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Nine essential problem solving tools: The ultimate guide to finding a solution

October 26, 2023 by MindManager Blog

Problem solving may unfold differently depending on the industry, or even the department you work in. However, most agree that before you can fix any issue, you need to be clear on what it is, why it’s happening, and what your ideal long-term solution will achieve.

Understanding both the nature and the cause of a problem is the only way to figure out which actions will help you resolve it.

Given that most problem-solving processes are part inspiration and part perspiration, you’ll be more successful if you can reach for a problem solving tool that facilitates collaboration, encourages creative thinking, and makes it easier to implement the fix you devise.

The problem solving tools include three unique categories: problem solving diagrams, problem solving mind maps, and problem solving software solutions.

They include:

Fishbone diagrams
Strategy maps
Mental maps
Concept maps
Layered process audit software
Charting software
MindManager

In this article, we’ve put together a roundup of versatile problem solving tools and software to help you and your team map out and repair workplace issues as efficiently as possible.

Let’s get started!

Problem solving diagrams

Mapping your way out of a problem is the simplest way to see where you are, and where you need to end up.

Not only do visual problem maps let you plot the most efficient route from Point A (dysfunctional situation) to Point B (flawless process), problem mapping diagrams make it easier to see:

The root cause of a dilemma.
The steps, resources, and personnel associated with each possible solution.
The least time-consuming, most cost-effective options.

A visual problem solving process help to solidify understanding. Furthermore, it’s a great way for you and your team to transform abstract ideas into a practical, reconstructive plan.

Here are three examples of common problem mapping diagrams you can try with your team:

1. Fishbone diagrams

Fishbone diagrams are a common problem solving tool so-named because, once complete, they resemble the skeleton of a fish.

With the possible root causes of an issue (the ribs) branching off from either side of a spine line attached to the head (the problem), dynamic fishbone diagrams let you:

Lay out a related set of possible reasons for an existing problem
Investigate each possibility by breaking it out into sub-causes
See how contributing factors relate to one another

Fishbone diagrams are also known as cause and effect or Ishikawa diagrams.

2. Flowcharts

A flowchart is an easy-to-understand diagram with a variety of applications. But you can use it to outline and examine how the steps of a flawed process connect.

Made up of a few simple symbols linked with arrows indicating workflow direction, flowcharts clearly illustrate what happens at each stage of a process – and how each event impacts other events and decisions.

3. Strategy maps

Once you’ve got a few tactics you feel are worth exploring as possible ways to overcome a challenge, a strategy map will help you establish the best route to your problem-solving goal.

Problem solving mind maps

Problem solving mind maps are especially valuable in visualization. Because they facilitate the brainstorming process that plays a key role in both root cause analysis and the identification of potential solutions, they help make problems more solvable.

Mind maps are diagrams that represent your thinking. Since many people struggle taking or working with hand-written or typed notes, mind maps were designed to let you lay out and structure your thoughts visually so you can play with ideas, concepts, and solutions the same way your brain does.

By starting with a single notion that branches out into greater detail, problem solving mind maps make it easy to:

Explain unfamiliar problems or processes in less time
Share and elaborate on novel ideas
Achieve better group comprehension that can lead to more effective solutions

Mind maps are a valuable problem solving tool because they’re geared toward bringing out the flexible thinking that creative solutions require. Here are three types of problem solving mind maps you can use to facilitate the brainstorming process.

4. Mental maps

A mental map helps you get your thoughts about what might be causing a workplace issue out of your head and onto a shared digital space.

Because mental maps mirror the way our brains take in and analyze new information, using them to describe your theories visually will help you and your team work through and test those thought models.

5. Idea maps

Idea maps let you take advantage of a wide assortment of colors and images to lay down and organize your scattered thought process. Idea maps are ideal brainstorming tools because they allow you to present and explore ideas about the best way to solve a problem collaboratively, and with a shared sense of enthusiasm for outside-the-box thinking.

6. Concept maps

Concept maps are one of the best ways to shape your thoughts around a potential solution because they let you create interlinked, visual representations of intricate concepts.

By laying out your suggested problem-solving process digitally – and using lines to form and define relationship connections – your group will be able to see how each piece of the solution puzzle connects with another.

Problem solving software solutions

Problem solving software is the best way to take advantage of multiple problem solving tools in one platform. While some software programs are geared toward specific industries or processes – like manufacturing or customer relationship management, for example – others, like MindManager , are purpose-built to work across multiple trades, departments, and teams.

Here are three problem-solving software examples.

7. Layered process audit software

Layered process audits (LPAs) help companies oversee production processes and keep an eye on the cost and quality of the goods they create. Dedicated LPA software makes problem solving easier for manufacturers because it helps them see where costly leaks are occurring and allows all levels of management to get involved in repairing those leaks.

8. Charting software

Charting software comes in all shapes and sizes to fit a variety of business sectors. Pareto charts, for example, combine bar charts with line graphs so companies can compare different problems or contributing factors to determine their frequency, cost, and significance. Charting software is often used in marketing, where a variety of bar charts and X-Y axis diagrams make it possible to display and examine competitor profiles, customer segmentation, and sales trends.

9. MindManager

No matter where you work, or what your problem-solving role looks like, MindManager is a problem solving software that will make your team more productive in figuring out why a process, plan, or project isn’t working the way it should.

Once you know why an obstruction, shortfall, or difficulty exists, you can use MindManager’s wide range of brainstorming and problem mapping diagrams to:

Find the most promising way to correct the situation
Activate your chosen solution, and
Conduct regular checks to make sure your repair work is sustainable

MindManager is the ultimate problem solving software.

Not only is it versatile enough to use as your go-to system for puzzling out all types of workplace problems, MindManager’s built-in forecasting tools, timeline charts, and warning indicators let you plan, implement, and monitor your solutions.

By allowing your group to work together more effectively to break down problems, uncover solutions, and rebuild processes and workflows, MindManager’s versatile collection of problem solving tools will help make everyone on your team a more efficient problem solver.

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What Is Problem Solving? How Software Engineers Approach Complex Challenges

From debugging an existing system to designing an entirely new software application, a day in the life of a software engineer is filled with various challenges and complexities. The one skill that glues these disparate tasks together and makes them manageable? Problem solving .

Throughout this blog post, we’ll explore why problem-solving skills are so critical for software engineers, delve into the techniques they use to address complex challenges, and discuss how hiring managers can identify these skills during the hiring process.

What Is Problem Solving?

But what exactly is problem solving in the context of software engineering? How does it work, and why is it so important?

Problem solving, in the simplest terms, is the process of identifying a problem, analyzing it, and finding the most effective solution to overcome it. For software engineers, this process is deeply embedded in their daily workflow. It could be something as simple as figuring out why a piece of code isn’t working as expected, or something as complex as designing the architecture for a new software system.

In a world where technology is evolving at a blistering pace, the complexity and volume of problems that software engineers face are also growing. As such, the ability to tackle these issues head-on and find innovative solutions is not only a handy skill — it’s a necessity.

The Importance of Problem-Solving Skills for Software Engineers

Problem-solving isn’t just another ability that software engineers pull out of their toolkits when they encounter a bug or a system failure. It’s a constant, ongoing process that’s intrinsic to every aspect of their work. Let’s break down why this skill is so critical.

Driving Development Forward

Without problem solving, software development would hit a standstill. Every new feature, every optimization, and every bug fix is a problem that needs solving. Whether it’s a performance issue that needs diagnosing or a user interface that needs improving, the capacity to tackle and solve these problems is what keeps the wheels of development turning.

It’s estimated that 60% of software development lifecycle costs are related to maintenance tasks, including debugging and problem solving. This highlights how pivotal this skill is to the everyday functioning and advancement of software systems.

Innovation and Optimization

The importance of problem solving isn’t confined to reactive scenarios; it also plays a major role in proactive, innovative initiatives . Software engineers often need to think outside the box to come up with creative solutions, whether it’s optimizing an algorithm to run faster or designing a new feature to meet customer needs. These are all forms of problem solving.

Consider the development of the modern smartphone. It wasn’t born out of a pre-existing issue but was a solution to a problem people didn’t realize they had — a device that combined communication, entertainment, and productivity into one handheld tool.

Increasing Efficiency and Productivity

Good problem-solving skills can save a lot of time and resources. Effective problem-solvers are adept at dissecting an issue to understand its root cause, thus reducing the time spent on trial and error. This efficiency means projects move faster, releases happen sooner, and businesses stay ahead of their competition.

Improving Software Quality

Problem solving also plays a significant role in enhancing the quality of the end product. By tackling the root causes of bugs and system failures, software engineers can deliver reliable, high-performing software. This is critical because, according to the Consortium for Information and Software Quality, poor quality software in the U.S. in 2022 cost at least $2.41 trillion in operational issues, wasted developer time, and other related problems.

Problem-Solving Techniques in Software Engineering

So how do software engineers go about tackling these complex challenges? Let’s explore some of the key problem-solving techniques, theories, and processes they commonly use.

Decomposition

Breaking down a problem into smaller, manageable parts is one of the first steps in the problem-solving process. It’s like dealing with a complicated puzzle. You don’t try to solve it all at once. Instead, you separate the pieces, group them based on similarities, and then start working on the smaller sets. This method allows software engineers to handle complex issues without being overwhelmed and makes it easier to identify where things might be going wrong.

Abstraction

In the realm of software engineering, abstraction means focusing on the necessary information only and ignoring irrelevant details. It is a way of simplifying complex systems to make them easier to understand and manage. For instance, a software engineer might ignore the details of how a database works to focus on the information it holds and how to retrieve or modify that information.

Algorithmic Thinking

At its core, software engineering is about creating algorithms — step-by-step procedures to solve a problem or accomplish a goal. Algorithmic thinking involves conceiving and expressing these procedures clearly and accurately and viewing every problem through an algorithmic lens. A well-designed algorithm not only solves the problem at hand but also does so efficiently, saving computational resources.

Parallel Thinking

Parallel thinking is a structured process where team members think in the same direction at the same time, allowing for more organized discussion and collaboration. It’s an approach popularized by Edward de Bono with the “ Six Thinking Hats ” technique, where each “hat” represents a different style of thinking.

In the context of software engineering, parallel thinking can be highly effective for problem solving. For instance, when dealing with a complex issue, the team can use the “White Hat” to focus solely on the data and facts about the problem, then the “Black Hat” to consider potential problems with a proposed solution, and so on. This structured approach can lead to more comprehensive analysis and more effective solutions, and it ensures that everyone’s perspectives are considered.

This is the process of identifying and fixing errors in code . Debugging involves carefully reviewing the code, reproducing and analyzing the error, and then making necessary modifications to rectify the problem. It’s a key part of maintaining and improving software quality.

Testing and Validation

Testing is an essential part of problem solving in software engineering. Engineers use a variety of tests to verify that their code works as expected and to uncover any potential issues. These range from unit tests that check individual components of the code to integration tests that ensure the pieces work well together. Validation, on the other hand, ensures that the solution not only works but also fulfills the intended requirements and objectives.

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Evaluating Problem-Solving Skills

We’ve examined the importance of problem-solving in the work of a software engineer and explored various techniques software engineers employ to approach complex challenges. Now, let’s delve into how hiring teams can identify and evaluate problem-solving skills during the hiring process.

Recognizing Problem-Solving Skills in Candidates

How can you tell if a candidate is a good problem solver? Look for these indicators:

Previous Experience: A history of dealing with complex, challenging projects is often a good sign. Ask the candidate to discuss a difficult problem they faced in a previous role and how they solved it.
Problem-Solving Questions: During interviews, pose hypothetical scenarios or present real problems your company has faced. Ask candidates to explain how they would tackle these issues. You’re not just looking for a correct solution but the thought process that led them there.
Technical Tests: Coding challenges and other technical tests can provide insight into a candidate’s problem-solving abilities. Consider leveraging a platform for assessing these skills in a realistic, job-related context.

Assessing Problem-Solving Skills

Once you’ve identified potential problem solvers, here are a few ways you can assess their skills:

Solution Effectiveness: Did the candidate solve the problem? How efficient and effective is their solution?
Approach and Process: Go beyond whether or not they solved the problem and examine how they arrived at their solution. Did they break the problem down into manageable parts? Did they consider different perspectives and possibilities?
Communication: A good problem solver can explain their thought process clearly. Can the candidate effectively communicate how they arrived at their solution and why they chose it?
Adaptability: Problem-solving often involves a degree of trial and error. How does the candidate handle roadblocks? Do they adapt their approach based on new information or feedback?

Hiring managers play a crucial role in identifying and fostering problem-solving skills within their teams. By focusing on these abilities during the hiring process, companies can build teams that are more capable, innovative, and resilient.

Key Takeaways

As you can see, problem solving plays a pivotal role in software engineering. Far from being an occasional requirement, it is the lifeblood that drives development forward, catalyzes innovation, and delivers of quality software.

By leveraging problem-solving techniques, software engineers employ a powerful suite of strategies to overcome complex challenges. But mastering these techniques isn’t simple feat. It requires a learning mindset, regular practice, collaboration, reflective thinking, resilience, and a commitment to staying updated with industry trends.

For hiring managers and team leads, recognizing these skills and fostering a culture that values and nurtures problem solving is key. It’s this emphasis on problem solving that can differentiate an average team from a high-performing one and an ordinary product from an industry-leading one.

At the end of the day, software engineering is fundamentally about solving problems — problems that matter to businesses, to users, and to the wider society. And it’s the proficient problem solvers who stand at the forefront of this dynamic field, turning challenges into opportunities, and ideas into reality.

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Leanne Armstrong

May 17, 2021

9 Essential Problem Solving Tools: The Ultimate Guide

Problem solving studies have suggested that the average business professional spends 3 hours every week solving work-related problems!

