PUGH Matrix explained: including an Example and Template

Article by: Lars Weijers

Last update: May 5, 2026

A PUGH matrix helps you compare multiple options in a structured way. This is particularly useful when a decision is important, but the differences between alternatives aren’t immediately clear. By establishing criteria in advance and evaluating each option against the same standards, you gain a clearer overview. Discussions become more concrete, and the likelihood of making a decision based on gut feelings or assumptions decreases.

In this article, you’ll learn what a PUGH matrix is, where the method comes from, and how to apply it step by step. You’ll also see which criteria you can use, when the method is appropriate, and how a PUGH matrix calculator helps you arrive at a better-informed decision more quickly. You can also use a downloadable PUGH matrix calculator template to clearly compare alternatives, criteria, and scores side by side. Enjoy reading.

What is a PUGH matrix?

A PUGH matrix is a decision tool for comparing several options in a structured way. It is often used when there is one problem, but more than one possible solution.

The method works with a fixed set of criteria. These are the points you use to judge each option. In a product or process decision, this might include cost, feasibility, risk, expected impact, ease of use or time needed to implement the solution.

The value of the PUGH matrix is in the side by side comparison. Each alternative is measured against the same points. That makes the discussion less vague. It also shows where an option scores well and where it may cause problems later.

This does not mean the matrix makes the decision for you. People still need to interpret the outcome. But it does force the team to explain why one option is better than another. That makes the final choice easier to discuss, defend and improve.

Origin of the PUGH Matrix

The PUGH matrix was developed by Stuart Pugh, a British engineer and design researcher. His work focused mainly on product development and engineering design.

In that environment, teams often had to choose between several design concepts. On paper, each idea could look promising. In a meeting, however, the discussion could quickly become subjective. One person preferred concept A, another trusted concept B, and a third looked mainly at cost or technical risk.

Pugh wanted to make that comparison more disciplined. Not by removing professional judgement, but by giving it a clearer structure. Teams first had to agree on the criteria. Only then could they compare the alternatives in the same way.

That is where the PUGH matrix comes from. It was built for situations where a choice needs more than a quick opinion, but where teams also need a method that stays practical.

The method is still used today because that problem has not disappeared. Product teams, improvement teams and project groups still need to choose between options. A fixed comparison table helps keep that discussion sharper, especially when several people or departments are involved.

How does the PUGH matrix work?

A PUGH matrix starts with one option as the benchmark. Often this is the current solution, an existing product or the idea that is already on the table.

The other options are placed next to it. Then the team checks each option against the same points. Price. Quality. Risk. Time. Ease of use. Whatever matters for the decision.

The scoring stays very simple:

+ : better than the benchmark
0 : no real difference
– : worse than the benchmark

A small example makes this clearer. Suppose a team compares three product ideas. One idea is cheaper, but harder to build. Another is more expensive, but easier for the customer. The matrix shows those trade-offs in one table. That prevents the conversation from staying vague.

Most PUGH matrices contain these parts:

Alternatives: the options being compared
Reference concept: the option used as the benchmark
Criteria: the points used to judge the options, such as cost, risk, quality or ease of use
Scores: the plus, zero or minus for each criterion
Final score: the total picture after all options have been compared

The outcome is not a magic answer. A high score can still hide a serious risk. A lower score can still be interesting if one criterion is very important. That is why the PUGH matrix works best as a discussion tool, not as a blind calculation.

Example of a PUGH matrix

To illustrate how the PUGH matrix works, it is helpful to look at a simple example. Suppose an organization must choose between three project management software tools. The current tool is used as a baseline.

The alternatives are then evaluated based on criteria such as cost, ease of use, integration capabilities, and support. For example, Tool A scores higher on ease of use (+), the same on cost (0), and lower on integrations (–). Tool B, on the other hand, scores higher on integrations (+) but lower on cost (–). By clearly plotting these scores in the PUGH matrix, you immediately gain insight into which solution performs best across multiple criteria.

Examples like these demonstrate the strength of the method: it reveals differences that would otherwise remain hidden in discussions. This makes it easier to justify decisions and reach consensus within a team.

Figure 1 – an example of a PUGH matrix

Creating a PUGH Matrix Step by Step

A PUGH matrix does not need a heavy setup. The main work is deciding what you are comparing and what really counts in the decision.

Step 1: Identify Alternatives

Start with the options on the table. These may be product ideas, suppliers, process changes, design routes or project choices.

Be selective here. A matrix with twelve options quickly becomes messy. Three to five serious alternatives is often easier to discuss than a long list of half-developed ideas.

Step 2: Choose Criteria

Next, decide what you will look at. Cost is often one point. Quality, risk, time, customer value, ease of use or technical feasibility may also matter.

Do not make the list too long. When every small detail becomes a criterion, the matrix loses focus. Use criteria that actually influence the choice.

Step 3: Choose a Reference

Choose one option as the reference. This is the baseline for the comparison.

