what is the 4 step problem solving process

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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.

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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."

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

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

What Is Problem Solving?

Definition and importance.

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

Problem-Solving Steps

The problem-solving process typically includes the following steps:

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

Defining the Problem

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

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

Generating Solutions

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

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

Evaluating and Selecting Solutions

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

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

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

Implementing and Monitoring the Solution

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

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

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

Problem-Solving Techniques

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

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

Brainstorming

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

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

When brainstorming, remember to:

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

Root Cause Analysis

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

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

SWOT Analysis

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

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

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

Mind Mapping

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

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

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

Examples of Problem Solving in Various Contexts

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

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

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

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

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

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

Whether we realise it or not, problem solving skills are an important part of our daily lives. From resolving a minor annoyance at home to tackling complex business challenges at work, our ability to solve problems has a significant impact on our success and happiness. However, not everyone is naturally gifted at problem-solving, and even those who are can always improve their skills. In this blog post, we will go over the art of effective problem-solving step by step.

You will learn how to define a problem, gather information, assess alternatives, and implement a solution, all while honing your critical thinking and creative problem-solving skills. Whether you’re a seasoned problem solver or just getting started, this guide will arm you with the knowledge and tools you need to face any challenge with confidence. So let’s get started!

Table of Contents

Problem solving methodologies.

Individuals and organisations can use a variety of problem-solving methodologies to address complex challenges. 8D and A3 problem solving techniques are two popular methodologies in the Lean Six Sigma framework.

Methodology of 8D (Eight Discipline) Problem Solving:

The 8D problem solving methodology is a systematic, team-based approach to problem solving. It is a method that guides a team through eight distinct steps to solve a problem in a systematic and comprehensive manner.

The 8D process consists of the following steps:

• Form a team: Assemble a group of people who have the necessary expertise to work on the problem.
• Define the issue: Clearly identify and define the problem, including the root cause and the customer impact.
• Create a temporary containment plan: Put in place a plan to lessen the impact of the problem until a permanent solution can be found.
• Identify the root cause: To identify the underlying causes of the problem, use root cause analysis techniques such as Fishbone diagrams and Pareto charts.
• Create and test long-term corrective actions: Create and test a long-term solution to eliminate the root cause of the problem.
• Implement and validate the permanent solution: Implement and validate the permanent solution’s effectiveness.
• Prevent recurrence: Put in place measures to keep the problem from recurring.
• Recognize and reward the team: Recognize and reward the team for its efforts.

Download the 8D Problem Solving Template

A3 Problem Solving Method:

The A3 problem solving technique is a visual, team-based problem-solving approach that is frequently used in Lean Six Sigma projects. The A3 report is a one-page document that clearly and concisely outlines the problem, root cause analysis, and proposed solution.

The A3 problem-solving procedure consists of the following steps:

• Determine the issue: Define the issue clearly, including its impact on the customer.
• Perform root cause analysis: Identify the underlying causes of the problem using root cause analysis techniques.
• Create and implement a solution: Create and implement a solution that addresses the problem’s root cause.
• Monitor and improve the solution: Keep an eye on the solution’s effectiveness and make any necessary changes.

Subsequently, in the Lean Six Sigma framework, the 8D and A3 problem solving methodologies are two popular approaches to problem solving. Both methodologies provide a structured, team-based problem-solving approach that guides individuals through a comprehensive and systematic process of identifying, analysing, and resolving problems in an effective and efficient manner.

Step 1 – Define the Problem

The definition of the problem is the first step in effective problem solving. This may appear to be a simple task, but it is actually quite difficult. This is because problems are frequently complex and multi-layered, making it easy to confuse symptoms with the underlying cause. To avoid this pitfall, it is critical to thoroughly understand the problem.

To begin, ask yourself some clarifying questions:

• What exactly is the issue?
• What are the problem’s symptoms or consequences?
• Who or what is impacted by the issue?
• When and where does the issue arise?

Answering these questions will assist you in determining the scope of the problem. However, simply describing the problem is not always sufficient; you must also identify the root cause. The root cause is the underlying cause of the problem and is usually the key to resolving it permanently.

Try asking “why” questions to find the root cause:

• What causes the problem?
• Why does it continue?
• Why does it have the effects that it does?

By repeatedly asking “ why ,” you’ll eventually get to the bottom of the problem. This is an important step in the problem-solving process because it ensures that you’re dealing with the root cause rather than just the symptoms.

Once you have a firm grasp on the issue, it is time to divide it into smaller, more manageable chunks. This makes tackling the problem easier and reduces the risk of becoming overwhelmed. For example, if you’re attempting to solve a complex business problem, you might divide it into smaller components like market research, product development, and sales strategies.

To summarise step 1, defining the problem is an important first step in effective problem-solving. You will be able to identify the root cause and break it down into manageable parts if you take the time to thoroughly understand the problem. This will prepare you for the next step in the problem-solving process, which is gathering information and brainstorming ideas.

Step 2 – Gather Information and Brainstorm Ideas

Gathering information and brainstorming ideas is the next step in effective problem solving. This entails researching the problem and relevant information, collaborating with others, and coming up with a variety of potential solutions. This increases your chances of finding the best solution to the problem.

Begin by researching the problem and relevant information. This could include reading articles, conducting surveys, or consulting with experts. The goal is to collect as much information as possible in order to better understand the problem and possible solutions.

Next, work with others to gather a variety of perspectives. Brainstorming with others can be an excellent way to come up with new and creative ideas. Encourage everyone to share their thoughts and ideas when working in a group, and make an effort to actively listen to what others have to say. Be open to new and unconventional ideas and resist the urge to dismiss them too quickly.

Finally, use brainstorming to generate a wide range of potential solutions. This is the place where you can let your imagination run wild. At this stage, don’t worry about the feasibility or practicality of the solutions; instead, focus on generating as many ideas as possible. Write down everything that comes to mind, no matter how ridiculous or unusual it may appear. This can be done individually or in groups.

Once you’ve compiled a list of potential solutions, it’s time to assess them and select the best one. This is the next step in the problem-solving process, which we’ll go over in greater detail in the following section.

Step 3 – Evaluate Options and Choose the Best Solution

Once you’ve compiled a list of potential solutions, it’s time to assess them and select the best one. This is the third step in effective problem solving, and it entails weighing the advantages and disadvantages of each solution, considering their feasibility and practicability, and selecting the solution that is most likely to solve the problem effectively.

To begin, weigh the advantages and disadvantages of each solution. This will assist you in determining the potential outcomes of each solution and deciding which is the best option. For example, a quick and easy solution may not be the most effective in the long run, whereas a more complex and time-consuming solution may be more effective in solving the problem in the long run.

Consider each solution’s feasibility and practicability. Consider the following:

• Can the solution be implemented within the available resources, time, and budget?
• What are the possible barriers to implementing the solution?
• Is the solution feasible in today’s political, economic, and social environment?

You’ll be able to tell which solutions are likely to succeed and which aren’t by assessing their feasibility and practicability.

Finally, choose the solution that is most likely to effectively solve the problem. This solution should be based on the criteria you’ve established, such as the advantages and disadvantages of each solution, their feasibility and practicability, and your overall goals.

It is critical to remember that there is no one-size-fits-all solution to problems. What is effective for one person or situation may not be effective for another. This is why it is critical to consider a wide range of solutions and evaluate each one based on its ability to effectively solve the problem.

Step 4 – Implement and Monitor the Solution

When you’ve decided on the best solution, it’s time to put it into action. The fourth and final step in effective problem solving is to put the solution into action, monitor its progress, and make any necessary adjustments.

To begin, implement the solution. This may entail delegating tasks, developing a strategy, and allocating resources. Ascertain that everyone involved understands their role and responsibilities in the solution’s implementation.

Next, keep an eye on the solution’s progress. This may entail scheduling regular check-ins, tracking metrics, and soliciting feedback from others. You will be able to identify any potential roadblocks and make any necessary adjustments in a timely manner if you monitor the progress of the solution.

Finally, make any necessary modifications to the solution. This could entail changing the solution, altering the plan of action, or delegating different tasks. Be willing to make changes if they will improve the solution or help it solve the problem more effectively.

