest possible variety of solutions while also being realistic about what can be achieved. There are many tools and techniques which can help produce solutions, including thinking about the problem from a number of different perspectives, and brainstorming, where a team or individual write as many possibilities as they can think of to encourage lateral thinking and generate a broad range of potential solutions.

4. Select Best Solution

When selecting the best solution, consider:

Is this a long-term solution, or a ‘quick fix’?
Is the solution achievable in terms of available resources and time?
Are there any risks associated with the chosen solution?
Could the solution, in itself, lead to other problems?

This stage in particular demonstrates why problem-solving and decision-making are so closely related.

5. Take Action

In order to implement the chosen solution effectively, consider the following:

What will the situation look like when the problem is resolved?
What needs to be done to implement the solution? Are there systems or processes that need to be adjusted?
What will be the success indicators?
What are the timescales for the implementation? Does the scale of the problem/implementation require a project plan?
Who is responsible?

Once the answers to all the above questions are written down, they can form the basis of an action plan.

6. Monitor and Review

One of the most important factors in successful problem-solving is continual observation and feedback. Use the success indicators in the action plan to monitor progress on a regular basis. Is everything as expected? Is everything on schedule? Keep an eye on priorities and timelines to prevent them from slipping.

If the indicators are not being met, or if timescales are slipping, consider what can be done. Was the plan realistic? If so, are sufficient resources being made available? Are these resources targeting the correct part of the plan? Or does the plan need to be amended? Regular review and discussion of the action plan is important so small adjustments can be made on a regular basis to help keep everything on track.

Once all the indicators have been met and the problem has been resolved, consider what steps can now be taken to prevent this type of problem recurring? It may be that the chosen solution already prevents a recurrence, however if an interim or partial solution has been chosen it is important not to lose momentum.

Problems, by their very nature, will not always fit neatly into a structured problem-solving process. This process, therefore, is designed as a framework which can be adapted to individual needs and nature.

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Spencer Greenberg
14 min read

Problem-Solving Techniques That Work For All Types of Challenges

Essay by Spencer Greenberg, Clearer Thinking founder

A lot of people don’t realize that there are general purpose problem solving techniques that cut across domains. They can help you deal with thorny challenges in work, your personal life, startups, or even if you’re trying to prove a new theorem in math.

Below are the 26 general purpose problem solving techniques that I like best, along with a one-word name I picked for each, and hypothetical examples to illustrate what sort of strategy I’m referring to.

Consider opening up this list whenever you’re stuck solving a challenging problem. It’s likely that one or more of these techniques can help!

1. Clarifying

Try to define the problem you are facing as precisely as you can, maybe by writing down a detailed description of exactly what the problem is and what constraints exist for a solution, or by describing it in detail to another person. This may lead to you realizing the problem is not quite what you had thought, or that it has a more obvious solution than you thought.

Life Example

“I thought that I needed to find a new job, but when I thought really carefully about what I don’t like about my current job, I realized that I could likely fix those things by talking to my boss or even, potentially, just by thinking about them differently.”

Startup Example

“we thought we had a problem with users not wanting to sign up for the product, but when we carefully investigated what the problem really was, we discovered it was actually more of a problem of users wanting the product but then growing frustrated because of bad interface design.”

2. Subdividing

Break the problem down into smaller problems in such a way that if you solve each of the small problems, you will have solved the entire problem. Once a problem is subdivided it can also sometimes be parallelized (e.g., by involving different people to work on the different components).

“My goal is to get company Z to become a partner with my company, and that seems hard, so let me break that goal into the steps of (a) listing the ways that company Z would benefit from becoming a partner with us, (b) finding an employee at company Z who would be responsive to hearing about these benefits, and (c) tracking down someone who can introduce me to that employee.”

Math Example

“I want to prove that a certain property applies to all functions of a specific type, so I start by (a) showing that every function of that type can be written as a sum of a more specific type of function, then I show that (b) the property applies to each function of the more specific type, and finally I show that (c) if the property applies to each function in a set of functions then it applies to arbitrary sums of those functions as well.”

3. Simplifying

Think of the simplest variation of the problem that you expect you can solve that shares important features in common with your problem, and see if solving this simpler problem gives you ideas for how to solve the more difficult version.

“I don’t know how to hire a CTO, but I do know how to hire a software engineer because I’ve done it many times, and good CTOs will often themselves be good software engineers, so how can I tweak my software engineer hiring to make it appropriate for hiring a CTO?”

“I don’t know how to calculate this integral as it is, but if I remove one of the free parameters, I actually do know how to calculate it, and maybe doing that calculation will give me insight into the solution of the more complex integral.”

4. Crowd-sourcing

Use suggestions from multiple people to gain insight into how to solve the problem, for instance by posting on Facebook or Twitter requesting people’s help, or by posting to a Q&A site like Quora, or by sending emails to 10 people you know explaining the problem and requesting assistance.

Business Example

“Do you have experience outsourcing manufacturing to China? If so, I’d appreciate hearing your thoughts about how to approach choosing a vendor.”

Health Example

“I have trouble getting myself to stick to doing exercise daily. If you also used to have trouble getting yourself to exercise but don’t anymore, I’d love to know what worked to make it easier for you.”

5. Splintering

If the problem you are trying to solve has special cases that a solution to the general problem would also apply to, consider just one or two of these special cases as examples and solve the problem just for those cases first. Then see if a solution to one of those special cases helps you solve the problem in general.

“I want to figure out how to improve employee retention in general, let me examine how I could have improved retention in the case of the last three people that quit.”

“I want to figure out how to convince a large number of people to become customers, let me first figure out how to convince just Bill and John to become customers since they seem like the sort of customer I want to attract, and see what general lessons I learn from doing that.”

Read the books or textbooks that seem most related to the topic, and see whether they provide a solution to the problem, or teach you enough related information that you can now solve it yourself.

Economics Example

“Economists probably have already figured out reasonable ways to estimate demand elasticity, let’s see what an econometrics textbook says rather than trying to invent a technique from scratch.”

Mental Health Example

“I’ve been feeling depressed for a long time, maybe I should read some well-liked books about depression.”

7. Searching

Think of a similar problem that you think practitioners, bloggers or academics might have already solved and search online (e.g., via google, Q&A sites, or google scholar academic paper search) to see if anyone has done a write-up about how they solved it.

Advertising Example

“I’m having trouble figuring out the right advertising keywords to bid on for my specific product, I bet someone has a blog post describing how to approach choosing keywords for other related products.”

Machine Learning Example

“I can’t get this neural network to train properly in my specific case, I wonder if someone has written a tutorial about how to apply neural networks to related problems.”

8. Unconstraining

List all the constraints of the problem, then temporarily ignore one or more of the constraints that make the problem especially hard, and try to solve it without those constraints. If you can, then see if you can modify that unconstrained solution until it becomes a solution for the fully constrained problem.

“I need to hire someone who can do work at the intersection of machine learning and cryptography, let me drop the constraint of having cryptography experience and recruit machine learning people, then pick from among them a person that seems both generally capable and well positioned to learn the necessary cryptography.”

Computer Science Example

“I need to implement a certain algorithm, and it needs to be efficient, but that seems very difficult, so let me first figure out how to implement an inefficient version of the algorithm (i.e., drop the efficiency constraint), then at the end I will try to figure out how to optimize that algorithm for efficiency.”

9. Distracting

Fill your mind with everything you know about the problem, including facts, constraints, challenges, considerations, etc. and then stop thinking about the problem, and go and do a relaxing activity that requires little focus, such as walking, swimming, cooking, napping or taking a bath to see if new ideas or potential solutions pop into your mind unexpectedly as your subconscious continues to work on the problem without your attention.

“For three days, I’ve been trying to solve this problem at work, but the solution only came to me when I was strolling in the woods and not even thinking about it.”

Example from mathematician Henri Poincaré

“The incidents of the travel made me forget my mathematical work. Having reached Coutances, we entered an omnibus to go someplace or other. At the moment when I put my foot on the step, the idea came to me, without anything in my former thoughts seeming to have paved the way for it, that the transformations I had used to define the Fuchsian functions were identical with those of non-Euclidean geometry.”

10. Reexamining

Write down all the assumptions you’ve been making about the problem or about what a solution should I look like (yes – make an actual list). Then start challenging them one by one to see if they are actually needed or whether some may be unnecessary or mistaken.

Psychology Example

“We were assuming in our lab experiments that when people get angry they have some underlying reason behind it, but there may be some anger that is better modeled as a chemical fluctuation that is only loosely related to what happens in the lab, such as when people are quick to anger because they are hungry.”

“I need to construct a function that has this strange property, and so far I’ve assumed that the function must be smooth, but if it doesn’t actually need to be then perhaps I can construct just such a function out of simple linear pieces that are glued together.”

11. Reframing

Try to see the problem differently. For instance, by flipping the default, analyzing the inverse of the problem instead, thinking about how you would achieve the opposite of what you want, or shifting to an opposing perspective.

If we were building this company over again completely from scratch, what would we do differently in the design of our product, and can we pivot the product in that direction right now?”