Often this is the current solution. People know what works, what causes problems and what it costs. That makes it easier to judge whether a new option is an improvement, a risk or mainly a different version of the same idea.

Step 4: Evaluate by Criterion

Now compare each option with the reference. Do this one criterion at a time. That keeps the discussion cleaner.

Use the same simple score each time:

+ = better than the reference
0 = about the same
– = worse than the reference

For example, one option may score better on cost, but worse on quality. Another option may take more time, but create less risk later. Write that down in the matrix. Do not try to solve the whole decision in your head.

Step 5: Draw Conclusions

Count the pluses and minuses, but do not stop there. Look at the pattern behind the scores.

An option with many pluses can still be weak on one point that really matters. A lower scoring option can still be worth discussing if it performs well on the most important criterion.

Use the outcome as input for the final decision. The matrix helps you see the trade-offs more clearly. The choice itself still needs judgement.

Choosing the Right Criteria for a PUGH Matrix

A PUGH matrix stands or falls with the criteria. Choose vague criteria, and the outcome becomes vague too. The table may still look neat, but the decision behind it remains weak.

Start with the choice you need to make. Are you comparing suppliers? Product ideas? Process changes? A technical solution for a customer problem? Each situation needs slightly different criteria.

Take “quality” as an example. That word is often too broad. For one team, quality means fewer defects. For another team, it means a better finish, longer lifespan or fewer customer complaints. Write down what you actually mean before scoring the options.

It also helps to involve more than one perspective. Engineering may look at feasibility. Finance looks at cost. The user or customer may care more about convenience, speed or trust. If one view dominates too much, the matrix can push the team toward the wrong choice.

Common mistakes are:

Using broad words that nobody defines properly
Leaving out a factor that later becomes a problem
Looking only from the supplier, team or technical side
Scoring criteria while people mean different things by the same word

Criteria often used in a PUGH matrix include:

Cost
Quality
Ease of use
Risk
Implementation time
Technical feasibility
Customer value

When should you use a PUGH matrix?

A PUGH matrix is most effective when you have multiple alternatives and want to evaluate them based on various criteria. Think of situations such as product development within an organization. The method helps bring structure to discussions and clarifies the differences between options. This results in decisions that are not only better substantiated but also easier to justify within a team.

The PUGH matrix is less suitable when there is already a clear choice, or when the evaluation cannot be determined objectively. Therefore, use the method deliberately. In summary: use a PUGH matrix when you want to structure complex choices.

Download the PUGH Matrix Calculator (template)

Want to apply the PUGH Matrix right away? With this downloadable PUGH Matrix Calculator template, you can clearly compare alternatives, criteria, and scores side by side. This saves you from having to do the math yourself and lets you see more quickly which option stands out the most.

The calculator helps you make more concrete decisions. You enter the criteria, compare alternatives to a reference, and automatically see how the options score. This provides more guidance during discussions, prevents scattered opinions, and makes it easier to explain a choice to others.

The template is especially useful when making decisions about products, processes, software, projects, or improvement ideas. Even when the outcome isn’t immediately clear, the PUGH matrix calculator helps to sharpen the discussion. You’ll see not only which option scores high, but also why that’s the case.

Download the PUGH Matrix template

For members only | Get instant access to this PUGH Matrix template plus unlimited access to 1,200+ expert articles and tools. Explore Membership Options

PUGH Matrix vs. Other Decision-Making Methods

In addition to the PUGH matrix, there are several other methods that aid in decision-making, such as the SWOT analysis, a decision matrix, or a weighted scoring model. These methods are similar, but each serves a different purpose.

A SWOT analysis primarily helps identify strengths, weaknesses, opportunities, and threats. This provides direction but compares alternatives less directly. A weighted scoring model often uses weights per criterion. This is useful for complex choices but requires more preparation.

The PUGH matrix falls practically in between. The method uses a single reference concept and a simple score per criterion. This allows you to quickly see where an alternative performs better, equally, or worse than the current or chosen solution. This makes the method particularly suitable when a team wants to quickly bring structure to a decision.

Common Mistakes in a PUGH Matrix

When using a PUGH matrix, even small choices can have a significant impact on the outcome. The method seems simple, but it does require careful attention. In particular, the choice of criteria, alternatives, and reference determines how reliable the comparison will be.

A common mistake is formulating criteria too broadly. Think of words like “good”, “fast”, or “user-friendly” without further explanation. As a result, everyone evaluates the criterion differently. Therefore, make criteria concrete. Describe what is meant by them and when an alternative scores better, the same, or worse than the reference.

Forgetting relevant alternatives is also common. If one possible solution is not included, the outcome can give a distorted picture. Therefore, list all serious options in advance. Also discuss whether the current situation is truly suitable as a reference concept.

Additionally, be mindful of overly one-sided assessments. For example, a technical solution may appear strong in terms of cost or feasibility but may be less suitable for the user. Therefore, incorporate multiple perspectives, such as technology, cost, ease of use, risk, and user acceptance.