Problem solving may unfold differently depending on the industry, or even the department you work in. But most of us will agree that before you can fix any issue, you need to be clear on what it is, why it’s happening, and what your ideal long-term solution will achieve.

Understanding both the nature and the cause of a problem is the only way to figure out which actions will help you resolve it.

And given that most problem-solving processes are part inspiration, part perspiration, you’ll be more successful, more often, if you can reach for a problem solving tool that facilitates collaboration, encourages creative thinking, and makes it easier to implement the fix you devise.

We’ve put together this roundup of versatile problem solving tools and software to help you and your team map out and repair workplace issues as efficiently as possible. The problem solving tools include three unique categories: problem solving diagrams, problem solving mind maps, and problem solving software solutions. They include:

Fishbone diagrams
Strategy maps
Mental maps
Concept maps
Layered process audit software
Charting software
MindManager

Let’s get started!

[Free Webinar] Lean Six Sigma: What it is and why you’ll want to use it on your next project

Problem solving diagrams

Mapping your way out of a problem is the simplest way to see where you are, and where you need to end up.

Not only do visual problem maps let you plot the most efficient route from Point A (dysfunctional situation) to Point B (flawless process), problem mapping diagrams make it easier to see:

The root cause of a dilemma
Steps, resources, and personnel associated with each possible solution
The least time-consuming, most cost-effective options

A visual problem solving process help to solidify understanding and are a great way for you and your team to transform abstract ideas into a practical, reconstructive plan.

Here are three examples of common problem mapping diagrams you can try with your team.

1. Fishbone diagrams

Fishbone diagrams are a common problem solving tool so-named because, once complete, they resemble the skeleton of a fish.

With the possible root causes of an issue (the ribs) branching off from either side of a spine line attached to the head (the problem), dynamic fishbone diagrams let you:

Lay out a related set of possible reasons for an existing problem
Investigate each possibility by breaking it out into sub-causes
See how contributing factors relate to one another

Fishbone diagrams are also known as cause and effect or Ishikawa diagrams.

2. Flowcharts

A flowchart is an easy-to-understand diagram with a variety of applications. But you can use it to outline and examine how the steps of a flawed process connect. Made up of a few simple symbols linked with arrows indicating workflow direction, flowcharts clearly illustrate what happens at each stage of a process – and how each event impacts other events and decisions.

3. Strategy maps

Frequently used as a strategic planning tool , strategy maps also work well as problem mapping diagrams. Based on a hierarchal system, thoughts and ideas can be arranged on a single page to flesh out a potential resolution. Once you’ve got a few tactics you feel are worth exploring as possible ways to overcome a challenge, a strategy map will help you establish the best route to your problem-solving goal.

9 Essential Problem Solving Tools: The Ultimate Guide

Problem solving mind maps

By starting with a single notion that branches out into greater detail, problem solving mind maps make it easy to:

Explain unfamiliar problems or processes in less time
Share and elaborate on novel ideas
Achieve better group comprehension that can lead to more effective solutions

4. Mental maps

A mental map helps you get your thoughts about what might be causing a workplace issue out of your head and onto a shared digital space. Because mental maps mirror the way our brains take in and analyze new information, using them to describe your theories visually will help you and your team work through and test those thought models.

5. Idea maps

6. Concept maps

Concept maps are one of the best ways to shape your thoughts around a potential solution because they let you create interlinked, visual representations of intricate concepts. By laying out your suggested problem-solving process digitally – and using lines to form and define relationship connections – your group will be able to see how each piece of the solution puzzle connects with another.

Problem solving software solutions

Here are three problem-solving software examples.

7. Layered process audit software

8. Charting software

9. MindManager

Once you know why an obstruction, shortfall, or difficulty exists, you can use MindManager’s wide range of brainstorming and problem mapping diagrams to:

Find the most promising way to correct the situation
Activate your chosen solution, and
Conduct regular checks to make sure your repair work is sustainable

MindManager is the ultimate problem solving software .

Lean Six Sigma is one powerful problem solving and efficiency auditing technique that can be accomplished using MindManager. Watch this webinar for a full overview of what Lean Six Sigma is, and how MindManager fits into the process.

Find more great content here !

5 steps to problem solving proficiency
9 problem solving tools you should be using with your team

Armstrong, L. (2021). 9 Essential Problem Solving Tools: The Ultimate Guide. Available at: https://blog.mindmanager.com/blog/2020/07/202007problem-solving-tools/ [Accessed: 11th May 2021].

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The Ultimate Guide to Problem Solving Tools

Ossian Muscad
March 10, 2022
No Comments

Last Updated on February 29, 2024 by Ossian Muscad

Every business, regardless of its industry, encounters the inevitable challenge of problem-solving. This critical aspect of business operations is often multifaceted, whether it’s in the process of anticipating potential obstacles, addressing immediate issues at hand, or refining systems for improved efficiency. The intricate and often time-intensive nature of solving these problems demands not only a systematic approach but also the right set of tools to navigate the complexities effectively.

Problem-solving tools are, therefore, not just useful but essential for any business professional. This guide delves into the intricacies of these tools, equipping you with the necessary understanding and skills to employ them within your organizational context. From the nuances of selecting the appropriate tool for a specific challenge to the strategic implementation for maximum impact, we offer a comprehensive exploration into the world of problem-solving tools designed to streamline and enhance your decision-making processes.

What are Problem Solving Tools?

Problem-solving tools are structured methodologies or frameworks designed to aid individuals and organizations in navigating the complexities of various challenges. They offer a systematic way to deconstruct and comprehend issues, thereby empowering you to tackle each component with clarity and strategic insight. These tools serve as a kind of compass in the intricate maze of decision-making, providing a step-by-step guide to dissect problems and identify their underlying causes.

By enabling focused brainstorming, these methodologies help in the generation and assessment of potential resolutions, ensuring that the execution of solutions is not only strategic but also monitored for effectiveness. Diverse in their application, problem-solving tools adapt to a range of scenarios, each with its distinct intricacies and nuances. They encourage a proactive approach to conflict resolution, fostering a mindset geared towards continual improvement and preemptive action.

Utilizing visual aids like charts or diagrams, these tools can chart the most efficient path from a problem-ridden present to a solution-oriented future, mapping out the journey from dysfunction to functional success in a clear and accessible manner.

Common Problem Solving Tools and Diagrams

A visual problem-solving process will help reinforce your understanding of the issue and is an excellent way for you and your team to convert abstract ideas into an actual, reconstructive plan. With that said, here are six examples of common problem-mapping diagrams that you can try:

Fishbone Diagram

The Fishbone Diagram , also known as the Cause-and-effect Diagram or the Ishikawa diagram , is a powerful problem-solving tool that visually maps out the potential causes of an issue. Its distinctive shape resembles the skeleton of a fish, where the “head” represents the problem and the “bones” branching out from the “spine” symbolize different categories of root causes.

Each of these categories, such as Methods, Equipment, People, and Materials, is probed to identify possible contributing factors to the problem at hand. The simplicity and effectiveness of the Ishikawa diagram lie in its ability to facilitate comprehensive brainstorming sessions based on the principle of cause and effect.

With its widespread popularity, teams across industries value this type of diagram for its ease of use and its competence in stimulating the identification and analysis of various potential causes for a problem. Fishbone diagrams are versatile tools that can be applied in numerous situations. Here’s a comprehensive list detailing common uses:

Root Cause Analysis in Manufacturing : Identifying the root causes of defects or product quality issues, often drilling down to factors in the production process.
Service Industry Problem-Solving : Pinpointing causes of customer complaints or service bottlenecks, leading to more effective service delivery.
Healthcare Error Analysis : Analyzing medical errors or healthcare process inefficiencies, aiming to improve patient care and safety.
Product Development : Exploring potential issues in new product design and development phases, ensuring all possible flaws are addressed.
Business Process Improvement : Examining processes within a business to identify inefficiencies or recurrent problems, which can then be systematically eliminated.
Marketing Analysis : Understanding complex challenges within marketing campaigns, such as low engagement rates or poor customer feedback.
Human Resources Issues : Addressing issues relating to staff, such as absenteeism, low morale, or high turnover, with an aim to enhance employee satisfaction and retention.

Flowcharts are among the most prevalent and straightforward problem-solving tools utilized across various industries due to their visual representation of processes or systems. They consist of shapes and arrows that designate sequential steps, illustrating the flow from one stage to another. This visual mapping allows individuals and teams to follow a problem from initiation to resolution, providing a bird’s-eye view of the entire process.

The primary advantage of employing a flowchart lies in its capacity to lay out each step in a predictable manner, thereby enabling the observer to identify bottlenecks, redundancies, or inefficiencies within any step. By using flowcharts, you can dissect complex processes into manageable parts, ensuring a more precise understanding of how each component interacts with others.

This comprehensive perspective not only aids in pinpointing where the issues arise but also enhances the potential for optimizing different segments of the workflow to achieve a more efficient, streamlined process. Flowcharts are a universal tool used to break down complex processes and illustrate step-by-step sequences. Common uses for flowcharts that span across various disciplines include, but are not limited to:

Process Documentation : For capturing and communicating the steps involved in a process within an organization, ensuring consistency and clarity.
Troubleshooting Guides : A diagnostic tool to guide users through a series of decisions to resolve a problem or understand a complex scenario.
Operational Improvement : To identify inefficiencies or bottlenecks in operational processes and pinpoint areas for improvement or simplification.
Educational Tool : Utilized in teaching to explain complex topics in a visual, step-by-step manner that is easier for students to follow and understand.
Decision Making : Aids individuals and businesses by mapping out the possible routes and outcomes of a decision, making the decision-making process clearer and more informed.
Quality Management : Helps in ensuring compliance with quality standards by outlining the process flow and establishing critical control points.
System Design : In systems engineering, it represents the interactions and flow between various system components or subsystems.
Project Management : Project managers often use flowcharts to plan and monitor the stages of a project, ensuring that each phase transitions smoothly into the next.

Strategy Maps

Strategy Maps are a frequently used tool for strategic planning within companies, but they also hold significant value in problem-solving tasks. The essence of a strategy map is to illustrate the connections among various aspects of the organization, such as objectives, measures, initiatives, and activities. These diagrams provide a visual representation of how each component supports the overarching goals and serve as a guide to understanding which areas require attention in order to solve a problem. There are three main types of strategy maps:

Cause-and-effect maps : Demonstrating the relationships between different strategic objectives. Each objective is linked by arrows that show how one influences another, creating a network of cause-and-effect connections.
Objective Maps : Focused on detailing the primary objectives of the organization and outlining the necessary measures and initiatives to achieve each one.
Balanced Scorecard Maps : They correspond to the Balanced Scorecard framework and display the organization’s strategy balanced across four perspectives: Financial, Customer, Internal Processes, and Learning & Growth.

While each type of map has its specific applications and nuances, the underlying premise remains constant: to provide a comprehensive view of the strategic interdependencies within an organization. In doing so, strategy maps facilitate the identification of areas where resources can be optimized or where shifts in strategy may resolve existing problems.

Strategy Maps enable leaders and teams to align their efforts toward a common goal and to comprehend how changes in one segment of the business can ripple through and impact the organization as a whole. Strategy Maps are incredibly versatile and can be applied to a number of uses within an organization to enhance strategic understanding and alignment. Below is a detailed list of the common uses of Strategy Maps:

Vision and Strategy Communication : Strategy Maps articulate an organization’s vision and strategy across various levels, ensuring all employees understand how their roles contribute to the broader objectives.
Aligning Initiatives : They align projects and initiatives with strategic objectives, ensuring that each effort is coherent with the overall direction of the company.
Performance Analysis : These maps facilitate performance measurement against strategic goals, allowing companies to track progress and make informed adjustments.
Business Unit Synchronization : They offer a holistic view that aids in synchronizing efforts across different business units or departments, fostering an integrated approach to achieving strategic goals.
Strategic Discussion and Decision Making : Strategy Maps stimulate discussion among executives and managers, providing a framework for strategic decision-making and problem-solving.
Identifying and Closing Gaps : They help identify gaps in strategy execution and provide a structured way of developing initiatives to close those gaps.
Facilitating Strategy Review and Planning Sessions : Strategy Maps are used during strategy review meetings and planning sessions to reflect on strategic performance and plan for future periods.

The 5 Whys is a problem-solving method developed by Sakichi Toyoda and later used within Toyota Motor Corporation during its manufacturing process improvements. It is a simple yet effective technique used to uncover the root cause of a problem by asking “Why?” a minimum of five times or until the underlying issue is identified.

The process involves a team collaboratively pinpointing an issue and then questioning the cause of that issue iteratively. This exercise forces deeper inquiry beyond surface-level symptoms, leading to the discovery of the fundamental problem at hand. By addressing the root cause, organizations can implement substantive, long-term solutions rather than temporary fixes.

The 5 Whys technique is versatile and can be applied in various industries and scenarios, making it a staple in the toolbox of lean manufacturing, quality management, and process improvement. The 5 Whys technique has a multitude of applications across different fields and industries due to its simplicity and effectiveness in root cause analysis. Here is a comprehensive list detailing seven common uses of the 5 Whys:

Problem-Solving in Manufacturing : Applied to identify the root cause of defects or production issues, contributing to improved product quality and process optimization.
Safety Incident Analysis : Used to dissect the series of events leading to a safety incident, allowing organizations to implement measures that prevent future occurrences.
Healthcare Error Reduction : Helps in understanding the underlying causes of errors in medical procedures or patient care, aiming to enhance patient safety and care quality.
IT Troubleshooting : Assists in diagnosing the core issues in IT service disruptions or system failures, ensuring more reliable and efficient technological infrastructures.
Business Process Improvement : Employs the technique to delve into inefficiencies or bottlenecks in business operations, resulting in streamlined processes and reduced operational costs.
Customer Experience Enhancement : Identifies the fundamental reasons behind customer complaints or dissatisfaction, leading to better service and elevated customer satisfaction levels.
Environmental Sustainability : Applied to analyze the root causes of environmental impact within an operation, informing strategies for more sustainable business practices.