“Should move to New York to take a job that pays $20,000 more per year? Well, if I already lived in New York, the decision to stay there rather than taking a $20,000 pay cut to move here would be an easy one. So maybe I’m overly focused on the current default of not being in New York and the short term unpleasantness of relocating.”

Marketing Example

“If I were one of our typical potential customers, what would I do to try to find a product like ours?”

12. Brainstorming

Set a timer for at least 5 minutes, and generate as many plausible solutions or ideas that you can without worrying about quality at all. Evaluate the ideas only at the end after the timer goes off.

“I’m going to set a timer for 5 minutes and come up with at least three new ways I could go about looking for a co-founder.”

“I’m going to set a timer for 20 minutes and come up with at least five possible explanations for why I’ve been feeling so anxious lately.”

13. Experting

Find an expert (or someone highly knowledgeable) in the topic area and ask their opinion about the best way to solve the problem.

“Why do you think most attempts at creating digital medical records failed, and what would someone have to do differently to have a reasonable chance at success?”

“What sort of optimization algorithm would be most efficient for minimizing the objective functions of this type?”

14. Eggheading

Ask the smartest person you know how they would solve the problem. Be sure to send an email in advance, describing the details so that this person has time to deeply consider the problem before you discuss it.

“Given the information I sent you about our competitors and the interviews we’ve done with potential customers, in which direction would you pivot our product if you were me (and why)?”

Research Example

“Given the information I sent you about our goals and the fact that our previous research attempts have gotten nowhere, how would you approach researching this topic to find the answer we need?”

15. Guessing

Start with a guess for what the solution could be, now check if it actually works and if not, start tweaking that guess to see if you can morph it into something that could work.

“I don’t know what price to use for the product we’re selling, so let me start with an initial guess and then begin trying to sell the thing, and tweak the price down if it seems to be a sticking point for customers, and tweak the price up if the customers don’t seem to pay much attention to the price.”

“My off the cuff intuition says that this differential equation might have a solution of the form x^a * e^(b x)for some a or b, let me plug it into the equation to see if indeed it satisfies the equation for any choice of a and b, and if not, let me see if I can tweak it to make something similar work.”

“I don’t know what the most effective diet for me would be, so I’ll just use my intuition to ban from my diet some foods that seem both unhealthy and addictive, and see if that helps.”

16. Comparing

Think of similar domains you already understand or similar problems you have already solved in the past, and see whether your knowledge of those domains or solutions to those similar problems may work as a complete or partial solution here.

“I don’t know how to find someone to fix things in my apartment, but I have found a good house cleaner before by asking a few friends who they use, so maybe I can simply use the same approach for finding a person to fix things.”

“This equation I’m trying to simplify reminds me of work I’m familiar with related to Kullback-Leibler divergence, I wonder if results from information theory could be applied in this case.”

17. Outsourcing

Consider whether you can hire someone to solve this problem, instead of figuring out how to solve it yourself.

“I don’t really understand how to get media attention for my company, so let me hire a public relations firm and let them handle the process.”

“I have no fashion sense, but I’d like to look better. Maybe I should hire someone fashionable who works in apparel to go shopping with me and help me choose what I should wear.”

18. Experimenting

Rapidly develop possible solutions and test them out (in sequence, or in parallel) by applying cheap and fast experiments. Discard those that don’t work, or iterate on them to improve them based on what you learn from the experiments.

“We don’t know if people will like a product like the one we have in mind, but we can put together a functioning prototype quickly, show five people that seem like they could be potential users, and iterate or create an entirely new design based on how they respond.”

“I don’t know if cutting out sugar will help improve my energy levels, but I can try it for two weeks and see if I notice any differences.”

19. Generalizing

Consider the more general case of the specific problem you are trying to solve, and then work on solving the general version instead. Paradoxically, it is sometimes easier to make progress on the general case rather than a specific one because it increases your focus on the structure of the problem rather than unimportant details.

“I want to figure out how to get this particular key employee more motivated to do good work, let me construct a model of what makes employees motivated to do good work in general, then I’ll apply it to this case.”

“I want to solve this specific differential equation, but it’s clearly a special case of a more general class of differential equations, let me study the general class and see what I can learn about them first and then apply what I learn to the specific case.”

20. Approximating

Consider whether a partial or approximate solution would be acceptable and, if so, aim for that instead of a full or exact solution.

“Our goal is to figure out which truck to send out for which delivery, which theoretically depends on many factors such as current location, traffic conditions, truck capacity, fuel efficiency, how many hours the driver has been on duty, the number of people manning each truck, the hourly rate we pay each driver, etc. etc. Maybe if we focus on just the three variables that we think are most important, we can find a good enough solution.”

“Finding a solution to this equation seems difficult, but if I approximate one of the terms linearly it becomes much easier, and maybe for the range of values we’re interested in, that’s close enough to an exact solution!”

21. Annihilating

Try to prove that the problem you are attempting to solve is actually impossible. If you succeed, you may save yourself a lot of time working on something impossible. Furthermore, in attempting to prove that the problem is impossible, you may gain insight into what makes it actually possible to solve, or if it turns out to truly be impossible, figure out how you could tweak the problem to make it solvable.

“I’m struggling to find a design for a theoretical voting system that has properties X, Y, and Z, let me see if I can instead prove that no such voting system with these three properties could possibly exist.”

“My goal has been to prove that this property always applies to this class of functions, let me see if I can generate a counterexample to prove that this goal is actually impossible.”

Physics Example

“I was trying to design a physical system with certain properties, but I now realize that if such a system could be realized, then it would allow for perpetual motion, and therefore it is impossible to build the sort of system I had in mind.”

22. Modeling

Try to build an explicit model of the situation, including what elements there are and how they related to each other. For instance, try drawing a diagram or flow chart that encapsulates your understanding of all the important information that relates to the problem.

“I’ve noticed that there are certain situations that cause me to freak out that would not bother other people. So what are the common elements when this happens, and how do they seem to relate to each other and to the way I end up feeling? Let me see if I can draw a diagram of this on paper.”

“What are all the different groups (e.g., providers, payers, patients) involved in the healthcare system, and if we diagram how they interact with each other, will that give us ideas for how we can sell our healthcare product?”

23. Brute forcing

One-by-one, consider every possible solution to the problem until you’ve found a good one or exhausted them all.

Startup example

“We’re not sure the order that these four parts of the user registration process should go in, so let’s make a list of all 24 possible orderings, and examine them one by one to see which makes the most sense.”

“It’s not clear how to pick which of these machine learning methods to use on this problem, but since we have lots of data, we can just try each of the algorithms and see which makes the most accurate predictions on data we’ve held to the side for testing.”

24. Refocusing

Forget about trying to solve the problem, and instead consider why you are trying to solve it. Then consider if there is a different problem you can work on that is aimed at producing the same sort of value in a different way.

Startup Example 1

“Maybe instead of trying increasingly hard to figure out how to get this type of consumer to buy, we need to switch our focus to the problem of how to sell to businesses, since what we actually care about is selling it, not selling it to one particular group.”

Startup Example 2

“I’ve been banging my head against the wall trying to implement this extremely complex feature, but there are lots of features that users would find just as valuable that are much easier to implement, maybe I should focus on those instead.”

25. Sidestepping

Consider whether you really want to spend more time trying to solve this problem and whether you can avoid the problem by instead working on totally different problems that you also care about.

“We’ve tried selling our solution to replace Excel for 12 months without much success, maybe we should go back to the drawing board and consider designing a totally new product. Our assumptions about customer needs seem to simply have been wrong.”

“I’ve spent six months on this math problem with little progress, but there are two other math problems I’m equally excited about, so maybe I should spend some time investigating whether one of those may be more tractable.”

26. Aggregating

Consider whether multiple problems you’re now experiencing might, in fact, be caused by the same source of difficulty, rather than being independent problems.

“I seem to be having conflict with a few different friends right now – could it be that I’m doing something without realizing it that is increasing my chance of conflict with all of them?”

“Three employees have quit in the last month. Perhaps the primary problem isn’t really about convincing this one important employee to stay, which is how I was framing it, but rather, about identifying why people keep leaving more generally.”

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A Better Framework for Solving Tough Problems

Start with trust and end with speed.

Apple Podcasts

When it comes to solving complicated problems, the default for many organizational leaders is to take their time to work through the issues at hand. Unfortunately, that often leads to patchwork solutions or problems not truly getting resolved.

But Anne Morriss offers a different framework. In this episode, she outlines a five-step process for solving any problem and explains why starting with trust and ending with speed is so important for effective change leadership. As she says, “Let’s get into dialogue with the people who are also impacted by the problem before we start running down the path of solving it.”

Morriss is an entrepreneur and leadership coach. She’s also the coauthor of the book, Move Fast and Fix Things: The Trusted Leader’s Guide to Solving Hard Problems .

Key episode topics include: strategy, decision making and problem solving, strategy execution, managing people, collaboration and teams, trustworthiness, organizational culture, change leadership, problem solving, leadership.

HBR On Strategy curates the best case studies and conversations with the world’s top business and management experts, to help you unlock new ways of doing business. New episodes every week.

