Identify Goal
Define Problem
Define Problem
Gather Data
Define Causes
Identify Options
Clarify Problem
Generate Ideas
Evaluate Options
Generate Ideas
Choose the Best Solution
Implement Solution
Select Solution
Take Action
MacLeod offers her own problem solving procedure, which echoes the above steps:
“1. Recognize the Problem: State what you see. Sometimes the problem is covert. 2. Identify: Get the facts — What exactly happened? What is the issue? 3. and 4. Explore and Connect: Dig deeper and encourage group members to relate their similar experiences. Now you're getting more into the feelings and background [of the situation], not just the facts. 5. Possible Solutions: Consider and brainstorm ideas for resolution. 6. Implement: Choose a solution and try it out — this could be role play and/or a discussion of how the solution would be put in place. 7. Evaluate: Revisit to see if the solution was successful or not.”
Many of these problem solving techniques can be used in concert with one another, or multiple can be appropriate for any given problem. It’s less about facilitating a perfect CPS session, and more about encouraging team members to continually think outside the box and push beyond personal boundaries that inhibit their innovative thinking. So, try out several methods, find those that resonate best with your team, and continue adopting new techniques and adapting your processes along the way.
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You might associate problem-solving with the math exercises that a seven-year-old would do at school. But problem-solving isn’t just about math — it’s a crucial skill that helps everyone make better decisions in everyday life or work.
Problem-solving involves finding effective solutions to address complex challenges, in any context they may arise.
Unfortunately, structured and systematic problem-solving methods aren’t commonly taught. Instead, when solving a problem, PMs tend to rely heavily on intuition. While for simple issues this might work well, solving a complex problem with a straightforward solution is often ineffective and can even create more problems.
In this article, you’ll learn a framework for approaching problem-solving, alongside how you can improve your problem-solving skills.
When it comes to problem-solving there are seven key steps that you should follow: define the problem, disaggregate, prioritize problem branches, create an analysis plan, conduct analysis, synthesis, and communication.
Problem-solving begins with a clear understanding of the issue at hand. Without a well-defined problem statement, confusion and misunderstandings can hinder progress. It’s crucial to ensure that the problem statement is outcome-focused, specific, measurable whenever possible, and time-bound.
Additionally, aligning the problem definition with relevant stakeholders and decision-makers is essential to ensure efforts are directed towards addressing the actual problem rather than side issues.
Complex issues often require deeper analysis. Instead of tackling the entire problem at once, the next step is to break it down into smaller, more manageable components.
Various types of logic trees (also known as issue trees or decision trees) can be used to break down the problem. At each stage where new branches are created, it’s important for them to be “MECE” – mutually exclusive and collectively exhaustive. This process of breaking down continues until manageable components are identified, allowing for individual examination.
The decomposition of the problem demands looking at the problem from various perspectives. That is why collaboration within a team often yields more valuable results, as diverse viewpoints lead to a richer pool of ideas and solutions.
The next step involves prioritization. Not all branches of the problem tree have the same impact, so it’s important to understand the significance of each and focus attention on the most impactful areas. Prioritizing helps streamline efforts and minimize the time required to solve the problem.
For prioritized components, you may need to conduct in-depth analysis. Before proceeding, a work plan is created for data gathering and analysis. If work is conducted within a team, having a plan provides guidance on what needs to be achieved, who is responsible for which tasks, and the timelines involved.
Data gathering and analysis are central to the problem-solving process. It’s a good practice to set time limits for this phase to prevent excessive time spent on perfecting details. You can employ heuristics and rule-of-thumb reasoning to improve efficiency and direct efforts towards the most impactful work.
After each individual branch component has been researched, the problem isn’t solved yet. The next step is synthesizing the data logically to address the initial question. The synthesis process and the logical relationship between the individual branch results depend on the logic tree used.
The last step is communicating the story and the solution of the problem to the stakeholders and decision-makers. Clear effective communication is necessary to build trust in the solution and facilitates understanding among all parties involved. It ensures that stakeholders grasp the intricacies of the problem and the proposed solution, leading to informed decision-making.
While problem-solving has traditionally been associated with fields like engineering and science, today it has become a fundamental skill for individuals across all professions. In fact, problem-solving consistently ranks as one of the top skills required by employers.