Pareto Charts

Pareto charts are statistical tools named after the Italian economist Vilfredo Pareto, who is best known for the Pareto Principle. This principle, also known as the 80/20 rule, posits that for many events, roughly 80% of the effects come from 20% of the causes. A Pareto Chart conveys this concept through a visual graph that combines both bar and line graphs.

The bars represent individual values in descending order from left to right and are typically related to frequency or cost. Next to these, a line graph indicates the cumulative total, enabling users to easily identify which factors contribute the most to the problem they are examining. Pareto Charts are especially useful in quality control and process improvement because they help stakeholders prioritize issues or defects in a process.

By concentrating efforts on the most significant problems, organizations can significantly improve their overall performance, often with considerably less effort than by treating all problems equally. Pareto Charts are widely recognized for their ability to visually represent and prioritize problems to focus improvement efforts. Here are seven common uses of Pareto Charts across various disciplines:

Quality Control in Manufacturing : Helps identify the most frequent defects or errors in the manufacturing process, allowing prioritization and allocation of resources to tackle the issues that will have the greatest impact on quality improvement.
Customer Feedback Analysis : By categorizing and ranking customer complaints or feedback, businesses can focus on resolving the problems that affect the largest number of customers or those that have the most severe impact on customer satisfaction.
Inventory Management : The use of Pareto Charts can highlight the small proportion of items that often constitute the bulk of an inventory’s value, enabling better stock optimization and cost savings.
Sales Analysis : Assists companies in determining their most profitable products or services, as well as their most valuable customers, thus guiding more effective sales and marketing strategies.
Health and Safety : Identifies the most common causes of accidents or health incidents in the workplace, leading to targeted interventions that can improve worker safety and reduce the risk of future incidents.
Operational Bottlenecks : Pinpoints the few critical bottlenecks in operational processes that cause the majority of delays or inefficiencies, allowing for focused process improvement efforts.
Financial Analysis : Enables businesses to target the most significant cost drivers or the areas where spending is greatest, promoting more strategic financial management and cost reduction measures.

Decision Trees

A decision tree is a flowchart-like structure that is used as a decision support tool, representing a series of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It’s a visual representation that maps out multiple decision paths and evaluates them based on various scenarios, which can be immensely beneficial in making informed choices in complex situations.

Decision trees feature branches that depict decision nodes and leaf nodes representing outcomes, allowing individuals or organizations to review all possible solutions and identify the best course of action before committing. This analytical tool is widely used across business, engineering, law, and medical fields due to its straightforward graphical approach, which promotes clarity in the decision-making process.

Decision Trees are versatile tools, and their application can be found in diverse areas. By exploring different scenarios and their potential outcomes, you can uncover hidden insights and make more informed decisions. Here are some common uses of Decision Trees:

Strategic Business Decisions : Enables businesses to visually map out various strategic choices and assess potential outcomes and risks, leading to well-informed decisions.
Project Management : Assists managers in anticipating potential project challenges and outcomes, allowing for proactive mitigation strategies and better allocation of resources.
Finance and Investment : Used by investors to evaluate different investment opportunities and scenarios, aiding in the risk assessment and decision-making process.
Operations Research : Helps determine optimal operational decisions based on various conditional and probabilistic scenarios, improves efficiency, and reduces costs.
Marketing Analysis : Allows marketers to understand customer behavior and segment markets, facilitating targeted marketing campaigns and customer relationship management.
Medical Diagnosis and Treatment Planning : Helps healthcare providers in assessing the probability of diseases based on symptoms and deciding on the best treatment plans.
Machine Learning and Data Mining : Provides algorithms that assist in classification and regression tasks, making predictions based on data patterns.

Objective Map

An objective map is a strategic tool utilized by companies to visualize their objectives and the connections between them. This graphical illustration aids in clarifying how various goals relate to one another and often reveals how addressing one objective can influence the achievement of others.

By mapping out objectives in a clear and structured way, an objective map enables team members and stakeholders to gain insight into the hierarchy and interdependencies of their collective goals. It’s particularly valuable when trying to solve complex problems within an organization, as it helps to pinpoint which objectives need to be prioritized and tackled in order to address and resolve specific challenges effectively.

This visual mapping can become a critical step in strategic planning, ensuring that efforts are directed toward the most impactful areas. Objective Maps are crucial in a multitude of organizational processes. Here are seven common uses:

Strategic Planning : Assists organizations in identifying their primary goals and exploring secondary objectives that support them. By understanding the impact and relationship between different aims, companies can better allocate resources to critical areas.
Performance Management : Helps translate organizational goals into employee performance metrics, ensuring individual objectives are aligned with the company’s vision and mission.
Process Improvement : Provides a framework to identify processes that are directly tied to strategic goals, which can be optimized for better efficiency and results.
Product Development : Clarifies the objectives surrounding a product’s features, market fit, and customer needs, making it a valuable tool in prioritizing development milestones.
Change Management : Aids in visualizing the objectives tied to organizational change, helping stakeholders see the bigger picture and the key goals that change initiatives support.
Resource Allocation : By clarifying which objectives are most critical, Objective Maps guide decision-makers in allocating budget, personnel, and other resources more effectively.
Risk Management : Facilitates the identification of goals that could be impacted by potential risks, allowing for a proactive approach to mitigating threats to the organization’s objectives.

Balanced Scorecard Map

A Balanced Scorecard Map is a strategic planning and management tool that provides a visual representation of an organization’s performance measures and objectives across different perspectives. It brings together financial, customer, internal, and growth-related goals in a coherent manner, articulating how the organization creates value.

By identifying key performance indicators (KPIs) and targets within these areas, the map serves as a guide to translate a company’s vision into actionable goals. It allows managers and teams to understand at a glance how various objectives tie into overall corporate strategy and how they contribute to resolving organizational issues.

With its clear, graphical design, a Balanced Scorecard Map can highlight specific areas that require attention to drive improvement and achieve strategic balance. Balanced Scorecard Maps are used widely across various industries to enhance strategic alignment and improve organizational performance. Here is a comprehensive list detailing their common uses:

Strategic Alignment & Execution : Aligns the day-to-day work that everyone is doing with strategy, making sure that projects, initiatives, and daily activities all move in the same direction as the organization’s strategic objectives.
Performance Measurement : Goes beyond financial metrics to include valuable KPIs concerning customers, internal processes, and learning and growth, thus providing a more ‘balanced’ view of organizational performance.
Communication of Strategy : Acts as a vehicle to communicate the organization’s strategy internally and externally clearly and concisely, ensuring that everyone understands the strategic priorities and how their roles impact them.
Linking Rewards to Performance Metrics : Ties performance management to KPIs and strategic goals, which can inform compensation and reward systems that motivate employees to support and achieve these goals.
Strategic Feedback & Learning : Provides a structured feedback system for monitoring, analyzing, and reviewing strategic performance and results, promoting continuous improvement and strategic learning within the organization.
Prioritization of Projects & Investments : Helps prioritize projects and investments based on how they align with and impact strategic objectives, ensuring that resources are allocated to the most strategically relevant initiatives.
Organizational Development & Change Management : Facilitates organizational growth and adaptation by linking change management initiatives to long-term strategic objectives, helping manage transformation and development in a strategic context.

No matter what type of problem you’re facing, there’s a diagram that can help you solve it. Therefore, by understanding the different types of diagrams and how to use them, you’ll need to prepare for any issue that comes your way.

How to Choose the Ideal Problem-Solving Tool?

Choosing the ideal problem-solving tool largely depends on the nature of the problem and its complexity. Here are some steps you can follow to select the most suitable tool:

Define the Problem: Before you choose a tool, you need to understand the problem clearly. What is the issue you’re trying to solve? What are its effects?
Identify the Nature of the Problem: Is the problem simple, complicated, or complex? Simple problems have predictable solutions, while complicated ones may require expert knowledge or detailed analysis. Complex problems involve many interconnected parts and are best approached by understanding those connections and their effects.
Consider the Level of Analysis Required: Some problems can be solved with a simple root cause analysis . In contrast, others may require more in-depth analysis, such as a SWOT or PESTEL analysis.
Identify the Resources Available: Some tools require specific resources or software. Ensure you have access to these resources before choosing a tool.
Consider Your Team’s Familiarity with the Tool: If your team is already familiar with a particular tool, it might be advantageous to use it. If not, you’ll need to consider whether there will be a learning curve and if sufficient time and resources are available for training.
Evaluate the Tool: Once you have chosen a tool, use it to solve the problem. Then, evaluate the effectiveness of the tool. Did it help solve the problem? Was it easy to use? Did it save time and resources?

The goal is not just to solve the problem but to learn from the process. This learning can be applied to future problem-solving efforts, continuously improving your approach.

Frequently Asked Questions (FAQs)

Q1: what differentiates a simple problem from a complex one in problem-solving.

Simple problems usually have a clear and predictable solution, whereas complex problems have many interconnected components that change dynamically and may require holistic and flexible approaches to solve. By understanding the nature of the problem, you can choose a suitable tool for effective problem-solving.

Q2: How frequently should I review and update the problem-solving tools used in my organization?

Review and update your problem-solving tools as needed when there is a significant change in the organization’s objectives or market conditions or when feedback or results indicate an improvement is warranted. Make sure your tools are aligned with your current strategy and goals to ensure their effectiveness.

Q3: Can one problem-solving tool be used for all types of problems?

Not typically. Problem-solving tools are varied and designed to address specific types of issues. It’s crucial to match the right tool to the problem to ensure an effective solution. At the same time, some tools may be adaptable and useful for multiple types of problems.

Q4: What should I do if a selected problem-solving tool does not yield the expected results?

If the tool isn’t working, it’s essential to re-evaluate the situation, possibly redefining the problem or choosing a different tool that may be better suited to the circumstances. That way, you can find a solution that is more likely to yield the expected results. If necessary, seek guidance or assistance from experts in the field to help identify a suitable tool and approach.

Q5: Is collaboration always beneficial when using problem-solving tools?

Collaborative problem-solving can foster diverse ideas and lead to innovative solutions. However, the situation and type of problem should guide the necessity and extent of collaboration. By understanding these factors, you can choose the most effective problem-solving approach and tool for your organization’s needs.

Q6: How important is it to be trained in multiple problem-solving tools?

Proficiency in various tools allows for flexibility and adaptability in tackling different problems. Continuous learning and training in multiple methodologies can significantly improve problem-solving effectiveness. Making sure your team is well-versed in various tools can also increase their confidence and competence in addressing complex issues. So, it’s beneficial to invest in training and development programs that expose individuals to a variety of problem-solving approaches and tools.

Streamline Problem-Solving Processes with DATAMYTE

DATAMYTE is a quality management platform with low-code capabilities. Our Digital Clipboard , in particular, is a low-code workflow automation software that features a workflow, checklist, and smart form builder. This tool lets you build and deploy custom solutions for problem-solving, quality control, data collection, and analysis without any programming knowledge.

DATAMYTE also lets you conduct layered process audits, a high-frequency evaluation of critical process steps, focusing on areas with the highest failure risk or non-compliance. Conducting LPA with DATAMYTE lets you effectively identify and correct potential defects before they become major quality issues.

With DATAMYTE , you have an all-in-one solution for efficient and effective problem-solving, quality management, and continuous improvement. Book a demo now to learn more.

The art of problem-solving necessitates a careful evaluation of the problem, consideration of the tools and resources available, and a sound understanding of your organization’s capabilities. Whether the problem at hand is simple, complicated, or complex, the key lies in matching the right problem-solving tool to the task.

Regular review and adaptation of tools, coupled with a readiness to embrace training and collaboration, bolsters the problem-solving process. Through an iterative and informed approach to problem-solving, it is possible to enhance decision-making, drive continuous improvement, and achieve strategic organizational goals.

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6 Problem-Solving Tools to Tackle Your Most Complex Issues

Problem-solving is hard . Resolving complex issues is certainly too complicated to be automated with software tools. You’re better than a robot, of course.

But you’ve already done the heavy lifting. You’ve established a plan. You’ve set the criteria. And you’ve sourced the necessary data. All that work requires a savvy mind. That’s the hard part. The smart part. So why does the final decision still seem so hard?

Much of it has to do with our limitations in synthesizing and calculating the broad array of data we’ve gathered. In a way, that’s the tedious part. With the “smart part” done, why not leave the final calculations to non-biased, problem-solving software automation?

On this list of problem-solving tools, you’ll find software and online routines to make your decisions easier . Some simply guide you through the problem-solving process with tools such as mind maps, flowcharts and decision trees. Each of them is effective. With that in mind, let’s look at our favorite six tools to solve problems and move your company forward.

1. Pugh Matrix: Free Interactive Decision-Making Tool

We often struggle choosing between candidates to hire. Not because we have difficulty evaluating their strengths and weaknesses. Those sorts of qualitative analyses come easily to us. It’s the quantitative aspect—weighing all those facts for a resolution—that creates the dilemma of overthinking . The Pugh Decision-Making Tool at Psychologia is here to assist. Simply visit the free, online page and plug in the data you’ve gathered. You can even weigh certain qualifications as more or less important. For instance, you might value bookkeeping skills more than Adobe CC skills for a certain office position. A click of the mouse creates a multiplier effect for the skills you value most.

Use for Free: Pugh Matrix: Free Interactive Decision-Making Tool

2. Ben Franklin Method Decision Balance Sheet

This handy decision-making tool is even simpler than the Pugh Matrix. And with simplicity comes versatility. With this free, online tool from DecisionCount, you can more simply choose between two options. Avoid analysis paralysis . Instead, simply enter the strengths of each option and weigh them by truth and importance. It’s handy for snap decisions both big and small. Whether choosing if you should increase a marketing budget or where to have lunch, this tool can help you make a final decision.