Listen to the full HBR IdeaCast episode: How to Solve Tough Problems Better and Faster (2023)
Find more episodes of HBR IdeaCast
Discover 100 years of Harvard Business Review articles, case studies, podcasts, and more at HBR.org .

HANNAH BATES: Welcome to HBR On Strategy , case studies and conversations with the world’s top business and management experts, hand-selected to help you unlock new ways of doing business.

When it comes to solving complicated problems, many leaders only focus on the most apparent issues. Unfortunately that often leads to patchwork or partial solutions. But Anne Morriss offers a different framework that aims to truly tackle big problems by first leaning into trust and then focusing on speed.

Morriss is an entrepreneur and leadership coach. She’s also the co-author of the book, Move Fast and Fix Things: The Trusted Leader’s Guide to Solving Hard Problems . In this episode, she outlines a five-step process for solving any problem. Some, she says, can be solved in a week, while others take much longer. She also explains why starting with trust and ending with speed is so important for effective change leadership.

This episode originally aired on HBR IdeaCast in October 2023. Here it is.

CURT NICKISCH: Welcome to the HBR IdeaCast from Harvard Business Review. I’m Curt Nickisch.

Problems can be intimidating. Sure, some problems are fun to dig into. You roll up your sleeves, you just take care of them; but others, well, they’re complicated. Sometimes it’s hard to wrap your brain around a problem, much less fix it.

And that’s especially true for leaders in organizations where problems are often layered and complex. They sometimes demand technical, financial, or interpersonal knowledge to fix. And whether it’s avoidance on the leaders’ part or just the perception that a problem is systemic or even intractable, problems find a way to endure, to keep going, to keep being a problem that everyone tries to work around or just puts up with.

But today’s guest says that just compounds it and makes the problem harder to fix. Instead, she says, speed and momentum are key to overcoming a problem.

Anne Morriss is an entrepreneur, leadership coach and founder of the Leadership Consortium and with Harvard Business School Professor Francis Frei, she wrote the new book, Move Fast and Fix Things: The Trusted Leaders Guide to Solving Hard Problems . Anne, welcome back to the show.

ANNE MORRISS: Curt, thank you so much for having me.

CURT NICKISCH: So, to generate momentum at an organization, you say that you really need speed and trust. We’ll get into those essential ingredients some more, but why are those two essential?

ANNE MORRISS: Yeah. Well, the essential pattern that we observed was that the most effective change leaders out there were building trust and speed, and it didn’t seem to be a well-known observation. We all know the phrase, “Move fast and break things,” but the people who were really getting it right were moving fast and fixing things, and that was really our jumping off point. So when we dug into the pattern, what we observed was they were building trust first and then speed. This foundation of trust was what allowed them to fix more things and break fewer.

CURT NICKISCH: Trust sounds like a slow thing, right? If you talk about building trust, that is something that takes interactions, it takes communication, it takes experiences. Does that run counter to the speed idea?

ANNE MORRISS: Yeah. Well, this issue of trust is something we’ve been looking at for over a decade. One of the headlines in our research is it’s actually something we’re building and rebuilding and breaking all the time. And so instead of being this precious, almost farbege egg, it’s this thing that is constantly in motion and this thing that we can really impact when we’re deliberate about our choices and have some self-awareness around where it’s breaking down and how it’s breaking down.

CURT NICKISCH: You said break trust in there, which is intriguing, right? That you may have to break trust to build trust. Can you explain that a little?

ANNE MORRISS: Yeah, well, I’ll clarify. It’s not that you have to break it in order to build it. It’s just that we all do it some of the time. Most of us are trusted most of the time. Most of your listeners I imagine are trusted most of the time, but all of us have a pattern where we break trust or where we don’t build as much as could be possible.

CURT NICKISCH: I want to talk about speed, this other essential ingredient that’s so intriguing, right? Because you think about solving hard problems as something that just takes a lot of time and thinking and coordination and planning and designing. Explain what you mean by it? And also, just how we maybe approach problems wrong by taking them on too slowly?

ANNE MORRISS: Well, Curt, no one has ever said to us, “I wish I had taken longer and done less.” We hear the opposite all the time, by the way. So what we really set out to do was to create a playbook that anyone can use to take less time to do more of the things that are going to make your teams and organizations stronger.

And the way we set up the book is okay, it’s really a five step process. Speed is the last step. It’s the payoff for the hard work you’re going to do to figure out your problem, build or rebuild trust, expand the team in thoughtful and strategic ways, and then tell a real and compelling story about the change you’re leading.

Only then do you get to go fast, but that’s an essential part of the process, and we find that either people under emphasize it or speed has gotten a bad name in this world of moving fast and breaking things. And part of our mission for sure was to rehabilitate speed’s reputation because it is an essential part of the change leader’s equation. It can be the difference between good intentions and getting anything done at all.

CURT NICKISCH: You know, the fact that nobody ever tells you, “I wish we had done less and taken more time.” I think we all feel that, right? Sometimes we do something and then realize, “Oh, that wasn’t that hard and why did it take me so long to do it? And I wish I’d done this a long time ago.” Is it ever possible to solve a problem too quickly?

ANNE MORRISS: Absolutely. And we see that all the time too. What we push people to do in those scenarios is really take a look at the underlying issue because in most cases, the solution is not to take your foot off the accelerator per se and slow down. The solution is to get into the underlying problem. So if it’s burnout or a strategic disconnect between what you’re building and the marketplace you’re serving, what we find is the anxiety that people attach to speed or the frustration people attach to speed is often misplaced.

CURT NICKISCH: What is a good timeline to think about solving a problem then? Because if we by default take too long or else jump ahead and we don’t fix it right, what’s a good target time to have in your mind for how long solving a problem should take?

ANNE MORRISS: Yeah. Well, we’re playful in the book and talking about the idea that many problems can be solved in a week. We set the book up five chapters. They’re titled Monday, Tuesday, Wednesday, Thursday, Friday, and we’re definitely having fun with that. And yet, if you count the hours in a week, there are a lot of them. Many of our problems, if you were to spend a focused 40 hours of effort on a problem, you’re going to get pretty far.

But our main message is, listen, of course it’s going to depend on the nature of the problem, and you’re going to take weeks and maybe even some cases months to get to the other side. What we don’t want you to do is take years, which tends to be our default timeline for solving hard problems.

CURT NICKISCH: So you say to start with identifying the problem that’s holding you back, seems kind of obvious. But where do companies go right and wrong with this first step of just identifying the problem that’s holding you back?

ANNE MORRISS: And our goal is that all of these are going to feel obvious in retrospect. The problem is we skip over a lot of these steps and this is why we wanted to underline them. So this one is really rooted in our observation and I think the pattern of our species that we tend to be overconfident in the quality of our thoughts, particularly when it comes to diagnosing problems.

And so we want to invite you to start in a very humble and curious place, which tends not to be our default mode when we’re showing up for work. We convince ourselves that we’re being paid for our judgment. That’s exactly what gets reinforced everywhere. And so we tend to counterintuitively, given what we just talked about, we tend to move too quickly through the diagnostic phase.

CURT NICKISCH: “I know what to do, that’s why you hired me.”

ANNE MORRISS: Exactly. “I know what to do. That’s why you hired me. I’ve seen this before. I have a plan. Follow me.” We get rewarded for the expression of confidence and clarity. And so what we’re inviting people to do here is actually pause and really lean into what are the root causes of the problem you’re seeing? What are some alternative explanations? Let’s get into dialogue with the people who are also impacted by the problem before we start running down the path of solving it.

CURT NICKISCH: So what do you recommend for this step, for getting to the root of the problem? What are questions you should ask? What’s the right thought process? What do you do on Monday of the week?

ANNE MORRISS: In our experience of doing this work, people tend to undervalue the power of conversation, particularly with other people in the organization. So we will often advocate putting together a team of problem solvers, make it a temporary team, really pull in people who have a particular perspective on the problem and create the space, make it as psychologically safe as you can for people to really, as Chris Argyris so beautifully articulated, discuss the undiscussable.

And so the conditions for that are going to look different in every organization depending on the problem, but if you can get a space where smart people who have direct experience of a problem are in a room and talking honestly with each other, you can make an extraordinary amount of progress, certainly in a day.

CURT NICKISCH: Yeah, that gets back to the trust piece.

ANNE MORRISS: Definitely.

CURT NICKISCH: How do you like to start that meeting, or how do you like to talk about it? I’m just curious what somebody on that team might hear in that meeting, just to get the sense that it’s psychologically safe, you can discuss the undiscussable and you’re also focusing on the identification part. What’s key to communicate there?

ANNE MORRISS: Yeah. Well, we sometimes encourage people to do a little bit of data gathering before those conversations. So the power of a quick anonymous survey around whatever problem you’re solving, but also be really thoughtful about the questions you’re going to ask in the moment. So a little bit of preparation can go a long way and a little bit of thoughtfulness about the power dynamic. So who’s going to walk in there with license to speak and who’s going to hold back? So being thoughtful about the agenda, about the questions you’re asking about the room, about the facilitation, and then courage is a very infectious emotion.