It’s important to remember that problem solving is an iterative process, and there may be times when you need to start from scratch. This is especially true if the initial solution does not effectively solve the problem. In these situations, it’s critical to be adaptable and flexible and to keep trying new solutions until you find the one that works best.

To summarise, effective problem solving is a critical skill that can assist individuals and organisations in overcoming challenges and achieving their objectives. Effective problem solving consists of four key steps: defining the problem, generating potential solutions, evaluating alternatives and selecting the best solution, and implementing the solution.

You can increase your chances of success in problem solving by following these steps and considering factors such as the pros and cons of each solution, their feasibility and practicability, and making any necessary adjustments. Furthermore, keep in mind that problem solving is an iterative process, and there may be times when you need to go back to the beginning and restart. Maintain your adaptability and try new solutions until you find the one that works best for you.

• Novick, L.R. and Bassok, M., 2005.  Problem Solving . Cambridge University Press.

Daniel Croft

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

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An Overview of 4-Step Problem Solving

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2.3.1: George Polya's Four Step Problem Solving Process

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Step 1: Understand the Problem

• Do you understand all the words?
• Can you restate the problem in your own words?
• Do you know what is given?
• Do you know what the goal is?
• Is there enough information?
• Is there extraneous information?
• Is this problem similar to another problem you have solved?

Step 2: Devise a Plan: Below are some strategies one might use to solve a problem. Can one (or more) of the following strategies be used? (A strategy is defined as an artful means to an end.)

How to master the seven-step problem-solving process

In this episode of the McKinsey Podcast , Simon London speaks with Charles Conn, CEO of venture-capital firm Oxford Sciences Innovation, and McKinsey senior partner Hugo Sarrazin about the complexities of different problem-solving strategies.

Podcast transcript

Simon London: Hello, and welcome to this episode of the McKinsey Podcast , with me, Simon London. What’s the number-one skill you need to succeed professionally? Salesmanship, perhaps? Or a facility with statistics? Or maybe the ability to communicate crisply and clearly? Many would argue that at the very top of the list comes problem solving: that is, the ability to think through and come up with an optimal course of action to address any complex challenge—in business, in public policy, or indeed in life.

Looked at this way, it’s no surprise that McKinsey takes problem solving very seriously, testing for it during the recruiting process and then honing it, in McKinsey consultants, through immersion in a structured seven-step method. To discuss the art of problem solving, I sat down in California with McKinsey senior partner Hugo Sarrazin and also with Charles Conn. Charles is a former McKinsey partner, entrepreneur, executive, and coauthor of the book Bulletproof Problem Solving: The One Skill That Changes Everything [John Wiley & Sons, 2018].

Charles and Hugo, welcome to the podcast. Thank you for being here.

Hugo Sarrazin: Our pleasure.

Charles Conn: It’s terrific to be here.

Simon London: Problem solving is a really interesting piece of terminology. It could mean so many different things. I have a son who’s a teenage climber. They talk about solving problems. Climbing is problem solving. Charles, when you talk about problem solving, what are you talking about?

Charles Conn: For me, problem solving is the answer to the question “What should I do?” It’s interesting when there’s uncertainty and complexity, and when it’s meaningful because there are consequences. Your son’s climbing is a perfect example. There are consequences, and it’s complicated, and there’s uncertainty—can he make that grab? I think we can apply that same frame almost at any level. You can think about questions like “What town would I like to live in?” or “Should I put solar panels on my roof?”

You might think that’s a funny thing to apply problem solving to, but in my mind it’s not fundamentally different from business problem solving, which answers the question “What should my strategy be?” Or problem solving at the policy level: “How do we combat climate change?” “Should I support the local school bond?” I think these are all part and parcel of the same type of question, “What should I do?”

I’m a big fan of structured problem solving. By following steps, we can more clearly understand what problem it is we’re solving, what are the components of the problem that we’re solving, which components are the most important ones for us to pay attention to, which analytic techniques we should apply to those, and how we can synthesize what we’ve learned back into a compelling story. That’s all it is, at its heart.

I think sometimes when people think about seven steps, they assume that there’s a rigidity to this. That’s not it at all. It’s actually to give you the scope for creativity, which often doesn’t exist when your problem solving is muddled.

Simon London: You were just talking about the seven-step process. That’s what’s written down in the book, but it’s a very McKinsey process as well. Without getting too deep into the weeds, let’s go through the steps, one by one. You were just talking about problem definition as being a particularly important thing to get right first. That’s the first step. Hugo, tell us about that.

Hugo Sarrazin: It is surprising how often people jump past this step and make a bunch of assumptions. The most powerful thing is to step back and ask the basic questions—“What are we trying to solve? What are the constraints that exist? What are the dependencies?” Let’s make those explicit and really push the thinking and defining. At McKinsey, we spend an enormous amount of time in writing that little statement, and the statement, if you’re a logic purist, is great. You debate. “Is it an ‘or’? Is it an ‘and’? What’s the action verb?” Because all these specific words help you get to the heart of what matters.

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Simon London: So this is a concise problem statement.

Hugo Sarrazin: Yeah. It’s not like “Can we grow in Japan?” That’s interesting, but it is “What, specifically, are we trying to uncover in the growth of a product in Japan? Or a segment in Japan? Or a channel in Japan?” When you spend an enormous amount of time, in the first meeting of the different stakeholders, debating this and having different people put forward what they think the problem definition is, you realize that people have completely different views of why they’re here. That, to me, is the most important step.

Charles Conn: I would agree with that. For me, the problem context is critical. When we understand “What are the forces acting upon your decision maker? How quickly is the answer needed? With what precision is the answer needed? Are there areas that are off limits or areas where we would particularly like to find our solution? Is the decision maker open to exploring other areas?” then you not only become more efficient, and move toward what we call the critical path in problem solving, but you also make it so much more likely that you’re not going to waste your time or your decision maker’s time.

How often do especially bright young people run off with half of the idea about what the problem is and start collecting data and start building models—only to discover that they’ve really gone off half-cocked.

Hugo Sarrazin: Yeah.

Charles Conn: And in the wrong direction.

Simon London: OK. So step one—and there is a real art and a structure to it—is define the problem. Step two, Charles?

Charles Conn: My favorite step is step two, which is to use logic trees to disaggregate the problem. Every problem we’re solving has some complexity and some uncertainty in it. The only way that we can really get our team working on the problem is to take the problem apart into logical pieces.

What we find, of course, is that the way to disaggregate the problem often gives you an insight into the answer to the problem quite quickly. I love to do two or three different cuts at it, each one giving a bit of a different insight into what might be going wrong. By doing sensible disaggregations, using logic trees, we can figure out which parts of the problem we should be looking at, and we can assign those different parts to team members.

Simon London: What’s a good example of a logic tree on a sort of ratable problem?

Charles Conn: Maybe the easiest one is the classic profit tree. Almost in every business that I would take a look at, I would start with a profit or return-on-assets tree. In its simplest form, you have the components of revenue, which are price and quantity, and the components of cost, which are cost and quantity. Each of those can be broken out. Cost can be broken into variable cost and fixed cost. The components of price can be broken into what your pricing scheme is. That simple tree often provides insight into what’s going on in a business or what the difference is between that business and the competitors.

If we add the leg, which is “What’s the asset base or investment element?”—so profit divided by assets—then we can ask the question “Is the business using its investments sensibly?” whether that’s in stores or in manufacturing or in transportation assets. I hope we can see just how simple this is, even though we’re describing it in words.

When I went to work with Gordon Moore at the Moore Foundation, the problem that he asked us to look at was “How can we save Pacific salmon?” Now, that sounds like an impossible question, but it was amenable to precisely the same type of disaggregation and allowed us to organize what became a 15-year effort to improve the likelihood of good outcomes for Pacific salmon.

Simon London: Now, is there a danger that your logic tree can be impossibly large? This, I think, brings us onto the third step in the process, which is that you have to prioritize.