Use for Free: Ben Franklin Method Decision Balance Sheet

Graphic representations are critical. They help us get our heads around even the most difficult problems through concrete visualization. Plus, mind mapping and brainstorming allow us to see connections we might not otherwise have missed. GitMind offers a free, online tool to get you started. Choose from dozens of templates that include mind maps, organizational charts, flowcharts, Ishikawa diagrams , UML diagrams, and more to move your business forward. You can even download a mobile app for problem-solving on the go.

Use for Free: GitMind

4. Creately: Online SWOT Analysis Creator

A SWOT analysis serves as one of the key tools in problem-solving. Team members brainstorm to identify the strengths, weaknesses, opportunities, and threats (SWOT) of a particular problem. After careful analysis, they hopefully reach a consensus. But conveying the results of such a meeting to external team members can prove challenging. This handy, online tool provides 36 attractive templates to make your SWOT analysis more understandable to both internal and external audiences. You can even collaborate online. This feature allows you to brainstorm together remotely and over longer periods. Make your SWOT analysis easier and clearer with this handy tool.

Use Free (Limited use, low-fee subscriptions): Online Swot Analysis Creator

5. Pareto Analysis: Chart Templates from Visual Paradigm

Developed by the economist Vilfredo Pareto, the Pareto Principle has been used in problem-solving across industries from sports to computing. Sometimes called the 8/20 Rule, the Pareto Principle states that 20% of causes frequently lead to 80% of outcomes. This mathematical reality has vast implications for decision-making and prioritization. After all, 20% of work performed may lead to 80% of revenue. Conversely, 20% of errors or bad judgments often lead to 80% of company losses. A Pareto analysis identifies both to leverage the good and diminish the bad.

Four templates provided by Visual Paradigm allow you to easily and attractively present your Pareto analysis. But why stop there? While visiting Visual Paradigm, you’ll find templates for all kinds of interactive decision-making. You’ll also find royalty free photos and icons. There’s even an art editor to create infographics, brochures and more. Don’t miss this vast treasure trove at $15 per month or less.

Use Free (limited use, low-fee subscriptions): Pareto Analysis Chart Templates

6. Syncopation Software: DPL

Now for something more robust. You’ve probably used decision trees for problem-solving. But the likelihood of strong results depends on two things. First, the quality and scope of the input data. And second, the quality of your analysis. Plus, the output needs to be presentable and understandable to everyone impacted.

DPL from Syncopation Software assists you on each of these fronts and more. Used for problem-solving by industries ranging from Boeing and Ford Motors to Intel and UPS, DPL integrates seamlessly with Excel spreadsheet data. You can conduct sensitivity analyses within the system to weigh variables and develop insights on problems to resolve. Outputs, including Syncopation’s Policy Tree, are easy for anyone on the team to understand visually. Put it all together, and DPL helps your company gather data, present solutions, and implement the best decisions available.

Try Free: DPL 9 from Syncopation Software Free for 21 Days

Photo by @ajknapp /Twenty20

Bryan Lindenberger

Bryan enjoys the digital space where arts and technology meet. As a writer, he has worked in education, health and wellbeing, and manufacturing. He also assists smaller businesses in web development including accessibility and content development. In his free time, he hikes trails in central Florida.

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Problem management: 8 steps to better problem solving

Problem management is an 8 step framework most commonly used by IT teams. You can use problem management to solve for repeating major incidents. By organizing and structuring your problem solving, you can more effectively get to the root cause of high-impact problems—and devise a solution. Solving the root cause prevents recurrence and creates a repeatable solution to use on similar errors in the future.

In an IT department, errors and mishaps are part of the job. You can't always control these problems, but you can control how you respond to them with problem management. Problem management helps you solve larger problems and reduce the risk that they’ll happen again by identifying all connected problems, solving them, and planning for the future.

What is problem management?

Problem management is an 8 step framework most commonly used by IT teams. Your team can use problem management to solve for repeating major incidents. By organizing and structuring your problem solving, you can more effectively get to the root cause of high-impact problems—and devise a solution. Problem management is a process—used mostly by IT teams—to identify, react, and respond to issues. It’s not for every problem, but it’s a useful response when multiple major incidents occur that cause large work interruptions. Unlike problem solving, problem management goes beyond the initial incident to discover and dissect the root causes, preventing future incidents with permanent solutions.

The goals of problem management are to:

Prevent problems before they start.

Solve for repetitive errors.

Lessen each incident’s impact.

Problem management vs. incident management

Example: Someone leaves their unprotected laptop in a coffee shop, causing a security breach. The security team can use incident management to solve for this one, isolated event. In this case, the team could manually shut down the accounts connected to that laptop. If this continues to happen, IT would use problem management to solve the root of this issue—perhaps installing more security features on each company laptop so that if employees lose them, no one else can access the information.

Problem management vs. problem solving

While similar in name, problem management differs slightly from problem-solving. Problem management focuses on every aspect of the incident—identifying the root cause of the problem, solving it, and prevention. Problem solving is, as the name implies, focused solely on the solution step.

Example: You’re launching a new password management system when it crashes—again. You don’t know if anything leaked, but you know it could contain confidential information. Plus, it’s happened before. You start the problem management process to ensure it doesn’t happen again. In that process, you’ll use problem solving as a step to fix the issue. In this case, perhaps securing confidential information before you try to launch a new software.

Problem management vs. change management

Change management targets large transitions within your workplace, good and bad. These inevitable changes aren’t always negative, so you can’t always apply problem management as a solution. That’s where change management comes in—a framework that helps you adjust to any new scenario.

Example: Your company is transitioning to a new cloud platform. The transition happens incident-free—meaning you won’t need problem management—but you can ease the transition by implementing some change management best practices. Preparing and training team members in the new software is a good place to start.

Problem management vs. project management

Project management is the framework for larger collections of work. It’s the overarching method for how you work on any project, hit goals, and get results. You can use project management to help you with problem management, but they are not the same thing. Problem management and project management work together to solve issues as part of your problem management process.

Example: During problem management, you uncover a backend security issue that needs to be addressed—employees are using storage software with outdated security measures. To solve this, you create a project and outline the tasks from start to finish. In this case, you might need to alert senior executives, get approval to remove the software, and alert employees. You create a project schedule with a defined timeline and assign the tasks to relevant teams. In this process, you identified a desired outcome—remove the unsafe software—and solved it. That’s project management.

The 8 steps of problem management

It’s easy to get upset when problems occur. In fact, it’s totally normal. But an emotional response is not always the best response when faced with new incidents. Having a reliable system—such as problem management—removes the temptation to respond emotionally. Proactive project management gives your team a framework for problem solving. It’s an iterative process —the more you use it, the more likely you are to have fewer problems, faster response times, and better outputs.

1. Identify the problem

During problem identification, you’re looking at the present—what’s happening right now? Here, you’ll define what the incident is and its scale. Is this a small, quick-fix, or a full overhaul? Consider using problem framing to define, prioritize, and understand the obstacles involved with these more complex problems.

2. Diagnose the cause

Use problem analysis or root cause analysis to strategically look at the cause of a problem. Follow the trail of issues all the way back to its beginnings.

To diagnose the underlying cause, you’ll want to answer:

What factors or conditions led to the incident?

Do you see related incidents? Could those be coming from the same source?

Did someone miss a step? Are processes responsible for this problem?

3. Organize and prioritize

Now it’s time to build out your framework. Use an IT project plan to organize information in a space where everyone can make and see updates in real time. The easiest way to do this is with a project management tool where you can input ‌tasks, assign deadlines, and add dependencies to ensure nothing gets missed. To better organize your process, define:

What needs to be done?

Who’s responsible for each aspect? If no one is, can we assign someone?

When does each piece need to be completed?

What is the final number of incidents related to this problem?

Are any of these tasks dependent on another one? Do you need to set up dependencies ?

What are your highest priorities? How do they affect our larger business goals ?

How should you plan for this in the future?

4. Create a workaround

If the incident has stopped work or altered it, you might need to create a workaround. This is not always necessary, but temporary workarounds can keep work on track and avoid backlog while you go through the problem management steps. When these workarounds are especially effective, you can make them permanent processes.

5. Update your known error database

Every time an incident occurs, create a known error record and add it to your known error database (KEDB). Recording incidents helps you catch recurrences and logs the solution, so you know how to solve similar errors in the future.

[product ui] Incident log example (lists)

6. Pause for change management (if necessary)

Larger, high-impact problems might require change management. For example, if you realize the problem’s root cause is a lack of staff, you might dedicate team members to help. You can use change management to help them transition their responsibilities, see how these new roles fit in with the entire team, and determine how they will collaborate moving forward.

7. Solve the problem

This is the fun part—you get to resolve problems. At this stage, you should know exactly what you’re dealing with and the steps you need to take. But remember—with problem management, it’s not enough to solve the current problem. You’ll want to take any steps to prevent this from happening again in the future. That could mean hiring a new role to cover gaps in workflows , investing in new softwares and tools, or training staff on best practices to prevent these types of incidents.

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

8. Reflect on the process

The problem management process has the added benefit of recording the process in its entirety, so you can review it in the future. Once you’ve solved the problem, take the time to review each step and reflect on the lessons learned during this process. Make note of who was involved, what you needed, and any opportunities to improve your response to the next incident. After you go through the problem management process a few times and understand the basic steps, stakeholders, workload, and resources you need, create a template to make the kickoff process easier in the future.

5 benefits of problem management

Problem management helps you discover every piece of the problem—from the current scenario down to its root cause. Not only does this have an immediate positive impact on the current issue at hand, it also promotes collaboration and helps to build a better product overall.

Here are five other ways ‌problem management can benefit your team:

Avoids repeat incidents. When you manage the entire incident from start to finish, you will address the foundational problems that caused it. This leads to fewer repeat incidents.

Boosts cross-functional collaboration. Problem management is a collaborative process. One incident might require collaboration from IT, the security team, and legal. Depending on the level of the problem, it might trickle all the way back down to the product or service team, where core changes need to be made.

Creates a better user experience. It’s simple—the fewer incidents you have, the better your customer’s experience will be. Reducing incidents means fewer delays, downtime, and frustrations for your users, and a higher rate of customer satisfaction.

Improves response time. As you develop a flow and framework with a project management process, you’ll be better equipped to handle future incidents—even if they’re different scenarios.

Organizes problem solving. Problem management provides a structured, thoughtful approach to solving problems. This reduces impulsive responses and helps you keep a better problem record of incidents and solutions.

Problem management leads to better, faster solutions

IT teams will always have to deal with incidents, but they don’t have to be bogged down by them. That’s because problem management works. Whether you employ a full problem management team or choose to apply these practices to your current IT infrastructure, problem management—especially when combined with a project management tool—saves you time and effort down the road.

With IT project plans, we’ve made it easier than ever to track your problem management work in a shared tool. Try our free IT project template to see your work come together, effortlessly.

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A Guide to Problem-Solving for Software Developers with Examples

If I ask you, out of the blue, what’s the role of a developer, what would you answer? Coding all day? Drinking coffee? Complaining about the management?

To me, a developer is first and foremost a problem solver, simply because solving problem is the most important (and the most difficult) part of our job. After all, even if our code is perfect, clear, performing great, a masterpiece of form and meaning, it’s useless if it doesn’t solve the problem it was meant to solve.

So, let’s dive into problem-solving today. More specifically, we’ll see in this article:

How to define a problem, and the difference sometimes made between problem-solving and decision-making.
Why some problems should not be solved.
The two wide categories of problems you can encounter.
Why it’s important to correctly define the problem, and how to do so.
How to explore the solution space.
Why deferring a problem might be the best decision to make in specific situations.
Why reflecting on the whole process afterward can help you in the future.

This article is mostly based on my own experience, even if I apply here some ideas I found in books and papers.

We have our plan. Now, it’s time to dive deep into the difficult, but rewarding, process of problem-solving.

Problem-Solving and Decision-Making

“When I use a word,” Humpty Dumpty said in rather a scornful tone, “it means just what I choose it to mean — neither more nor less.” “The question is,” said Alice, “whether you can make words mean so many different things.” “The question is,” said Humpty Dumpty, “which is to be master — that’s all.” Lewis Caroll Source

Words are ambiguous; they can mean different things for each of us. So let’s first begin to agree on the definition of “problem-solving” here, to be sure we’re on the same page.

Let’s first look at the definition of the word “problem” in a dictionary:

According to the American Heritage Dictionary , a problem is “a question to be considered, solved, or answered”.
According to the Oxford Learner’s dictionary , a problem is “a thing that is difficult to deal with or to understand”.

In short, in any problem, there is some degree of uncertainty. If you’re certain of the solution, the problem is already solved. Nothing would need to be “considered, solved, or answered”.

Information is useful to reduce this uncertainty. The quantity is often not the most important, but the quality will be decisive. If I tell you that 90% of my readers are extremely intelligent, would it help you to solve a problem in your daily job? I bet it wouldn’t. It’s information nonetheless, but its usefulness for you is close to zero.

This is an extreme example, but it highlights an important point: before collecting any data, define your problem clearly; then, according to the problem, decide what data you need. Yet, many companies out there begin to collect the data and then decide what problem to solve. We’ll come back to that soon in this article.

So, to summarize, a problem is a situation with some degree of uncertainty. Sometimes, this uncertainty needs to be reduced to come up with an appropriate solution, or, at least, a decision to move forward to your specific goal.

Is there a Problem to Solve?

Whenever you (or somebody else) see a problem, you should always ask yourself this simple question first: is it really a problem, and should we solve it now ?

