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problem-solving

Definition of problem-solving

Examples of problem-solving in a sentence.

These examples are programmatically compiled from various online sources to illustrate current usage of the word 'problem-solving.' Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors. Send us feedback about these examples.

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“Problem-solving.” Merriam-Webster.com Dictionary , Merriam-Webster, https://www.merriam-webster.com/dictionary/problem-solving. Accessed 24 Nov. 2023.

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What Are Problem-Solving Skills?

Definition & Examples of Problem-Solving Skills

• Problem-solving skills help you determine why an issue is happening and how to resolve that issue.

Learn more about problem-solving skills and how they work.

Problem-solving skills help you solve issues quickly and effectively. It's one of the  key skills that employers  seek in job applicants, as employees with these skills tend to be self-reliant. Problem-solving skills require quickly identifying the underlying issue and implementing a solution.

Problem-solving is considered a  soft skill  (a personal strength) rather than a hard skill that's learned through education or training. You can improve your problem-solving skills by familiarizing yourself with common issues in your industry and learning from more experienced employees.

How Problem-Solving Skills Work

Problem-solving starts with identifying the issue. For example, a teacher might need to figure out how to improve student performance on a writing proficiency test. To do that, the teacher will review the writing tests looking for areas of improvement. They might see that students can construct simple sentences, but they're struggling with writing paragraphs and organizing those paragraphs into an essay.

To solve the problem, the teacher would work with students on how and when to write compound sentences, how to write paragraphs, and ways to organize an essay.

Theresa Chiechi / The Balance

There are five steps typically used in problem-solving.

1. Analyze Contributing Factors

To solve a problem, you must find out what caused it. This requires you to gather and evaluate data, isolate possible contributing circumstances, and pinpoint what needs to be addressed for a resolution.

To do this, you'll use skills like :

• Data gathering
• Data analysis
• Fact-finding
• Historical analysis

2. Generate Interventions

Once you’ve determined the cause, brainstorm possible solutions. Sometimes this involves teamwork since two (or more) minds are often better than one. A single strategy is rarely the obvious route to solving a complex problem; devising a set of alternatives helps you cover your bases and reduces your risk of exposure should the first strategy you implement fail.

This involves skills like :

• Brainstorming
• Creative thinking
• Forecasting
• Project design
• Project planning

3. Evaluate Solutions

Depending on the nature of the problem and your chain of command, evaluating best solutions may be performed by assigned teams, team leads, or forwarded to corporate decision-makers. Whoever makes the decision must evaluate potential costs, required resources, and possible barriers to successful solution implementation.

This requires several skills, including:

• Corroboration
• Test development
• Prioritizing

4. Implement a Plan

Once a course of action has been decided, it must be implemented along with benchmarks that can quickly and accurately determine whether it’s working. Plan implementation also involves letting personnel know about changes in standard operating procedures.

This requires skills like:

• Project management
• Project implementation
• Collaboration
• Time management
• Benchmark development

5. Assess the Solution's Effectiveness

Once a solution is implemented, the best problem-solvers have systems in place to evaluate if and how quickly it's working. This way, they know as soon as possible whether the issue has been resolved or whether they’ll have to change their response to the problem mid-stream.

This requires:

• Communication
• Customer feedback
• Follow-through
• Troubleshooting

Here's an example of showing your problem-solving skills in a cover letter.

When I was first hired as a paralegal, I inherited a backlog of 25 sets of medical records that needed to be summarized, each of which was hundreds of pages long. At the same time, I had to help prepare for three major cases, and there weren’t enough hours in the day. After I explained the problem to my supervisor, she agreed to pay me to come in on Saturday mornings to focus on the backlog. I was able to eliminate the backlog in a month.

Here's another example of how to show your problem-solving skills in a cover letter:

When I joined the team at Great Graphics as Artistic Director, the designers had become uninspired because of a former director who attempted to micro-manage every step in the design process. I used weekly round-table discussions to solicit creative input and ensured that each designer was given full autonomy to do their best work. I also introduced monthly team-based competitions that helped build morale, spark new ideas, and improve collaboration.

Highlighting Problem-Solving Skills

• Since this is a skill that's important to most employers, put them front and center on your resume, cover letter, and in interviews.

If you're not sure what to include, look to previous roles—whether in academic, work, or volunteer settings—for examples of challenges you met and problems you solved. Highlight relevant examples in your  cover letter and use bullet points in your resume to show how you solved a problem.

During interviews, be ready to describe situations you've encountered in previous roles, the processes you followed to address problems, the skills you applied, and the results of your actions. Potential employers are eager to hear a  coherent narrative of the ways you've used problem-solving skills .

Interviewers may pose hypothetical problems for you to solve. Base your answers on the five steps and refer to similar problems you've resolved, if possible. Here are tips for answering problem-solving interview questions , with examples of the best answers.

Key Takeaways

• It's one of the key skills that employers seek in job applicants.
• Problem-solving starts with identifying the issue, coming up with solutions, implementing those solutions, and evaluating their effectiveness. 

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Overview of the Problem-Solving Mental Process

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

Rachel Goldman, PhD FTOS, is a licensed psychologist, clinical assistant professor, speaker, wellness expert specializing in eating behaviors, stress management, and health behavior change.

• Identify the Problem
• Define the Problem
• Form a Strategy
• Organize Information
• Allocate Resources
• Monitor Progress
• Evaluate the Results

Frequently Asked Questions

Problem-solving is a mental process that involves discovering, analyzing, and solving problems. The ultimate goal of problem-solving is to overcome obstacles and find a solution that best resolves the issue.

The best strategy for solving a problem depends largely on the unique situation. In some cases, people are better off learning everything they can about the issue and then using factual knowledge to come up with a solution. In other instances, creativity and insight are the best options.

It is not necessary to follow problem-solving steps sequentially, It is common to skip steps or even go back through steps multiple times until the desired solution is reached.

In order to correctly solve a problem, it is often important to follow a series of steps. Researchers sometimes refer to this as the problem-solving cycle. While this cycle is portrayed sequentially, people rarely follow a rigid series of steps to find a solution.

The following steps include developing strategies and organizing knowledge.

1. Identifying the Problem

While it may seem like an obvious step, identifying the problem is not always as simple as it sounds. In some cases, people might mistakenly identify the wrong source of a problem, which will make attempts to solve it inefficient or even useless.

Some strategies that you might use to figure out the source of a problem include :

• Asking questions about the problem
• Breaking the problem down into smaller pieces
• Looking at the problem from different perspectives
• Conducting research to figure out what relationships exist between different variables

2. Defining the Problem

After the problem has been identified, it is important to fully define the problem so that it can be solved. You can define a problem by operationally defining each aspect of the problem and setting goals for what aspects of the problem you will address

At this point, you should focus on figuring out which aspects of the problems are facts and which are opinions. State the problem clearly and identify the scope of the solution.

3. Forming a Strategy

After the problem has been identified, it is time to start brainstorming potential solutions. This step usually involves generating as many ideas as possible without judging their quality. Once several possibilities have been generated, they can be evaluated and narrowed down.

The next step is to develop a strategy to solve the problem. The approach used will vary depending upon the situation and the individual's unique preferences. Common problem-solving strategies include heuristics and algorithms.

• Heuristics are mental shortcuts that are often based on solutions that have worked in the past. They can work well if the problem is similar to something you have encountered before and are often the best choice if you need a fast solution.
• Algorithms are step-by-step strategies that are guaranteed to produce a correct result. While this approach is great for accuracy, it can also consume time and resources.

Heuristics are often best used when time is of the essence, while algorithms are a better choice when a decision needs to be as accurate as possible.

4. Organizing Information

Before coming up with a solution, you need to first organize the available information. What do you know about the problem? What do you not know? The more information that is available the better prepared you will be to come up with an accurate solution.

When approaching a problem, it is important to make sure that you have all the data you need. Making a decision without adequate information can lead to biased or inaccurate results.

5. Allocating Resources

Of course, we don't always have unlimited money, time, and other resources to solve a problem. Before you begin to solve a problem, you need to determine how high priority it is.

If it is an important problem, it is probably worth allocating more resources to solving it. If, however, it is a fairly unimportant problem, then you do not want to spend too much of your available resources on coming up with a solution.

At this stage, it is important to consider all of the factors that might affect the problem at hand. This includes looking at the available resources, deadlines that need to be met, and any possible risks involved in each solution. After careful evaluation, a decision can be made about which solution to pursue.

6. Monitoring Progress

After selecting a problem-solving strategy, it is time to put the plan into action and see if it works. This step might involve trying out different solutions to see which one is the most effective.

It is also important to monitor the situation after implementing a solution to ensure that the problem has been solved and that no new problems have arisen as a result of the proposed solution.

Effective problem-solvers tend to monitor their progress as they work towards a solution. If they are not making good progress toward reaching their goal, they will reevaluate their approach or look for new strategies .

7. Evaluating the Results

After a solution has been reached, it is important to evaluate the results to determine if it is the best possible solution to the problem. This evaluation might be immediate, such as checking the results of a math problem to ensure the answer is correct, or it can be delayed, such as evaluating the success of a therapy program after several months of treatment.

Once a problem has been solved, it is important to take some time to reflect on the process that was used and evaluate the results. This will help you to improve your problem-solving skills and become more efficient at solving future problems.

A Word From Verywell​

It is important to remember that there are many different problem-solving processes with different steps, and this is just one example. Problem-solving in real-world situations requires a great deal of resourcefulness, flexibility, resilience, and continuous interaction with the environment.

Get Advice From The Verywell Mind Podcast

Hosted by therapist Amy Morin, LCSW, this episode of The Verywell Mind Podcast shares how you can stop dwelling in a negative mindset.