Problem-solving techniques can be applied in diverse contexts:
Despite the variation in domains and contexts, the fundamental approach to solving these questions remains the same. It starts with gaining a clear understanding of the problem, followed by decomposition, conducting analysis of the decomposed branches, and synthesizing it into a result that answers the initial problem.
Let’s now explore some examples where we can apply the problem solving framework.
Problem: In the production of electronic devices, you observe an increasing number of defects. How can you reduce the error rate and improve the quality?
Before delving into analysis, you can deprioritize branches that you already have information for or ones you deem less important. For instance, while transportation delays may occur, the resulting material degradation is likely negligible. For other branches, additional research and data gathering may be necessary.
Once results are obtained, synthesis is crucial to address the core question: How can you decrease the defect rate?
While all factors listed may play a role, their significance varies. Your task is to prioritize effectively. Through data analysis, you may discover that altering the equipment would bring the most substantial positive outcome. However, executing a solution isn’t always straightforward. In prioritizing, you should consider both the potential impact and the level of effort needed for implementation.
By evaluating impact and effort, you can systematically prioritize areas for improvement, focusing on those with high impact and requiring minimal effort to address. This approach ensures efficient allocation of resources towards improvements that offer the greatest return on investment.
Problem : What should be my next job role?
When breaking down this problem, you need to consider various factors that are important for your future happiness in the role. This includes aspects like the company culture, our interest in the work itself, and the lifestyle that you can afford with the role.
However, not all factors carry the same weight for us. To make sense of the results, we can assign a weight factor to each branch. For instance, passion for the job role may have a weight factor of 1, while interest in the industry may have a weight factor of 0.5, because that is less important for you.
By applying these weights to a specific role and summing the values, you can have an estimate of how suitable that role is for you. Moreover, you can compare two roles and make an informed decision based on these weighted indicators.
This framework provides the foundation and guidance needed to effectively solve problems. However, successfully applying this framework requires the following:
Problem-solving requires practice and a certain mindset. The more you practice, the easier it becomes. Here are some strategies to enhance your skills:
Problem-solving extends far beyond mathematics or scientific fields; it’s a critical skill for making informed decisions in every area of life and work. The seven-step framework presented here provides a systematic approach to problem-solving, relevant across various domains.
Now, consider this: What’s one question currently on your mind? Grab a piece of paper and try to apply the problem-solving framework. You might uncover fresh insights you hadn’t considered before.
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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.
The problem-solving process typically includes the following steps:
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:
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:
Evaluate each potential solution, weighing its pros and cons. To facilitate decision-making, use techniques such as:
After evaluating, choose the most suitable solution based on effectiveness, cost, and time constraints.
Implement the chosen solution and monitor its progress. Key actions include:
Utilize feedback from stakeholders and consider potential improvements. Remember that problem-solving is an ongoing process that can always be refined and enhanced.
During each step, you may find it helpful to utilize various problem-solving techniques, such as:
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:
When brainstorming, remember to:
For effective problem-solving, identifying the root cause of the issue at hand is crucial. Try these methods:
SWOT analysis helps you examine the Strengths, Weaknesses, Opportunities, and Threats related to your problem. To perform a SWOT analysis:
SWOT analysis aids in understanding the internal and external factors affecting the problem, which can help guide your solution.
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:
Mind mapping allows you to visually see connections between ideas and promotes creativity in problem-solving.
In the business world, you might encounter problems related to finances, operations, or communication. Applying problem-solving skills in these situations could look like:
In educational contexts, problem-solving can be seen in various aspects, such as:
Everyday life is full of challenges that require problem-solving skills. Some examples include:
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.
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 :
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.
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 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.
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.
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.
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 .
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.
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:
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."
May 4, 2023 You’ve defined your problem, ensured stakeholders are aligned, and are ready to bring the right problem-solving approach and focus to the situation to find an optimal solution. But what is the right problem-solving approach? And what if there is no single ideal course of action? In our 2013 classic from the Quarterly , senior partner Olivier Leclerc highlights the value of taking a number of different approaches simultaneously to solve difficult problems. Read on to discover the five flexons, or problem-solving languages, that can be applied to the same problem to generate richer insights and more innovative solutions. Then check out more insights on problem-solving approaches, and dive into examples of pressing challenges organizations are contending with now.
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Author: Daniel Croft
Daniel Croft is an experienced continuous improvement manager with a Lean Six Sigma Black Belt and a Bachelor's degree in Business Management. With more than ten years of experience applying his skills across various industries, Daniel specializes in optimizing processes and improving efficiency. His approach combines practical experience with a deep understanding of business fundamentals to drive meaningful change.