In other words, ask yourself the following questions:

Why is this problem important to solve?
Would be solving the problem creates some value? What value?
What would happen if the problem was not solved?
What desired outcome do we expect by solving the problem?

If the problem doesn’t bother anybody and solving it doesn’t create any value, why allocating effort and time to solve it?

It sounds obvious, but it’s an important point nonetheless. More often than not, I see developers heading first in solving problems without asking themselves if they should solve them at the first place.

The most common examples I can think of are useless refactoring. I saw developers refactoring parts of codebases which never change, or is rarely executed at runtime. In the mind of the developer, the code itself is the problem: refactoring is the solution.

I remember a similar case: a developer refactored part of the codebase which was basically never used. We discovered, months later, when we had more and more users using this specific part of the codebase, that the refactoring didn’t really simplify anything. To the contrary; we had to refactor the code again. The first refactoring tried to solve a problem which didn’t exists.

Of course, the developer could argue that the value created is a “cleaner” codebase, but it’s arguable, especially when the code is neither often modified nor used. The value created here is not clear, and it would have been easier if the first refactoring never happened. In this specific situation, I recommend refactoring when you actively change part of the codebase for another reason (implementing a new feature for example).

Whether a problem is worthy to be solved is subjective. It also depends on the problem: if the solution is clear and straightforward, it might be useful to solve it, if the consequences of the solution are also clearly known and the risks are low. Unfortunately, these kinds of problems, in practice, are quite rare.

Types of Problems

I would define here two wide categories of problems: the problems with a (or multiple) clear solution (what the literature call “problem-solving”), and the problems without clear solution (it’s sometimes called “decision-making” instead of “problem-solving”).

In fact, if the problem you’re trying to solve has a clear, accepted answer, it’s very likely it has been solved already. It’s often the case for mechanical, technical problems. For example, let’s say that you need to order a list; you just have to search on the wild Internet how to do so in your programming language of choice, and you’re done! You can ask an “AI” too, or stack overflow, or whatever.

In my experience, most technical problems have one (or multiple) accepted solution. I won’t speak about these kinds of problems at length in this article, since they’re the easiest to solve.

When you’re in front of a problem which has no clear solution (even after doing some research), it’s where things get more complicated. I’d argue that most problems you’ll face, as a software developer, are of this category. Problems which are directly linked to the domain of the company you work with are often specific (because they depend on the domain), and complex.

For example, I’m working for a company providing a learning platform for medical students who want to become doctors, among other services. This context is changing because the real world is changing; medicine is no exception.

Recently, we had to create new data structures for the knowledge we provide; these data structures are directly linked to the domain (medicine) here. But what data structures to create? How can they adapt to the ever-changing environment? How to capture the data in the most meaningful way, with understandable naming for other developers?

Decisions had to be made, and when there are no clear solutions, you need to come up with a couple of hypothesizes. They won’t feel necessary like solutions , but rather decisions to take to move forward toward the desired outcome. It often ends up in compromises, especially if you’re working in a team where the members have different opinions .

Also, architectural decisions have often no clear solutions because they depend, again, on the changing context. How to be sure that an architectural decision is good today and in three months? How can we make the architecture flexible enough to adapt to the blurry future?

As developers, we deal with complex codebases, which are somewhat linked to the even more complex real world. It’s difficult to know beforehand the consequences of our decisions, as well as the benefits, the drawback, and the potential bugs we introduce.

Before jumping into the solution space however, we first need a good detour in the problem space.

Defining the Problem

Correctly stating the problem.

After determining that we indeed have some kind of problem, it’s tempting to try to find a solution directly. Be patient: it’s better to look at the problem more closely first.

If you don’t specify well the problem, you might not solve it entirely. It’s also possible that you end up solving the wrong problem, or the symptoms of a problem, that is, other minor problems created by a root problem. Often, the ideal scenario is to find the root problem, even if you don’t want to tackle it first. In any case, it’s always useful information.

For example, not long ago, our users didn’t find the content they were searching for, using our search functionality on our learning platform.

We could have directly solved the problem by asking the search team to adjust that for us, but this problem was only a symptom. It wasn’t the first time that we had to spend time and energy trying to communicate to the search team what we wanted to fix; the real root problem here was that we didn’t have any ownership of our search results.

The solution: we created a better API communicating with the search team, to be able to adjust ourselves the search results in a more flexible manner.

When looking at a problem, a good first step is to write it down. Don’t do it once; try to find different formulations for the same problem.

Writing is nice (I love it!), but other ways to represent ideas can be really useful too. You can try to draw what you understand from the problem: a drawing, a diagram, or even a picture can help you understand the problem.

From there, you can ask yourself: do you have enough information to take a decision? The answer will be mostly based on the experience of the problem solver, there is no magical formula to be sure that you can and will solve the problem.

You should also try to look at the problem from different angles, to really frame it correctly. The best way to do so is to solve problems as a team.

Solving Problems in a Team

Trying to describe and think about a problem is a great beginning, but it’s even better if you do it as a team. You can exchange experience, opinions, and it’s easier to look at a problem from multiple angles when multiple developers are involved.

First, make sure that everybody in the team is aware of the problem. Defining it altogether is the best. If you have a doubt that somebody is not on the same page, you can re-explain it using different words. It might bring more insights and ideas to the discussion.

Don’t assume that everybody understands the problem equally. Words are powerful, but they are also ambiguous; never hesitate to ask questions (even if they seem stupid at first), and encourage the team to do the same. If your colleagues see that you’re not afraid to ask, it will give them confidence to do the same.

The ambiguity can also build overtime, after the problem was discussed. That’s why it’s really important to document the whole process, for anybody to be able to look at it again and fix the possible creeping misconceptions. Don’t try to describe everything, but try to be specific enough. It’s a delicate balance, and you’ll get better at it with experience.

If you don’t like writing, I’d recommend you to try anyway: this is a powerful skill which will be useful in many areas of your life.

Regarding the team of problem solvers, diversity is important. Diversity of opinion, experience, background, you name it. The more diverse the opinions and ideas are, the more chances you’ll have to solve the problem satisfyingly (more on that later). If the members of the team have enough respect, humility, and know how to listen to their colleagues , you’re in the perfect environment to solve problems.

As developers, we’re dealing with moving systems, because they need to reflect the ever-changing business domain of the company you’re working with. These problems are unique, and even if similar problems might have been solved in the past, they’re never the exactly same. The differences can have an impact on the solution, sometimes insignificant (allowing you to re-apply the solution found previously), sometimes important enough to change the solution entirely.

Exploring the Solution Space

Now that we’ve defined the problem, thought about it with our team, tried to look at it from different angles, it’s time to try to find solutions, or at least to make a decision.

What is a good decision? The one which will bring you closer to your desired outcome. It sounds obvious, but there can be some ego involved in discussions, which will push us to try to be right even if it’s not the best solution in the current context. Our personal incentives can conflict with the company’s best interest; it’s always good to try to stay aware of that.

The solution should also be the simplest possible, while still moving forward to the desired outcome. It should also have an acceptable level of risk when we decide to apply the solution. In my experience, complicated solutions are the ones which come up first: don’t stop there. Take some time trying to find the best solution with your team.

For example, here’s what we do with my actual team:

We define the problem altogether.
We try to think about different hypothesizes. Not only one, but a couple of them.
We write the benefits and drawbacks of each hypothesis (which can lead to more ideas, and possibly more hypothesizes).
We commit to a hypothesis, which then needs to be implemented.

What I meant by “hypothesis” here is a solution which might work; but only the implementation of the hypothesis can be considered as a solution. Before the implementation, it’s just an informed guess. Many things can go wrong during an implementation.

This process looks simple, but when you have multiple developers involved, it’s not. Again, if each member of the team have good soft skills and some experience, it can be an enjoyable and rewarding process. But you need a good team for it to work efficiently (that’s why it’s so important to ask the good questions when joining a company). It’s even better if the members of the team are used to swim in uncertainty, and take it as a challenge more than a chore.

The process described above is just an example; in practice it’s often more chaotic. For example, even when a decision is made, your brain might still continue to process the problem passively. If you find some flaws in the hypothesis you’ve committed to, congratulations! You have now a brand-new problem.

I can’t emphasize it enough: try to be as detached as possible from your ideas, opinions, and preferred hypothesizes. The goal is not for you to be right and feel good, but for your company to move in the good direction. It’s hard, but with practice it gets easier.

I also want to underline the importance of finding both benefits and drawbacks for the different hypothesizes you (and your team) came up with.

To find good solutions, we might also need to reduce the uncertainty around their possible consequences. Doing some external research can help, like gathering data around the problem and the possible hypothesizes. In the best case scenario, if you can find enough data, and if you feel confident that you can move forward with a hypothesis, that’s already a great victory.

If you don’t have enough external information to reduce the uncertainty to a level you feel comfortable with, look at your past experience. Try to find problems similar to the one your deal with in the present, and try to think about the solutions applied at the time, to see if they could also be applied in your current case. But be careful with this approach: complex problems are context-sensitive, and the context you were in the past will never be exactly the same as the present and future contexts.

For example, I recently changed the way we display search results in our system, because we had some data indicating that some users had difficulties to find what they really wanted to find. The problem: users have difficulties to find the good information; it’s a recurrent problem which might never be 100% solved. That said, thanks to the data gathered, we found an easy way to improve the situation.

The data was very clear and specific, but it’s not always the case. More often than not, your data won’t really prove anything. It might only show correlations without clear causality. It will be even more true if you begin by gathering data without defining first the problem you try to solve. You can find problems looking at some data, that’s true, but it needs care and deep understanding of what you’re doing; looking at data when you know exactly what you want to solve works better.

Using this kind of process, the hypothesis is often some sort of compromise. That’s fine; committing to a hypothesis is not the end of the process, and there will be other occasions to revisit and refine the solution.

If you don’t feel comfortable with the level of uncertainty of the problem (or the risk involved by applying your hypothesis), you need to dig more. Writing a prototype can be useful for example, if you hesitate between two or more approaches. If your prototype is convincing enough, it can also be useful to gather feedback from your users, even if the ones testing your hypothesis will always be more invested if they test a real-life functionality, instead of a prototype which might use dummy data, or be in a context which is too remote from the “real” context.

In my opinion, prototypes are not always useful for complex problems, because a prototype only test a new feature at time T, but doesn’t allow you to see if the solution stay flexible enough overtime. That’s often a big concern: how will the solution evolve?

But prototyping can still help gather information and reduce the uncertainty of the problem, even if the prototype doesn’t really give you the solution on a silver platter. It’s also great for A/B testing, when you’re in the (likely) case when you have not much information about the real needs of your users. You could ask them of course, but nothing guarantee that they know themselves what these needs are.

If you don’t find any satisfying hypothesis to your problem, you might also challenge the desired outcome. Maybe a similar, simplest hypothesis, with slightly different outcomes, could work better? If it makes things easier, faster, and less complex, it could be the best solution. Don’t hesitate to challenge your stakeholders directly on the desired outcomes.

Deferring the Problem

In some cases, you might be hesitant to try to solve a problem if there is still too much uncertainty around it. In that case, it might be best to defer solving the problem altogether.

Deferring the problem means that you don’t solve it now ; you keep things as they are, until you get more information to reduce the uncertainty enough.

We had a problem in the company I worked with some time ago: we have dosages which can be discovered in articles, but users didn’t really find them, and nobody really knew why. Because of this lack of information, the problem was not tackled right away, but differed. From there, data have been collected overtime, allowing us to understand the scope of the problem better.

Don’t forget that deferring a problem is already taking a decision. It might be the less disruptive decision for the application and its codebase, but it’s s decision nonetheless, and it can have consequences. Seeing a differed problem as a decision will push you to think about the possible consequences of your inaction, and you’ll look at it as a partial “solution”, with some uncertainty and risk associated to it.

In my experience, deferring the problem works well only when you try to actively seek more data to solve it later. It can be some monitoring to see how the problem evolves, or some data taken from users’ actions. Sometimes, simply waiting can also give you important information about the nature of the problem.

What you shouldn’t do is try to forget the problem. It might come back in force to haunt your sleepless nightmares later. Avoiding a problem is not deferring it.

Here’s another example: we began recently to build some CMS tooling for medical editors, for them to write and edit content on our learning platform. We had one GraphQL API endpoint at the beginning, providing data to two different part of the application:

Our CMS for medical editors.
Our learning platform for medical students.

We knew that using one single GraphQL endpoint for these two types of users could cause some problems.

But we didn’t do anything about it, mostly because we didn’t see any real, concrete problem, at least at first. When a minor symptom, related to this unique endpoint, popped up, we spoke about it, and we still chose not to do anything. We preferred deferring the problem once more, to try to solve the real problem (one API for two different kinds of applications) later.

Finally, when we had enough symptoms and some frustration, we decided to split our graphQL API in two different endpoints. It was the best moment to do so: we had enough information to come up with a good decision, we applied it, and we stayed vigilant, to see how our applied hypothesis would evolve.

Moving fast and breaking things is not always the best solution. In some situations, waiting a bit and see how things evolve can allow you to solve your problems in a more effective way. But, as always, it depends on the problem, its context, and so on.

Reading this article, you might have wondered: how much information is enough to be comfortable enough to apply a solution? Well, again, your experience will be the best judge here. You’ll also need to consider carefully risks, benefits, and drawbacks. It doesn’t mean that you need to chicken out if you don’t have 100% certainty about a problem and some hypothesizes; being a software developer implies to have some courage and accept that mistakes will be made. It’s not an easy task, and there is no general process to follow in any possible case.

In short: use your brain. Even if you’re totally wrong, you’ll have the opportunity to fix the bad decisions you’ve made before the implementation, during the implementation, and even after it. We don’t code in stone.