Charles Conn: Absolutely. The third step, which we also emphasize, along with good problem definition, is rigorous prioritization—we ask the questions “How important is this lever or this branch of the tree in the overall outcome that we seek to achieve? How much can I move that lever?” Obviously, we try and focus our efforts on ones that have a big impact on the problem and the ones that we have the ability to change. With salmon, ocean conditions turned out to be a big lever, but not one that we could adjust. We focused our attention on fish habitats and fish-harvesting practices, which were big levers that we could affect.

People spend a lot of time arguing about branches that are either not important or that none of us can change. We see it in the public square. When we deal with questions at the policy level—“Should you support the death penalty?” “How do we affect climate change?” “How can we uncover the causes and address homelessness?”—it’s even more important that we’re focusing on levers that are big and movable.

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Simon London: Let’s move swiftly on to step four. You’ve defined your problem, you disaggregate it, you prioritize where you want to analyze—what you want to really look at hard. Then you got to the work plan. Now, what does that mean in practice?

Hugo Sarrazin: Depending on what you’ve prioritized, there are many things you could do. It could be breaking the work among the team members so that people have a clear piece of the work to do. It could be defining the specific analyses that need to get done and executed, and being clear on time lines. There’s always a level-one answer, there’s a level-two answer, there’s a level-three answer. Without being too flippant, I can solve any problem during a good dinner with wine. It won’t have a whole lot of backing.

Simon London: Not going to have a lot of depth to it.

Hugo Sarrazin: No, but it may be useful as a starting point. If the stakes are not that high, that could be OK. If it’s really high stakes, you may need level three and have the whole model validated in three different ways. You need to find a work plan that reflects the level of precision, the time frame you have, and the stakeholders you need to bring along in the exercise.

Charles Conn: I love the way you’ve described that, because, again, some people think of problem solving as a linear thing, but of course what’s critical is that it’s iterative. As you say, you can solve the problem in one day or even one hour.

Charles Conn: We encourage our teams everywhere to do that. We call it the one-day answer or the one-hour answer. In work planning, we’re always iterating. Every time you see a 50-page work plan that stretches out to three months, you know it’s wrong. It will be outmoded very quickly by that learning process that you described. Iterative problem solving is a critical part of this. Sometimes, people think work planning sounds dull, but it isn’t. It’s how we know what’s expected of us and when we need to deliver it and how we’re progressing toward the answer. It’s also the place where we can deal with biases. Bias is a feature of every human decision-making process. If we design our team interactions intelligently, we can avoid the worst sort of biases.

Simon London: Here we’re talking about cognitive biases primarily, right? It’s not that I’m biased against you because of your accent or something. These are the cognitive biases that behavioral sciences have shown we all carry around, things like anchoring, overoptimism—these kinds of things.

Both: Yeah.

Charles Conn: Availability bias is the one that I’m always alert to. You think you’ve seen the problem before, and therefore what’s available is your previous conception of it—and we have to be most careful about that. In any human setting, we also have to be careful about biases that are based on hierarchies, sometimes called sunflower bias. I’m sure, Hugo, with your teams, you make sure that the youngest team members speak first. Not the oldest team members, because it’s easy for people to look at who’s senior and alter their own creative approaches.

Hugo Sarrazin: It’s helpful, at that moment—if someone is asserting a point of view—to ask the question “This was true in what context?” You’re trying to apply something that worked in one context to a different one. That can be deadly if the context has changed, and that’s why organizations struggle to change. You promote all these people because they did something that worked well in the past, and then there’s a disruption in the industry, and they keep doing what got them promoted even though the context has changed.

Simon London: Right. Right.

Hugo Sarrazin: So it’s the same thing in problem solving.

Charles Conn: And it’s why diversity in our teams is so important. It’s one of the best things about the world that we’re in now. We’re likely to have people from different socioeconomic, ethnic, and national backgrounds, each of whom sees problems from a slightly different perspective. It is therefore much more likely that the team will uncover a truly creative and clever approach to problem solving.

Simon London: Let’s move on to step five. You’ve done your work plan. Now you’ve actually got to do the analysis. The thing that strikes me here is that the range of tools that we have at our disposal now, of course, is just huge, particularly with advances in computation, advanced analytics. There’s so many things that you can apply here. Just talk about the analysis stage. How do you pick the right tools?

Charles Conn: For me, the most important thing is that we start with simple heuristics and explanatory statistics before we go off and use the big-gun tools. We need to understand the shape and scope of our problem before we start applying these massive and complex analytical approaches.

Simon London: Would you agree with that?

Hugo Sarrazin: I agree. I think there are so many wonderful heuristics. You need to start there before you go deep into the modeling exercise. There’s an interesting dynamic that’s happening, though. In some cases, for some types of problems, it is even better to set yourself up to maximize your learning. Your problem-solving methodology is test and learn, test and learn, test and learn, and iterate. That is a heuristic in itself, the A/B testing that is used in many parts of the world. So that’s a problem-solving methodology. It’s nothing different. It just uses technology and feedback loops in a fast way. The other one is exploratory data analysis. When you’re dealing with a large-scale problem, and there’s so much data, I can get to the heuristics that Charles was talking about through very clever visualization of data.

You test with your data. You need to set up an environment to do so, but don’t get caught up in neural-network modeling immediately. You’re testing, you’re checking—“Is the data right? Is it sound? Does it make sense?”—before you launch too far.

Simon London: You do hear these ideas—that if you have a big enough data set and enough algorithms, they’re going to find things that you just wouldn’t have spotted, find solutions that maybe you wouldn’t have thought of. Does machine learning sort of revolutionize the problem-solving process? Or are these actually just other tools in the toolbox for structured problem solving?

Charles Conn: It can be revolutionary. There are some areas in which the pattern recognition of large data sets and good algorithms can help us see things that we otherwise couldn’t see. But I do think it’s terribly important we don’t think that this particular technique is a substitute for superb problem solving, starting with good problem definition. Many people use machine learning without understanding algorithms that themselves can have biases built into them. Just as 20 years ago, when we were doing statistical analysis, we knew that we needed good model definition, we still need a good understanding of our algorithms and really good problem definition before we launch off into big data sets and unknown algorithms.

Simon London: Step six. You’ve done your analysis.

Charles Conn: I take six and seven together, and this is the place where young problem solvers often make a mistake. They’ve got their analysis, and they assume that’s the answer, and of course it isn’t the answer. The ability to synthesize the pieces that came out of the analysis and begin to weave those into a story that helps people answer the question “What should I do?” This is back to where we started. If we can’t synthesize, and we can’t tell a story, then our decision maker can’t find the answer to “What should I do?”

Simon London: But, again, these final steps are about motivating people to action, right?

Charles Conn: Yeah.

Simon London: I am slightly torn about the nomenclature of problem solving because it’s on paper, right? Until you motivate people to action, you actually haven’t solved anything.

Charles Conn: I love this question because I think decision-making theory, without a bias to action, is a waste of time. Everything in how I approach this is to help people take action that makes the world better.

Simon London: Hence, these are absolutely critical steps. If you don’t do this well, you’ve just got a bunch of analysis.

Charles Conn: We end up in exactly the same place where we started, which is people speaking across each other, past each other in the public square, rather than actually working together, shoulder to shoulder, to crack these important problems.

Simon London: In the real world, we have a lot of uncertainty—arguably, increasing uncertainty. How do good problem solvers deal with that?

Hugo Sarrazin: At every step of the process. In the problem definition, when you’re defining the context, you need to understand those sources of uncertainty and whether they’re important or not important. It becomes important in the definition of the tree.

You need to think carefully about the branches of the tree that are more certain and less certain as you define them. They don’t have equal weight just because they’ve got equal space on the page. Then, when you’re prioritizing, your prioritization approach may put more emphasis on things that have low probability but huge impact—or, vice versa, may put a lot of priority on things that are very likely and, hopefully, have a reasonable impact. You can introduce that along the way. When you come back to the synthesis, you just need to be nuanced about what you’re understanding, the likelihood.