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!
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:
Download the 8D Problem Solving Template
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:
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.
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:
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:
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.
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.
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:
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.
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.
Hi im Daniel continuous improvement manager with a Black Belt in Lean Six Sigma and over 10 years of real-world experience across a range sectors, I have a passion for optimizing processes and creating a culture of efficiency. I wanted to create Learn Lean Siigma to be a platform dedicated to Lean Six Sigma and process improvement insights and provide all the guides, tools, techniques and templates I looked for in one place as someone new to the world of Lean Six Sigma and Continuous improvement.
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Teams today aren’t just asked to execute tasks: They’re called upon to solve problems. You’d think that many brains working together would mean better solutions, but the reality is that too often problem-solving teams fall victim to inefficiency, conflict, and cautious conclusions. The two charts below will help your team think about how to collaborate better and come up with the best solutions for the thorniest challenges.
Problems. Problems. Problems. Life is full of little and big problems, and often it turns out that the big ones are in fact series of little ones. We all come across problems in our lives. It’s how we deal with them that’s interesting. Experts say there are different kinds of problem-solving styles .
Problems seem like something to avoid. But in reality, they are unavoidable. Look a little closer and life is just one of those big problems full of little, unavoidable problems.
Most of us even go out of our way to find problems . Some add drama to their romantic lives to keep it spicy. Others buy crossword books or start a small business in the evenings outside of their regular work. Not for love, prizes, or riches – but the challenge.
Problem-solving is a survival tool . Perhaps we evolved it instead of claws or telepathy. Our ancestors figured how to survive the cold and eat practically – and later, healthily. Individuals learn how to use tools, achieving with our minds and environments. All of which we couldn’t achieve with just a dumb body. Communities, governments, the businesses that put food on our table. They all come together to solve problems.
Some even say that problem-solving is the primary design attribute of the human brain. As all this problem-solving got more sophisticated, that’s when we evolved to start creating problems to keep our brains fit. Just think of that crossword puzzle.
Solving problems regularly may even boost our chances of ‘survival’ by helping stave off dementia. Although science is still mixed on this. Certainly, problem-solving as part of a concerted effort towards more mental and physical exercise can extend brain function in old age. Even if can’t be shown to prevent Alzheimer’s.
But how about in our daily lives as professionals, parents, and carers? How can you boost your ability to navigate the obstacles that arise each day? Figuring out what type of problem-solver you are in the first place is a pretty good place to start.
Different researchers divide people into different categories of problem-solver depending on their approach. For example, one system divides us into four specific groups :
The Clarifier-type is cautious, methodical, and research-oriented . They ask a lot of questions . It can be a pain to have one in the room with you – but it’s probably safer if you do!
The Ideator is more instinctive . They throw potential solutions around, often without waiting to see where they land. This can be frustrating for colleagues who prefer a methodical approach. Lots of ideas may lack value or may disappear before they can be interrogated. But the ideator often has the spark of genius it requires to break a deadlock situation. To see something that no-one else saw.
The Developer is somewhere between the first two types . They value ideas but they also value the interrogation of those ideas. When they come up with a potential solution, they will quickly move to check it from every angle. Only then will they reject or accept it as the best way ahead.
The Implementor, as the name suggests, finds value a little further along in the process . They may egg the team on during ideation and development because they just want to try things out. They will – to use the common sporting analogy – take the ball and run with it.
Another method of looking at types like these reduces them to just three different problem-solvers :
Clearly, from the names alone, there is some overlap with the first type system. But this second way of looking at things is perhaps a bit more critical. It offers methods of improvement to each type.
For example, the Clarifier-Ideator-Developer-Implementor styles suggest the ideal configuration for a problem-solving team . However, none are considered a ‘better’ one to be than the others.
Therefore, the Intuitive-Inconsistent-Systematic system is more of a value judgement. A purely intuitive problem-solver, the system suggests, can eventually become a systematic type if they work hard enough at it.
What does that work involve? Well, first you have to figure out which type you are. (Hint: check the infographic at the foot of this article).
If you depend on your instincts, throw yourself straight into actioning a solution before doing your research or testing. Also, if you have a tendency to try to do it all yourself without consulting others – you’re the intuitive type .
