Decision Matrix Tool
| Criteria | Weight |
|---|---|
| Weighted Total |
Results
What is a decision matrix
A decision matrix is a scoring table that compares multiple options against weighted criteria. You list the things you care about, assign each one a weight, score every option, and let the math surface the best choice.
It works because it forces you to separate “what matters” from “how well each option delivers.” Without a matrix, people tend to fixate on one or two criteria and ignore the rest. The weighted structure prevents that.
Decision matrices are used across product management, vendor selection, hiring, and personal choices like job offers or apartment hunting. Any time you have three or more options and multiple factors to consider, a matrix helps.
How to use this tool
Start with the pre-filled example or clear it and build your own. Here is the process:
- Name your options across the top. Click any option header to rename it. Use “+ Add option” to add more columns.
- List your criteria down the left side. These are the factors that matter to your decision. Use “+ Add criterion” for more rows.
- Set weights in the Weight column. Higher numbers mean that criterion matters more. You can use any scale. The tool normalizes automatically, so weights of 2-4-6 produce the same result as 1-2-3.
- Score each option on each criterion. Use a consistent scale (the default is 1-10). Higher is better.
- Read the results. The weighted total row and bar chart update as you type. The highest-scoring option is highlighted in green.
When you are done, copy the matrix as a Markdown table for pasting into docs, GitHub issues, or Notion. Or download a CSV for spreadsheets.
When to use a weighted decision matrix
A decision matrix is most useful when:
- You have 3+ options that all seem reasonable
- Multiple criteria matter, and they are not equally important
- You need to justify a decision to a team or stakeholder
- You want to reduce bias toward a gut-feel favorite
For simple binary choices or situations where one factor dominates everything else, a matrix adds overhead without much value. A pros/cons list or a quick Eisenhower prioritization works better there.
Decision matrix vs. Pugh matrix
A Pugh matrix (also called a Pugh method or concept screening matrix) compares every option against a baseline, usually the current state or status quo. Each criterion gets a simple score: better (+1), same (0), or worse (-1). The option with the highest net score wins.
A weighted decision matrix scores each option independently on a numeric scale and applies weights. It produces more granular results but takes more effort to fill out.
Use a Pugh matrix for early-stage screening when you have many options and need to narrow the field. Switch to a weighted matrix when you are down to a shortlist and need a defensible final pick.
How to assign weights
The hardest part of any decision matrix is choosing weights. A few approaches that work:
- Relative ranking. Order your criteria from most to least important, then assign descending numbers (5, 4, 3, 2, 1). Simple and fast.
- Pairwise comparison. Compare each criterion against every other one. The criterion that wins more comparisons gets a higher weight.
- Budget allocation. Imagine you have 100 points to spend across all criteria. Distribute them based on importance.
The specific numbers matter less than the ratios. If quality is twice as important as speed, any pair like 6/3 or 10/5 produces the same result. This tool normalizes weights automatically, so you do not need to make them add up to any particular total.
Frequently Asked Questions
What is a decision matrix?
A decision matrix is a table that helps you evaluate and compare multiple options against a set of weighted criteria. You list your options as columns, your criteria as rows, assign a weight to each criterion based on importance, then score each option. The weighted totals reveal which option best fits your priorities.
How do you assign weights in a decision matrix?
Weights reflect how important each criterion is relative to the others. You can use any positive numbers -- the tool normalizes them automatically. If cost matters twice as much as speed, give cost a weight of 6 and speed a weight of 3. The exact scale does not matter, only the ratios between weights.
What is the difference between a decision matrix and a Pugh matrix?
A Pugh matrix compares options against a single baseline (usually the status quo), scoring each criterion as better (+1), same (0), or worse (-1). A weighted decision matrix scores each option independently on a numeric scale and multiplies by criterion weights. The Pugh method is faster for early screening. A weighted matrix gives more precise results when you need a final decision.