Often, people lack humility in the way they make their recommendations: “This is the answer.” They’re very precise, and I think we would all be well-served to say, “This is a likely answer under the following sets of conditions” and then make the level of uncertainty clearer, if that is appropriate. It doesn’t mean you’re always in the gray zone; it doesn’t mean you don’t have a point of view. It just means that you can be explicit about the certainty of your answer when you make that recommendation.

Simon London: So it sounds like there is an underlying principle: “Acknowledge and embrace the uncertainty. Don’t pretend that it isn’t there. Be very clear about what the uncertainties are up front, and then build that into every step of the process.”

Hugo Sarrazin: Every step of the process.

Simon London: Yeah. We have just walked through a particular structured methodology for problem solving. But, of course, this is not the only structured methodology for problem solving. One that is also very well-known is design thinking, which comes at things very differently. So, Hugo, I know you have worked with a lot of designers. Just give us a very quick summary. Design thinking—what is it, and how does it relate?

Hugo Sarrazin: It starts with an incredible amount of empathy for the user and uses that to define the problem. It does pause and go out in the wild and spend an enormous amount of time seeing how people interact with objects, seeing the experience they’re getting, seeing the pain points or joy—and uses that to infer and define the problem.

Simon London: Problem definition, but out in the world.

Hugo Sarrazin: With an enormous amount of empathy. There’s a huge emphasis on empathy. Traditional, more classic problem solving is you define the problem based on an understanding of the situation. This one almost presupposes that we don’t know the problem until we go see it. The second thing is you need to come up with multiple scenarios or answers or ideas or concepts, and there’s a lot of divergent thinking initially. That’s slightly different, versus the prioritization, but not for long. Eventually, you need to kind of say, “OK, I’m going to converge again.” Then you go and you bring things back to the customer and get feedback and iterate. Then you rinse and repeat, rinse and repeat. There’s a lot of tactile building, along the way, of prototypes and things like that. It’s very iterative.

Simon London: So, Charles, are these complements or are these alternatives?

Charles Conn: I think they’re entirely complementary, and I think Hugo’s description is perfect. When we do problem definition well in classic problem solving, we are demonstrating the kind of empathy, at the very beginning of our problem, that design thinking asks us to approach. When we ideate—and that’s very similar to the disaggregation, prioritization, and work-planning steps—we do precisely the same thing, and often we use contrasting teams, so that we do have divergent thinking. The best teams allow divergent thinking to bump them off whatever their initial biases in problem solving are. For me, design thinking gives us a constant reminder of creativity, empathy, and the tactile nature of problem solving, but it’s absolutely complementary, not alternative.

Simon London: I think, in a world of cross-functional teams, an interesting question is do people with design-thinking backgrounds really work well together with classical problem solvers? How do you make that chemistry happen?

Hugo Sarrazin: Yeah, it is not easy when people have spent an enormous amount of time seeped in design thinking or user-centric design, whichever word you want to use. If the person who’s applying classic problem-solving methodology is very rigid and mechanical in the way they’re doing it, there could be an enormous amount of tension. If there’s not clarity in the role and not clarity in the process, I think having the two together can be, sometimes, problematic.

The second thing that happens often is that the artifacts the two methodologies try to gravitate toward can be different. Classic problem solving often gravitates toward a model; design thinking migrates toward a prototype. Rather than writing a big deck with all my supporting evidence, they’ll bring an example, a thing, and that feels different. Then you spend your time differently to achieve those two end products, so that’s another source of friction.

Now, I still think it can be an incredibly powerful thing to have the two—if there are the right people with the right mind-set, if there is a team that is explicit about the roles, if we’re clear about the kind of outcomes we are attempting to bring forward. There’s an enormous amount of collaborativeness and respect.

Simon London: But they have to respect each other’s methodology and be prepared to flex, maybe, a little bit, in how this process is going to work.

Hugo Sarrazin: Absolutely.

Simon London: The other area where, it strikes me, there could be a little bit of a different sort of friction is this whole concept of the day-one answer, which is what we were just talking about in classical problem solving. Now, you know that this is probably not going to be your final answer, but that’s how you begin to structure the problem. Whereas I would imagine your design thinkers—no, they’re going off to do their ethnographic research and get out into the field, potentially for a long time, before they come back with at least an initial hypothesis.

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Hugo Sarrazin: That is a great callout, and that’s another difference. Designers typically will like to soak into the situation and avoid converging too quickly. There’s optionality and exploring different options. There’s a strong belief that keeps the solution space wide enough that you can come up with more radical ideas. If there’s a large design team or many designers on the team, and you come on Friday and say, “What’s our week-one answer?” they’re going to struggle. They’re not going to be comfortable, naturally, to give that answer. It doesn’t mean they don’t have an answer; it’s just not where they are in their thinking process.

Simon London: I think we are, sadly, out of time for today. But Charles and Hugo, thank you so much.

Charles Conn: It was a pleasure to be here, Simon.

Hugo Sarrazin: It was a pleasure. Thank you.

Simon London: And thanks, as always, to you, our listeners, for tuning into this episode of the McKinsey Podcast . If you want to learn more about problem solving, you can find the book, Bulletproof Problem Solving: The One Skill That Changes Everything , online or order it through your local bookstore. To learn more about McKinsey, you can of course find us at McKinsey.com.

Charles Conn is CEO of Oxford Sciences Innovation and an alumnus of McKinsey’s Sydney office. Hugo Sarrazin is a senior partner in the Silicon Valley office, where Simon London, a member of McKinsey Publishing, is also based.

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Five routes to more innovative problem solving

Table of Contents

The problem-solving process, how to solve problems: 5 steps, train to solve problems with lean today, what is problem solving steps, techniques, & best practices explained.

Problem solving is the art of identifying problems and implementing the best possible solutions. Revisiting your problem-solving skills may be the missing piece to leveraging the performance of your business, achieving Lean success, or unlocking your professional potential. 

Ask any colleague if they’re an effective problem-solver and their likely answer will be, “Of course! I solve problems every day.” 

Problem solving is part of most job descriptions, sure. But not everyone can do it consistently. 

Problem solving is the process of defining a problem, identifying its root cause, prioritizing and selecting potential solutions, and implementing the chosen solution.

There’s no one-size-fits-all problem-solving process. Often, it’s a unique methodology that aligns your short- and long-term objectives with the resources at your disposal. Nonetheless, many paradigms center problem solving as a pathway for achieving one’s goals faster and smarter. 

One example is the Six Sigma framework , which emphasizes eliminating errors and refining the customer experience, thereby improving business outcomes. Developed originally by Motorola, the Six Sigma process identifies problems from the perspective of customer satisfaction and improving product delivery. 

Lean management, a similar method, is about streamlining company processes over time so they become “leaner” while producing better outcomes. 

Trendy business management lingo aside, both of these frameworks teach us that investing in your problem solving process for personal and professional arenas will bring better productivity.

1. Precisely Identify Problems

As obvious as it seems, identifying the problem is the first step in the problem-solving process. Pinpointing a problem at the beginning of the process will guide your research, collaboration, and solutions in the right direction. 

At this stage, your task is to identify the scope and substance of the problem. Ask yourself a series of questions: 

• What’s the problem? 
• How many subsets of issues are underneath this problem? 
• What subject areas, departments of work, or functions of business can best define this problem? 

Although some problems are naturally large in scope, precision is key. Write out the problems as statements in planning sheets . Should information or feedback during a later step alter the scope of your problem, revise the statements. 

Framing the problem at this stage will help you stay focused if distractions come up in later stages. Furthermore, how you frame a problem will aid your search for a solution. A strategy of building Lean success, for instance, will emphasize identifying and improving upon inefficient systems. 

2. Collect Information and Plan 

The second step is to collect information and plan the brainstorming process. This is another foundational step to road mapping your problem-solving process. Data, after all, is useful in identifying the scope and substance of your problems. 

Collecting information on the exact details of the problem, however, is done to narrow the brainstorming portion to help you evaluate the outcomes later. Don’t overwhelm yourself with unnecessary information — use the problem statements that you identified in step one as a north star in your research process. 

This stage should also include some planning. Ask yourself:

• What parties will ultimately decide a solution? 
• Whose voices and ideas should be heard in the brainstorming process? 
• What resources are at your disposal for implementing a solution? 