So if you can early on create the conditions for people to show up bravely in that conversation, then the chance that you’re going to get good information and that you’re going to walk out of that room with new insight in the problem that you didn’t have when you walked in is extraordinarily high.

CURT NICKISCH: Now, in those discussions, you may have people who have different perspectives on what the problem really is. They also bear different costs of addressing the problem or solving it. You talked about the power dynamic, but there’s also an unfairness dynamic of who’s going to actually have to do the work to take care of it, and I wonder how you create a culture in that meeting where it’s the most productive?

ANNE MORRISS: For sure, the burden of work is not going to be equitably distributed around the room. But I would say, Curt, the dynamic that we see most often is that people are deeply relieved that hard problems are being addressed. So it really can create, and more often than not in our experience, it does create this beautiful flywheel of action, creativity, optimism. Often when problems haven’t been addressed, there is a fair amount of anxiety in the organization, frustration, stagnation. And so credible movement towards action and progress is often the best antidote. So even if the plan isn’t super clear yet, if it’s credible, given who’s in the room and their decision rights and mandate, if there’s real momentum coming out of that to make progress, then that tends to be deeply energizing to people.

CURT NICKISCH: I wonder if there’s an organization that you’ve worked with that you could talk about how this rolled out and how this took shape?

ANNE MORRISS: When we started working with Uber, that was wrestling with some very public issues of culture and trust with a range of stakeholders internally, the organization, also external, that work really started with a campaign of listening and really trying to understand where trust was breaking down from the perspective of these stakeholders?

So whether it was female employees or regulators or riders who had safety concerns getting into the car with a stranger. This work, it starts with an honest internal dialogue, but often the problem has threads that go external. And so bringing that same commitment to curiosity and humility and dialogue to anyone who’s impacted by the problem is the fastest way to surface what’s really going on.

CURT NICKISCH: There’s a step in this process that you lay out and that’s communicating powerfully as a leader. So we’ve heard about listening and trust building, but now you’re talking about powerful communication. How do you do this and why is it maybe this step in the process rather than the first thing you do or the last thing you do?

ANNE MORRISS: So in our process, again, it’s the days of the week. On Monday you figured out the problem. Tuesday you really got into the sandbox in figuring out what a good enough plan is for building trust. Wednesday, step three, you made it better. You created an even better plan, bringing in new perspectives. Thursday, this fourth step is the day we’re saying you got to go get buy-in. You got to bring other people along. And again, this is a step where we see people often underinvest in the power and payoff of really executing it well.

CURT NICKISCH: How does that go wrong?

ANNE MORRISS: Yeah, people don’t know the why. Human behavior and the change in human behavior really depends on a strong why. It’s not just a selfish, “What’s in it for me?” Although that’s helpful, but where are we going? I may be invested in a status quo and I need to understand, okay, if you’re going to ask me to change, if you’re going to invite me into this uncomfortable place of doing things differently, why am I here? Help me understand it and articulate the way forward and language that not only I can understand, but also that’s going to be motivating to me.

CURT NICKISCH: And who on my team was part of this process and all that kind of stuff?

ANNE MORRISS: Oh, yeah. I may have some really important questions that may be in the way of my buy-in and commitment to this plan. So certainly creating a space where those questions can be addressed is essential. But what we found is that there is an architecture of a great change story, and it starts with honoring the past, honoring the starting place. Sometimes we’re so excited about the change and animated about the change that what has happened before or what is even happening in the present tense is low on our list of priorities.

Or we want to label it bad, because that’s the way we’ve thought about the change, but really pausing and honoring what came before you and all the reasonable decisions that led up to it, I think can be really helpful to getting people emotionally where you want them to be willing to be guided by you. Going back to Uber, when Dara Khosrowshahi came in.

CURT NICKISCH: This is the new CEO.

ANNE MORRISS: The new CEO.

CURT NICKISCH: Replaced Travis Kalanick, the founder and first CEO, yeah.

ANNE MORRISS: Yeah, and had his first all-hands meeting. One of his key messages, and this is a quote, was that he was going to retain the edge that had made Uber, “A force of nature.” And in that meeting, the crowd went wild because this is also a company that had been beaten up publicly for months and months and months, and it was a really powerful choice. And his predecessor, Travis was in the room, and he also honored Travis’ incredible work and investment in bringing the company to the place where it was.

And I would use words like grace to also describe those choices, but there’s also an incredible strategic value to naming the starting place for everybody in the room because in most cases, most people in that room played a role in getting to that starting place, and you’re acknowledging that.

CURT NICKISCH: You can call it grace. Somebody else might call it diplomatic or strategic. But yeah, I guess like it or not, it’s helpful to call out and honor the complexity of the way things have been done and also the change that’s happening.

ANNE MORRISS: Yeah, and the value. Sometimes honoring the past is also owning what didn’t work or what wasn’t working for stakeholders or segments of the employee team, and we see that around culture change. Sometimes you’ve got to acknowledge that it was not an equitable environment, but whatever the worker, everyone in that room is bringing that pass with them. So again, making it discussable and using it as the jumping off place is where we advise people to start.

Then you’ve earned the right to talk about the change mandate, which we suggest using clear and compelling language about the why. “This is what happened, this is where we are, this is the good and the bad of it, and here’s the case for change.”

And then the last part, which is to describe a rigorous and optimistic way forward. It’s a simple past, present, future arc, which will be familiar to human beings. We love stories as human beings. It’s among the most powerful currency we have to make sense of the world.

CURT NICKISCH: Yeah. Chronological is a pretty powerful order.

ANNE MORRISS: Right. But again, the change leaders we see really get it right, are investing an incredible amount of time into the storytelling part of their job. Ursula Burns, the Head of Xerox is famous for the months and years she spent on the road just telling the story of Xerox’s change, its pivot into services to everyone who would listen, and that was a huge part of her success.

CURT NICKISCH: So Friday or your fifth step, you end with empowering teams and removing roadblocks. That seems obvious, but it’s critical. Can you dig into that a little bit?

ANNE MORRISS: Yeah. Friday is the fun day. Friday’s the release of energy into the system. Again, you’ve now earned the right to go fast. You have a plan, you’re pretty confident it’s going to work. You’ve told the story of change the organization, and now you get to sprint. So this is about really executing with urgency, and it’s about a lot of the tactics of speed is where we focus in the book. So the tactics of empowerment, making tough strategic trade-offs so that your priorities are clear and clearly communicated, creating mechanisms to fast-track progress. At Etsy, CEO Josh Silverman, he labeled these projects ambulances. It’s an unfortunate metaphor, but it’s super memorable. These are the products that get to speed out in front of the other ones because the stakes are high and the clock is sticking.

CURT NICKISCH: You pull over and let it go by.

ANNE MORRISS: Yeah, exactly. And so we have to agree as an organization on how to do something like that. And so we see lots of great examples both in young organizations and big complex biotech companies with lots of regulatory guardrails have still found ways to do this gracefully.

And I think we end with this idea of conflict debt, which is a term we really love. Leanne Davey, who’s a team scholar and researcher, and anyone in a tech company will recognize the idea of tech debt, which is this weight the organization drags around until they resolve it. Conflict debt is a beautiful metaphor because it is this weight that we drag around and slows us down until we decide to clean it up and fix it. The organizations that are really getting speed right have figured out either formally or informally, how to create an environment where conflict and disagreements can be gracefully resolved.

CURT NICKISCH: Well, let’s talk about this speed more, right? Because I think this is one of those places that maybe people go wrong or take too long, and then you lose the awareness of the problem, you lose that urgency. And then that also just makes it less effective, right? It’s not just about getting the problem solved as quickly as possible. It’s also just speed in some ways helps solve the problem.

ANNE MORRISS: Oh, yeah. It really is the difference between imagining the change you want to lead and really being able to bring it to life. Speed is the thing that unlocks your ability to lead change. It needs a foundation, and that’s what Monday through Thursday is all about, steps one through four, but the finish line is executing with urgency, and it’s that urgency that releases the system’s energy, that communicates your priorities, that creates the conditions for your team to make progress.

CURT NICKISCH: Moving fast is something that entrepreneurs and tech companies certainly understand, but there’s also this awareness that with big companies, the bigger the organization, the harder it is to turn the aircraft carrier around, right? Is speed relative when you get at those levels, or do you think this is something that any company should be able to apply equally?

ANNE MORRISS: We think this applies to any company. The culture really lives at the level of team. So we believe you can make a tremendous amount of progress even within your circle of control as a team leader. I want to bring some humility to this and careful of words like universal, but we do think there’s some universal truths here around the value of speed, and then some of the byproducts like keeping fantastic people. Your best people want to solve problems, they want to execute, they want to make progress and speed, and the ability to do that is going to be a variable in their own equation of whether they stay or they go somewhere else where they can have an impact.

CURT NICKISCH: Right. They want to accomplish something before they go or before they retire or finish something out. And if you’re able to just bring more things on the horizon and have it not feel like it’s going to be another two years to do something meaningful.

ANNE MORRISS: People – I mean, they want to make stuff happen and they want to be around the energy and the vitality of making things happen, which again, is also a super infectious phenomenon. One of the most important jobs of a leader, we believe, is to set the metabolic pace of their teams and organizations. And so what we really dig into on Friday is, well, what does that look like to speed something up? What are the tactics of that?