The Implementation: The Value of Iteration

You’ve gathered with your team, tried to define the problem, found multiple hypothesizes, and agreed to try one of them. Great! Problem solved.

Not so fast! We still need to apply the hypothesis, and hope that it will become a good solution to the problem. Doing so, you’ll gather more information along the way, which might change your perspective on the problem, on your hypothesizes, and can even create some baby problems on its own.

It’s where the agile methodology is useful: since we’ll never have 100% certainty regarding a problem and its possible solution, we’ll learn more about both while implementing the hypothesis. That’s why it’s so valuable to iterate on the implementation: it gives you more information to possibly adjust your code, or even the problem, or even switching hypothesizes altogether. Who knows? A solution which is not implemented is just a guess.

If the hypothesis applied is not the ones you would have personally preferred (compromising, or even giving up on your preferred solution is common in a team), only applying it will tell you if you’re right or wrong; that is, if the hypothesis can become a solution solving the problem, at least in the present context.

If you’re worried about how a specific solution will evolve overtime, it’s more complicated, because an implementation won’t give you the information you seek. Still, implementing a hypothesis can be a great source of learning (the most valuable to me is when I’m wrong, because I learn even more). If you think that your hypothesis can have better outcome at time T, you might also try to implement it and compare it. Again, it’s where prototyping is useful.

When applying the solution, you need to look at the details of the implementation, as well as the big picture, to judge if the solution you’re creating is appropriate (leading to the desired outcome). This is a difficult exercise. In general, a developer should be able to reason on different levels of abstraction, more or less at the same time. Again, if you’re aware of it, your experience will help you here, and you can also push yourself to think of all the possible risks and consequences at different levels.

If you work in a team, try to participate (at least a bit) into the implementation of the solution. It’s not good to create silos in teams (that is, only a couple of members have some information others don’t have).

You can go as far as looking at other projects, and ask yourselves these questions:

Did we had similar problems on these other projects? How did we solve them?
What was the context of these projects? Is it similar to our current context?
What did we learn from these other problems, and their implementation? Is the implementation similar to what we’re doing now?

In any case, I would definitely recommend you to write a development journal. I write mine for years, and it has been valuable in many cases. I basically write in there:

The interesting problems I had.
The decisions made.
How the implementation of the solution evolved overtime.
The possible mistakes we made along the way.

It’s a great resource when you have a problem and you want to look at your past experience.

To evaluate your decisions overtime, nothing will beat a good monitoring process: logs, tests, and so on. It’s what the book Building Evolutionary Architecture call “fitness functions” for example, some monitoring allowing you to measure how healthy your architecture stays overtime. It doesn’t have to stop to the architecture; you can think about different monitoring system to see how something evolve, especially if the solution has still a lot of uncertainty regarding its benefits, drawbacks, and risks.

You can also do that retrospectively: looking at how the code complexity evolve overtime using Git for example.

Retrospective on the Process

We defined the problem, implemented a solution iteratively, and now the problem is gone. That’s it! We made it! Are we done now?

Decisions are sometimes not optimal, and implementing a solution successfully doesn’t mean that there wasn’t a better (simpler) one to begin with. That’s why it can be beneficial to look back and understand what went right, and what went wrong. For example, we can ask ourselves these questions:

Looking at what we learned during the whole process, is there a potentially better hypothesis to solve the problem in a simpler, more robust way?
What are the benefits and drawbacks we missed when speaking about the different hypothesizes, but we discovered during the implementation? Why we didn’t think about them beforehand?
What other problems did we encounter during the implementation? Did we solve them? Did we differ some? What should be the next steps regarding these new problems?
What kind of monitoring did we put in place to make sure that the solution won’t have undesired outcomes overtime? Can we learn something with this data?

Reflecting on past solutions is a difficult thing to do. There is no way to logically assess that the decision taken was better than others, since we didn’t implement the other hypothesizes, and we didn’t look at them overtime to appreciate their consequences. But you can still look at the implementation of the solution overtime, and write in your developer journal each time there is a bug which seems directly related to the solution. Would the bugs be the same if another solution would had been applied?

Bugs are often not an option; they will pop up, eventually. Nonetheless, it’s important to make sure that you can fix them in a reasonable amount of time, and that you don’t see them creeping back in the codebase after being solved. Some metrics, from the DevOps movement (like MTTR for example) can help here. Sometimes, bugs will show you a better, more refined solution to the original problem; after all, bugs can also give you some useful information. They are also the most direct result of the implementation of your solution.

If you want to know more about measuring complexity (which can be also used to measure complexity overtime after applying a solution), I wrote a couple of articles on the subject .

Humility in Problem-Solving

It’s time to do a little summary. What did we see in this article?

We need to ensure that the problem we found is really a problem we need to solve. Is there any value to solve the problem? Is it even a problem?
Try to determine what kind of problem you have: a problem which can have multiple, specific, known answers (like a technical problem), or a problem which depends on the real-life context, without known solutions?
Defining the problem is important. Try to define it using different words. Write these definitions down. Does everybody in your team understand the problem equally?
It’s time to explore the solution space. Draft a couple of hypothesizes, their benefits, drawbacks, and risks. You can also do some prototyping if you think it would give you more information to take the best decision.
Do you have enough information to implement a hypothesis, becoming effectively a solution? If it’s not the case, it might be better to keep the status quo and try to solve the problem later, when you’ll have more information. But don’t forget the problem!
If you decide to implement a solution, do it step by step, especially if you’re unsure about the consequences of your decisions. Implement an independent part of the hypothesis, look at the consequences, adjust if necessary, and re-iterate.
When the solution is implemented, it’s time to reflect on the whole process: did we solve the problem? What other problems did we encounter? Maybe another solution would have been better? Why?

As I was writing above, most problems you’ll encounter will be complex ones, embedded into a changing environment with different moving parts. As a result, it’s difficult to train to solve problems in a vacuum; the only good training I know is solving real life problems. That’s why your experience is so important.

Experience build your intuition, which in turn increase your expertise.

You’ll never have 100% certainty that a solution will bring you the desired outcome, especially if you are in front of a complex problem with a blurry context. If you are absolutely convinced that you have the good solution without even beginning to implement it, I’d advise you to stay humber in front of the Gods of Complexity, or they will show you how little you know.

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6 Powerful Problem-Solving Root Cause Analysis Tools

Engineering Team

May 14, 2024

When solving problems, you either take a proactive approach or a reactive one. Proactive: address the underlying causes of the issue to avoid future challenges. Reactive: respond to issues as they come.

For many project managers, getting at the root cause of an issue before it derails an entire project is key. You’ll save time, money, and valuable resources where they matter most. Plus, you develop insights to build better processes for smoother workflows.

To nail down what’s at the heart of an issue, you need root cause analysis. 👀

In this article, we’ll share ten of the best root cause analysis tools and techniques. We’ll dive into what root cause analysis is and how to choose the right tools for your business.

How to choose the right root cause analysis tool for a specific problem

2. intelex root cause analysis software, 3. apache skywalking, 4. taproot®, 5. appdynamics from cisco, 6. sologic root cause analysis software, pareto chart, fishbone diagram, scatter plot diagram.

What Is Root Cause Analysis?

Root cause analysis is the process of examining the source of an issue using various techniques and tools. It’s ideal for solving complex problems and helps teams create and prioritize solutions for better quality control and seamless processes.

There are several steps in the process, including:

Describing the existing issue
Analyzing metrics and collecting data
Identifying potential causes
Brainstorming solutions
Taking corrective action
Observing changes and performance

ClickUp Whiteboards product template view

Root cause analysis is a key component of quality management because its goal is to get to the heart of an issue and what’s causing it. That way, you prevent similar problems from arising and causing havoc on a project.

The benefit of root cause analysis is that it allows you to examine potential issues at their core. Plus, it’s designed to assess the issue as well as the solutions as you implement them.

As you gather valuable data on the problems your business faces and the effectiveness of the solutions you try out, you learn how to improve processes every step of the way. The result is a more efficient and successful business that’s able to adapt to whatever comes next. 🤩

You’ll find plenty of tools and methods designed to make root cause analysis easier and streamline the overall process. Luckily, there are also a number of free options in addition to paid analytics tools on the market to gather insights into the cause of the problem.

Of course, not all tools are equally effective. Some are meant to help brainstorm ideas for solutions. Others are designed to dive into metrics to track issues and nail down what’s behind them. And some are complete process software tools designed to integrate into your daily work. 🛠️

Want effective root cause analysis? Here’s what to look for in different tools and techniques:

Integrations : RCA is best when done collaboratively. Look for tools that let you work with team members to break down problems
Data tools : You can’t figure out what’s wrong without diving into metrics. Choose a tool that lets you collect data to inform the process
Specific actions : It’s not enough to know what’s causing a problem. You need a tool that lets you take specific actions, like instantly assigning remedial tasks

6 Best Root Cause Analysis Tools in 2024

Ready to figure out what’s at the root of your problem? With these six best root cause analysis tools and techniques, you’ll have what you need to break down an issue. From integrated software tools to free methods, there’s something for everyone. 💪

ClickUp is an all-in-one project management software designed to centralize your work across apps into one collaborative platform. With a rich set of dynamic features to streamline any workflow, teams rely on ClickUp to drive productivity, reduce downtime, and make processes more efficient.

One of the first steps in root cause analysis is to describe the problem. With ClickUp Whiteboards , teams can take a visual approach to this step. With live cursors, actionable tasks, embedding, and more, teams can work collaboratively to identify the root cause and present metrics that support their ideas.

The next step is to collect data. Use metrics to truly see what’s driving the issue. With ClickUp Forms , you can survey customers and employees to find out what problems are present and what may be causing them. These Forms are completely customizable, letting you collect the specific data you need. Plus, they’re easy to share, allowing you to cast a wide net to gather as much information as possible.

Once you’re in the analysis stage, ClickUp’s Table view will be your best friend. Create spreadsheets in seconds and design visual databases of information. Use these views to analyze your data and lay the groundwork for next steps to correct the problem. 🤩

ClickUp best features

ClickUp AI features hundreds of tools for various use cases, identifying issues and brainstorming solutions
Use Docs from ClickUp to easily document your RCA process and keep track of important insights and potential next steps
More than 1,000 templates, including ClickUp’s Root Cause Analysis Template , make it easy to do your work faster and more efficiently

ClickUp limitations

Right now, ClickUp AI writing tools are only available on desktop, but mobile rollout is on the way
The sheer number of features requires some time to learn, but once you do, you’ll be able to create more powerful processes

ClickUp pricing

Free Forever
Unlimited : $7/month per user
Business : $12/month per user
Enterprise : Contact for pricing
ClickUp AI is available on all paid plans for $5 per Workspace member per month

ClickUp ratings and reviews

G2 : 4.7/5 (2,000+ reviews)
Capterra : 4.7/5 (2,000+ reviews)

Intelex Root Cause Analysis product example

The Root Cause Analysis Software from Intelex is a SaaS tool designed to help companies create better environment, health, safety, and quality (EHSC) procedures. It uses various methodologies to get to the root cause of the problem.

Start by recording incident data in the tool where everyone on the team can access and analyze the information. Next, use methodology tools like Ishikawa diagrams and failure mode and effects analysis (FMEA) to identify trends.

Intelex best features

Integrated RCA techniques, including 5 whys, checklists, and gap analysis, make it easy to assess problems in one space
Workflow tools feature integrations to identify the root causes of problems outside your organization when they occur
Custom dashboards and reporting make sharing insights with various team members easier than ever

Intelex limitations

Some users felt the tool was rigid and that data collection features could be more insightful
The user interface isn’t the most friendly, particularly for beginners

Intelex pricing

Free: seven-day trial
Custom : Contact for pricing

Intelex ratings and reviews

G2 : 4/5 (10+ reviews)
Capterra : N/A

Root cause analysis tools: Apache Skywalking's services stats dashboard

Apache Skywalking is an application performance management (APM) tool designed to identify issues in software tools. Specifically made for microservices, cloud, and Kubernetes applications, this tool is useful for software engineers in charge of tech teams. 👨🏽‍💻

Apache Skywalking best features

Profile codes on runtime using the built-in root causes analysis features that identify the exact point where issues develop
Performance optimization tools let you create continuous improvement processes to better meet customer needs
In-depth metrics get to the heart of the problem, so your team can brainstorm solutions

Apache Skywalking limitations

The complex interface may be intimidating, particularly for entry-level team members
Some found the tool was better suited for smaller-scale projects

Apache Skywalking pricing

Free (open source tool)

Apache Skywalking ratings and reviews

Bonus: Check out The Best Open-Source Project Management Tools in 2024

TapRooT® is a software tool designed to identify and fix problems caused by both equipment and humans. Use this tool to collect evidence of the issue, identify the cause and effect of various actors, and develop fixes.

TapRooT® best features

Processes are differentiated based on whether it’s a simple incident or a major accident, so you react accordingly
The Corrective Action Helper® Guide/Module leads you through potential solutions and makes implementation faster
Charts and graphs organize data so it’s easier to identify trends

TapRooT® limitations

Some users found the pricing to be high
The tool is extremely in-depth, making it a better choice for big businesses

TapRooT® pricing

Contact for pricing

TapRooT® ratings and reviews

Root cause analysis tools: AppDynamics from Cisco's Dashboard and Reports page

AppDynamics is a tech tool from Cisco that’s designed to identify the root causes of issues across your business. Use it to break down problems in software, applications, user experience, and overall business health. The tool lets you gain visibility, gather data, and automate solutions. 📚

AppDynamics best features

Extensive supported technologies, including Apache, Python, and Docker
Monitoring and migration tools make implementing solutions faster
Application flow maps let you pinpoint the exact moment issues arise

AppDynamics limitations

A steep learning curve means you have to allocate resources to get the team up to speed
Complicated licensing and limited data security features

AppDynamics pricing

Infrastructure Monitoring Edition : $6/month/CPU Core
Premium Edition : $60/month/CPU Core
Enterprise Edition : $90/month/CPU Core
Enterprise Edition for SAP® Solutions : $167/month/CPU Core
Real User Monitoring : $0.06/month per 1,000 tokens

AppDynamics ratings and reviews

G2 : 4.3/5 (300+ reviews)
Capterra : 4.5/5 (30+ reviews)

Causelink® is Sologic’s RCA tool. It uses techniques like 5 whys, fishbone diagrams, and incident timelines to pinpoint the root cause of a problem. Use it as an individual, team, or enterprise tool based on the size of your business.