Establish a plan and timeline for steps 3-5. 

3. Brainstorm Solutions

Brainstorming solutions is the bread and butter of the problem-solving process. At this stage, focus on generating creative ideas. As long as the solution directly addresses the problem statements and achieves your goals, don’t immediately rule it out. 

Moreover, solutions are rarely a one-step answer and are more like a roadmap with a set of actions. As you brainstorm ideas, map out these solutions visually and include any relevant factors such as costs involved, action steps, and involved parties. 

With Lean success in mind, stay focused on solutions that minimize waste and improve the flow of business ecosystems. 

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4. Decide and Implement

The most critical stage is selecting a solution. Easier said than done. Consider the criteria that has arisen in previous steps as you decide on a solution that meets your needs. 

Once you select a course of action, implement it. 

Practicing due diligence in earlier stages of the process will ensure that your chosen course of action has been evaluated from all angles. Often, efficient implementation requires us to act correctly and successfully the first time, rather than being hurried and sloppy. Further compilations will create more problems, bringing you back to step 1. 

5. Evaluate

Exercise humility and evaluate your solution honestly. Did you achieve the results you hoped for? What would you do differently next time? 

As some experts note, formulating feedback channels into your evaluation helps solidify future success. A framework like Lean success, for example, will use certain key performance indicators (KPIs) like quality, delivery success, reducing errors, and more. Establish metrics aligned with company goals to assess your solutions.

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The Four-Step Innovation Process

Generating innovative solutions to complex problems.

By the Mind Tools Content Team

Imagine that you need to solve a complex problem. You ask everyone on your team to come up with solutions, and they provide a number of ideas. The problem is that the solutions don't have the impact you'd hoped for – they're wild ideas or quick, obvious fixes, and they won't add much value to what you do.

To solve problems effectively, it's essential that you and your team think in a creative and innovative way. You also need to ensure that your solutions address defined business needs, otherwise your ideas won't add much value.

Weiss and Legrand's Four-Step Innovation Process helps you come up with innovative and creative solutions to complex problems, which are securely grounded in a thorough understanding of the business context.

In this article, we'll look at the benefits of using this process, and we'll discuss how you can apply it to find innovative solutions to the problems you face.

What Are the Four Steps to Problem Solving Innovation?

David Weiss and Claude Legrand developed the Four-Step Innovation Process, and published it in their 2011 book, "Innovative Intelligence: The Art and Practice of Leading Sustainable Innovation in Your Organization."

The four steps are:

• Framework development.
• Define issue.
• Generate ideas.
• Implement best solution.

The model's main, unique advantage is that it encourages you to define your business needs early in the innovation process. This means that you generate solutions that add real value to what you do, so that you can deliver better and more sustainable results.

The Four-Step Innovation Process is a relatively simple model. But it's by no means a "quick fix." It's best to work through the process slowly, and to give yourself plenty of time to think about each step.

How to Solve Your Problem in Four Steps

Let's look at each step in greater detail, and discuss how you can apply the Four-Step Innovation model.

Step 1: Framework Development

This initial step encourages you to think about how you'll solve the problem. It also helps you ensure that the solution you develop robustly meets business needs.

Work through the following sub-steps:

• Identify the problem's history – What is the history of this problem? Has anyone tried to solve it before? What worked, and what didn't?
• Understand context – What's the higher strategy , or project, that the problem fits into? What other projects, problems, rules, or regulations could affect how you solve this problem? How much support will the organization and key stakeholders give to this project?
• Ask "How" – Phrase the problem as a question, starting with "How to..." or "How will we…?" For instance, "How will we cut customer complaints by five percent?" or "How will we speed up the process by one hour?" This helps to set the objective and define how you'll measure success.

Use very specific, quantified words, and avoid vague words like "faster," "improve," "better," "higher," "expensive," or "more," unless you can quantify them.

If you're working with a team, get each person to write a "How will...?" question – one that he or she feels best describes the problem that you're all trying to solve. Then, discuss everyone's ideas, and decide which one is most suitable.

• Define boundaries – What is your budget and timeline, and what resources do you have? What must the solution do, or not do? And what boundaries are outside your control?
• Define outcome – Loosely define the type of solution, or outcome, that you think will solve the problem. Will you need to improve a process or product? Or do you need to rethink the way that you do marketing or sales, for example? This step helps focus your thinking in the later steps.
• Identify the decision maker – Who really "owns" this issue, and who can make the final decision? If you're solving the problem as part of a project, this may be the project sponsor.

Take time to work through these six areas. Although you might feel ready to start coming up with solutions, wait. The work you put in now will help you in later steps.

If you're working on a complex project, it may be useful to put this information into a more formal Project Charter .

Step 2: Define Issue

The goal of this second step is to find the root cause of the problem, and to identify any sub-problems or issues that you haven't yet uncovered. This will help you ensure that you're looking at the right issue.

First, clarify your assumptions about the problem using a tool such as the Ladder of Inference .

Then, explore the problem using tools such as the 5 Whys technique, Cause and Effect Analysis , Root Cause Analysis , and Interrelationship Diagrams , so that you can identify the main issue that you need to deal with.

It can also help to identify how the problem fits into a larger system or process. Flow Charts and Swim Lane Diagrams can help you do this.

Once you feel that you've understood the problem clearly, make sure that you validate this understanding with the problem owner, or decision maker.

Step 3: Generate Ideas

Now that you've identified a framework for solving your problem, and you have a good understanding of what your problem is, you can focus on the fun, creative part of problem solving: idea generation!

There are four substeps in the idea generation process. Following these substeps ensures that you and your team generate ideas that fit within the boundaries and limits that you've already identified.

• Prepare – Arrive at the brainstorming session with the right problem in mind, with an agenda, with a facilitator, and with plenty of creative brainstorming techniques to use.
• Define a framework – Let everyone know what the final "How will...?" question is, and go over the boundaries, rules, and goals that you identified in previous steps. This helps you ensure that everyone is on the same page.
• Start generating ideas – Put your creative brainstorming techniques to use, and start generating ideas. Try not to judge the quality of ideas; just concentrate on speed and quantity during this stage!
• Identify best solutions – Look at all of the solutions that you and your team have generated. You may be able to combine some to create other meaningful solutions. Pick the solution (or combination of solutions) that best answers your "How will…?" question, but don't disregard the other solutions yet.

One of the most damaging things that can happen in stage c is that ideas are censored or judged. Make it clear to your team members that you should not disregard any ideas until you get to step d. There is a time and place for weeding out the weaker ideas, and this should not take place until the end of this step!

Come to the idea generation process prepared with brainstorming techniques that work well with a group. Conventional Brainstorming can work very well, but, if it gets bogged down, be prepared to use tools like Round Robin Brainstorming and Crawford's Slip Writing Method .

If any of you get stuck in the brainstorming process, use lateral thinking techniques such as Provocation to come up with fresh ideas.

Step 4: Implement Best Solution

Now, you need to choose the best solution from Step 3, and develop a plan to implement it successfully. This includes thinking through the solution in detail, assessing risks, and creating detailed plans.

Read our article on organizing team decision-making for more on how you can make great decisions as a group.

If you have several possible solutions to consider, use decision-making tools like Decision Tree Analysis and Decision Matrix Analysis to evaluate your options. Use the criteria you identified in Step 1 to choose between them.

For small projects, an Action Plan will be useful for implementing your solution. However, if you're implementing a large-scale project, you'll need to use a more formal project management approach.

Where your implementation affects several people, or groups of people, it's also worth thinking about how you'll manage change effectively. Remember, if you create a positive vision and communicate a compelling reason for the change, it'll be easier to build excitement and get buy-in from your team or organization.

Terms reprinted from Weiss, D.S., and Legrand, C "Innovative Intelligence: The Art and Practice of Leading Sustainable Innovation in Your Organization" by permission of J. Wiley & Sons Canada, Mississauga, Ontario. Copyright © 2011.

The Four-Step Innovation Process is one of several useful problem-solving processes, and its strength lies in the way that it anchors innovation in the right organizational context.