Follow Now : Apple Podcasts / Spotify / Google Podcasts

You can become a better problem solving by:

• Practicing brainstorming and coming up with multiple potential solutions to problems
• Being open-minded and considering all possible options before making a decision
• Breaking down problems into smaller, more manageable pieces
• Asking for help when needed
• Researching different problem-solving techniques and trying out new ones
• Learning from mistakes and using them as opportunities to grow

It's important to communicate openly and honestly with your partner about what's going on. Try to see things from their perspective as well as your own. Work together to find a resolution that works for both of you. Be willing to compromise and accept that there may not be a perfect solution.

Take breaks if things are getting too heated, and come back to the problem when you feel calm and collected. Don't try to fix every problem on your own—consider asking a therapist or counselor for help and insight.

If you've tried everything and there doesn't seem to be a way to fix the problem, you may have to learn to accept it. This can be difficult, but try to focus on the positive aspects of your life and remember that every situation is temporary. Don't dwell on what's going wrong—instead, think about what's going right. Find support by talking to friends or family. Seek professional help if you're having trouble coping.

Davidson JE, Sternberg RJ, editors.  The Psychology of Problem Solving .  Cambridge University Press; 2003. doi:10.1017/CBO9780511615771

Sarathy V. Real world problem-solving .  Front Hum Neurosci . 2018;12:261. Published 2018 Jun 26. doi:10.3389/fnhum.2018.00261

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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48 Problem Solving

Department of Psychological and Brain Sciences, University of California, Santa Barbara

• Published: 03 June 2013
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Problem solving refers to cognitive processing directed at achieving a goal when the problem solver does not initially know a solution method. A problem exists when someone has a goal but does not know how to achieve it. Problems can be classified as routine or nonroutine, and as well defined or ill defined. The major cognitive processes in problem solving are representing, planning, executing, and monitoring. The major kinds of knowledge required for problem solving are facts, concepts, procedures, strategies, and beliefs. Classic theoretical approaches to the study of problem solving are associationism, Gestalt, and information processing. Current issues and suggested future issues include decision making, intelligence and creativity, teaching of thinking skills, expert problem solving, analogical reasoning, mathematical and scientific thinking, everyday thinking, and the cognitive neuroscience of problem solving. Common themes concern the domain specificity of problem solving and a focus on problem solving in authentic contexts.

The study of problem solving begins with defining problem solving, problem, and problem types. This introduction to problem solving is rounded out with an examination of cognitive processes in problem solving, the role of knowledge in problem solving, and historical approaches to the study of problem solving.

Definition of Problem Solving

Problem solving refers to cognitive processing directed at achieving a goal for which the problem solver does not initially know a solution method. This definition consists of four major elements (Mayer, 1992 ; Mayer & Wittrock, 2006 ):

Cognitive —Problem solving occurs within the problem solver’s cognitive system and can only be inferred indirectly from the problem solver’s behavior (including biological changes, introspections, and actions during problem solving). Process —Problem solving involves mental computations in which some operation is applied to a mental representation, sometimes resulting in the creation of a new mental representation. Directed —Problem solving is aimed at achieving a goal. Personal —Problem solving depends on the existing knowledge of the problem solver so that what is a problem for one problem solver may not be a problem for someone who already knows a solution method.

The definition is broad enough to include a wide array of cognitive activities such as deciding which apartment to rent, figuring out how to use a cell phone interface, playing a game of chess, making a medical diagnosis, finding the answer to an arithmetic word problem, or writing a chapter for a handbook. Problem solving is pervasive in human life and is crucial for human survival. Although this chapter focuses on problem solving in humans, problem solving also occurs in nonhuman animals and in intelligent machines.

How is problem solving related to other forms of high-level cognition processing, such as thinking and reasoning? Thinking refers to cognitive processing in individuals but includes both directed thinking (which corresponds to the definition of problem solving) and undirected thinking such as daydreaming (which does not correspond to the definition of problem solving). Thus, problem solving is a type of thinking (i.e., directed thinking).

Reasoning refers to problem solving within specific classes of problems, such as deductive reasoning or inductive reasoning. In deductive reasoning, the reasoner is given premises and must derive a conclusion by applying the rules of logic. For example, given that “A is greater than B” and “B is greater than C,” a reasoner can conclude that “A is greater than C.” In inductive reasoning, the reasoner is given (or has experienced) a collection of examples or instances and must infer a rule. For example, given that X, C, and V are in the “yes” group and x, c, and v are in the “no” group, the reasoning may conclude that B is in “yes” group because it is in uppercase format. Thus, reasoning is a type of problem solving.

Definition of Problem

A problem occurs when someone has a goal but does not know to achieve it. This definition is consistent with how the Gestalt psychologist Karl Duncker ( 1945 , p. 1) defined a problem in his classic monograph, On Problem Solving : “A problem arises when a living creature has a goal but does not know how this goal is to be reached.” However, today researchers recognize that the definition should be extended to include problem solving by intelligent machines. This definition can be clarified using an information processing approach by noting that a problem occurs when a situation is in the given state, the problem solver wants the situation to be in the goal state, and there is no obvious way to move from the given state to the goal state (Newell & Simon, 1972 ). Accordingly, the three main elements in describing a problem are the given state (i.e., the current state of the situation), the goal state (i.e., the desired state of the situation), and the set of allowable operators (i.e., the actions the problem solver is allowed to take). The definition of “problem” is broad enough to include the situation confronting a physician who wishes to make a diagnosis on the basis of preliminary tests and a patient examination, as well as a beginning physics student trying to solve a complex physics problem.

Types of Problems

It is customary in the problem-solving literature to make a distinction between routine and nonroutine problems. Routine problems are problems that are so familiar to the problem solver that the problem solver knows a solution method. For example, for most adults, “What is 365 divided by 12?” is a routine problem because they already know the procedure for long division. Nonroutine problems are so unfamiliar to the problem solver that the problem solver does not know a solution method. For example, figuring out the best way to set up a funding campaign for a nonprofit charity is a nonroutine problem for most volunteers. Technically, routine problems do not meet the definition of problem because the problem solver has a goal but knows how to achieve it. Much research on problem solving has focused on routine problems, although most interesting problems in life are nonroutine.

Another customary distinction is between well-defined and ill-defined problems. Well-defined problems have a clearly specified given state, goal state, and legal operators. Examples include arithmetic computation problems or games such as checkers or tic-tac-toe. Ill-defined problems have a poorly specified given state, goal state, or legal operators, or a combination of poorly defined features. Examples include solving the problem of global warming or finding a life partner. Although, ill-defined problems are more challenging, much research in problem solving has focused on well-defined problems.

Cognitive Processes in Problem Solving

The process of problem solving can be broken down into two main phases: problem representation , in which the problem solver builds a mental representation of the problem situation, and problem solution , in which the problem solver works to produce a solution. The major subprocess in problem representation is representing , which involves building a situation model —that is, a mental representation of the situation described in the problem. The major subprocesses in problem solution are planning , which involves devising a plan for how to solve the problem; executing , which involves carrying out the plan; and monitoring , which involves evaluating and adjusting one’s problem solving.

For example, given an arithmetic word problem such as “Alice has three marbles. Sarah has two more marbles than Alice. How many marbles does Sarah have?” the process of representing involves building a situation model in which Alice has a set of marbles, there is set of marbles for the difference between the two girls, and Sarah has a set of marbles that consists of Alice’s marbles and the difference set. In the planning process, the problem solver sets a goal of adding 3 and 2. In the executing process, the problem solver carries out the computation, yielding an answer of 5. In the monitoring process, the problem solver looks over what was done and concludes that 5 is a reasonable answer. In most complex problem-solving episodes, the four cognitive processes may not occur in linear order, but rather may interact with one another. Although some research focuses mainly on the execution process, problem solvers may tend to have more difficulty with the processes of representing, planning, and monitoring.

Knowledge for Problem Solving

An important theme in problem-solving research is that problem-solving proficiency on any task depends on the learner’s knowledge (Anderson et al., 2001 ; Mayer, 1992 ). Five kinds of knowledge are as follows:

Facts —factual knowledge about the characteristics of elements in the world, such as “Sacramento is the capital of California” Concepts —conceptual knowledge, including categories, schemas, or models, such as knowing the difference between plants and animals or knowing how a battery works Procedures —procedural knowledge of step-by-step processes, such as how to carry out long-division computations Strategies —strategic knowledge of general methods such as breaking a problem into parts or thinking of a related problem Beliefs —attitudinal knowledge about how one’s cognitive processing works such as thinking, “I’m good at this”

Although some research focuses mainly on the role of facts and procedures in problem solving, complex problem solving also depends on the problem solver’s concepts, strategies, and beliefs (Mayer, 1992 ).

Historical Approaches to Problem Solving

Psychological research on problem solving began in the early 1900s, as an outgrowth of mental philosophy (Humphrey, 1963 ; Mandler & Mandler, 1964 ). Throughout the 20th century four theoretical approaches developed: early conceptions, associationism, Gestalt psychology, and information processing.

Early Conceptions

The start of psychology as a science can be set at 1879—the year Wilhelm Wundt opened the first world’s psychology laboratory in Leipzig, Germany, and sought to train the world’s first cohort of experimental psychologists. Instead of relying solely on philosophical speculations about how the human mind works, Wundt sought to apply the methods of experimental science to issues addressed in mental philosophy. His theoretical approach became structuralism —the analysis of consciousness into its basic elements.