Sologic best features

Virtual RCA training features make it easy to provide professional development opportunities for all team members
Multiple built-in techniques let you analyze data in ways that make the most sense for your business
The built-in five-step method takes the guesswork out of RCA

Sologic limitations

Since the tool features built-in methodologies, there isn’t as much customization as with other tools
Pricing can be expensive, making it harder for small businesses to use

Sologic pricing

Causelink® Individual : $384/year
Causelink® Team : Contact for pricing
Causelink® Enterprise : Contact for pricing

Sologic ratings and reviews

G2 : 4/5 (1+ reviews)

Root Cause Analysis Techniques

A major benefit to using root cause analysis tools is that they’re designed to help teams integrate proven techniques into their daily processes. There are a ton of ways to get to the root of a problem, especially when you consider the range of issues teams face across industries.

If you’re searching for a new strategy or wondering what root cause analysis technique will best fit your team’s needs, start here with a few of our favorite examples:

Also called Pareto analysis, this RCA tool is a simple bar chart that ranks data based on frequency. It’s useful for identifying problems that cause the most downtime and highlighting where you should focus your efforts. The main purpose of a Pareto Chart is to separate minor problems from major ones. Teams turn to Pareto charts and analysis to:

Simplify the problem-solving process
Look for a singular cause to hone in on the root issue
Highlight the most commonly felt problems

The 5 Whys method is an investigative tool that’s much like a child repeatedly asking, “Why?” 🤔

That might be frustrating in other areas of life, but it’s great for root cause analysis because it pushes you to consider what’s behind a problem.

This tool isn’t meant for quantitative analysis; it’s more for a qualitative approach to finding out what’s behind an issue. It’s a mental exercise that limits your focus on one potential issue and encourages you to identify multiple contributors to that problem. The idea is to ask why-type questions about the problem to understand what’s wrong and why it may not be working.

This root cause analysis method is named for the shape of the diagram. It’s a process that breaks down problems into subcategories like machine, method, and materials. 🐟

Use fishbone diagram templates when you have no idea what’s behind the issue and need to do a big brainstorm. This strategy can be used for both simple and complex problems by breaking down each subcategory further and further until you nail down the root cause.

A scatter diagram helps you analyze the correlation of two sets of data. An independent variable (or potential cause) is plotted on the x-axis, while a dependent variable (the observed effect) is plotted on the y-axis. If the dots are grouped to create a line, this means there is a relationship between the two.

By clearly identifying the cause and effect based on data, you can implement solutions quickly and efficiently—even when using data points that may initially seem unrelated to each other.

Identify and Solve Problems With ClickUp

With these root cause analysis tools and methods, finding the problem and creating solutions is easier than ever. Choose one tool or mix and match a few depending on your business needs.

Sign up for ClickUp today to start gathering metrics, identifying problems, and creating solutions in your processes. With AI insights, Whiteboards, and Forms, quickly brainstorm ideas on what’s behind the issue and work collaboratively with your team.

Once you identify the problem, ClickUp makes it easy to instantly assign tasks and create a schedule for implementing solutions. 🏆

Questions? Comments? Visit our Help Center for support.

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Your root cause analysis platform

Causelink supports the most popular rca methods..

Five Whys (Plus)
Ishikawa Fishbone Diagram
Incident Timeline
Cause & Effect Logic Diagrams

Powerful Root Cause Analysis Templates

Do you still capture RCA investigation output on paper? If so, what happens when the meeting is over?

Causelink replaces sticky notes, dry erase boards, and flip charts
Move past Excel, Visio, and PowerPoint templates

We love sticky notes and dry erase boards!

They are like listening to music on vinyl –warm, analog, and they foster a personalized experience. You may post a hundred sticky notes on seven different pieces of flipchart paper by the end of a long day of investigating.

They might be small notes, big notes, different colored notes, with wavy lines connecting everything – a “Beautiful Mind” masterpiece.

But now what?

Several more hours of documenting your output in Excel, Visio, or PowerPoint? Those are great tools, but they weren’t made for root cause analysis - not like Causelink was.

Causelink gives you the flexibility of sticky notes and flipcharts. And when you’re done, you’re done. But don’t take our word for it - try it for yourself.

Causelink captures and organizes RCA findings

Evidence, problem statement, cause and effect, and solutions support your learning culture

Causelink software helps you facilitate — it doesn't get in your way.

Intuitive interface allows you to jump right in — no lengthy training classes or complex documentation to read
Drag and drop functionality gets you quickly to a final product (that everyone can read)
Document evidence, problem information, actions, notes, attachments, and event summary
Export to PDF, DOCX, CSV, or TXT

Built for root cause analysis

Cause & Effect Diagram
Data Export (pdf, docx, csv, txt, srca)
Action Tracking
Drag & Drop
Problem Statement
RCA Templates
Cause Patterns
Fishbone Diagram
Evidence Storage
Report Writer

Ensure corrective and preventive actions are implemented

Assign and track corrective and preventative actions

Solutions don’t work if they aren’t implemented.

Assign actions to team members
Solution workflow tracks actions from initial identification until final validation

Causelink doesn’t just document output, but is a valuable facilitation tool. The chart becomes a critical component to the investigation team – it’s where all the information contributed by team members finds a home. Everyone can easily see where their contribution fits. Team members use the chart to learn from each other to gain a more complete understanding of the causes and how they fit together. They can easily see how their solutions will help reduce the risk of recurrence. And when you’re done, just export the output and share. Causelink dramatically reduces your investigation time while improving the quality of output.

Integrate with other applications

If you're already invested in a separate management system, integrating Causelink Enterprise will boost your RCA capabilities. Causelink Enterprise plays well with others! Many safety, quality, or asset management systems include a basic root cause analysis module, but nothing as flexible or sophisticated as Causelink. Our API easily connects with other systems. Looping Causelink into your existing application seamlessly provides your users with RCA-specific capabilities.

A plan for everyone

Ishikawa/Fishbone Diagrams
Incident Timelines
Cause & Effect Diagrams
Export to PDF, DOCX, and CSV

Cloud-based and mobile-friendly, Causelink Individual is a state-of-the-art RCA investigation tool. Causelink Individual offers the advanced charting performance, intuitive interface, and sharp report output of Causelink Enterprise to the single user.

All Individual features, plus
Team collaboration
Action item report
Solutions report
Groups & permissions
User management
Administrator access

Cloud-based option for up to twenty named users. If you have a smaller team of problem-solvers who need to collaborate on RCA projects, Causelink Team is the solution. Allows teams to work together to analyze problems and track actions.

All Team features, plus
Concurrent user licensing
Advanced reporting
RCA change logs
System access logs
API access & integrations
SSO authentication
On-premise available
Premium support

Cloud-based or On-Premise, Causelink Enterprise is a powerful RCA software tool for large teams and/or multiple locations. Supporting productivity, collaboration and culture, Causelink Enterprise helps solve the toughest problems and gives leaders the power to continuously improve their organization.

Trusted By Leading Businesses

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ISO certified

Causelink is a registered trademark of Sologic, LLC.

We are proud to share that Sologic is an ISO/IEC 27001:2013 certified provider whose Information Security Management System (ISMS) has received third-party accreditation from the International Standards Organization.

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Article • 7 min read

What Is Problem Solving?

Find a solution to any problem you face..

By the Mind Tools Content Team

We all spend a lot of our time solving problems, both at work and in our personal lives.

Some problems are small, and we can quickly sort them out ourselves. But others are complex challenges that take collaboration, creativity, and a considerable amount of effort to solve.

At work, the types of problems we face depend largely on the organizations we're in and the jobs we do. A manager in a cleaning company, for example, might spend their day untangling staffing issues, resolving client complaints, and sorting out problems with equipment and supplies. An aircraft designer, on the other hand, might be grappling with a problem about aerodynamics, or trying to work out why a new safety feature isn't working. Meanwhile, a politician might be exploring solutions to racial injustice or climate change.

But whatever issues we face, there are some common ways to tackle them effectively. And we can all boost our confidence and ability to succeed by building a strong set of problem-solving skills.

Mind Tools offers a large collection of resources to help you do just that!

How Well Do You Solve Problems?

Start by taking an honest look at your existing skills. What's your current approach to solving problems, and how well is it working? Our quiz, How Good Is Your Problem Solving? lets you analyze your abilities, and signposts ways to address any areas of weakness.

Define Every Problem

The first step in solving a problem is understanding what that problem actually is. You need to be sure that you're dealing with the real problem – not its symptoms. For example, if performance in your department is substandard, you might think that the problem lies with the individuals submitting work. However, if you look a bit deeper, the real issue might be a general lack of training, or an unreasonable workload across the team.

Tools like 5 Whys , Appreciation and Root Cause Analysis get you asking the right questions, and help you to work through the layers of a problem to uncover what's really going on.

However, defining a problem doesn't mean deciding how to solve it straightaway. It's important to look at the issue from a variety of perspectives. If you commit yourself too early, you can end up with a short-sighted solution. The CATWOE checklist provides a powerful reminder to look at many elements that may contribute to the problem, keeping you open to a variety of possible solutions.

Understanding Complexity

As you define your problem, you'll often discover just how complicated it is. There are likely several interrelated issues involved. That's why it's important to have ways to visualize, simplify and make sense of this tangled mess!

Affinity Diagrams are great for organizing many different pieces of information into common themes, and for understanding the relationships between them.

Another popular tool is the Cause-and-Effect Diagram . To generate viable solutions, you need a solid understanding of what's causing the problem.

When your problem occurs within a business process, creating a Flow Chart , Swim Lane Diagram or a Systems Diagram will help you to see how various activities and inputs fit together. This may well highlight a missing element or bottleneck that's causing your problem.

Quite often, what seems to be a single problem turns out to be a whole series of problems. The Drill Down technique prompts you to split your problem into smaller, more manageable parts.

General Problem-Solving Tools

When you understand the problem in front of you, you’re ready to start solving it. With your definition to guide you, you can generate several possible solutions, choose the best one, then put it into action. That's the four-step approach at the heart of good problem solving.

There are various problem-solving styles to use. For example:

Constructive Controversy is a way of widening perspectives and energizing discussions.
Inductive Reasoning makes the most of people’s experiences and know-how, and can speed up solution finding.
Means-End Analysis can bring extra clarity to your thinking, and kick-start the process of implementing solutions.

Specific Problem-Solving Systems

Some particularly complicated or important problems call for a more comprehensive process. Again, Mind Tools has a range of approaches to try, including:

Simplex , which involves an eight-stage process: problem finding, fact finding, defining the problem, idea finding, selecting and evaluating, planning, selling the idea, and acting. These steps build upon the basic, four-step process described above, and they create a cycle of problem finding and solving that will continually improve your organization.
Appreciative Inquiry , which is a uniquely positive way of solving problems by examining what's working well in the areas surrounding them.
Soft Systems Methodology , which takes you through four stages to uncover more details about what's creating your problem, and then define actions that will improve the situation.

Further Problem-Solving Strategies

Good problem solving requires a number of other skills – all of which are covered by Mind Tools.

For example, we have a large section of resources to improve your Creativity , so that you come up with a range of possible solutions.

By strengthening your Decision Making , you'll be better at evaluating the options, selecting the best ones, then choosing how to implement them.

And our Project Management collection has valuable advice for strengthening the whole problem-solving process. The resources there will help you to make effective changes – and then keep them working long term.

Problems are an inescapable part of life, both in and out of work. So we can all benefit from having strong problem-solving skills.

It's important to understand your current approach to problem solving, and to know where and how to improve.

Define every problem you encounter – and understand its complexity, rather than trying to solve it too soon.

There's a range of general problem-solving approaches, helping you to generate possible answers, choose the best ones, and then implement your solution.

Some complicated or serious problems require more specific problem-solving systems, especially when they relate to business processes.

By boosting your creativity, decision-making and project-management skills, you’ll become even better at solving all the problems you face.

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List of Top 13 Math Software to Solve Math Problem Efficiently

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List of Top 13 Math Software to Solve Math Problem Efficiently-feature image

Solving math problems has often been stressful for students, engineers, and teachers. However, there are few math software that helps solve and explain complex mathematical equations accurately and efficiently.

There are dozens of Math problem solving programs available online with different specializations and problem-solving abilities. This article will provide you with a list of the top 13 math software that solves math queries efficiently.

Best Math Software for Teachers, Students, and Engineers

Microsoft math solver, khan academy.

We have compiled some of the best math problem solving websites and software for you.

Best Math Software for Students

Students prefer online math software that not only provides accurate answers but also includes step by step guide to the answer. Here are our top choices for math software online .

$Microsoft Math Solver$

Microsoft Math Solver is simple yet powerful math problem solving application available for free on the Microsoft Store. It can be used by students of all levels, from elementary to college.

Microsoft Math Solver Features

Complex Graphing Calculator 
Step-by-step guide builder
Practice question sets
Multiple Languages including Hindi
Powerful scanning and solving
Sketch Calculator

Microsoft Mathematics Pricing: Microsoft Math Solver is a free software for mathematics.