CURT NICKISCH: I wonder if that universal truth, that a body in motion stays in motion applies to organizations, right? If an organization in motion stays in motion, there is something to that.

ANNE MORRISS: Absolutely.

CURT NICKISCH: Do you have a favorite client story to share, just where you saw speed just become a bit of a flywheel or just a positive reinforcement loop for more positive change at the organization?

ANNE MORRISS: Yeah. We work with a fair number of organizations that are on fire. We do a fair amount of firefighting, but we also less dramatically do a lot of fire prevention. So we’re brought into organizations that are working well and want to get better, looking out on the horizon. That work is super gratifying, and there is always a component of, well, how do we speed this up?

What I love about that work is there’s often already a high foundation of trust, and so it’s, well, how do we maintain that foundation but move this flywheel, as you said, even faster? And it’s really energizing because often there’s a lot of pent-up energy that… There’s a lot of loyalty to the organization, but often it’s also frustration and pent-up energy. And so when that gets released, when good people get the opportunity to sprint for the first time in a little while, it’s incredibly energizing, not just for us, but for the whole organization.

CURT NICKISCH: Anne, this is great. I think finding a way to solve problems better but also faster is going to be really helpful. So thanks for coming on the show to talk about it.

ANNE MORRISS: Oh, Curt, it was such a pleasure. This is my favorite conversation. I’m delighted to have it anytime.

HANNAH BATES: That was entrepreneur, leadership coach, and author Anne Morriss – in conversation with Curt Nickisch on HBR IdeaCast.

We’ll be back next Wednesday with another hand-picked conversation about business strategy from Harvard Business Review. If you found this episode helpful, share it with your friends and colleagues, and follow our show on Apple Podcasts, Spotify, or wherever you get your podcasts. While you’re there, be sure to leave us a review.

When you’re ready for more podcasts, articles, case studies, books, and videos with the world’s top business and management experts, you’ll find it all at HBR.org.

This episode was produced by Mary Dooe, Anne Saini, and me, Hannah Bates. Ian Fox is our editor. Special thanks to Rob Eckhardt, Maureen Hoch, Erica Truxler, Ramsey Khabbaz, Nicole Smith, Anne Bartholomew, and you – our listener. See you next week.

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Self-Esteem

It’s ok you can’t solve every problem, trying to “fix" everything can leave you feeling like a failure..

Updated May 10, 2024 | Reviewed by Ray Parker

What Is Self-Esteem?
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Your intrinsic value is more than what you can do for other people.

You are still worthwhile and can be successful, even if you don’t have all the solutions.

Consider which decision will make you feel you’ve stayed true to your values.

In coaching others, I often discuss problem-solving strategies to help individuals think creatively and consider many options when they are faced with challenging situations.

Problem solving 1-2 includes the following:

Define the problem, identify obstacles, and set realistic goals .
Generate a variety of alternative solutions to overcome obstacles identified.
Choose which idea has the highest likelihood to achieve the goal.
Try out the solution in real-life and see if it worked or not.

Problem-solving strategies can be helpful in many situations. Thinking creatively and testing out different potential solutions can help you come up with alternative ways of solving your problems.

While many problems can be solved, there are also situations in which there is no “perfect” solution or in which what seems to be the best solution still leaves you feeling unsatisfied or like you’re not doing enough.

I encourage you to increase your comfort around the following three truths:

1. You can’t always solve everyone else’s problems.

2. You can’t always solve all of your own problems.

3. You are not a failure if you can’t solve every problem.

You can’t always solve everyone else’s problems.

When someone around you needs help, do you feel compelled to find solutions to their problem?

Are you seen as the problem solver at your job or in your close relationships?

Does it feel uncomfortable for you to listen to someone tell you about a problem and not offer solutions?

There are times when others come to you because they know you can help them solve a problem. There are also times when the other person is coming to you not for a solution to their problem, but for support, empathy, and a listening ear.

Your relationships may be negatively impacted if others feel that you don’t fully listen and only try to “fix” everything for them. While this may feel like a noble act, it may lead the other person to feel like they have failed or that you think they are unable to solve their own problems.

Consider approaching such situations with curiosity by saying to the other person:

As you share this information with me, tell me how I can best support you.
What would be most helpful right now? Are you looking for an empathetic ear or want to brainstorm potential next steps?
I want to be sure I am as helpful as I can be right now; what are you hoping to get out of our conversation?

You can’t always solve all of your own problems.

We are taught from a young age that problems have a solution. For example, while solving word problems in math class may not have been your favorite thing to do, you knew there was ultimately a “right” answer. Many times, the real world is much more complex, and many of the problems that you face do not have clear or “right” answers.

You may often be faced with finding solutions that do the most good for the most amount of people, but you know that others may still be left out or feel unsatisfied with the result.

Your beliefs about yourself, other people, and the world can sometimes help you make decisions in such circumstances. You may ask for help from others. Some may consider their faith or spirituality for guidance. While others may consider philosophical theories.

Knowing that there often isn’t a “perfect” solution, you may consider asking yourself some of the following questions:

What’s the healthiest decision I can make? The healthiest decision for yourself and for those who will be impacted.
Imagine yourself 10 years in the future, looking back on the situation: What do you think the future-you would encourage you to do?
What would a wise person do?
What decision will allow you to feel like you’ve stayed true to your values?

You are not a failure if you can’t solve all of the problems.

If you have internalized feeling like you need to be able to solve every problem that comes across your path, you may feel like a failure each time you don’t.

It’s impossible to solve every problem.

Your intrinsic value is more than what you can do for other people. You have value because you are you.

Consider creating more realistic and adaptive thoughts around your ability to help others and solve problems.

Some examples include:

I am capable, even without solving all of the problems.
I am worthwhile, even if I’m not perfect.
What I do for others does not define my worth.
In living my values, I know I’ve done my best.

I hope you utilize the information above to consider how you can coach yourself the next time you:

Start to solve someone else’s problem without being asked.
Feel stuck in deciding the best next steps.
Judge yourself negatively.

1. D'zurilla, T. J., & Goldfried, M. R. (1971). Problem solving and behavior modification. Journal of abnormal psychology, 78(1), 107.

2. D’Zurilla, T. J., & Nezu, A. M. (2010). Problem-solving therapy. Handbook of cognitive-behavioral therapies, 3(1), 197-225.

Julie Radico, Psy.D. ABPP, is a board-certified clinical psychologist and coauthor of You Will Get Through This: A Mental Health First-Aid Kit.

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At any moment, someone’s aggravating behavior or our own bad luck can set us off on an emotional spiral that threatens to derail our entire day. Here’s how we can face our triggers with less reactivity so that we can get on with our lives.

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Unlocking Innovative Solutions with TRIZ: A Powerful Problem-Solving Methodology

May 20th, 2024

Businesses constantly search for innovative fixes to stay ahead and handle complex puzzles. But creation paths often hit snags, contradictions, and walls that seem impossible to climb. This is where TRIZ, the Theory of Inventive Problem Solving, shows its worth with a powerful method fueling breakthrough solutions and a constantly upgrading culture.

Developed decades ago by Soviet brainiac Genrich Altshuller after analyzing millions of patents across industries, TRIZ identifies the patterns behind successful ideas.

By furnishing a methodical framework for problem-solving and imagination, TRIZ empowers organizations to expertly handle technical and business complications.

TRIZ recognizes most problems stem from built-in clashes in a system. Where improving one aspect often damages another.

By systematically finding and resolving these contradictions, TRIZ guides solvers toward innovative answers bypassing the usual tradeoffs.

Key Highlights

Understand the origins and essence of TRIZ, a systematic approach to problem-solving and innovation rooted in the analysis of patents and inventions.
Explore the key principles and tools of TRIZ, including the Contradiction Matrix, Functional Analysis, Ideality, and Patterns of Evolution.
Learn a step-by-step approach to applying TRIZ in your organization.
Discover stories and applications of TRIZ across various industries, including engineering, manufacturing, business, and cross-industry domains.
Gain insights into building a culture of systematic innovation by embracing TRIZ through training, and fostering a mindset of creativity.

What is TRIZ?

TRIZ, an acronym for the Russian phrase “ Teoriya Resheniya Izobretatelskikh Zadatch “, stands for the Theory of Inventive Problem Solving.

This powerful methodology, developed by Genrich Altshuller and his colleagues in the Soviet Union, represents a systematic approach to innovation and problem-solving rooted in analyzing patents and inventions across various fields.

TRIZ operates on the premise that the evolution of technical systems follows distinct patterns and principles.

By studying these patterns and the underlying mechanisms that drive successful innovations, TRIZ provides a structured framework for understanding and resolving contradictions within a system, unlocking creative solutions that transcend traditional trade-offs and compromises.

The Essence of TRIZ

The essence of TRIZ lies in its ability to identify and resolve contradictions, which are often at the heart of many complex problems.

These contradictions can manifest as technical trade-offs, where improving one aspect of a system leads to the deterioration of another.