Wundt’s main contribution to the study of problem solving, however, was to call for its banishment. According to Wundt, complex cognitive processing was too complicated to be studied by experimental methods, so “nothing can be discovered in such experiments” (Wundt, 1911/1973 ). Despite his admonishments, however, a group of his former students began studying thinking mainly in Wurzburg, Germany. Using the method of introspection, subjects were asked to describe their thought process as they solved word association problems, such as finding the superordinate of “newspaper” (e.g., an answer is “publication”). Although the Wurzburg group—as they came to be called—did not produce a new theoretical approach, they found empirical evidence that challenged some of the key assumptions of mental philosophy. For example, Aristotle had proclaimed that all thinking involves mental imagery, but the Wurzburg group was able to find empirical evidence for imageless thought .

Associationism

The first major theoretical approach to take hold in the scientific study of problem solving was associationism —the idea that the cognitive representations in the mind consist of ideas and links between them and that cognitive processing in the mind involves following a chain of associations from one idea to the next (Mandler & Mandler, 1964 ; Mayer, 1992 ). For example, in a classic study, E. L. Thorndike ( 1911 ) placed a hungry cat in what he called a puzzle box—a wooden crate in which pulling a loop of string that hung from overhead would open a trap door to allow the cat to escape to a bowl of food outside the crate. Thorndike placed the cat in the puzzle box once a day for several weeks. On the first day, the cat engaged in many extraneous behaviors such as pouncing against the wall, pushing its paws through the slats, and meowing, but on successive days the number of extraneous behaviors tended to decrease. Overall, the time required to get out of the puzzle box decreased over the course of the experiment, indicating the cat was learning how to escape.

Thorndike’s explanation for how the cat learned to solve the puzzle box problem is based on an associationist view: The cat begins with a habit family hierarchy —a set of potential responses (e.g., pouncing, thrusting, meowing, etc.) all associated with the same stimulus (i.e., being hungry and confined) and ordered in terms of strength of association. When placed in the puzzle box, the cat executes its strongest response (e.g., perhaps pouncing against the wall), but when it fails, the strength of the association is weakened, and so on for each unsuccessful action. Eventually, the cat gets down to what was initially a weak response—waving its paw in the air—but when that response leads to accidentally pulling the string and getting out, it is strengthened. Over the course of many trials, the ineffective responses become weak and the successful response becomes strong. Thorndike refers to this process as the law of effect : Responses that lead to dissatisfaction become less associated with the situation and responses that lead to satisfaction become more associated with the situation. According to Thorndike’s associationist view, solving a problem is simply a matter of trial and error and accidental success. A major challenge to assocationist theory concerns the nature of transfer—that is, where does a problem solver find a creative solution that has never been performed before? Associationist conceptions of cognition can be seen in current research, including neural networks, connectionist models, and parallel distributed processing models (Rogers & McClelland, 2004 ).

Gestalt Psychology

The Gestalt approach to problem solving developed in the 1930s and 1940s as a counterbalance to the associationist approach. According to the Gestalt approach, cognitive representations consist of coherent structures (rather than individual associations) and the cognitive process of problem solving involves building a coherent structure (rather than strengthening and weakening of associations). For example, in a classic study, Kohler ( 1925 ) placed a hungry ape in a play yard that contained several empty shipping crates and a banana attached overhead but out of reach. Based on observing the ape in this situation, Kohler noted that the ape did not randomly try responses until one worked—as suggested by Thorndike’s associationist view. Instead, the ape stood under the banana, looked up at it, looked at the crates, and then in a flash of insight stacked the crates under the bananas as a ladder, and walked up the steps in order to reach the banana.

According to Kohler, the ape experienced a sudden visual reorganization in which the elements in the situation fit together in a way to solve the problem; that is, the crates could become a ladder that reduces the distance to the banana. Kohler referred to the underlying mechanism as insight —literally seeing into the structure of the situation. A major challenge of Gestalt theory is its lack of precision; for example, naming a process (i.e., insight) is not the same as explaining how it works. Gestalt conceptions can be seen in modern research on mental models and schemas (Gentner & Stevens, 1983 ).

Information Processing

The information processing approach to problem solving developed in the 1960s and 1970s and was based on the influence of the computer metaphor—the idea that humans are processors of information (Mayer, 2009 ). According to the information processing approach, problem solving involves a series of mental computations—each of which consists of applying a process to a mental representation (such as comparing two elements to determine whether they differ).

In their classic book, Human Problem Solving , Newell and Simon ( 1972 ) proposed that problem solving involved a problem space and search heuristics . A problem space is a mental representation of the initial state of the problem, the goal state of the problem, and all possible intervening states (based on applying allowable operators). Search heuristics are strategies for moving through the problem space from the given to the goal state. Newell and Simon focused on means-ends analysis , in which the problem solver continually sets goals and finds moves to accomplish goals.

Newell and Simon used computer simulation as a research method to test their conception of human problem solving. First, they asked human problem solvers to think aloud as they solved various problems such as logic problems, chess, and cryptarithmetic problems. Then, based on an information processing analysis, Newell and Simon created computer programs that solved these problems. In comparing the solution behavior of humans and computers, they found high similarity, suggesting that the computer programs were solving problems using the same thought processes as humans.

An important advantage of the information processing approach is that problem solving can be described with great clarity—as a computer program. An important limitation of the information processing approach is that it is most useful for describing problem solving for well-defined problems rather than ill-defined problems. The information processing conception of cognition lives on as a keystone of today’s cognitive science (Mayer, 2009 ).

Classic Issues in Problem Solving

Three classic issues in research on problem solving concern the nature of transfer (suggested by the associationist approach), the nature of insight (suggested by the Gestalt approach), and the role of problem-solving heuristics (suggested by the information processing approach).

Transfer refers to the effects of prior learning on new learning (or new problem solving). Positive transfer occurs when learning A helps someone learn B. Negative transfer occurs when learning A hinders someone from learning B. Neutral transfer occurs when learning A has no effect on learning B. Positive transfer is a central goal of education, but research shows that people often do not transfer what they learned to solving problems in new contexts (Mayer, 1992 ; Singley & Anderson, 1989 ).

Three conceptions of the mechanisms underlying transfer are specific transfer , general transfer , and specific transfer of general principles . Specific transfer refers to the idea that learning A will help someone learn B only if A and B have specific elements in common. For example, learning Spanish may help someone learn Latin because some of the vocabulary words are similar and the verb conjugation rules are similar. General transfer refers to the idea that learning A can help someone learn B even they have nothing specifically in common but A helps improve the learner’s mind in general. For example, learning Latin may help people learn “proper habits of mind” so they are better able to learn completely unrelated subjects as well. Specific transfer of general principles is the idea that learning A will help someone learn B if the same general principle or solution method is required for both even if the specific elements are different.

In a classic study, Thorndike and Woodworth ( 1901 ) found that students who learned Latin did not subsequently learn bookkeeping any better than students who had not learned Latin. They interpreted this finding as evidence for specific transfer—learning A did not transfer to learning B because A and B did not have specific elements in common. Modern research on problem-solving transfer continues to show that people often do not demonstrate general transfer (Mayer, 1992 ). However, it is possible to teach people a general strategy for solving a problem, so that when they see a new problem in a different context they are able to apply the strategy to the new problem (Judd, 1908 ; Mayer, 2008 )—so there is also research support for the idea of specific transfer of general principles.

Insight refers to a change in a problem solver’s mind from not knowing how to solve a problem to knowing how to solve it (Mayer, 1995 ; Metcalfe & Wiebe, 1987 ). In short, where does the idea for a creative solution come from? A central goal of problem-solving research is to determine the mechanisms underlying insight.

The search for insight has led to five major (but not mutually exclusive) explanatory mechanisms—insight as completing a schema, insight as suddenly reorganizing visual information, insight as reformulation of a problem, insight as removing mental blocks, and insight as finding a problem analog (Mayer, 1995 ). Completing a schema is exemplified in a study by Selz (Fridja & de Groot, 1982 ), in which people were asked to think aloud as they solved word association problems such as “What is the superordinate for newspaper?” To solve the problem, people sometimes thought of a coordinate, such as “magazine,” and then searched for a superordinate category that subsumed both terms, such as “publication.” According to Selz, finding a solution involved building a schema that consisted of a superordinate and two subordinate categories.

Reorganizing visual information is reflected in Kohler’s ( 1925 ) study described in a previous section in which a hungry ape figured out how to stack boxes as a ladder to reach a banana hanging above. According to Kohler, the ape looked around the yard and found the solution in a flash of insight by mentally seeing how the parts could be rearranged to accomplish the goal.

Reformulating a problem is reflected in a classic study by Duncker ( 1945 ) in which people are asked to think aloud as they solve the tumor problem—how can you destroy a tumor in a patient without destroying surrounding healthy tissue by using rays that at sufficient intensity will destroy any tissue in their path? In analyzing the thinking-aloud protocols—that is, transcripts of what the problem solvers said—Duncker concluded that people reformulated the goal in various ways (e.g., avoid contact with healthy tissue, immunize healthy tissue, have ray be weak in healthy tissue) until they hit upon a productive formulation that led to the solution (i.e., concentrating many weak rays on the tumor).

Removing mental blocks is reflected in classic studies by Duncker ( 1945 ) in which solving a problem involved thinking of a novel use for an object, and by Luchins ( 1942 ) in which solving a problem involved not using a procedure that had worked well on previous problems. Finding a problem analog is reflected in classic research by Wertheimer ( 1959 ) in which learning to find the area of a parallelogram is supported by the insight that one could cut off the triangle on one side and place it on the other side to form a rectangle—so a parallelogram is really a rectangle in disguise. The search for insight along each of these five lines continues in current problem-solving research.

Heuristics are problem-solving strategies, that is, general approaches to how to solve problems. Newell and Simon ( 1972 ) suggested three general problem-solving heuristics for moving from a given state to a goal state: random trial and error , hill climbing , and means-ends analysis . Random trial and error involves randomly selecting a legal move and applying it to create a new problem state, and repeating that process until the goal state is reached. Random trial and error may work for simple problems but is not efficient for complex ones. Hill climbing involves selecting the legal move that moves the problem solver closer to the goal state. Hill climbing will not work for problems in which the problem solver must take a move that temporarily moves away from the goal as is required in many problems.