Do you take your time over a problem – sometimes too long – and tend to switch-up your approach very quickly when a solution is not forthcoming? If this is the case, you could be the inconsistent type.
This type borrows techniques from both the intuitive and systematic types, but not always effectively. You have some idea of the most effective way to solve a problem . However, you are easily discouraged from pursuing an approach to its conclusion.
The systematic type is calm, methodical , but driven. Every stage of the decision-making process is given equal weight: research, analysis, ideation, deliberation, and execution. Including assessing how it all went and how to prevent similar problems arising in future.
Once you’ve figured out your type, it is time to work on your weaknesses.
Also applying yourself more purposefully. The simplest way to get time-aware is to set yourself deadlines for coming up with solutions. How long depends on the problem, of course. Picking a deadline stops you from procrastinating too long. Or failing to get engaged with the issue.
But picking a lower-end deadline – a minimum period to spend on a problem – is also useful for the intuitive type. Refuse to decide until at least (for example) two minutes have passed. Then, hopefully, you will prevent yourself from plunging into a bad idea without giving it the required thought.
How should someone with the intuitive problem-solving style use this time? Methodically! Divide the solution-finding process into stages . Then, try to complete each stage by the given ‘sub-deadline.’ Don’t forget to pencil in time to talk with others about the problem, and your potential solution.
Ask yourself: what is the problem? What are the different factors and elements involved? What are the consequences? How do you feel about the problem? Finally, how does it affect other people?
And of course, once your solution is actioned, don’t just move on. Stop, analyze how effective your solution was and why. Then figure out what to do to prevent the problem arising again – and what to do differently if it does.
They are easily distracted or filled with doubt. Doubt is an important feeling, but without a framework to assess the validity of that doubt, it will only undermine you. How can the inconsistent problem-solver type stay on the straight-and-narrow to an effective solution?
One method is to exclude others from part of the process. Too many conflicting voices can paralyze someone with the inconsistent style of problem-solving. It has been shown that the brainstorming process can be more effective if done alone than in a group. So try to do just that.
Use words or visual cues to prompt inspiration. Write or draw as you work in order. This will concretize your thought process, which is all too vulnerable to evaporating when doubt hits. You can run your ideas past the group once you’ve had a chance to think them through unencumbered.
Another method is to quantify the value of your ideas. For example, say you’ve cooked up three potential solutions to a problem. But, you have no idea which one is best. It is classic inconsistent-type behavior to lose time dithering between all three ideas, lost in indecision .
Instead, write them down in a chart. Then, give each one a score out of 5 according to its strength in whatever categories are relevant to the problem. For example, expense, time, elegance, effort. Add up the scores and see what the numbers tell you to do.
But do black belts stop learning new moves? Like heck they do! There are infinite problem-solving systems for systematic solvers to try. Each works best in different circumstances, and the true problem-solving guru knows how and when to combine elements of different styles.
The CATWOE approach, for example, is quite straightforward (apparently) series of questions with which to interrogate a problem. It is particularly useful in business scenarios.
As soon as you have graduated from being an intuitive or inconsistent problem-solver to becoming officially ‘systematic,’ you’ll find a ton of methods like this online and on the advice of your colleagues and mentors. But don’t run before you can walk.
Start by using the infographic below to analyze your problem-solver type . Then power-up your problem-solving style to not just survive but flourish along this long old problem-filled trek we call life.
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A very good insight into the problem-solving techniques and the types. Quite helpful.
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Problem solving is an increasingly important soft skill for those in business. The Future of Jobs Survey by the World Economic Forum drives this point home. According to this report, complex problem solving is identified as one of the top 15 skills that will be sought by employers in 2025, along with other soft skills such as analytical thinking, creativity and leadership.
Dr. Amy David , clinical associate professor of management for supply chain and operations management, spoke about business problem-solving methods and how the Purdue University Online MBA program prepares students to be business decision-makers.
Every business will face challenges at some point. Those that are successful will have people in place who can identify and solve problems before the damage is done.
“The business world is constantly changing, and companies need to be able to adapt well in order to produce good results and meet the needs of their customers,” David says. “They also need to keep in mind the triple bottom line of ‘people, profit and planet.’ And these priorities are constantly evolving.”
To that end, David says people in management or leadership need to be able to handle new situations, something that may be outside the scope of their everyday work.
“The name of the game these days is change—and the speed of change—and that means solving new problems on a daily basis,” she says.