For instance, increasing the strength of a material may result in an increase in its weight, which is undesirable in certain applications.

TRIZ recognizes that true innovation occurs when these contradictions are addressed and resolved systematically.

By generalizing problems and solutions across industries, TRIZ leverages the collective knowledge and ingenuity of inventors and problem-solvers throughout history, providing a vast reservoir of proven techniques and principles that can be adapted and applied to specific challenges.

Moreover, TRIZ emphasizes the importance of understanding the patterns of technical evolution, which describe the natural progression of systems and technologies over time .

By anticipating and aligning with these patterns, problem-solvers can proactively identify opportunities for innovation and develop solutions that are effective and aligned with the system’s evolutionary trajectory.

Through its structured approach and extensive knowledge base, TRIZ empowers organizations to navigate the complexities of problem-solving and innovation, fostering a culture of systematic thinking and creative problem-solving that can yield breakthrough solutions and drive continuous improvement across various domains.

Key Principles and Tools of TRIZ

TRIZ is a powerful arsenal of principles and tools that provide a structured approach to problem-solving and innovation.

These principles and tools have been meticulously derived from the analysis of countless patents and inventions, distilling the collective wisdom and ingenuity of innovators throughout history.

By mastering these key principles and tools, problem-solvers can unlock a world of creative solutions and drive continuous improvement within their organizations.

The Contradiction Matrix

One of the fundamental tools in the TRIZ methodology is the Contradiction Matrix. This matrix serves as a powerful framework for identifying and resolving contradictions, which often lie at the root of many complex problems.

TRIZ recognizes two distinct types of contradictions:

Technical contradictions and trade-offs

These contradictions arise when improving one aspect of a system leads to the deterioration of another.

For instance, increasing the strength of a material may result in an increase in weight, which is undesirable in certain applications.

Physical contradictions and inherent conflicts

These contradictions occur when an object or system is subject to conflicting requirements or characteristics.

For example, a product may need to be both durable and lightweight, presenting an inherent contradiction.

The Contradiction Matrix provides a systematic approach to resolving these contradictions by mapping them to a set of 40 inventive principles.

These principles, derived from the analysis of countless patents, offer proven strategies and techniques for overcoming specific contradictions, enabling problem-solvers to generate innovative solutions that transcend traditional trade-offs.

Functional Analysis and Trimming

Effective problem-solving often requires a deep understanding of a system’s functions, interactions, and components.

TRIZ offers powerful tools for functional analysis and trimming, which enable problem-solvers to deconstruct and analyze complex systems in a structured manner.

Analyzing system functions and interactions: TRIZ employs techniques such as functional modeling and substance-field analysis to identify the relationships and interactions between various components within a system.

By understanding these interactions, problem-solvers can pinpoint potential areas for improvement or optimization.

Ideality and Patterns of Evolution

TRIZ is not merely a collection of tools but also a guiding philosophy that emphasizes the pursuit of ideality and the recognition of patterns in technical evolution.

Striving for the Ideal Final Result (IFR): The concept of ideality in TRIZ encourages problem-solvers to envision an ideal state where the desired functions are achieved without any adverse effects or limitations.

This aspirational mindset drives the search for innovative solutions that continually approach the ideal, pushing the boundaries of what is possible.

Understanding technical evolution patterns (S-curves): TRIZ recognizes that technical systems and technologies follow predictable patterns of evolution, often represented by S-curves .

By studying these patterns, problem-solvers can anticipate future developments, identify opportunities for innovation, and align their solutions with the natural trajectory of technical evolution.

Applying TRIZ: A Step-by-Step Approach

While the principles and tools of TRIZ may seem complex, the true power of this methodology lies in its structured and systematic approach to problem-solving.

By following a well-defined step-by-step process, organizations can harness the full potential of TRIZ to tackle even the most daunting challenges and drive innovation within their domains.

This approach not only ensures a thorough understanding of the problem but also provides a roadmap for leveraging the various TRIZ tools and techniques to generate and evaluate innovative solutions.

Defining the Problem and Identifying Contradictions

The first step in the TRIZ approach is to clearly define the problem at hand and identify the desired outcomes. This process involves a thorough analysis of the current situation, including the limitations, constraints, and requirements that must be addressed.

By establishing a clear understanding of the problem, problem-solvers can better recognize the inherent contradictions that lie at its core.

Recognizing technical and physical contradictions is a crucial aspect of this stage.

Technical contradictions, as we’ve discussed, arise when improving one aspect of a system leads to the deterioration of another. Physical contradictions, on the other hand, stem from conflicting requirements or characteristics within an object or system.

TRIZ provides specific tools and techniques for identifying and analyzing these contradictions, laying the foundation for the subsequent steps in the problem-solving process.

Utilizing TRIZ Tools and Techniques

Once the problem and its contradictions have been clearly defined, the next step is to leverage the various TRIZ tools and techniques to generate potential solutions.

This stage involves a systematic application of the principles and concepts we’ve discussed earlier, including:

Leveraging the Contradiction Matrix and Inventive Principles

By mapping the identified contradictions to the Contradiction Matrix, problem-solvers can access a wealth of inventive principles that offer proven strategies for resolving those contradictions.

These principles, derived from the analysis of countless patents, serve as a powerful source of inspiration and guidance for generating innovative solutions.

Conducting functional analysis and trimming

TRIZ’s functional analysis and trimming tools enable problem-solvers to deconstruct and analyze complex systems, identifying unnecessary components or functions that can be streamlined or eliminated.

This process of simplification often paves the way for innovative solutions by removing redundancies and enhancing efficiency.

Exploring patterns of evolution and ideality

TRIZ encourages problem-solvers to explore the patterns of technical evolution and strive for the Ideal Final Result (IFR).

By understanding these patterns and envisioning an ideal state, organizations can align their solutions with the natural trajectory of technical evolution and continually push the boundaries of what is possible.

Generating and Evaluating Solutions

With a deep understanding of the problem and its contradictions, and armed with the TRIZ tools and techniques, problem-solvers can then embark on the process of generating potential solutions.

This stage often involves ideation techniques based on TRIZ principles, such as the use of analogies, functional modeling, and the application of scientific effects.

However, generating solutions is only half the battle. TRIZ also provides a framework for evaluating potential solutions based on their feasibility, impact, and alignment with the desired outcomes.

This evaluation process involves assessing factors such as resource availability, technical feasibility, and potential risks or unintended consequences.

TRIZ in Practice: Success Stories and Applications

While the principles and concepts of TRIZ may seem abstract and theoretical, the true testament to its effectiveness lies in its practical applications across diverse industries and domains.

From engineering and manufacturing to business and management, TRIZ has proven itself as a powerful catalyst for innovation, driving organizations to develop groundbreaking solutions and achieve remarkable successes.

Engineering and Manufacturing Applications

TRIZ has found widespread adoption in the engineering and manufacturing sectors, where its principles have been instrumental in driving product design and development, as well as optimizing processes and reducing waste.

Product design and development

TRIZ has played a pivotal role in the creation of innovative products that push the boundaries of what is possible.

By resolving contradictions inherent in design requirements and leveraging the principles of technical evolution, TRIZ has enabled engineers to develop cutting-edge solutions that meet customer needs while overcoming technical limitations.

Examples include the development of more fuel-efficient aircraft designs, improved engine performance, and the creation of advanced materials with unique properties.

Process optimization and waste reduction

In the realm of manufacturing, TRIZ has been a driving force behind the optimization of production processes and the reduction of waste.

By applying functional analysis and trimming techniques, organizations have been able to streamline their operations, eliminate unnecessary steps, and enhance efficiency.

This has not only resulted in cost savings but has also contributed to sustainability efforts by minimizing resource consumption and environmental impact.

Business and Management Applications

While TRIZ originated in the realm of engineering and technology, its principles have proven equally valuable in the business and management spheres, where strategic planning, decision-making, and innovation management are paramount.

Strategic planning and decision-making: TRIZ offers a structured framework for analyzing complex business challenges and developing innovative strategies.

By identifying contradictions within organizational goals or operational processes, TRIZ enables decision-makers to transcend traditional trade-offs and develop holistic solutions that address multiple objectives simultaneously.

This approach has proven invaluable in areas such as market positioning, product portfolio management, and organizational restructuring .

Innovation management and problem-solving: In today’s highly competitive business landscape, innovation is a key driver of success.

TRIZ has emerged as a powerful tool for fostering a culture of continuous innovation within organizations.

By providing a systematic approach to problem-solving and idea generation, TRIZ empowers teams to tackle complex business challenges and develop innovative solutions that give them a competitive edge.

This has been particularly valuable in areas such as business process optimization, service innovation, and the development of new business models.

Cross-Industry Applications

The versatility and universality of TRIZ principles have enabled its application across a diverse range of industries, transcending the boundaries of engineering and business.

Pharmaceutical and biomedical innovations: TRIZ has played a crucial role in advancing the fields of pharmaceuticals and biomedicine.

By resolving contradictions inherent in drug formulation, delivery mechanisms, and medical device design, TRIZ has facilitated the development of innovative treatments, drug delivery systems, and cutting-edge medical technologies that improve patient outcomes and enhance the quality of healthcare.