Means-ends analysis involves creating goals and seeking moves that can accomplish the goal. If a goal cannot be directly accomplished, a subgoal is created to remove one or more obstacles. Newell and Simon ( 1972 ) successfully used means-ends analysis as the search heuristic in a computer program aimed at general problem solving, that is, solving a diverse collection of problems. However, people may also use specific heuristics that are designed to work for specific problem-solving situations (Gigerenzer, Todd, & ABC Research Group, 1999 ; Kahneman & Tversky, 1984 ).

Current and Future Issues in Problem Solving

Eight current issues in problem solving involve decision making, intelligence and creativity, teaching of thinking skills, expert problem solving, analogical reasoning, mathematical and scientific problem solving, everyday thinking, and the cognitive neuroscience of problem solving.

Decision Making

Decision making refers to the cognitive processing involved in choosing between two or more alternatives (Baron, 2000 ; Markman & Medin, 2002 ). For example, a decision-making task may involve choosing between getting $240 for sure or having a 25% change of getting $1000. According to economic theories such as expected value theory, people should chose the second option, which is worth $250 (i.e., .25 x $1000) rather than the first option, which is worth $240 (1.00 x $240), but psychological research shows that most people prefer the first option (Kahneman & Tversky, 1984 ).

Research on decision making has generated three classes of theories (Markman & Medin, 2002 ): descriptive theories, such as prospect theory (Kahneman & Tversky), which are based on the ideas that people prefer to overweight the cost of a loss and tend to overestimate small probabilities; heuristic theories, which are based on the idea that people use a collection of short-cut strategies such as the availability heuristic (Gigerenzer et al., 1999 ; Kahneman & Tversky, 2000 ); and constructive theories, such as mental accounting (Kahneman & Tversky, 2000 ), in which people build a narrative to justify their choices to themselves. Future research is needed to examine decision making in more realistic settings.

Intelligence and Creativity

Although researchers do not have complete consensus on the definition of intelligence (Sternberg, 1990 ), it is reasonable to view intelligence as the ability to learn or adapt to new situations. Fluid intelligence refers to the potential to solve problems without any relevant knowledge, whereas crystallized intelligence refers to the potential to solve problems based on relevant prior knowledge (Sternberg & Gregorenko, 2003 ). As people gain more experience in a field, their problem-solving performance depends more on crystallized intelligence (i.e., domain knowledge) than on fluid intelligence (i.e., general ability) (Sternberg & Gregorenko, 2003 ). The ability to monitor and manage one’s cognitive processing during problem solving—which can be called metacognition —is an important aspect of intelligence (Sternberg, 1990 ). Research is needed to pinpoint the knowledge that is needed to support intelligent performance on problem-solving tasks.

Creativity refers to the ability to generate ideas that are original (i.e., other people do not think of the same idea) and functional (i.e., the idea works; Sternberg, 1999 ). Creativity is often measured using tests of divergent thinking —that is, generating as many solutions as possible for a problem (Guilford, 1967 ). For example, the uses test asks people to list as many uses as they can think of for a brick. Creativity is different from intelligence, and it is at the heart of creative problem solving—generating a novel solution to a problem that the problem solver has never seen before. An important research question concerns whether creative problem solving depends on specific knowledge or creativity ability in general.

Teaching of Thinking Skills

How can people learn to be better problem solvers? Mayer ( 2008 ) proposes four questions concerning teaching of thinking skills:

What to teach —Successful programs attempt to teach small component skills (such as how to generate and evaluate hypotheses) rather than improve the mind as a single monolithic skill (Covington, Crutchfield, Davies, & Olton, 1974 ). How to teach —Successful programs focus on modeling the process of problem solving rather than solely reinforcing the product of problem solving (Bloom & Broder, 1950 ). Where to teach —Successful programs teach problem-solving skills within the specific context they will be used rather than within a general course on how to solve problems (Nickerson, 1999 ). When to teach —Successful programs teaching higher order skills early rather than waiting until lower order skills are completely mastered (Tharp & Gallimore, 1988 ).

Overall, research on teaching of thinking skills points to the domain specificity of problem solving; that is, successful problem solving depends on the problem solver having domain knowledge that is relevant to the problem-solving task.

Expert Problem Solving

Research on expertise is concerned with differences between how experts and novices solve problems (Ericsson, Feltovich, & Hoffman, 2006 ). Expertise can be defined in terms of time (e.g., 10 years of concentrated experience in a field), performance (e.g., earning a perfect score on an assessment), or recognition (e.g., receiving a Nobel Prize or becoming Grand Master in chess). For example, in classic research conducted in the 1940s, de Groot ( 1965 ) found that chess experts did not have better general memory than chess novices, but they did have better domain-specific memory for the arrangement of chess pieces on the board. Chase and Simon ( 1973 ) replicated this result in a better controlled experiment. An explanation is that experts have developed schemas that allow them to chunk collections of pieces into a single configuration.

In another landmark study, Larkin et al. ( 1980 ) compared how experts (e.g., physics professors) and novices (e.g., first-year physics students) solved textbook physics problems about motion. Experts tended to work forward from the given information to the goal, whereas novices tended to work backward from the goal to the givens using a means-ends analysis strategy. Experts tended to store their knowledge in an integrated way, whereas novices tended to store their knowledge in isolated fragments. In another study, Chi, Feltovich, and Glaser ( 1981 ) found that experts tended to focus on the underlying physics concepts (such as conservation of energy), whereas novices tended to focus on the surface features of the problem (such as inclined planes or springs). Overall, research on expertise is useful in pinpointing what experts know that is different from what novices know. An important theme is that experts rely on domain-specific knowledge rather than solely general cognitive ability.

Analogical Reasoning

Analogical reasoning occurs when people solve one problem by using their knowledge about another problem (Holyoak, 2005 ). For example, suppose a problem solver learns how to solve a problem in one context using one solution method and then is given a problem in another context that requires the same solution method. In this case, the problem solver must recognize that the new problem has structural similarity to the old problem (i.e., it may be solved by the same method), even though they do not have surface similarity (i.e., the cover stories are different). Three steps in analogical reasoning are recognizing —seeing that a new problem is similar to a previously solved problem; abstracting —finding the general method used to solve the old problem; and mapping —using that general method to solve the new problem.

Research on analogical reasoning shows that people often do not recognize that a new problem can be solved by the same method as a previously solved problem (Holyoak, 2005 ). However, research also shows that successful analogical transfer to a new problem is more likely when the problem solver has experience with two old problems that have the same underlying structural features (i.e., they are solved by the same principle) but different surface features (i.e., they have different cover stories) (Holyoak, 2005 ). This finding is consistent with the idea of specific transfer of general principles as described in the section on “Transfer.”

Mathematical and Scientific Problem Solving

Research on mathematical problem solving suggests that five kinds of knowledge are needed to solve arithmetic word problems (Mayer, 2008 ):

Factual knowledge —knowledge about the characteristics of problem elements, such as knowing that there are 100 cents in a dollar Schematic knowledge —knowledge of problem types, such as being able to recognize time-rate-distance problems Strategic knowledge —knowledge of general methods, such as how to break a problem into parts Procedural knowledge —knowledge of processes, such as how to carry our arithmetic operations Attitudinal knowledge —beliefs about one’s mathematical problem-solving ability, such as thinking, “I am good at this”

People generally possess adequate procedural knowledge but may have difficulty in solving mathematics problems because they lack factual, schematic, strategic, or attitudinal knowledge (Mayer, 2008 ). Research is needed to pinpoint the role of domain knowledge in mathematical problem solving.

Research on scientific problem solving shows that people harbor misconceptions, such as believing that a force is needed to keep an object in motion (McCloskey, 1983 ). Learning to solve science problems involves conceptual change, in which the problem solver comes to recognize that previous conceptions are wrong (Mayer, 2008 ). Students can be taught to engage in scientific reasoning such as hypothesis testing through direct instruction in how to control for variables (Chen & Klahr, 1999 ). A central theme of research on scientific problem solving concerns the role of domain knowledge.

Everyday Thinking

Everyday thinking refers to problem solving in the context of one’s life outside of school. For example, children who are street vendors tend to use different procedures for solving arithmetic problems when they are working on the streets than when they are in school (Nunes, Schlieman, & Carraher, 1993 ). This line of research highlights the role of situated cognition —the idea that thinking always is shaped by the physical and social context in which it occurs (Robbins & Aydede, 2009 ). Research is needed to determine how people solve problems in authentic contexts.

Cognitive Neuroscience of Problem Solving

The cognitive neuroscience of problem solving is concerned with the brain activity that occurs during problem solving. For example, using fMRI brain imaging methodology, Goel ( 2005 ) found that people used the language areas of the brain to solve logical reasoning problems presented in sentences (e.g., “All dogs are pets…”) and used the spatial areas of the brain to solve logical reasoning problems presented in abstract letters (e.g., “All D are P…”). Cognitive neuroscience holds the potential to make unique contributions to the study of problem solving.

Problem solving has always been a topic at the fringe of cognitive psychology—too complicated to study intensively but too important to completely ignore. Problem solving—especially in realistic environments—is messy in comparison to studying elementary processes in cognition. The field remains fragmented in the sense that topics such as decision making, reasoning, intelligence, expertise, mathematical problem solving, everyday thinking, and the like are considered to be separate topics, each with its own separate literature. Yet some recurring themes are the role of domain-specific knowledge in problem solving and the advantages of studying problem solving in authentic contexts.