The pace of information and technology has also empowered the customer in a new way that provides challenges—or opportunities—for businesses to respond.
“Our customers have a lot more information and a lot more power,” she says. “If you think about somebody having an unhappy experience and tweeting about it, that’s very different from maybe 15 years ago. Back then, if you had a bad experience with a product, you might grumble about it to one or two people.”
David says that this reality changes how quickly organizations need to react and respond to their customers. And taking prompt and decisive action requires solid problem-solving skills.
David says there are a few things to consider when encountering a challenge in business.
“When faced with a problem, are we talking about something that is broad and affects a lot of people? Or is it something that affects a select few? Depending on the issue and situation, you’ll need to use different types of problem-solving strategies,” she says.
There are a number of techniques that businesses use to problem solve. These can include:
“We have a lot of these different tools,” David says. “Which one to use when is going to be dependent on the problem itself, the level of the stakeholders, the number of different stakeholder groups and so on.”
Each of the techniques outlined above uses the same core steps of problem solving:
Data drives a lot of daily decisions in business and beyond. Analytics have also been deployed to problem solve.
“We have specific classes around storytelling with data and how you convince your audience to understand what the data is,” David says. “Your audience has to trust the data, and only then can you use it for real decision-making.”
Data can be a powerful tool for identifying larger trends and making informed decisions when it’s clearly understood and communicated. It’s also vital for performance monitoring and optimization.
The courses in the Purdue Online MBA program teach problem-solving methods to students, keeping them up to date with the latest techniques and allowing them to apply their knowledge to business-related scenarios.
“I can give you a model or a tool, but most of the time, a real-world situation is going to be a lot messier and more valuable than what we’ve seen in a textbook,” David says. “Asking students to take what they know and apply it to a case where there’s not one single correct answer is a big part of the learning experience.”
An online MBA from Purdue University can help advance your career by teaching you problem-solving skills, decision-making strategies and more. Reach out today to learn more about earning an online MBA with Purdue University .
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By Alexa Vazquez
Mingxi Tang studied finance at The Chinese University of Hong Kong, Shenzhen, and had plans to pursue a career in the industry after graduation. Her path took a sudden turn the day she discovered a video on the UC Berkeley website — an introduction to the Master of Development Engineering program.
The video showcased MDevEng professors working in under-resourced regions across the world, striving to improve the lives of people living in low-income communities using technology to measure soil nutrients for crop growth. Inspired by the various student projects she saw on the website, Tang applied, was accepted, and packed her bags for Berkeley.
“Honestly, I was really moved. I knew I had to apply to the program, because I wanted to learn the technical skills I need to help people live better lives,” Tang said.
Tang is now one of the 28 students that make up the fourth MDevEng cohort. The class of 2025 comes from all over the world, with students hailing from China, Uganda, Ireland, and beyond, and having academic backgrounds ranging from mechanical engineering to applied languages. On August 22, Tang met up with the rest of her classmates — each pursuing their own concentrations such as sustainable design and AI and data analytics — at Blum Hall for the start of MDevEng orientation.
“We’re all coming from different disciplines and communities, and now we’ll learn how to work together,” MDevEng Program Director Yael Perez said to the new cohort to kick off orientation.
The MDevEng program is a 15-month experience merging in-depth technology studies with human development courses to prepare students for careers in social impact, social entrepreneurship, and sustainability. Over three semesters, students engage in technical problem solving, cross-cultural collaboration, and community development, including a summer internship and a final capstone project.
Previous MDevEng students have played a pivotal role in developing solutions to social initiatives across the world, including assessing the effectiveness of health clinics’ off-grid power systems in rural Rwanda; developing FireTools, a platform designed to support local decision-makers in improving disaster preparedness for low-resource communities; and empowering women in English-speaking African countries by offering training in advanced digital skills, helping to boost female employment opportunities in technology fields.
During the reception for the incoming cohort, Blum Chancellor’s Chair in Development Engineering and Professor Kara Nelson offered advice on how to make the most of the three-semester program, drawing from her own career pathway to share her experience with students. Nelson described how she was often told to stick to a single field of study, reflecting on the limitations of engineering programs of the past.
“This program did not exist when I was a student. Professors would meet with me [about my project ideas] and tell me ‘you can’t do that!’ But today, we’re here to tell you that ‘you can do that!’” Nelson said. “You all have your own interests, your own backgrounds, and you know what your vision is. We’re here to support you and help you paint that path.”