Software and IT problem-solving: In the rapidly evolving world of software and information technology, TRIZ has proven to be a valuable asset for tackling complex technological challenges.

These success stories and applications serve as a testament to the power and versatility of TRIZ.

TRIZ has enabled organizations across various industries to achieve remarkable breakthroughs, drive continuous improvement , and maintain a competitive edge in an ever-changing business landscape by providing a structured and systematic approach to problem-solving and innovation.

Embracing TRIZ: Building a Culture of Systematic Innovation

While TRIZ offers a powerful methodology for problem-solving and innovation, its true impact extends far beyond the application of its tools and techniques.

To fully harness the potential of TRIZ, organizations must embrace a holistic approach that fosters a culture of systematic innovation.

Training and Skill Development

The success of TRIZ within an organization hinges on the development of a skilled and knowledgeable workforce. TRIZ certification programs and workshops play a crucial role in equipping employees with the necessary tools and techniques to apply TRIZ principles effectively.

These training initiatives not only impart theoretical knowledge but also provide hands-on experience and practical application scenarios, enabling participants to develop a deep understanding of TRIZ concepts and their real-world applications.

By making TRIZ an integral part of the organization’s DNA, it becomes a shared language and a common framework for problem-solving and innovation across all levels and departments.

Fostering a Mindset of Creativity and Problem-Solving

While TRIZ provides a structured approach to problem-solving, its true power lies in its ability to foster a mindset of creativity and innovation within the organization.

By encouraging innovative thinking and structured creativity, organizations can empower their teams to tackle complex challenges with confidence and ingenuity.

This mindset shift involves cultivating an environment that embraces divergent thinking, promotes risk-taking, and values the exploration of unconventional ideas.

It also entails providing employees with the necessary tools and resources to engage in creative problem-solving, such as dedicated ideation spaces, collaborative platforms, and opportunities for cross-functional collaboration.

By empowering teams to tackle complex challenges through the lens of TRIZ, organizations can unlock a wealth of innovative solutions that drive growth, enhance competitiveness, and create lasting value for stakeholders.

Continuous Improvement and Knowledge Sharing

The journey of innovation and problem-solving is never-ending, and organizations need to foster a culture of continuous improvement and knowledge sharing.

TRIZ plays a pivotal role in this endeavor by providing a framework for capturing and leveraging the solutions generated through its application.

By documenting and cataloging TRIZ-based solutions, organizations can build a comprehensive knowledge base that serves as a valuable resource for future problem-solving efforts.

This knowledge base not only preserves the collective wisdom and insights gained through past projects but also enables the organization to learn from its successes and failures, continuously refining and improving its approach to innovation.

TRIZ represents a powerful and methodical approach to problem-solving and creation, drawing on the collective genius of history’s countless innovators. Businesses unlock endless innovative solutions and enable constant upgrades by wholeheartedly embracing TRIZ and weaving it into a company’s fabric. This maintains an edge as the business landscape continuously evolves.

However, TRIZ’s true strength extends beyond techniques – it lies in the mindset shift toward systematic innovation. By cultivating an atmosphere valuing imagination, problem-solving, and sharing knowledge, companies unleash staff’s full potential. They harness TRIZ’s transformative might to achieve monumental breakthroughs and sustainable successes.

As we navigate modern business complexities, TRIZ shines as a guide, offering a structured path to innovation and a framework exceeding usual restrictions. By embracing TRIZ culture, organizations position themselves as pioneers. They push industry boundaries shaping industries’ futures.

In other words, let TRIZ light your fire for creation excellence. It equips mastery to drive sustainable successes through breakthrough solutions and continual upgrading spirit.

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More From Forbes

Success in sustainability: two cognitive strategies for effective problem-solving.

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Thomas Lim is the Vice-Dean of Centre for Systems Leadership at SIM Academy. He is an AI+Web3 practitioner & author of Think.Coach.Thrive!

Systems thinking and critical thinking are distinct yet complementary cognitive tools essential for effective problem-solving. Systems thinking allows businesses to understand and address the broad impacts of their actions on an interconnected system, while critical thinking sharpens decision-making, ensuring that outcomes are viable, ethical and based on solid reasoning.

Systems thinking provides a holistic perspective, focusing on how various components of a system interact and affect each other within a broader context. It emphasizes understanding the interconnections, dynamics, long-term impacts and patterns within systems to predict future behaviors and develop sustainable solutions.

This approach is particularly valuable in complex environments like organizational change, environmental management, and technological systems, where understanding the big picture is crucial.

On the other hand, critical thinking adopts a more analytical approach, concentrating on evaluating information and arguments, identifying logical inconsistencies, and making reasoned judgments. It involves dissecting complex problems into manageable parts, emphasizing evidence-based decision-making and rigorous evaluation of ideas and assumptions.

Critical thinking is key in activities that require clear, structured thinking, such as logical reasoning, decision-making, and solution evaluation, often focusing on scrutinizing existing solutions and preventing errors.

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Together, these methodologies enhance decision-making and problem-solving by providing both macro and micro analytical perspectives to the challenge at hand.

Integrating both of these ways of thinking into sustainability initiatives offers organizations a robust framework for tackling complex challenges through a structured yet flexible approach. It helps organizations transform their approach to sustainability from fragmented efforts into a coherent, strategic agenda that drives real change.

Here's how organizations can implement these two ways of thinking effectively:

Step 1: Articulating Vision And Current Reality

Begin by defining a clear sustainability vision and objectively assess the current state to identify gaps. What is the desired future and the existing barriers or deficiencies preventing its realization? Engaging in this step ensures that all stakeholders have a unified understanding of the objectives and challenges.

For instance, a government agency might aim for sustainable urban development while recognizing current inefficiencies in urban infrastructure. The systemic structure would take into consideration manpower availability, lifetime cost of building projects and green funding availability.

Step 2: Structuring Decisions Based On Evidence

Detail decisions across all levels from strategic to tactical, ensuring that each decision aligns with the overarching sustainability goals.

This step often involves using decision hierarchies to maintain clarity and relevance at every level, thus preventing duplications and identifying gaps in strategies.

For example, a multinational corporation might structure decisions around reducing its carbon footprint through supplier engagement programs. Using critical thinking methodologies, they could create an analytical and evidence-based workflow and test assumptions on handoffs to ensure compliance.

Step 3: Prioritizing Challenges At Different Levels Of Perspectives

Identify the most impactful sustainability challenge and focus resources and efforts on areas where they can make the most significant difference to help maximize impact.

For example, a healthcare provider may prioritize waste reduction in its facilities by improving waste segregation and processing and develop the necessary systems and processes in keeping with the new disposal methods. They may modify or eliminate altogether outdated policies, leading to new behaviors of pattern over time in personnel involved.

Step 4: Developing Nested Solutions

Use both systems and critical thinking to create comprehensive, innovative and interconnected solutions. This might involve using systems diagrams to visualize problems and how they relate and employing logical reasoning to evaluate potential solutions for effectiveness and feasibility.

Remember the government agency aiming for sustainable urban development? In this scenario, they may create a stakeholder map aligning and enabling various parties to translate purpose into strategy. This would allow them to co-create multifaceted urban plans that integrate green spaces and renewable energy solutions. As a result, corresponding tactics and activities happen in an integrated, not haphazard, way.

Step 5: Crafting A Theory of Success

Develop a clear and actionable theory of success that outlines the key actions and leverage points. This theory should detail how the proposed solutions will address the identified challenges and lead to the desired change, identifying where small interventions could lead to significant systemic improvements.

In the case of the multinational corporation, their leverage was in incentivizing suppliers to adopt low-carbon technologies. Their theory of success was not in "shifting the burden" but in creating a positive reinforcement loop where they focused on the quality of relationships for long-term commitment.

Step 6: Implementing And Adjusting The Strategy

Put the strategies into action while establishing mechanisms for ongoing monitoring and adaptation. This includes setting up feedback loops to continuously gather data on the effectiveness of the interventions and making necessary adjustments based on empirical evidence and changing conditions.

For the healthcare provider addressing waste management challenges, this might involve adjusting waste management procedures based on ongoing feedback and outcomes. They might realize they are oftentimes reactive in their problem solving and therefore intend to conduct an intentional analysis and internalize and operationalize key insights.

As businesses become more complex and interconnected, the ability to think both systemically and critically isn’t just an advantage; it’s essential to survival and success in an interconnected world.

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Guest Column | May 21, 2024

7 steps to accelerate biopharma manufacturing processes.

By Greg Anthos, Tunnell Consulting

Good manufacturing process capability and control is a critical success factor for emerging biopharma companies facing accelerated timelines and constrained resources. Expedited manufacturing processes, often due to fast clinical timelines, present challenges in achieving optimal performance that is repeatable. This is compounded by limited access to product development expertise compared to larger pharmaceutical counterparts, potentially leading to increased costs and possible supply chain disruptions.

In this article, I delve into strategies for overcoming these challenges, focusing on expedited process characterization and identification of critical material attributes (CMAs), critical process parameters (CPPs), and critical quality attributes (CQAs). Through collaborative problem-solving and optimization, small biopharma firms can enhance manufacturing performance, reduce costs, and improve patient access to innovative therapies.