Future Directions

Some important issues for future research include the three classic issues examined in this chapter—the nature of problem-solving transfer (i.e., How are people able to use what they know about previous problem solving to help them in new problem solving?), the nature of insight (e.g., What is the mechanism by which a creative solution is constructed?), and heuristics (e.g., What are some teachable strategies for problem solving?). In addition, future research in problem solving should continue to pinpoint the role of domain-specific knowledge in problem solving, the nature of cognitive ability in problem solving, how to help people develop proficiency in solving problems, and how to provide aids for problem solving.

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Further Reading

Baron, J. ( 2008 ). Thinking and deciding (4th ed). New York: Cambridge University Press.

Duncker, K. ( 1945 ). On problem solving. Psychological Monographs , 58(3) (Whole No. 270).

Holyoak, K. J. , & Morrison, R. G. ( 2005 ). The Cambridge handbook of thinking and reasoning . New York: Cambridge University Press.

Mayer, R. E. , & Wittrock, M. C. ( 2006 ). Problem solving. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (2nd ed., pp. 287–304). Mahwah, NJ: Erlbaum.

Sternberg, R. J. , & Ben-Zeev, T. ( 2001 ). Complex cognition: The psychology of human thought . New York: Oxford University Press.

Weisberg, R. W. ( 2006 ). Creativity . New York: Wiley.

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Table of Contents

26 January 2021

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Do your children have trouble solving their Maths homework?

Or, do they struggle to maintain friendships at school?

If your answer is ‘Yes,’ the issue might be related to your child’s problem-solving abilities. Whether your child often forgets his/her lunch at school or is lagging in his/her class, good problem-solving skills can be a major tool to help them manage their lives better.

Children need to learn to solve problems on their own. Whether it is about dealing with academic difficulties or peer issues when children are equipped with necessary problem-solving skills they gain confidence and learn to make healthy decisions for themselves. So let us look at what is problem-solving, its benefits, and how to encourage your child to inculcate problem-solving abilities

Problem-solving skills can be defined as the ability to identify a problem, determine its cause, and figure out all possible solutions to solve the problem.

• Trigonometric Problems

Problem Solving Skills: Meaning, Examples & Techniques

What is problem-solving, then? Problem-solving is the ability to use appropriate methods to tackle unexpected challenges in an organized manner. The ability to solve problems is considered a soft skill, meaning that it’s more of a personality trait than a skill you’ve learned at school, on-the-job, or through technical training. While your natural ability to tackle problems and solve them is something you were born with or began to hone early on, it doesn’t mean that you can’t work on it. This is a skill that can be cultivated and nurtured so you can become better at dealing with problems over time.

Problem Solving Skills: Meaning, Examples & Techniques are mentioned below in the Downloadable PDF. 

Benefits of learning problem-solving skills  

Promotes creative thinking and thinking outside the box.

Improves decision-making abilities.

Builds solid communication skills.

Develop the ability to learn from mistakes and avoid the repetition of mistakes.

Problem Solving as an ability is a life skill desired by everyone, as it is essential to manage our day-to-day lives. Whether you are at home, school, or work, life throws us curve balls at every single step of the way. And how do we resolve those? You guessed it right – Problem Solving.

Strengthening and nurturing problem-solving skills helps children cope with challenges and obstacles as they come. They can face and resolve a wide variety of problems efficiently and effectively without having a breakdown. Nurturing good problem-solving skills develop your child’s independence, allowing them to grow into confident, responsible adults. 

Children enjoy experimenting with a wide variety of situations as they develop their problem-solving skills through trial and error. A child’s action of sprinkling and pouring sand on their hands while playing in the ground, then finally mixing it all to eliminate the stickiness shows how fast their little minds work.

Sometimes children become frustrated when an idea doesn't work according to their expectations, they may even walk away from their project. They often become focused on one particular solution, which may or may not work.

However, they can be encouraged to try other methods of problem-solving when given support by an adult. The adult may give hints or ask questions in ways that help the kids to formulate their solutions. 

Encouraging Problem-Solving Skills in Kids

Practice problem solving through games.

Exposing kids to various riddles, mysteries, and treasure hunts, puzzles, and games not only enhances their critical thinking but is also an excellent bonding experience to create a lifetime of memories.

Create a safe environment for brainstorming

Welcome, all the ideas your child brings up to you. Children learn how to work together to solve a problem collectively when given the freedom and flexibility to come up with their solutions. This bout of encouragement instills in them the confidence to face obstacles bravely.

Invite children to expand their Learning capabilities

 Whenever children experiment with an idea or problem, they test out their solutions in different settings. They apply their teachings to new situations and effectively receive and communicate ideas. They learn the ability to think abstractly and can learn to tackle any obstacle whether it is finding solutions to a math problem or navigating social interactions.

Problem-solving is the act of finding answers and solutions to complicated problems. 

Developing problem-solving skills from an early age helps kids to navigate their life problems, whether academic or social more effectively and avoid mental and emotional turmoil.

Children learn to develop a future-oriented approach and view problems as challenges that can be easily overcome by exploring solutions. 

About Cuemath

Cuemath, a student-friendly mathematics and coding platform, conducts regular  Online Classes  for academics and skill-development, and their Mental Math App, on both  iOS  and  Android , is a one-stop solution for kids to develop multiple skills. Understand the Cuemath Fee structure and sign up for a free trial.

Frequently Asked Questions (FAQs)

How do you teach problem-solving skills.

Model a useful problem-solving method. Problem solving can be difficult and sometimes tedious. ... 1. Teach within a specific context. ... 2. Help students understand the problem. ... 3. Take enough time. ... 4. Ask questions and make suggestions. ... 5. Link errors to misconceptions.

What makes a good problem solver?

Excellent problem solvers build networks and know how to collaborate with other people and teams. They are skilled in bringing people together and sharing knowledge and information. A key skill for great problem solvers is that they are trusted by others.

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What Are Problem-Solving Skills? (Definition, Examples, And How To List On A Resume)

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Summary. Problem-solving skills include analysis, creativity, prioritization, organization, and troubleshooting. To solve a problem, you need to use a variety of skills based on the needs of the situation.

Most jobs essentially boil down to identifying and solving problems consistently and effectively. That’s why employers value problem-solving skills in job candidates for just about every role.

We’ll cover problem-solving methods, ways to improve your problem-solving skills, and examples of showcasing your problem-solving skills during your job search .

Key Takeaways:

If you can show off your problem-solving skills on your resume , in your cover letter , and during a job interview, you’ll be one step closer to landing a job.

Companies rely on employees who can handle unexpected challenges, identify persistent issues, and offer workable solutions in a positive way.

It is important to improve problem solving skill because this is a skill that can be cultivated and nurtured so you can become better at dealing with problems over time.

Types of Problem-Solving Skills

How to improve your problem-solving skills, example answers to problem-solving interview questions, how to show off problem-solving skills on a resume, example resume and cover letter with problem-solving skills, more about problem-solving skills, problem solving skills faqs.

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Problem-solving skills are skills that help you identify and solve problems effectively and efficiently . Your ability to solve problems is one of the main ways that hiring managers and recruiters assess candidates, as those with excellent problem-solving skills are more likely to autonomously carry out their responsibilities.

A true problem solver can look at a situation, find the cause of the problem (or causes, because there are often many issues at play), and then come up with a reasonable solution that effectively fixes the problem or at least remedies most of it.

The ability to solve problems is considered a soft skill , meaning that it’s more of a personality trait than a skill you’ve learned at school, on the job, or through technical training.

That being said, your proficiency with various hard skills will have a direct bearing on your ability to solve problems. For example, it doesn’t matter if you’re a great problem-solver; if you have no experience with astrophysics, you probably won’t be hired as a space station technician .

Problem-solving is considered a skill on its own, but it’s supported by many other skills that can help you be a better problem solver. These skills fall into a few different categories of problem-solving skills.

Problem recognition and analysis. The first step is to recognize that there is a problem and discover what it is or what the root cause of it is.

You can’t begin to solve a problem unless you’re aware of it. Sometimes you’ll see the problem yourself and other times you’ll be told about the problem. Both methods of discovery are very important, but they can require some different skills. The following can be an important part of the process:

Active listening

Data analysis

Historical analysis

Communication

Create possible solutions. You know what the problem is, and you might even know the why of it, but then what? Your next step is the come up with some solutions.

Most of the time, the first solution you come up with won’t be the right one. Don’t fall victim to knee-jerk reactions; try some of the following methods to give you solution options.

Brainstorming

Forecasting

Decision-making

Topic knowledge/understanding

Process flow

Evaluation of solution options. Now that you have a lot of solution options, it’s time to weed through them and start casting some aside. There might be some ridiculous ones, bad ones, and ones you know could never be implemented. Throw them away and focus on the potentially winning ideas.

This step is probably the one where a true, natural problem solver will shine. They intuitively can put together mental scenarios and try out solutions to see their plusses and minuses. If you’re still working on your skill set — try listing the pros and cons on a sheet of paper.

Prioritizing

Evaluating and weighing

Solution implementation. This is your “take action” step. Once you’ve decided which way to go, it’s time to head down that path and see if you were right. This step takes a lot of people and management skills to make it work for you.

Dependability

Teambuilding

Troubleshooting

Follow-Through

Believability

Trustworthiness

Project management

Evaluation of the solution. Was it a good solution? Did your plan work or did it fail miserably? Sometimes the evaluation step takes a lot of work and review to accurately determine effectiveness. The following skills might be essential for a thorough evaluation.

Customer service

Feedback responses

Flexibility

You now have a ton of skills in front of you. Some of them you have naturally and some — not so much. If you want to solve a problem, and you want to be known for doing that well and consistently, then it’s time to sharpen those skills.