Among the cohort, many students share the common goal of applying AI and emerging technologies to create sustainable solutions for improving quality of life. Tang, for instance, aims to develop her skills in supervised machine learning to create technology that can improve the lives of people with disabilities.
“I want to acquire a lot of skills during my time here and use my knowledge about AI and machines to help improve people’s lives,” Tang said. “With the kind of experience this program can offer me, I feel like I can definitely achieve that.”
Throughout orientation, many students vocalized similar aspirations to serve underprivileged communities, among them Pratiyush Singh, a Berkeley graduate who studied civil engineering and is passionate about addressing climate adaptation and water quality issues in India and Africa.
After two years in industry, Singh saw a disconnect between his work and the communities he aimed to serve. This pushed him to apply to the MDevEng program, where he wanted to employ his expertise in a more impactful way. Singh found the program unique in that it allowed him greater control over the kind of projects he would work on, and a focus on practical application rather than traditional learning methods.
“Through this program, I want to learn more about using AI and data to scale technologies for low-resource communities,” he said. “I’m going to continue my past work that focused on addressing water quality challenges, and hopefully I’ll improve along the way.”
During orientation, students participated in an activity where they answered what Development Engineering meant to them using a single word. Common responses displayed on the projector screen included “sustainable,” “solutions,” and “community.” However, Singh’s choice of the word “minority” stood out to the cohort.
“I think of it as justice engineering at the end of the day, because the solutions we’re creating are taken to and impacting minority communities,” Singh explained. “I feel like when you address those problems, it’s a form of social justice.”
Orientation concluded with an alumni panel featuring Morris Chang , Kaavya “Kavi” Reddy , and Kangogo Sogomo from previous MDevEng cohorts, followed by a social mixer that brought together past and current cohorts, as well as MDevEng faculty and staff. It was the first event of its kind for an MDevEng orientation.
Reddy, an alum from the first MDevEng class, invited students interested in working with climate change and government organizations to talk to her during the mixer and exchange ideas. Now working with the science-entrepreneurship nonprofit ACTIVATE, Reddy, who started her own concentration while at Berkeley, encouraged the class to pursue projects they were passionate about.
She concluded with a powerful piece of advice: “Take Development Engineering and make it work for you!”
She elaborated, “If you go out [into the workforce] and you’re not really sure where you fit in [as a DevEnger,] then you’re feeling exactly what you’re supposed to,” Reddy said. “We’re so brand new that we’re bringing this entire discipline to the world.”
Kevin Kung, co-founder of Takachar, began his climate innovation journey at UC Berkeley’s Blum Center through the 2015 Big Ideas Contest. Now hosting California Climate Action Fellows, Takachar helps transform agricultural waste into bioproducts, emphasizing a human-centered approach that addresses environmental challenges and supports underserved communities.
We are thrilled to welcome Dr. Doll as our new lecturer for GPP 115. This course serves students all across campus, introducing them to historical and contemporary debates on addressing poverty and inequality in the world. Dr. Doll’s extensive experience in the disciplines of critical development studies, political ecology, and cultural geography will bring a valuable perspective to this course.
Last month, the Global Poverty and Practice minor’s Class of 2024 celebrated a hard-earned and well-deserved commencement with an intimate ceremony in Sutardja Dai Hall’s Banatao Auditorium.
USAID Digital Workforce Development program, which launched in 2022, has strengthened the information and technology (ICT) skills of Cambodian faculty, developed career centers at their universities, overseen skills training for students, and provided scholarships in the digital and ICT fields, particularly for rural, female students.
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Tsinghua University
Lingyun qiu, zuoqiang shi.
The inverse medium problem, inherently ill-posed and nonlinear, presents significant computational challenges. This study introduces a novel approach by integrating a Neumann series structure within a neural network framework to effectively handle multiparameter inputs. Experiments demonstrate that our methodology not only accelerates computations but also significantly enhances generalization performance, even with varying scattering properties and noisy data. The robustness and adaptability of our framework provide crucial insights and methodologies, extending its applicability to a broad spectrum of scattering problems. These advancements mark a significant step forward in the field, offering a scalable solution to traditionally complex inverse problems.