Other approaches include Hurson's Productive Thinking Model , which is great for encouraging creativity and critical thinking at each stage of the problem-solving process; the Simplex Process , which embeds innovation in a process of continual improvement; and Soft Systems Methodology , which adopts a fluid and iterative approach to problem definition and problem solving.

The best problem-solving approach for your situation may involve a combination of all of these approaches.

David Weiss and Claude Legrand published their Four-Step Innovation Process in their 2011 book, "Innovative Intelligence: The Art and Practice of Leading Sustainable Innovation in Your Organization."

The benefit of using the Four-Step Innovation Process is that it provides a framework that you, along with your team, can use to work through the innovation process in a thorough and methodical way.

This leads to better, more innovative ideas because you've prepared the ground thoroughly, defined issues clearly, generated ideas in the right context, and planned implementation and change carefully.

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The Five-Step Problem-Solving Process

Sometimes when you’re faced with a complex problem, it’s best to pause and take a step back. A break from…

Sometimes when you’re faced with a complex problem, it’s best to pause and take a step back. A break from routine will help you think creatively and objectively. Doing too much at the same time increases the chances of burnout.

Solving problems is easier when you align your thoughts with your actions. If you’re in multiple places at once mentally, you’re more likely to get overwhelmed under pressure. So, a problem-solving process follows specific steps to make it approachable and straightforward. This includes breaking down complex problems, understanding what you want to achieve, and allocating responsibilities to different people to ease some of the pressure.

The problem-solving process will help you measure your progress against factors like budget, timelines and deliverables. The point is to get the key stakeholders on the same page about the ‘what’, ‘why’ and ‘how’ of the process. ( Xanax ) Let’s discuss the five-step problem-solving process that you can adopt.

Problems at a workplace need not necessarily be situations that have a negative impact, such as a product failure or a change in government policy. Making a decision to alter the way your team works may also be a problem. Launching new products, technological upgrades, customer feedback collection exercises—all of these are also “problems” that need to be “solved”.

Here are the steps of a problem-solving process:

1. Defining the Problem

The first step in the process is often overlooked. To define the problem is to understand what it is that you’re solving for. This is also where you outline and write down your purpose—what you want to achieve and why. Making sure you know what the problem is can make it easier to follow up with the remaining steps. This will also help you identify which part of the problem needs more attention than others.

2. Analyzing the Problem

Analyze why the problem occurred and go deeper to understand the existing situation.  If it’s a product that has malfunctioned, assess factors like raw material, assembly line, and people involved to identify the problem areas. This will help you figure out if the problem will persist or recur. You can measure the solution against existing factors to assess its future viability.

3. Weighing the Options

Once you’ve figured out what the problem is and why it occurred, you can move on to generating multiple options as solutions. You can combine your existing knowledge with research and data to come up with viable and effective solutions. Thinking objectively and getting inputs from those involved in the process will broaden your perspective of the problem. You’ll be able to come up with better options if you’re open to ideas other than your own.

4. Implementing The Best Solution

Implementation will depend on the type of data at hand and other variables. Consider the big picture when you’re selecting the best option. Look at factors like how the solution will impact your budget, how soon you can implement it, and whether it can withstand setbacks or failures. If you need to make any tweaks or upgrades, make them happen in this stage.

5. Monitoring Progress

The problem-solving process doesn’t end at implementation. It requires constant monitoring to watch out for recurrences and relapses. It’s possible that something doesn’t work out as expected on implementation. To ensure the process functions smoothly, you can make changes as soon as you catch a miscalculation. Always stay on top of things by monitoring how far you’ve come and how much farther you have to go.

You can learn to solve any problem—big or small—with experience and patience. Adopt an impartial and analytical approach that has room for multiple perspectives. In the workplace, you’re often faced with situations like an unexpected system failure or a key employee quitting in the middle of a crucial project.

Problem-solving skills will help you face these situations head-on. Harappa Education’s Structuring Problems course will show you how to classify and categorize problems to discover effective solutions. Equipping yourself with the right knowledge will help you navigate work-related problems in a calm and competent manner.

Explore topics such as  Problem Solving , the  PICK Chart ,  How to Solve Problems  & the  Barriers to Problem Solving  from our Harappa Diaries blog section and develop your skills.

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• Turn your team into skilled problem sol ...

Turn your team into skilled problem solvers with these problem-solving strategies

Picture this, you're handling your daily tasks at work and your boss calls you in and says, "We have a problem." 

Unfortunately, we don't live in a world in which problems are instantly resolved with the snap of our fingers. Knowing how to effectively solve problems is an important professional skill to hone. If you have a problem that needs to be solved, what is the right process to use to ensure you get the most effective solution?

In this article we'll break down the problem-solving process and how you can find the most effective solutions for complex problems.

What is problem solving? 

Problem solving is the process of finding a resolution for a specific issue or conflict. There are many possible solutions for solving a problem, which is why it's important to go through a problem-solving process to find the best solution. You could use a flathead screwdriver to unscrew a Phillips head screw, but there is a better tool for the situation. Utilizing common problem-solving techniques helps you find the best solution to fit the needs of the specific situation, much like using the right tools.

Decision-making tools for agile businesses

In this ebook, learn how to equip employees to make better decisions—so your business can pivot, adapt, and tackle challenges more effectively than your competition.

4 steps to better problem solving

While it might be tempting to dive into a problem head first, take the time to move step by step. Here’s how you can effectively break down the problem-solving process with your team:

1. Identify the problem that needs to be solved

One of the easiest ways to identify a problem is to ask questions. A good place to start is to ask journalistic questions, like:

Who : Who is involved with this problem? Who caused the problem? Who is most affected by this issue?

What: What is happening? What is the extent of the issue? What does this problem prevent from moving forward?

Where: Where did this problem take place? Does this problem affect anything else in the immediate area? 

When: When did this problem happen? When does this problem take effect? Is this an urgent issue that needs to be solved within a certain timeframe?

Why: Why is it happening? Why does it impact workflows?

How: How did this problem occur? How is it affecting workflows and team members from being productive?

Asking journalistic questions can help you define a strong problem statement so you can highlight the current situation objectively, and create a plan around that situation.

Here’s an example of how a design team uses journalistic questions to identify their problem:

Overarching problem: Design requests are being missed

Who: Design team, digital marketing team, web development team

What: Design requests are forgotten, lost, or being created ad hoc.

Where: Email requests, design request spreadsheet

When: Missed requests on January 20th, January 31st, February 4th, February 6th

How : Email request was lost in inbox and the intake spreadsheet was not updated correctly. The digital marketing team had to delay launching ads for a few days while design requests were bottlenecked. Designers had to work extra hours to ensure all requests were completed.

In this example, there are many different aspects of this problem that can be solved. Using journalistic questions can help you identify different issues and who you should involve in the process.

2. Brainstorm multiple solutions

If at all possible, bring in a facilitator who doesn't have a major stake in the solution. Bringing an individual who has little-to-no stake in the matter can help keep your team on track and encourage good problem-solving skills.

Here are a few brainstorming techniques to encourage creative thinking:

Brainstorm alone before hand: Before you come together as a group, provide some context to your team on what exactly the issue is that you're brainstorming. This will give time for you and your teammates to have some ideas ready by the time you meet.

Say yes to everything (at first): When you first start brainstorming, don't say no to any ideas just yet—try to get as many ideas down as possible. Having as many ideas as possible ensures that you’ll get a variety of solutions. Save the trimming for the next step of the strategy. 

Talk to team members one-on-one: Some people may be less comfortable sharing their ideas in a group setting. Discuss the issue with team members individually and encourage them to share their opinions without restrictions—you might find some more detailed insights than originally anticipated.

Break out of your routine: If you're used to brainstorming in a conference room or over Zoom calls, do something a little different! Take your brainstorming meeting to a coffee shop or have your Zoom call while you're taking a walk. Getting out of your routine can force your brain out of its usual rut and increase critical thinking.