Develop industry knowledge. Whether it’s broad-based industry knowledge, on-the-job training , or very specific knowledge about a small sector — knowing all that you can and feeling very confident in your knowledge goes a long way to learning how to solve problems.

Be a part of a solution. Step up and become involved in the problem-solving process. Don’t lead — but follow. Watch an expert solve the problem and, if you pay attention, you’ll learn how to solve a problem, too. Pay attention to the steps and the skills that a person uses.

Practice solving problems. Do some role-playing with a mentor , a professor , co-workers, other students — just start throwing problems out there and coming up with solutions and then detail how those solutions may play out.

Go a step further, find some real-world problems and create your solutions, then find out what they did to solve the problem in actuality.

Identify your weaknesses. If you could easily point out a few of your weaknesses in the list of skills above, then those are the areas you need to focus on improving. How you do it is incredibly varied, so find a method that works for you.

Solve some problems — for real. If the opportunity arises, step in and use your problem-solving skills. You’ll never really know how good (or bad) you are at it until you fail.

That’s right, failing will teach you so much more than succeeding will. You’ll learn how to go back and readdress the problem, find out where you went wrong, learn more from listening even better. Failure will be your best teacher ; it might not make you feel good, but it’ll make you a better problem-solver in the long run.

Once you’ve impressed a hiring manager with top-notch problem-solving skills on your resume and cover letter , you’ll need to continue selling yourself as a problem-solver in the job interview.

There are three main ways that employers can assess your problem-solving skills during an interview:

By asking questions that relate to your past experiences solving problems

Posing hypothetical problems for you to solve

By administering problem-solving tests and exercises

The third method varies wildly depending on what job you’re applying for, so we won’t attempt to cover all the possible problem-solving tests and exercises that may be a part of your application process.

Luckily, interview questions focused on problem-solving are pretty well-known, and most can be answered using the STAR method . STAR stands for situation, task, action, result, and it’s a great way to organize your answers to behavioral interview questions .

Let’s take a look at how to answer some common interview questions built to assess your problem-solving capabilities:

At my current job as an operations analyst at XYZ Inc., my boss set a quarterly goal to cut contractor spending by 25% while maintaining the same level of production and moving more processes in-house. It turned out that achieving this goal required hiring an additional 6 full-time employees, which got stalled due to the pandemic. I suggested that we widen our net and hire remote employees after our initial applicant pool had no solid candidates. I ran the analysis on overhead costs and found that if even 4 of the 6 employees were remote, we’d save 16% annually compared to the contractors’ rates. In the end, all 6 employees we hired were fully remote, and we cut costs by 26% while production rose by a modest amount.

I try to step back and gather research as my first step. For instance, I had a client who needed a graphic designer to work with Crello, which I had never seen before, let alone used. After getting the project details straight, I began meticulously studying the program the YouTube tutorials, and the quick course Crello provides. I also reached out to coworkers who had worked on projects for this same client in the past. Once I felt comfortable with the software, I started work immediately. It was a slower process because I had to be more methodical in my approach, but by putting in some extra hours, I turned in the project ahead of schedule. The client was thrilled with my work and was shocked to hear me joke afterward that it was my first time using Crello.

As a digital marketer , website traffic and conversion rates are my ultimate metrics. However, I also track less visible metrics that can illuminate the story behind the results. For instance, using Google Analytics, I found that 78% of our referral traffic was coming from one affiliate, but that these referrals were only accounting for 5% of our conversions. Another affiliate, who only accounted for about 10% of our referral traffic, was responsible for upwards of 30% of our conversions. I investigated further and found that the second, more effective affiliate was essentially qualifying our leads for us before sending them our way, which made it easier for us to close. I figured out exactly how they were sending us better customers, and reached out to the first, more prolific but less effective affiliate with my understanding of the results. They were able to change their pages that were referring us traffic, and our conversions from that source tripled in just a month. It showed me the importance of digging below the “big picture” metrics to see the mechanics of how revenue was really being generated through digital marketing.

You can bring up your problem-solving skills in your resume summary statement , in your work experience , and under your education section , if you’re a recent graduate. The key is to include items on your resume that speak direclty to your ability to solve problems and generate results.

If you can, quantify your problem-solving accomplishments on your your resume . Hiring managers and recruiters are always more impressed with results that include numbers because they provide much-needed context.

This sample resume for a Customer Service Representative will give you an idea of how you can work problem solving into your resume.

Michelle Beattle 111 Millennial Parkway Chicago, IL 60007 (555) 987-6543 [email protected] Professional Summary Qualified Customer Services Representative with 3 years in a high-pressure customer service environment. Professional, personable, and a true problem solver. Work History ABC Store — Customer Service Representative 01/2015 — 12/2017 Managed in-person and phone relations with customers coming in to pick up purchases, return purchased products, helped find and order items not on store shelves, and explained details and care of merchandise. Became a key player in the customer service department and was promoted to team lead. XYZ Store — Customer Service Representative/Night Manager 01/2018 — 03/2020, released due to Covid-19 layoffs Worked as the night manager of the customer service department and filled in daytime hours when needed. Streamlined a process of moving customers to the right department through an app to ease the burden on the phone lines and reduce customer wait time by 50%. Was working on additional wait time problems when the Covid-19 pandemic caused our stores to close permanently. Education Chicago Tech 2014-2016 Earned an Associate’s Degree in Principles of Customer Care Skills Strong customer service skills Excellent customer complaint resolution Stock record management Order fulfillment New product information Cash register skills and proficiency Leader in problem solving initiatives

You can see how the resume gives you a chance to point out your problem-solving skills and to show where you used them a few times. Your cover letter is your chance to introduce yourself and list a few things that make you stand out from the crowd.

Michelle Beattle 111 Millennial Parkway Chicago, IL 60007 (555) 987-6543 [email protected] Dear Mary McDonald, I am writing in response to your ad on Zippia for a Customer Service Representative . Thank you for taking the time to consider me for this position. Many people believe that a job in customer service is simply listening to people complain all day. I see the job as much more than that. It’s an opportunity to help people solve problems, make their experience with your company more enjoyable, and turn them into life-long advocates of your brand. Through my years of experience and my educational background at Chicago Tech, where I earned an Associate’s Degree in the Principles of Customer Care, I have learned that the customers are the lifeline of the business and without good customer service representatives, a business will falter. I see it as my mission to make each and every customer I come in contact with a fan. I have more than five years of experience in the Customer Services industry and had advanced my role at my last job to Night Manager. I am eager to again prove myself as a hard worker, a dedicated people person, and a problem solver that can be relied upon. I have built a professional reputation as an employee that respects all other employees and customers, as a manager who gets the job done and finds solutions when necessary, and a worker who dives in to learn all she can about the business. Most of my customers have been very satisfied with my resolution ideas and have returned to do business with us again. I believe my expertise would make me a great match for LMNO Store. I have enclosed my resume for your review, and I would appreciate having the opportunity to meet with you to further discuss my qualifications. Thank you again for your time and consideration. Sincerely, Michelle Beattle

You’ve no doubt noticed that many of the skills listed in the problem-solving process are repeated. This is because having these abilities or talents is so important to the entire course of getting a problem solved.

In fact, they’re worthy of a little more attention. Many of them are similar, so we’ll pull them together and discuss how they’re important and how they work together.

Communication, active listening, and customer service skills. No matter where you are in the process of problem-solving, you need to be able to show that you’re listening and engaged and really hearing what the problem is or what a solution may be.

Obviously, the other part of this is being able to communicate effectively so people understand what you’re saying without confusion. Rolled into this are customer service skills , which really are all about listening and responding appropriately — it’s the ultimate in interpersonal communications.

Analysis (data and historical), research, and topic knowledge/understanding. This is how you intellectually grasp the issue and approach it. This can come from studying the topic and the process or it can come from knowledge you’ve gained after years in the business. But the best solutions come from people who thoroughly understand the problem.

Creativity, brainstorming, troubleshooting, and flexibility. All of you creative thinkers will like this area because it’s when your brain is at its best.

Coming up with ideas, collaborating with others, leaping over hurdles, and then being able to change courses immediately, if need be, are all essential. If you’re not creative by nature, then having a team of diverse thinkers can help you in this area.

Dependability, believability, trustworthiness, and follow-through. Think about it, these are all traits a person needs to have to make change happen and to make you comfortable taking that next step with them. Someone who is shifty and shady and never follows through, well, you’re simply not going to do what they ask, are you?

Leadership, teambuilding, decision-making, and project management. These are the skills that someone who is in charge is brimming with. These are the leaders you enjoy working for because you know they’re doing what they can to keep everything in working order. These skills can be learned but they’re often innate.

Prioritizing, prediction, forecasting, evaluating and weighing, and process flow. If you love flow charts, data analysis, prediction modeling, and all of that part of the equation, then you might have some great problem-solving abilities.

These are all great skills because they can help you weed out bad ideas, see flaws, and save massive amounts of time in trial and error.

What is a good example of problem-solving skills?

Good examples of porblem-solving skills include research, analysis, creativity, communciation, and decision-making. Each of these skills build off one another to contribute to the problem solving process. Research and analysis allow you to identify a problem.

Creativity and analysis help you consider different solutions. Meanwhile, communication and decision-making are key to working with others to solve a problem on a large scale.

What are 3 key attributes of a good problem solver?

3 key attributes of a good problem solver are persistence, intellegince, and empathy. Persistence is crucial to remain motivated to work through challenges. Inellegince is needed to make smart, informed choices. Empathy is crucial to maintain positive relationships with others as well as yourself.

What can I say instead of problem-solving skills?

Instead of saying problem-solving skills, you can say the following:

Critical thinker

Solutions-oriented

Engineering

Using different words is helpful, especially when writing your resume and cover letter.

What is problem-solving in the workplace?