Keywords: Inverse medium problem, Neural operator, Neumann series, multi-parameter input
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The Center for High Throughput Computing's (CHTC) Research Computing Facilitation team introduces researchers to large-scale computational approaches and enables their use of large-scale computing systems like CHTC's in-house clusters and the Open Science Pool and PATh Facility (operated by the NSF Partnership to Advance Throughput Computing project). This role provides support in many forms, including one-on-one consultation, collaborative problem-solving, documentation and training, and community building. There are also opportunities to provide feedback within collaborating teams to continuously improve the user experience of system features. The preferred applicant will be able to learn unfamiliar technologies and successfully collaborate with their teammates and other teams in the organization. They will also be able to communicate about technical concepts to a general audience, have prior experience and interest in enabling the work of others, and have a desire for continuous learning. New team members will be supported in learning about high-throughput technologies and supporting High-Throughput Computing workloads.
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion
Required Master's Degree with research experience OR a Bachelor's degree with at least 2 years working in a research environment.
Required: - Experience using the Unix shell. - Familiarity with at least one scripting or programming language besides Unix, i.e. Python, or R. - One year of experience in communicating complex research or technical topics to a novice audience, as an instructor, teaching assistant, research computing facilitator, or similar roles. - Demonstrated interest and prior experience in facilitating education of others to enable their work. Preferred: - Teaching experience in a research or compute-intensive area, contributions to computation focused training efforts (for example: Software Carpentry) or experience in research computing facilitation. - Experience and demonstrated interest in teaching, curriculum development, and/or formal communication activities. - Experience and demonstrated interest in community building and mentoring. - Experience using version control software (Git, GitHub, GitLab). - Prior usage of large-scale, batch computing systems. - Familiarity with campus research computing centers/services or the OSG Consortium. - Experience using computation in a research domain, especially climate science, bioinformatics, social sciences or humanities - Significant experience with applications of computing for research purposes. Examples include: Data pipeline development and execution, Installing and running scientific software on Linux, Executing machine learning workloads on GPUs
Full Time: 100% It is anticipated this position requires work be performed in-person, onsite, at a designated campus work location.
Ongoing/Renewable
Minimum $71,994 ANNUAL (12 months) Depending on Qualifications Actual salary will depend on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays and paid time off; competitive insurances and saving accounts; and retirement benefits.
The Center for High Throughput Computing (CHTC) seeks a Research Computing Facilitator to support the goals of a diverse set of researchers who use computing for their research. This is an ideal position for an academic researcher who has used computational approaches in their own work and is strongly motivated to support and empower the work of other researchers through access to large-scale computing resources.
At UW-Madison, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, we encourage you to apply.
Please click on the "Apply Now" button to start the application process. Applications must be submitted by 11:55 pm on the deadline date. To apply, please upload a cover letter and resume. Your cover letter and resume should address how your skills, knowledge, and abilities are transferrable to the qualifications of this role. Additional materials submitted other than your cover letter and resume will not be considered. This position will have a two-step interview process. Once final applicants are identified, they will be asked to provide names and contact information for at least three professional references, including a current/most recent supervisor. We are committed to reducing bias in the recruitment process and utilize a redacted application process, which is the practice of removing personally identifiable information from application materials, before the screening of applicants begins. This may include, but is not limited to, name, gender, age, address, and photos. For questions on the position, contact: Christina Koch, [email protected]
Christina Koch [email protected] 608-316-4041 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Research CI Facilitator II(RE078)
A48-COL OF LETTERS & SCIENCE/COMPUTER SCI/COMP SCI
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COMMENTS
Here are the seven steps of the rational approach: Define the problem. Identify possible causes. Brainstorm options to solve the problem. Select an option. Create an implementation plan. Execute the plan and monitor the results. Evaluate the solution. Read more: Effective Problem Solving Steps in the Workplace.
7. Solution evaluation. 1. Problem identification. The first stage of any problem solving process is to identify the problem (s) you need to solve. This often looks like using group discussions and activities to help a group surface and effectively articulate the challenges they're facing and wish to resolve.
In insight problem-solving, the cognitive processes that help you solve a problem happen outside your conscious awareness. 4. Working backward. Working backward is a problem-solving approach often ...
17 Effective Problem-Solving Strategies. Effective problem-solving strategies include breaking the problem into smaller parts, brainstorming multiple solutions, evaluating the pros and cons of each, and choosing the most viable option. Critical thinking and creativity are essential in developing innovative solutions.