Common mistakes include:

Criteria are too general or overlap.
Important alternatives are not considered.
The reference is not chosen logically.
Scores are not applied consistently.
The assessment is conducted from a single perspective.
The outcome is viewed as absolute truth.

A PUGH matrix works best when stakeholders receive the same explanation of the criteria and scores in advance. Therefore, discuss not only the total score but also the differences per criterion. It is precisely there that the best discussions about risks, preferences, and areas for improvement often arise.

Making Better-Informed Decisions

The PUGH matrix is a practical method for comparing multiple options in a calm and structured way. By defining criteria in advance, selecting a reference point, and applying scores consistently, it provides greater clarity in complex decision-making.

The method works particularly well when the discussion would otherwise quickly get bogged down in preferences, assumptions, or isolated opinions. A PUGH matrix makes differences visible. This makes it easier to explain choices, improve alternatives, and arrive at a better-informed decision together.

Recommended books and articles on the Pugh Matrix

The Pugh Matrix is particularly useful when there are multiple options on the table and a decision cannot be made based solely on intuition. The books and articles listed below provide further background on concept selection, criteria, reference options, and decision-making. They clearly demonstrate how the method helps make choices more open to discussion, easier to compare, and better substantiated.

Augustine, M., Yadav, O. P., Jain, R., & Rathore, A. P. S. (2010). Concept convergence process: A framework for improving product concepts. Computers & Industrial Engineering, 59(3), 367–377. → This resource is particularly useful when concept selection is not the end goal, but rather an intermediate step. The article demonstrates how comparing options can lead to better combinations and refined concepts. This aligns well with the practical application of the Pugh Matrix: choosing, learning, and improving often go hand in hand.
Cross, N. (2008). Engineering design methods: Strategies for product design (4th ed.). Chichester, England: John Wiley & Sons. → Cross demonstrates how designers analyze problems, make choices, and refine solutions. This is relevant to the Pugh Matrix because effective decision-making starts with clear criteria and a solid understanding of the problem. Without that foundation, comparisons quickly become superficial.
Frey, D. D., Herder, P. M., Wijnia, Y., Subrahmanian, E., Katsikopoulos, K., & Clausing, D. P. (2009). The Pugh Controlled Convergence method: Model-based evaluation and implications for design theory.
Research in Engineering Design, 20, 41–58. → This article takes a closer look at Pugh Controlled Convergence, the method used to systematically compare and refine concepts. It explains why a reference option is important. This reference highlights differences and helps teams avoid settling too quickly on a single preferred solution.
Guler, K., & Petrisor, D. M. (2021). A Pugh Matrix based product development model for increased small design team efficiency. Cogent Engineering, 8(1), 1923383. → This is particularly useful for smaller teams that want to make careful choices despite having limited time and resources. The article demonstrates how the Pugh Matrix can help make discussions more concrete. Criteria, weightings, and reference solutions provide greater structure and reduce arbitrariness.
Lønmo, L., & Muller, G. (2014). Applying Pugh matrices in the subsea processing domain. Proceedings of the INCOSE International Symposium. → This article demonstrates how Pugh matrices are applied in a technical and complex environment. It is precisely in such situations that the method proves valuable, as decisions often have far-reaching consequences. The matrix highlights where alternatives are stronger or weaker, thereby making decision-making less dependent on assumptions.
Pugh, S. (1991). Total design: Integrated methods for successful product engineering. Wokingham, England: Addison-Wesley. → An important foundational source by Stuart Pugh himself. This book shows how design choices are developed step by step. It also makes clear that the Pugh Matrix is not just a standalone table, but part of a broader process in which customer needs, criteria and alternatives are connected.
Pugh, S. (1996). Creating innovative products using total design: The living legacy of Stuart Pugh. Reading, MA: Addison-Wesley. → This book helps readers better understand Pugh’s way of thinking. It emphasizes careful comparison, learning from differences, and refining ideas during the decision-making process. This aligns well with the core of the Pugh Matrix: not just choosing what seems best at the moment, but also discovering how options can be improved.
Ulrich, K. T., Eppinger, S. D., & Yang, M. C. (2020). Product design and development. New York, NY: McGraw-Hill Education. → A widely used resource in product development. The book explains how concept selection fits into the broader context of customer needs, design, testing, and implementation. As a result, it is a valuable resource for anyone who wants to use the Pugh Matrix to evaluate ideas, prototypes, or new solutions.

How to cite this article:
Weijers, L. (2026). PUGH Matrix. Retrieved [insert date] from Toolshero.com: https://www.toolshero.com/decision-making/pugh-matrix/

Original publication date: May 1, 2026 | Last update: May 5, 2026

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Article by:

Lars Weijers

Lars Weijers is an experienced copywriter with an extensive marketing communications background. His specialisms lie in creative and active writing, combined with good search engine findability. Lars also works as an event and account manager with a commercial focus.