3. Define the solution

After you brainstorm with team members to get their unique perspectives on a scenario, it's time to look at the different strategies and decide which option is the best solution for the problem at hand. When defining the solution, consider these main two questions: What is the desired outcome of this solution and who stands to benefit from this solution? 

Set a deadline for when this decision needs to be made and update stakeholders accordingly. Sometimes there's too many people who need to make a decision. Use your best judgement based on the limitations provided to do great things fast.

4. Implement the solution

To implement your solution, start by working with the individuals who are as closest to the problem. This can help those most affected by the problem get unblocked. Then move farther out to those who are less affected, and so on and so forth. Some solutions are simple enough that you don’t need to work through multiple teams.

After you prioritize implementation with the right teams, assign out the ongoing work that needs to be completed by the rest of the team. This can prevent people from becoming overburdened during the implementation plan . Once your solution is in place, schedule check-ins to see how the solution is working and course-correct if necessary.

Implement common problem-solving strategies

There are a few ways to go about identifying problems (and solutions). Here are some strategies you can try, as well as common ways to apply them:

Trial and error

Trial and error problem solving doesn't usually require a whole team of people to solve. To use trial and error problem solving, identify the cause of the problem, and then rapidly test possible solutions to see if anything changes. 

This problem-solving method is often used in tech support teams through troubleshooting.

The 5 whys problem-solving method helps get to the root cause of an issue. You start by asking once, “Why did this issue happen?” After answering the first why, ask again, “Why did that happen?” You'll do this five times until you can attribute the problem to a root cause. 

This technique can help you dig in and find the human error that caused something to go wrong. More importantly, it also helps you and your team develop an actionable plan so that you can prevent the issue from happening again.

Here’s an example:

Problem: The email marketing campaign was accidentally sent to the wrong audience.

“Why did this happen?” Because the audience name was not updated in our email platform.

“Why were the audience names not changed?” Because the audience segment was not renamed after editing. 

“Why was the audience segment not renamed?” Because everybody has an individual way of creating an audience segment.

“Why does everybody have an individual way of creating an audience segment?” Because there is no standardized process for creating audience segments. 

“Why is there no standardized process for creating audience segments?” Because the team hasn't decided on a way to standardize the process as the team introduced new members. 

In this example, we can see a few areas that could be optimized to prevent this mistake from happening again. When working through these questions, make sure that everyone who was involved in the situation is present so that you can co-create next steps to avoid the same problem. 

A SWOT analysis

A SWOT analysis can help you highlight the strengths and weaknesses of a specific solution. SWOT stands for:

Strength: Why is this specific solution a good fit for this problem? 

Weaknesses: What are the weak points of this solution? Is there anything that you can do to strengthen those weaknesses?

Opportunities: What other benefits could arise from implementing this solution?

Threats: Is there anything about this decision that can detrimentally impact your team?

As you identify specific solutions, you can highlight the different strengths, weaknesses, opportunities, and threats of each solution. 

This particular problem-solving strategy is good to use when you're narrowing down the answers and need to compare and contrast the differences between different solutions. 

Even more successful problem solving

After you’ve worked through a tough problem, don't forget to celebrate how far you've come. Not only is this important for your team of problem solvers to see their work in action, but this can also help you become a more efficient, effective , and flexible team. The more problems you tackle together, the more you’ll achieve. 

Looking for a tool to help solve problems on your team? Track project implementation with a work management tool like Asana .

Related resources

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What is Problem Solving? Process, Techniques, Examples

Home Blog others What is Problem Solving? Process, Techniques, Examples

Whether tackling a technical issue at work or finding our way around a roadblock unnoticed by Google Maps, problem-solving is a daily occurrence for most people. But how prepared are you to overcome life's challenges? Do you rely on a structured process to ensure successful outcomes, or do you navigate through problems impulsively? 

Here's the crux: the strength of your problem-solving skills significantly impacts the ease and success of your life, both professionally and personally. Practical problem-solving is a valuable career and life skill. You're in the right place if you're eager to enhance your problem-solving abilities efficiently. 

In this blog post, I will delve into what is problem solving the steps, techniques, and exercises of the problem-solving process. Whether seeking to troubleshoot technical issues or navigate life's complexities, mastering organized problem-solving can elevate your capabilities and lead to more favorable outcomes. 

What is Problem Solving? And Its Importance

First, let me help you understand what is problem solving. Problem-solving is a comprehensive process involving identifying issues, prioritizing based on urgency and severity, analyzing root causes, gathering pertinent Information, devising and assessing solutions, making informed decisions, and planning and executing implementation strategies. 

This skill set also encompasses critical thinking, effective communication, active listening, creativity, research, data analysis, risk assessment, continuous learning, and decision-making abilities. Effective problem-solving strategies mitigate potential losses or damages and enhance self-confidence and reputation. Problem-solving is essential in personal and professional contexts as it allows individuals and teams to navigate obstacles, make informed decisions, and drive progress. 

Importance: 

• Enhances Decision-Making: Effective problem solving leads to better decision-making by evaluating various options and selecting the most suitable solution. 
• Promotes Innovation: Problem solving encourages innovation and creativity as individuals seek new approaches to tackle challenges. 
• Improves Efficiency: By resolving issues efficiently, problem solving helps streamline processes and optimize resource allocation. 
• Builds Resilience: Successfully overcoming obstacles builds confidence and resilience, enabling  
• individuals and teams to tackle future challenges with greater confidence.  

Problem-solving Process 

Now that we have a clear understanding of the problem solving definition as to what is problem solving let us now navigate the problem solving process. Effective problem-solving is a valuable skill sought after by employers in various fields. Here's a breakdown of a common problem-solving process, presented in a pointwise manner: 

1. Identifying the Problem 

The first step in the problem-solving process is clearly defining the issue. This involves gathering relevant Information, observing patterns or trends, and understanding the impact of the problem on stakeholders. 

2. Analyzing the Situation 

Once the problem is identified, it's essential to analyze its root causes and contributing factors. This may involve conducting research, gathering data, and exploring different perspectives to comprehensively understand the situation. 

3. Generating Solutions 

With a clear understanding of the problem solving methods, brainstorming potential solutions is the next step. Encouraging creativity and considering various alternatives can lead to innovative ideas. Evaluating each solution based on feasibility, effectiveness, and alignment with goals and values is crucial. 

4. Evaluating Options 

After generating a list of potential solutions, it's essential to carefully evaluate each option. This involves weighing the pros and cons, considering potential risks and benefits, and assessing the likelihood of success. Consulting with relevant stakeholders or experts can provide valuable insights during this stage. 

5. Selecting the Best Solution 

Based on the evaluation, one or more solutions are the most viable options. It's essential to prioritize solutions that address the root cause of the problem and have the most significant potential for long-term success. Communicating the chosen solution effectively to stakeholders is crucial for garnering support and buy-in. 

6. Implementing the Solution 

Once a solution is selected, it's time to put it into action. This involves developing a detailed action plan, allocating resources, and assigning responsibilities. Effective communication, coordination, and monitoring are essential during the implementation phase to ensure smooth execution and timely resolution of the problem. 

7. Monitoring and Reviewing 

After implementing the solution, it's essential to monitor its progress and evaluate its effectiveness over time. This may involve collecting feedback, analyzing performance metrics, and making adjustments as needed. Continuous monitoring and review allow for ongoing improvement and refinement of the problem-solving process.  

How to Solve Problems in 5 Simple Steps? 

Here's a breakdown of the 5 problem-solving steps for your understanding: 

1. Define the Problem (Understand & Gather Information)  

• Identify the Issue: Clearly understand what the problem is. What isn't working, or what needs improvement? 
• Gather Information: Talk to people involved, collect data, and research relevant details to get a well-rounded picture of the situation. 
• Ask Why? Don't just focus on symptoms. Ask "why" several times to identify the root cause of the problem. 

Example: Let's say customer complaints about slow website loading times have increased. 

2. Brainstorm Solutions (Think Creatively & Be Open-Minded)  

• Think Outside the Box: Don't settle for the first solution that comes to mind. Brainstorm a variety of options, even seemingly unconventional ones. 
• Consider All Angles: Evaluate the problem from different perspectives. What are potential solutions from a technical standpoint? From a user experience point of view? 
• Build on Ideas: Don't shut down ideas prematurely. Encourage others to build upon and refine suggestions collaboratively. 