Finding a suitable solution for issues can be accomplished by following the basic four-step problem-solving process and methodology outlined below. Step. Characteristics. 1. Define the problem. Differentiate fact from opinion. Specify underlying causes. Consult each faction involved for information. State the problem specifically.
10 effective problem-solving strategies. There are many different ways to approach problem-solving. Each is suitable for different types of problems. The most appropriate problem-solving techniques will depend on your specific problem. You may need to experiment with several strategies before you find a workable solution.
Become a better problem solver with insights and advice from leaders around the world on topics including developing a problem-solving mindset, solving problems in uncertain times, problem solving with AI, and much more. ... Click "Accept all cookies" to proceed as specified, or click "Manage my preferences" to choose the types of ...
Creative problem solving (CPS) is a method of problem solving in which you approach a problem or challenge in an imaginative, innovative way. The goal of CPS is to come up with innovative solutions, make a decision, and take action quickly. Sidney Parnes and Alex Osborn are credited with developing the creative problem solving process in the 1950s.
The 7 steps to problem-solving. When it comes to problem-solving there are seven key steps that you should follow: define the problem, disaggregate, prioritize problem branches, create an analysis plan, conduct analysis, synthesis, and communication. 1. Define the problem. Problem-solving begins with a clear understanding of the issue at hand.
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 ...
Several mental processes are at work during problem-solving. Among them are: Perceptually recognizing the problem. Representing the problem in memory. Considering relevant information that applies to the problem. Identifying different aspects of the problem. Labeling and describing the problem.
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 ...
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 ...
14 types of problem-solving strategies. Here are some examples of problem-solving strategies you can practice using to see which works best for you in different situations: 1. Define the problem. Taking the time to define a potential challenge can help you identify certain elements to create a plan to resolve them.
In our 2013 classic from the Quarterly, senior partner Olivier Leclerc highlights the value of taking a number of different approaches simultaneously to solve difficult problems. Read on to discover the five flexons, or problem-solving languages, that can be applied to the same problem to generate richer insights and more innovative solutions.
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:
These problem solving approaches can help you think more critically and creatively about any problem: Dig deep. You may not feel like you have the right expertise to resolve a specific problem. Don't let that stop you from tackling it. The best problem solvers become students of the problem at hand. Even if you don't have particular ...
How to Solve Problems. To bring the best ideas forward, teams must build psychological safety. Teams today aren't just asked to execute tasks: They're called upon to solve problems. You'd ...
modern problem-solving approaches, which you will find in Chapter 1. This summary of problem-solving influences will help you understand and better leverage all problem-solving tools. • Types of problem solving: There are essentially four different types of problems that require four different types of problem solving. We explain
Collective problem solving on the international level crystallized around these three types of organization from the 1980s onward. As these global institutions remain state-like or state-centric it is unsurprising that they perpetuate state-like or state-centric approaches to collective problem solving rather than alternative ones. [91]
It is classic inconsistent-type behavior to lose time dithering between all three ideas, lost in indecision. Instead, write them down in a chart. Then, give each one a score out of 5 according to its strength in whatever categories are relevant to the problem. For example, expense, time, elegance, effort.
Depending on the issue and situation, you'll need to use different types of problem-solving strategies," she says. Using Techniques. ... Each color hat signifies a different approach that can be utilized in the problem-solving process, ranging from logic to feelings to creativity and beyond. This method allows organizations to view problems ...
The Blum Center for Developing Economies leverages the talent, enthusiasm, and energy of the University of California, Berkeley community to address the grand challenge of global poverty. Our interdisciplinary problem-solving approach draws on students and faculty dedicated to facing this challenge through innovative initiatives, education, and research.
The inverse medium problem, inherently ill-posed and nonlinear, presents significant computational challenges. This study introduces a novel approach by integrating a Neumann series structure within a neural network framework to effectively handle multiparameter inputs.
Bregman distance methods play a key role in solving problems in nonlinear analysis and optimization theory, since the Bregman distance is a useful substitute for the metric. The main purpose of this paper is to investigate two new iterative algorithms based on the Bregman distance and the Bregman projection for solving split feasibility ...
Job Summary: The Center for High Throughput Computing's (CHTC) Research Computing Facilitation team introduces researchers to large-scale computational approaches and enables their use of large-scale computing systems like CHTC's in-house clusters and the Open Science Pool and PATh Facility (operated by the NSF Partnership to Advance Throughput Computing project). This role provides support in ...