Problem-solving in the workplace is the ability to work through any sort of challenge, conflict, or unexpected situation and still achieve business goals. Though it varies by profession, roblem-solving in the workplace is very important for almost any job, because probelms are inevitable. You need to have the appropriate level of problem-solving skills if you want to succeed in your career, whatever it may be.

Department of Labor – Problem Solving and Critical Thinking

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Kristin Kizer is an award-winning writer, television and documentary producer, and content specialist who has worked on a wide variety of written, broadcast, and electronic publications. A former writer/producer for The Discovery Channel, she is now a freelance writer and delighted to be sharing her talents and time with the wonderful Zippia audience.

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Everybody can benefit from having good problem solving skills as we all encounter problems on a daily basis. Some of these problems are obviously more severe or complex than others.

It would be wonderful to have the ability to solve all problems efficiently and in a timely fashion without difficulty, unfortunately though there is no one way in which all problems can be solved.

You will discover, as you read through our pages on problem solving, that the subject is complex.

However well prepared we are for problem solving, there is always an element of the unknown. Although planning and structuring will help make the problem solving process more likely to be successful, good judgement and an element of good luck will ultimately determine whether problem solving was a success.

Interpersonal relationships fail and businesses fail because of poor problem solving.

This is often due to either problems not being recognised or being recognised but not being dealt with appropriately.

Problem solving skills are highly sought after by employers as many companies rely on their employees to identify and solve problems.

A lot of the work in problem solving involves understanding what the underlying issues of the problem really are - not the symptoms. Dealing with a customer complaint may be seen as a problem that needs to be solved, and it's almost certainly a good idea to do so. The employee dealing with the complaint should be asking what has caused the customer to complain in the first place, if the cause of the complaint can be eliminated then the problem is solved.

In order to be effective at problem solving you are likely to need some other key skills, which include:

Creativity. Problems are usually solved either intuitively or systematically. Intuition is used when no new knowledge is needed - you know enough to be able to make a quick decision and solve the problem, or you use common sense or experience to solve the problem. More complex problems or problems that you have not experienced before will likely require a more systematic and logical approach to solve, and for these you will need to use creative thinking. See our page on Creative Thinking for more information.

Researching Skills. Defining and solving problems often requires you to do some research: this may be a simple Google search or a more rigorous research project. See our Research Methods section for ideas on how to conduct effective research.

Team Working. Many problems are best defined and solved with the input of other people. Team working may sound like a 'work thing' but it is just as important at home and school as well as in the workplace. See our Team-Working page for more.

Emotional Intelligence. It is worth considering the impact that a problem and/or its solution has on you and other people. Emotional intelligence, the ability to recognise the emotions of yourself and others, will help guide you to an appropriate solution. See our Emotional Intelligence pages for more.

Risk Management. Solving a problem involves a certain amount of risk - this risk needs to be weighed up against not solving the problem. You may find our Risk Management page useful.

Decision Making . Problem solving and decision making are closely related skills, and making a decision is an important part of the problem solving process as you will often be faced with various options and alternatives. See Decision Making for more.

The measure of success is not whether you have a tough problem to deal with, but whether it is the same problem you had last year.

John Foster Dulles, Former US Secretary of State.

What is a Problem?

The Concise Oxford Dictionary (1995) defines a problem as:

“ A doubtful or difficult matter requiring a solution ”

“ Something hard to understand or accomplish or deal with.”

It is worth also considering our own view of what a problem is.

We are constantly exposed to opportunities in life, at work, at school and at home. However many opportunities are missed or not taken full advantage of. Often we are unsure how to take advantage of an opportunity and create barriers - reasons why we can't take advantage. These barriers can turn a potentially positive situation into a negative one, a problem.

Are we missing the 'big problem'? It is human nature to notice and focus on small, easy to solve problems but much harder to work on the big problems that may be causing some of the smaller ones.

It's useful to consider the following questions when faced with a problem.

Is the problem real or perceived?

Is this problem really an opportunity?

Does the problem need solving?

All problems have two features in common: goals and barriers.

Problems involve setting out to achieve some objective or desired state of affairs and can include avoiding a situation or event.

Goals can be anything that you wish to achieve, or where you want to be. If you are hungry then your goal is probably to eat something. If you are the head of an organisation (CEO), then your main goal may be to maximise profits and this main goal may need to be split into numerous sub-goals in order to fulfil the ultimate aim of increasing profits.

If there were no barriers in the way of achieving a goal, then there would be no problem. Problem solving involves overcoming the barriers or obstacles that prevent the immediate achievement of goals.

Following our examples above, if you feel hungry then your goal is to eat. A barrier to this may be that you have no food available - so you take a trip to the supermarket and buy some food, removing the barrier and thus solving the problem. Of course for the CEO wanting to increase profits there may be many more barriers preventing the goal from being reached. The CEO needs to attempt to recognise these barriers and remove them or find other ways to achieve the goals of the organisation.

Our problem solving pages provide a simple and structured approach to problem solving.

The approach referred to is generally designed for problem solving in an organisation or group context, but can also be easily adapted to work at an individual level at home or in education.

Trying to solve a complex problem alone however can be a mistake. The old adage " A problem shared is a problem halved " is sound advice.

Talking to others about problems is not only therapeutic but can help you see things from a different point of view, opening up more potential solutions.

Stages of Problem Solving

Effective problem solving usually involves working through a number of steps or stages, such as those outlined below.

Problem Identification:

This stage involves: detecting and recognising that there is a problem; identifying the nature of the problem; defining the problem.

The first phase of problem solving may sound obvious but often requires more thought and analysis. Identifying a problem can be a difficult task in itself. Is there a problem at all? What is the nature of the problem, are there in fact numerous problems? How can the problem be best defined? By spending some time defining the problem you will not only understand it more clearly yourself but be able to communicate its nature to others, which leads to the second phase.

Structuring the Problem:

This stage involves: a period of observation, careful inspection, fact-finding and developing a clear picture of the problem.

Following on from problem identification, structuring the problem is all about gaining more information about the problem and increasing understanding. This phase is all about fact finding and analysis, building a more comprehensive picture of both the goal(s) and the barrier(s). This stage may not be necessary for very simple problems but is essential for problems of a more complex nature.

Looking for Possible Solutions:

During this stage you will generate a range of possible courses of action, but with little attempt to evaluate them at this stage.

From the information gathered in the first two phases of the problem solving framework it is now time to start thinking about possible solutions to the identified problem. In a group situation this stage is often carried out as a brain-storming session, letting each person in the group express their views on possible solutions (or part solutions). In organisations different people will have different expertise in different areas and it is useful, therefore, to hear the views of each concerned party.

Making a Decision:

This stage involves careful analysis of the different possible courses of action and then selecting the best solution for implementation.

This is perhaps the most complex part of the problem solving process. Following on from the previous step it is now time to look at each potential solution and carefully analyse it. Some solutions may not be possible, due to other problems like time constraints or budgets. It is important at this stage to also consider what might happen if nothing was done to solve the problem - sometimes trying to solve a problem that leads to many more problems requires some very creative thinking and innovative ideas.

Finally, make a decision on which course of action to take - decision making is an important skill in itself and we recommend that you see our pages on decision making .

Implementation:

This stage involves accepting and carrying out the chosen course of action.

Implementation means acting on the chosen solution. During implementation more problems may arise especially if identification or structuring of the original problem was not carried out fully.

Monitoring/Seeking Feedback:

The last stage is about reviewing the outcomes of problem solving over a period of time, including seeking feedback as to the success of the outcomes of the chosen solution.

The final stage of problem solving is concerned with checking that the process was successful. This can be achieved by monitoring and gaining feedback from people affected by any changes that occurred. It is good practice to keep a record of outcomes and any additional problems that occurred.

Continue to: Identifying and Structuring Problems Social Problem Solving

See also: Project Management Risk Management Effective Decision Making

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Home » Job Tips » Career Advice » Your Complete Guide to Effective Problem Solving Skills [Tips & Techniques]

Your Complete Guide to Effective Problem Solving Skills [Tips & Techniques]

Having effective problem solving skills can be a big boon for your professional life. Most employers look for candidates who are capable of solving problems the right way with less supervision.

Possessing the capacity to confidently and quickly tackle complex issues requires having several key abilities at your disposal. With study and practice, you can learn how best to approach difficult problems in order to solve them successfully.

In this comprehensive guide, we will explore the importance of problem-solving skills, effective problem-solving strategies, and ways to develop and refine your problem-solving techniques.

Table of Contents

What are Problem-Solving Skills?

Problem-solving skills are techniques that enable you to solve any problem effectively. With good problem-solving skills, individuals can adequately determine the source of problems and proffer solutions. This empowers an individual to approach issues from different viable perspectives.

Effective problem solvers are critical thinkers, perceptive, and knowledgeable, which enables them to break down challenging circumstances into manageable components. To excel in your career you need to hone, build, and develop adequate problem-solving skills. You can build personal development skills in order to develop competent problem-solving abilities.

Must-Have Problem-Solving Techniques

To be an effective problem solver, you must have other creative and smart abilities, below are a few smart and creative skills you can use when solving a problem:

1. Strong Research Skills

To fully understand a problem and create viable solutions, a problem solver must be able to locate and identify the root cause of a problem. As a problem solver, you might need to conduct research using a lot of problem solving methods. You can start by asking your peers for input and using web resources to conduct thorough research.

2. Analyzing and Evaluation

The ability to analyze and evaluate solutions is a typical example of a problem-solving skill. This skill will allow you to investigate several solutions and select the most suitable one for your problem.

3. Effective Communication and Active Listening

After determining the best solution to the problem, the next step would be to communicate it to the relevant stakeholders and develop a plan of action for implementing the solution. The ability to adequately solve a problem requires strong communication skills.