Example: Potential solutions for slow website loading times could include optimizing images, upgrading server capacity, or implementing a content delivery network (CDN). 

3. Evaluate & Choose a Solution (Consider Feasibility & Impact)  

• Weigh the Pros & Cons: Analyze the feasibility, resource requirements, and potential risks and benefits of each solution. 
• Align with Goals: Ensure the chosen solution directly addresses the root cause of the problem and aligns with your overall objectives. 
• Prioritize Impact: Choose the solution with the most significant potential to achieve a positive outcome and lasting improvement. 

Example: Upgrading server capacity might be a very effective solution, but it could be expensive. Optimizing images is a more feasible solution that could yield significant improvement. 

4. Implement the Solution (Take Action & Communicate Clearly)  

• Develop a Plan: Create a clear action plan outlining the steps involved in implementing the chosen solution. Assign tasks and set deadlines. 
• Communication is Key: Clearly communicate the plan to everyone involved, including stakeholders and team members. 
• Monitor Progress: Track the implementation process and make adjustments as needed based on the results. 

Example: The website optimization plan might involve tasks like image resizing, code minification, and implementing caching mechanisms. 

5. Evaluate the Outcome (Learn & Adapt)  

• Measure Success: Assess whether the implemented solution effectively resolved the problem. Did it meet your goals? 
• Lessons Learned: Reflect on what worked well and what could be improved during the problem-solving process. 
• Continuous Improvement: Use this experience to refine your problem-solving approach and enhance your skills for future challenges. Enroll in free online certification courses for professional development and skill enhancement. 

Example: After website optimization, monitor website loading times and customer feedback to see if the issue has been resolved. If not, repeat the process, considering new solutions based on the learnings from this attempt. 

Remember, problem-solving is an iterative process. Be prepared to adapt your approach as you gather more Information and evaluate the effectiveness of your solutions.  

Essential Things to Consider in Each of the Problem-solving Steps

Creative problem solving requires careful consideration at each stage. Here are vital things to focus on: 

1. Identifying & Defining the Problem 

• Gather Information: Consult stakeholders, review data, and gain insights from various perspectives. 
• Identify Root Cause: Address the underlying reason, not just symptoms. 
• Define Scope: Clearly outline the problem's boundaries to maintain focus. 

2. Analyzing the Problem 

• Consider Multiple Perspectives: Explore diverse angles to uncover potential factors. 
• Brainstorm Freely: Foster creativity without judgment to generate innovative ideas. 
• Analyze Impact: Evaluate the severity and consequences of the problem if left unresolved. 
• Think Creatively: Explore unconventional solutions beyond initial ideas. 
• Consider Feasibility: Assess the practicality and resource requirements of each option. 
• Identify Potential Risks & Benefits: Weigh the pros and cons to select the most balanced approach. 

4. Evaluating and Selecting a Solution 

• Align with Goals: Ensure the chosen solution addresses the core issue and aligns with objectives. 
• Consider Long-Term Impact: Choose solutions with lasting benefits beyond immediate results. 
• Team Input: Involve team members to gain diverse perspectives during evaluation. 

5. Implementing the Solution  

• Develop a Clear Plan: Outline implementation steps with clear timelines and responsibilities. 
• Communication is Key: Ensure all stakeholders understand the plan to facilitate smooth execution. 
• Monitor Progress: Track implementation and adjust as needed based on results. 

6. Evaluating the Outcome  

• Measure Effectiveness: Assess if the solution effectively resolves the problem or needs refinement. 
• Lessons Learned: Identify successes and areas for improvement to enhance future problem-solving efforts. 

Problem Solving Examples

Let us look at problem solving example scenarios in a typical workplace: , example 1: project deadline challenge .

• Situation: You're a project manager leading a team that is developing a new marketing campaign website. The launch date is approaching, but a critical developer is unexpectedly out sick for a week. 
• Action: You immediately assess the workload and delegate tasks among the remaining team members. You identify an opportunity to streamline a design element, reducing development time. You also reach out to a freelancer with a proven track record to fill in for the missing developer on specific tasks. 
• Result: The team successfully launches the website on time and within budget. The streamlined design element is praised by stakeholders for its user-friendliness. 
• Highlight: This example showcases your problem-solving skills, leadership, adaptability, and ability to manage resources effectively under pressure. 

Example 2: Client Communication Breakdown 

• Situation: You're a Customer Service Representative for an e-commerce company. A regular customer expresses extreme dissatisfaction with a recent purchase due to a malfunctioning product and a negative experience with a previous representative. 
• Action: You actively listen to the customer's concerns, apologizing for the inconvenience. You then troubleshoot the product issue and offer a solution (replacement or refund). Additionally, you acknowledge the previous negative experience and offer to ensure better communication going forward. 
• Result: The customer is satisfied with the resolution and expresses appreciation for your attentiveness and problem-solving approach. They remain a loyal customer of the company. 
• Highlight: This example demonstrates your active listening skills, empathy, ability to de-escalate situations, and commitment to customer satisfaction. 

By following these examples of problem-solving skills, you can effectively tackle challenges and achieve successful outcomes. Also, explore KnowledgeHut’ s best online courses for further skill enhancement. 

Problem Solving Techniques

Effective problem-solving techniques are essential for tackling challenges and achieving desired outcomes. Here are some problem solving tools and techniques commonly used in problem-solving: 

• Brainstorming : Encourages the generation of a wide range of ideas and solutions in a non-judgmental environment. This technique promotes creativity and can uncover innovative approaches to problems. 
• Root Cause Analysis : Focuses on identifying the underlying causes of a problem rather than just addressing its symptoms. By pinpointing root causes, solutions can be targeted more effectively to prevent recurrence. 
• Fishbone Diagram (Ishikawa Diagram): Provides a visual representation of the various factors contributing to a problem, categorized into branches such as people, process, equipment, environment, and management. This technique helps analyze complex issues and identify potential causes. 
• SWOT Analysis : Evaluates the strengths, weaknesses, opportunities, and threats associated with a problem or situation. This technique helps assess the internal and external factors influencing the problem and guides decision-making. 
• Pareto Analysis: Focuses on identifying and prioritizing the most significant causes contributing to a problem. By allocating resources to address the vital few rather than the trivial many, this technique maximizes impact and efficiency. 
• 5 Whys : Involves asking "why" repeatedly to trace the root cause of a problem. This iterative questioning technique helps uncover more profound layers of causation beyond surface-level symptoms. 
• Decision Matrix Analysis: Helps evaluate multiple options by systematically comparing their pros and cons against predetermined criteria. This technique facilitates objective decision-making by considering various factors and their relative importance. 

By incorporating these problem-solving techniques in the workplace, you can approach problems systematically, generate creative solutions, and develop a well-rounded plan for achieving success.  

Conquering challenges is a key to professional success, and practical problem-solving equips you to do just that. By following a structured approach, you can transform from a bystander to a solution-oriented individual. This involves gathering Information to clearly define the problem and identify its root cause. Analyzing the situation from various angles and brainstorming freely unlock creative solutions. Evaluating potential solutions ensures you choose the one that aligns with your goals and is feasible to implement. Clear communication and a well-defined plan are crucial for successful execution. Finally, reflecting on the outcome allows you to learn and continuously improve your problem-solving skills, making you an invaluable asset in any environment. 

Frequently Asked Questions (FAQs)

The best method involves identifying the problem, brainstorming solutions, evaluating options, implementing the chosen solution, and assessing outcomes for improvement.

The principles include defining the problem, generating alternatives, evaluating options, implementing solutions, and reviewing outcomes for continuous improvement.

Different types include analytical problem-solving, creative problem-solving, critical thinking, decision-making, and systematic problem-solving.

The significant elements include understanding the problem, devising a plan, executing the plan, and evaluating the results.

The skills encompass critical thinking, decision-making, and analytical reasoning. These abilities aid in identifying, analyzing, and resolving problems effectively. 

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