The Evolution Of Biopharma Manufacturing Challenges

The landscape of biopharma manufacturing has evolved significantly, with advanced therapies and breakthrough approvals reshaping the industry's critical path to drug approval. Traditionally, the clinical program was on the critical path, but now, process development and product manufacturing also can be on the critical path, requiring rapid development.

Moreover, the cost dynamics have shifted dramatically. While solid dosage products once had relatively low manufacturing costs compared to overall product revenue, advanced biologics and gene therapies incur substantial manufacturing expenses. These costs impact patient access and influence payer decisions regarding funding for these therapies. Now more than ever, manufacturing capability can make or break a product's success.

Accelerated approvals further intensify the challenge. The compressed timelines necessitate swift development of complex biological manufacturing processes, a task exacerbated for small biotech firms with limited resources and funding compared to larger pharmaceutical companies.

7 Steps For Addressing Accelerated Manufacturing Challenges

To navigate these challenges effectively, small biopharma companies must adopt strategic approaches to invest time and resources to prioritize process understanding and optimization.

1. Comprehensive Data Collection and Analysis

The foundation of successful manufacturing optimization lies in comprehensive data collection and analysis. Instead of treating each batch as a separate experiment, a systematic approach involves collecting manufacturing process data and corresponding lab test results consistently. This rich data set provides insights into CMAs, CPPs, and CQAs, laying the groundwork for optimizing process control and performance. This data collection and analysis ideally should start early when the product is still being developed in the lab before full-scale manufacturing. Since the batches are so costly and limited in number, all data is valuable to provide insights.

Utilizing a standardized Excel template for data collection and trending can streamline this process, facilitating the identification of trends, process shifts, and critical parameters within the manufacturing process. Visualizing data through graphs and trend analyses aids in identifying patterns and anomalies that impact process performance.

The analytical methods of lab testing will be the eyes of the manufacturing process and need to be in place and qualified to provide reliable lab test results from each batch manufactured before clinical production. These complex lab tests, including bioassay, can be difficult and time-consuming to develop, and focus should be on this task early in the process to ensure success. Once you have a robust set of analytical methods then you can focus on the manufacturing process development with good and reliable information.

3. Collaborative Problem-Solving

Collaboration across multidisciplinary teams is crucial in gaining a deep understanding of the manufacturing process and optimizing performance. By bringing together a team of a product development scientist/process engineer, statistician, data analyst, and project manager, small biopharma firms can leverage diverse expertise to address challenges effectively. It is important to have these different perspectives and expertise to gain manufacturing process understanding and insights.

Direct observation, interviews, and hands-on engagement with manufacturing and lab testing processes provide invaluable insights into process variations, root causes of problems, and conditions for optimal performance. This collaborative approach fosters a culture of continuous improvement and problem-solving, essential for navigating complex manufacturing challenges.

4. Process Characterization

Early in the manufacturing process development, it is a best practice to perform manufacturing process characterization. This process is normally initiated by performing a risk assessment of the process. The risk assessment serves to identify the greatest risks to the manufacturing process not meeting lab release specifications and to develop process mitigation to reduce the risk of out-of-specification results. Next, at small or lab scale, conduct designed experiments to help determine the CMAs and CPPs that control the CQAs. This will be the basis for the manufacturing control strategy and help to develop a robust manufacturing process. When companies skip this step, it can cause significant risk that could impact health authority approval or supply chain disruption. Today’s complex biologics require significant effort and focus on process characterization to be successful.

5. Statistical Analysis and Process Optimization

Statistical analysis plays a pivotal role in optimizing manufacturing processes. Through bivariate and multivariate analyses, significant parameters impacting CQAs are identified, leading to the development of predictive statistical models. These models help determine optimal CPP settings, ranges, and process control strategies, ensuring consistent and robust manufacturing performance. Equally important, these models can define CPP settings that could produce a failing CQA result. As a result, you will know the CPP settings that produce the best results in terms of meeting specifications the highest percentage of time and the best settings for optimal yields.

By validating these models against historical data and executing manufacturing runs at optimal CPP settings, biopharma firms can confirm CQAs and key parameters' performance. Continued process monitoring and trend analysis further enhance process control and identify potential issues before they result in out-of-specification results.

6. Continuous Improvement and Adaptation

The journey of optimizing manufacturing processes is iterative and requires continuous improvement and adaptation. As manufacturing processes mature, the accumulated data, process knowledge, and statistical models serve as valuable assets in addressing potential issues proactively and ensuring ongoing process optimization. Over the life of a product, many things can change that can impact process performance, such as changes in material characteristics or sources, changes in equipment/machinery, changes in personnel, and changes in procedures. It is important and required by the health authority to monitor the manufacturing process for any changes to the validated state or trends. The FDA requires CPV (continuous process validation) to ensure you are maintaining the manufacturing process in a validated state.

7. Leveraging Advanced Technologies

Leveraging advanced technologies such as data analytics, artificial intelligence, and machine learning can enhance process monitoring, predictive modeling, and decision-making in manufacturing optimization. Small biopharma companies can leverage these technologies to drive efficiencies, reduce costs, and improve overall manufacturing performance.

Case Study: Let’s Apply These Steps To A Real-Life Scenario

Consider a small biopharma company with a commercial monoclonal antibody product where fermentation yields for its mammalian cell culture process dropped 18% while demand for the product was rising and additional manufacturing capacity was needed.

The Approach: Using the seven-step approach, the company collected historical data and conducted statistical analysis and used a cross-functional team to observe the process, interviewed those working on the process, and developed a statistical model to explain 70% of the yield variation and key drivers.

The Results: Raw material specifications were established to ensure consistent fermentation yields. The changes implemented returned yields to the normal level and market supply was met. Key outcomes include enhanced process understanding, reduced variability, and increased process capability. These improvements not only ensure compliance with regulatory requirements but also contribute to cost reduction, improved patient access, and sustained innovation in biopharma manufacturing.

Accelerated biopharma manufacturing presents unique challenges that require strategic approaches, collaborative problem-solving, and data-driven decision-making. By prioritizing process optimization, leveraging diverse expertise, adopting statistical analyses, and embracing continuous improvement, small biopharma companies can navigate challenges effectively and achieve their product’s manufacturing goals.

The journey of optimizing manufacturing processes is ongoing, requiring adaptation to evolving industry trends, regulatory requirements, and technological advancements.

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Tuesday, May 15, 2012

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The Six Step Problem Solving Model

What is The Six Step Problem Solving Model?

Step 1: Identify The Problem

Selection of the problem to be analyzed

Clear definition of the problem and establishment of a precise problem statement

Setting a measurable goal for the problem-solving effort

Establishing a process for coordinating with and gaining approval of leadership

Step 2: Analyze The Problem

Listing the steps in the process as it currently exists

Mapping the process

Validation of the map of the process

Identification of potential causes of the problem

Collection and analysis of data related to the problem

Verification or revision of the original problem statement

Identification of root causes of the problem

Collection of additional data if needed to verify root causes

Step 3: Develop The Solutions

Establishment of criteria for selecting a solution

Generation of potential solutions that will address the root causes of the problem

Selection of a solution

Gaining approval and support for the chosen solution

Planning the solution

Step 4: Implement A Solution

Implementation of the chosen solution on a trial or pilot basis

If the Problem Solving Process is being used as a standalone, continue to Step 5

Step 5: Evaluate The Results

Analysis of the data on the solution

Achievement of the desired results?

Step 6: Standardize The Solution (and Capitalize on New Opportunities)

Identification of Systemic Changes and Training Needs for Full Implementation

Adoption of the Solution

Planning Ongoing Monitoring of the Solution

Continuing to Look for Incremental Improvements to Refine the Solution

Looking for Another Improvement Opportunity

Marty Hoffman

Rolestorming a Unique Brainstorming Technique

Six Steps to Develop an Effective Problem-Solving Process

Here are six steps to an effective problem-solving process:

Case study 1:

Case study 2:

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Mastering the Six-Step Problem Solving Model – A Comprehensive Guide for Success

Step 1: Identify and define the problem

Step 2: Analyze the problem

Step 3: Generate potential solutions

Step 4: Select the best solution

Step 5: Implement the chosen solution

Step 6: Evaluate the results and make adjustments

Related articles:

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Daniel Croft

Table of Contents

The Nature of Problems

The Problem-Solving Process

Step 1: Identifying the Problem

Step 2: Defining the Problem

Step 3: Analyzing the Problem

Step 4: Generating Solutions

Step 5: Evaluating and Selecting Solutions

Step 6: Implementing the Solution

Step 7: Reviewing and Reflecting

Tools and Techniques for Effective Problem Solving

Brainstorming

SWOT Analysis (Strengths, Weaknesses, Opportunities, Threats)

Root Cause Analysis

Developing Problem-Solving Skills

Q: What are the key steps in the problem-solving process?

Q: How can brainstorming be effectively used in problem-solving?

Q: What is SWOT Analysis and how does it aid in problem-solving?

Q: Why is it important to understand the nature of a problem before solving it?