Possessing strong communication skills implies that one should have clear goals and deadlines for addressing a problem. Communication should also include any effects the solution may have on other parts of the organization or external stakeholders.

4. Reliability

As a problem solver, being reliable and adaptable is a trait prized by employers. Those who have the problem solving ability to identify issues, implement solutions efficiently, and do so in a timely manner are held in high regard. It is paramount for problem-solvers to possess adaptability as well because it assures that tasks will be carried out with accuracy and creativity.

Effective Problem-Solving Steps

The following tips will help you develop effective problem-solving skills that any employer would value.

1. Identification and Definition of Problem

To become an effective problem solver, you must know how to identify and recognize problems. Identifying a problem can be tough. You may find yourself asking questions like, “Is there even an issue here?” and if so, “What is its nature?”

To get the clearest understanding possible of any potential problems, take some time to really define exactly what the problems are. Doing this will not only help you grasp them better but also allow you to explain them accurately when communicating with others.

2. Gather Information and Organise the Problem

Once a problem has been identified and defined, it is ideal to gather more facts and information about the problem to get a better understanding of the problem. Gaining additional knowledge about a problem allows you to come up with various approaches to it as well as potential solutions. It involves observing, analyzing, and structuring the issue or situation at hand. During this phase, it is important to gather as much evidence about the problem and its causes in order to make sound judgments when selecting a course of action.

3. Generate Varieties of Potential Solutions to the Problem

Once you have successfully identified and gathered information on the existing problem, your next course of action will be brainstorming and developing different viable solutions to the problem. It is important to consider the perspectives of other teammates because different people in organizations will have diverse skills and perceptions about a problem and, thus, will have different solutions.

4. Careful Analysis and Taking Decision

Before making decisions, you should analyze all the solutions generated and then select the best course of action. To successfully make the right decision, the complexity of decision-making should be considered. This is because many circumstances can prevent a decision from being successful, even if it is the right one.

Remember that while some solutions might seem appropriate, they may not be appropriate to adopt at the stipulated time frame. This might be due to other variables like a lack of resources, the culture of the organization, a limited time frame, etc.

5. Implementing the Decision

After a thorough analysis has been made, and you have finally made a decision, the next step is to act on the decision you have chosen. It is important to note that more issues could develop during implementation. Especially if the identification or structuring of the original problem wasn’t done thoroughly.

6. Evaluate the Outcomes of the Decision

Verifying that the decision taken was effective is the focus of this phase of problem-solving. Asking those who were impacted by the changes of an outcome and how they felt about it is an effective way to evaluate the outcome of a decision.

Further, keeping track of results and any extra issues that come up is a good way to hone your problem solving skills. To effectively evaluate the outcome of your decision consider answering these questions below:

• Have you achieved the objectives of the decision taken?
• Did any unplanned or unforeseen situation arise in your decision-making process?

7. Improve and Reiterate

To master the art of problem-solving, look for other situations that permit you to use techniques and skills for solving problems. Find more chances to put the skills into action. Also when solving a problem make sure the issue won’t recur and share the lessons learned. This will enhance your problem solving skills. An ideal way to cultivate good problem solving skills is to take on challenging jobs that require cognitive processing such as business marketing or work-from-home jobs in data entry .

How Can I Demonstrate My Problem-Solving Skills?

Employers can learn more about how you might contribute to their team more quickly if you demonstrate your problem-solving abilities in your resume and cover letter.

1. How to Demonstrate Problem Solving Skills on a Resume?

In the ‘Achievements’ section of your resume, it is beneficial to provide concrete examples of how you have successfully solved problems. Emphasize how your knowledge and strategic thinking positively impacted a business situation or project outcome instead of simply saying that you are great at problem-solving.

The ‘Experience’ section allows for more expansion about any relevant projects where your problem-solving abilities were beneficial in completion or success rates. Conversely, if there was an unsuccessful result due to poor decision making then explain what corrective actions were taken as well as lessons learned.

2. How to Demonstrate Problem Solving Skills on Cover Letter?

Your cover letter is an incredible opportunity to expand on your problem solving capabilities. Here, you can give a concise example of when you efficiently handled a difficulty. On the other hand, you might recognize an issue that this potential employer wants to solve and explain how exactly you would address it. For instance, if there’s evidence in a job vacancy concerning improving brand awareness, then identifying ways where you could help promote awareness about the brand through various means will be an advantage for you.

Having problem solving skills is a huge advantage that can be extremely beneficial in both your personal and professional life. Problem-solving gives you the tools to make better decisions, identify solutions for roadblocks, and reach desired goals more easily. To effectively improve your problem solving skills consider taking a course on human resource management .

We hope these tips will help build and improve your problem handling skills, let us know in the comment section the different problem you have solved at your workplace.

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Harshita is an English Literature graduate from the University of Delhi with 3 years of experience in Content Writing and Editing. Dedicated to her craft, she loves creating magic with words. She is a big fan of hoarding cute planners and journals and can be seen watching FRIENDS (almost EVERYTIME) in her spare time. Her meticulous attention to detail makes her stand out from the crowd. A typo epidemic is her worst nightmare!

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How Students Can Rethink Problem Solving

Finding, shaping, and solving problems puts high school students in charge of their learning and bolsters critical-thinking skills.

As an educator for over 20 years, I’ve heard a lot about critical thinking , problem-solving , and inquiry and how they foster student engagement. However, I’ve also seen students draw a blank when they’re given a problem to solve. This happens when the problem is too vast for them to develop a solution or they don’t think the situation is problematic. 

As I’ve tried, failed, and tried again to engage my students in critical thinking, problem-solving, and inquiry, I’ve experienced greater engagement when I allow them to problem-find, problem-shape, and problem-solve. This shift in perspective has helped my students take direct ownership over their learning.

Encourage Students to Find the Problem 

When students ask a question that prompts their curiosity, it motivates them to seek out an answer. This answer often highlights a problem. 

For example, I gave my grade 11 students a list of topics to explore, and they signed up for a topic that they were interested in. From that, they had to develop a research question. This allowed them to narrow the topic down to what they were specifically curious about. 

Developing a research question initiated the research process. Students launched into reading information from reliable sources including Britannica , Newsela , and EBSCOhost . Through the reading process, they were able to access information so that they could attempt to find an answer to their question.

The nature of a good question is that there isn’t an “answer.” Instead, there are a variety of answers. This allowed students to feel safe in sharing their answers because they couldn’t be “wrong.” If they had reliable, peer-reviewed academic research to support their answer, they were “right.”

Shaping a Problem Makes Overcoming It More Feasible 

When students identify a problem, they’re compelled to do something about it; however, if the problem is too large, it can be overwhelming for them. When they’re overwhelmed, they might shut down and stop learning. For that reason, it’s important for them to shape the problem by taking on a piece they can handle.

To help guide students, provide a list of topics and allow them to choose one. In my experience, choosing their own topic prompts students’ curiosity—which drives them to persevere through a challenging task. Additionally, I have students maintain their scope at a school, regional, or national level. Keeping the focus away from an international scope allows them to filter down the number of results when they begin researching. Shaping the problem this way allowed students to address it in a manageable way.

Students Can Problem-Solve with Purpose

Once students identified a slice of a larger problem that they could manage, they started to read and think about it, collaborate together, and figure out how to solve it. To further support them in taking on a manageable piece of the problem, the parameters of the solution were that it had to be something they could implement immediately. For example, raising $3 million to build a shelter for those experiencing homelessness in the community isn’t something that students can do tomorrow. Focusing on a solution that could be implemented immediately made it easier for them to come up with viable options. 

With the problem shaped down to a manageable piece, students were better able to come up with a solution that would have a big impact. This problem-solving process also invites ingenuity and innovation because it allows teens to critically look at their day-to-day lives and experiences to consider what actions they could take to make a difference in the world. It prompts them to look at their world through a different lens.

When the conditions for inquiry are created by allowing students to problem-find, problem-shape and problem-solve, it allows students to do the following:

• Critically examine their world to identify problems that exist
• Feel empowered because they realize that they can be part of a solution
• Innovate by developing new solutions to old problems

Put it All Together to Promote Change

Here are two examples of what my grade 11 students came up with when tasked with examining the national news to problem-find, problem-shape, and problem-solve.

Topic: Indigenous Issues in Canada

Question: How are Indigenous peoples impacted by racism?

Problem-find: The continued racism against Indigenous peoples has led to the families of murdered women not attaining justice, Indigenous peoples not being able to gain employment, and Indigenous communities not being able to access basic necessities like healthcare and clean water.

Problem-shape: A lot of the issues that Indigenous peoples face require government intervention. What can high school teens do to combat these issues?

Problem-solve: Teens need to stop supporting professional sports teams that tokenize Indigenous peoples, and if they see a peer wearing something from such a sports team, we need to educate them about how the team’s logo perpetuates racism.

Topic: People With Disabilities in Canada

Question: What leads students with a hearing impairment to feel excluded?

Problem-find: Students with a hearing impairment struggle to engage with course texts like films and videos.

Problem-shape: A lot of the issues that students with a hearing impairment face in schools require teachers to take action. What can high school teens do to help their hearing-impaired peers feel included?

Problem-solve: When teens share a video on social media, they should turn the closed-captioning on, so that all students can consume the media being shared.

Once my students came up with solutions, they wanted to do something about it and use their voices to engage in global citizenship. This led them to create TikTok and Snapchat videos and Instagram posts that they shared and re-shared among their peer group. 

The learning that students engaged in led to their wanting to teach others—which allowed a greater number of students to learn. This whole process engendered conversations about our world and helped them realize that they aren’t powerless; they can do things to initiate change in areas that they’re interested in and passionate about. It allowed them to use their voices to educate others and promote change.