Microsoft Math Solver Compatibility: Users can download and install it in Windows 8 and above. Besides, you can also use the math software online through Edge browser.

Suggested Read: Fun and Educational Best Software for Kids between Age 4-15+

GeoGebra is an open-source software for math calculation, popular among teachers and students due to its interactive learning feature.

The platform supports various mathematical concepts such as geometry, algebra, and calculus and provides different module for each function. It could also be accessed directly via web for online math problem solving.

GeoGebra Features

Create interactive geometric constructions
Quick Graphing Calculator
Interactive learning sessions
CAS and 3D Calculator
Collaborative Whiteboard
Perform statistical analyses
Data Visualization in dynamic graphs

GeoGebra Pricing: GeoGebra is an open-source math software available for free.

GeoGebra Compatibility: Available for Windows, macOS, Linux, Chromebook, and Linux. GeoGebra mobile apps for iOS and Android devices.

Mathway is an online math problem-solving software that offers step by step guide on how to solve a particular math problem. You cannot only find the answer to a specific problem but also determine the way of solving the question.

Mathway Features:

Method Selection
Precalculus problem solver
Graphical representation
Powerful statistical calculation

Mathway Pricing: It is a completely free online math problem solver for both students and teachers.

Mathway Compatibility: It is web-based software and can be used from any device through the web browser.

Suggested Read: Trending Learning Apps for Kids – Best Education Apps for Growing Kids

Photomath is one of the best math problem-solving software for parents, teachers, and students. It’s extremely simple user interface and easy navigation help users to quickly solve any math queries.

Besides students can also use the camera of their mobile device to click and scan a particular math problem. It provides step by step guide to solve it.

Photomath Features:

Point and Click Camera Calculator
Instant scan and Solve Math Problems
Focused process explanations
Personalized Visual Aids
Shared core-alignment
Deep solution extractor

Photomath Pricing: Photomath is a free math solver app available for iOS and Android devices. The premium Photomath Plus plan starts at Rs 387.20/ month with advanced features.

Photomath Compatibility: It is compatible with all Android and iOS devices.

Best Math Software for Teachers

Some math software is designed to help teachers by giving step-by-step solutions to high school or college mathematics problems. These are some of the best online math problem-solving websites that help teachers and professors.

Khan Academy is an ed-tech platform that provides multiple tools to teachers including a large database for math problem solving. It is designed to help teachers with planning and delivering math lessons, as well as assessing student progress.

Khan Academy Features:

Lesson builder
Progress tracker
Huge Resource Pool 
Grade-wise problem bifurcation

Khan Academy App Pricing: Khan Academy is a nonprofit Ed-tech platform. Anyone can study or contribute to the platform for free.

Khan Academy App Compatibility: Khan Academy app is available for both Android and iOS devices. Users can also log in through web browsers.

Suggested Read: Top Online Student Database Management System

QuickMath is another extremely powerful math software on this list specially designed for teachers and students. It allows users to quickly find answers to complicated math problems within a few steps. It also provides multiple formats making it easy for teachers to input algebraic and polynomial expressions.

Quickmath Features:

Inbuilt Advanced Solvers
Example based structuring
Automated Correction
Graphing, equation, and inequalities

QuickMath Pricing: QuickMath is a completely free online math problem solver.

QuickMmath Compatibility: QuickMath is available on both Apple Store and Play store for smartphones. Besides, it could also be used through the web.

Cymath is another powerful math problem-solving software for teachers. It not only provides a step-by-step solution to any problem but also explains every step for logical understanding of a Math concept.

Cymath Features:

Powerful Search feature
Online Equation Solver
Graphing Tools
Wide Range of Mathematical Functions
Reference material learning

Cymath Pricing: Cymath offers a free basic plan with limited features. The premium plan starts at around Rs 400/month with advanced features.

Cymath Compatibility: Cymath is an online math problem-solving website that can be accessed through a browser. It is also available for both Android and iOS devices.

Suggested Read: What is the Purpose of Student Information Systems? Evaluating Best Examples

Open Source and Free Math Software

While academic mathematics is simple, engineering and research level maths are complex. Due to these reasons, engineers, scientists and researchers need open source and free math problem-solving software. Here are three top open source and free software for math problems.

$Scilab math software$

Scilab is a free and open-source math problem-solving software for numerical computation. It provides an interactive environment to perform matrix operations, plot functions, and write algorithms.

Moreover, this free Math software also offers various toolboxes for specific purposes such as statistics, optimization, and signal processing.

Scilab Free Math Software Features:

High-level language for technical computation
Numerical analysis with a huge library of mathematical functions
Interface with C/C++, Fortran, Java, Python, and more
2D & 3D graphical representations of data
Textual and visual programming interface

Scilab Pricing: Scilab is opens source and free math software for engineers and researchers.

Compatibility: Scilab is compatible for Windows, macOS and Linux operating system.

GAP is an open-source system for computational discrete algebra with particular emphasis on computational group theory. GAP has powerful programming language including a library of thousands of functions implementing algebraic algorithms written in the GAP language.

GAP Features:

The inbuilt data type for major algebraic objects
Automated method selection
Pascal-like structure control
Automate garbage and memory management
Profiling and debugging facilities

GAP Pricing: GAP is completely free and open-source math software. Anyone can download and modify the application for non-commercial use.

GAP Free Math Software Compatibility: GAP could be installed in Linux, UNIX, or macOS.

Suggested Read: Best Learning Management Systems (LMS)

Gretl is a free and open-source cross-platform math and statistical package for econometric analysis. Gretl supports numerous linear and nonlinear statistical models, including OLS, 2SLS, GARCH, and so on.

Gretl Free Math Software Features:

MPI Parallelization 
Cross-platform interoperability
Machine Learning Support
Powerful Integrated Scripting Language
Latex File Output Model
Mixed Time Series Frequency report

Gretl Pricing: Gretl is distributed under GNU General public license and can be modified for personal use only.

Gretl Compatibility: Gretl could be installed and modified in Linux, MacOS and Windows.

Math Software for Engineers and Researchers

As an engineer or researcher, you need math software that helps solve complex and unstructured mathematics problems. Here are some of the powerful math problem-solving software for engineers and researchers.

SageMath is a free math software that combines the power of many existing open-source packages into a common Python-based interface. SageMath could also be used online and provides parallel computing capabilities making it an excellent choice for professional mathematicians and engineers.

SageMath Features:

Embedded graphics builder 
A wide range of built-in mathematical functions and libraries
Interfaces to more than 100 open-source packages
Advanced math like cryptography, group theory, commutative algebra, combinatorics, etc
Support for parallel computing with MPI
Multivariate and Univariate Polynomial

SageMath Pricing: SageMath is an open source and free math software program and can be downloaded from the SageMath website.

SageMath Compatibility: SageMath runs on Windows, macOS, Linux and could also be used on cloud.

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GNUPlot is a mathematical graphing utility that produces high-quality 2D and 3D plots for complex mathematical equations. It offers a wide range of features for producing high-quality plots, including support for various types of data. It allows engineers and scientists to visualize data and mathematical functions interactively.

GNUPlot Features:

2D & 3D plotting
Interactive Data visualization
Direct file output ‘
Web display with mouse support
Non-interactive support including web scripting

GNUPlot Pricing: GNUPlot is a copyrighted but free-to-use graphing and math solving program.

GNUPlot Compatibility: GNUPlot runs on Windows, macOS, and Linux.

Maxima is a computer algebra system that enables engineers and scientists to solve complex mathematical problems. It offers a wide range of features for solving mathematical equations like manipulation of numeric and symbolic expressions. Maxima also offers a powerful scripting language that allows users to automate their workflows.

Maxima Features:

Symbolic integration 
ODE solver 
3D plotting 
 High precision numerical results

Maxima Pricing: Maxima is free open-source software released under the GNU General Public License.

Maxima Compatibility: Maxima runs on Windows, Linux, and Macintosh. Besides, its could also be installed on RPM and Debian based systems.

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In conclusion, there are many excellent math problem-solving software programs available for students, teachers, engineers, and researchers. Each program has its own unique features that make it well suited for specific types of mathematical problems.

Choose the program that best suits your needs and budget, and you’ll be on your way to solving even the most complex mathematical equations.

FAQs on Math Problem Solver Tool

Which software is best for mathematics?

Some popular choices among students, teachers and engineers for Math software include SageMath, GNUPlot, and Microsoft Math Solver.

What is the best free Math software?

Mathway, Microsoft Math Solver, and QuickMath are widely popular free math software among students and teachers.

What is the best Math software for PC?

Some popular choices for Math problem solvers for PC include Microsoft Math Solver, PhotoMath, and MathWay.

What is the best Math software for Mac?

Most of the open-source Math software are available for MacOS. GNUPlot, Maxima, and Gretl are some of the best math software for Mac.

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Rajan is pursuing CA with a keen interest in trends and technologies for taxation, payroll compliances, Tally Accounting, and financial nuances. He is an expert in FinTech solutions and loves writing about the vast scope of this field and how it can transform the way individuals and businesses... Read more

Introduction to Problem Solver Software

Problem solving software allows companies to address business problems. This software is an incredibly powerful tool designed to serve as a single repository for all internal and external problem management.

There are various problem-solving methodologies and tools that help identify root causes. Designing problem-solving software provides all these tools to assist in getting to the root of the problem.

Problem solving software is developed based on the CQI20 standard and is compliant with other standard as follows:

ISO 9001:2015
Aerospace AS9145

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Features and Benefits (Problem Solver Software)

Manage problems and incidents.

Problem solving software is an effective problem solving tool that allows you to standardize the problem management workflow.

Track Closure of Investigations

Define timelines and metrics for problem resolution from the problem itself to containment, correction, corrective action, and reporting all the way to closure.

Problem Solving Approaches

Respond to customers in preferred formats, including 8D, 7D, FRA/PRR/PSD, CAR, L0, Advanced CAR, or “Just-do-it” formats defined by the customer. There are many versions of 8D available to support your 8D formats.

Problem Solving Tools

Utilize 5Why, Is/Is Not, 5W2H, Cause and Effect Diagram (Ishikawa/Fishbone) seamlessly.

Linkage to FMEA

Connect 8D/Problem Solving to FMEA, linking detection to prevention.

Supplier Corrective Action

Empower suppliers to complete supplier corrective action.

Escalation to Closure

Ensure escalation to ensure effective closure.

Problem Solving Management by Mobility: Implement the mobile app Problem Solving. Users can create new concerns directly from shop floors on the go, even in offline mode, ensuring flexibility and enabling real-time data collection. Problem Solving is available in the Google Play Store (Android) and Apple App Store (iOS).
Comprehensive Compliance: Use Problem Solver to ensure alignment with various standards such as ISO 9001, IATF 16949, ISO 14001, ISO 45001, CQI 20 and more. Ensure your organization adheres to these standards through robust processes for problem solving management.
Supplier Problem Management: Use Problem Solver for Supplier Problem Management. Using Problem Solver will offer you to have a real-time reporting, enabling organizations to make informed decisions about their supply chain partnerships.
Saving resources: Using Problem Solving Management software you’ll save resources through improved efficiency and well-structured implemented processes. By resources, we mean all the things involved in the process to achieve the desired results. The EWQIMS system reduced the time needed to solve and close an issue and the paper usage by 100% compared to the previous system. All the issues can be managed in one single place.
Management of all types of issues: Using Problem Solver software, can be defined approaches for various scale of problems (e.g., current manufacturing issues, customer claims, audit findings, field failure, supplier issues …) and various types - quality assurance (external and internal), environmental, and health and safety issues.
Real-time reporting: The various reports updated in real-time allowed managers to plan future improvements based on the reporting tool built into the software, supported by the easy-to-use dashboard. The occurrence of the problem for other sites can be avoided by the lesson learned that can be shared in real-time with all the company’s sites.

What are the types of issues that can be addressed?

Using the software can be defined approaches for various types and scale of problems (e.g., current manufacturing issues, customer claims, audit findings, field failure, supplier issues, etc.)

What are the tools that can be used within this software?

There are different practical Problem-Solving Tools to address daily to complex issues, like 5 Whys, Fish-bone, 5W and 2Hs, Is – Is not analyze, 8D report.

What are the templates that can be used?

Through the use of software, templates can be created and adapted exactly to the unique needs of the organization, far exceeding the capabilities of standard products.

Why use software for problem solving?

Saving resources through improved efficiency or well-structured processes is what we aim for by using software. By resources, we mean all the things involved in the process to achieve the desired results.

Does the software comply with standards?

The Problem Solving software is developed based on the CQI20 standard and is compliant with other standards as ISO, IATF 16949, AS9145, etc.

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Nine essential problem solving tools: The ultimate guide to finding a solution

Problem solving diagrams

1. Fishbone diagrams

2. Flowcharts

3. Strategy maps

Problem solving mind maps

4. Mental maps

5. Idea maps

6. Concept maps

Problem solving software solutions

7. Layered process audit software

8. Charting software

9. MindManager

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What Is Problem Solving? How Software Engineers Approach Complex Challenges

What Is Problem Solving?

The Importance of Problem-Solving Skills for Software Engineers

Driving Development Forward

Innovation and Optimization

Increasing Efficiency and Productivity

Improving Software Quality

Problem-Solving Techniques in Software Engineering

Decomposition

Abstraction

Algorithmic Thinking

Parallel Thinking

Testing and Validation

Evaluating Problem-Solving Skills

Recognizing Problem-Solving Skills in Candidates

Assessing Problem-Solving Skills

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9 Essential Problem Solving Tools: The Ultimate Guide

Problem solving diagrams

1. Fishbone diagrams

2. Flowcharts

3. Strategy maps

Problem solving mind maps

4. Mental maps

5. Idea maps

6. Concept maps

Problem solving software solutions

7. Layered process audit software

8. Charting software

9. MindManager

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