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Weighted Decision Matrix

Compare options against weighted criteria and rank them by score. Set weights, mark cost or benefit criteria, rate 0 to 10, export to Markdown or CSV.

Start here

Load an example, then edit everything

Rate each option from 0 to 10 on each criterion. Set how much each criterion matters with its weight.

Criteria

What matters, and how much

  • Direction
  • Direction
  • Direction
  • Direction
  • Direction

Weights are normalized automatically, so they do not need to add up to 100. A criterion marked Lower is better (such as price or risk) counts a low rating as a strength.

Score the options

Rate each option 0 to 10 per criterion

OptionSalaryhigherWork-life balancehigherCommutelowerGrowthhigherTeamhigherScoreRow
6.39
7.83
6.56

Scores use a 0 to 10 scale. Values outside that range are clamped, and a blank cell counts as 0.

Result

Top choice: Offer B (7.83 of 10)

  1. Offer B
    7.83
  2. Offer C
    6.56
  3. Offer A
    6.39

How to use

  1. Click an example such as Job offer or Buy a laptop to load a starting template, or edit the default matrix directly.
  2. In the Criteria section, name each thing that matters and set its weight. Weights are relative, so they do not need to total 100.
  3. Set each criterion's direction: leave it on Higher is better for things like quality, or switch it to Lower is better for costs like price or risk.
  4. In the table, rate every option from 0 to 10 on each criterion. Blank cells count as 0 and out-of-range values are clamped.
  5. Read the live ranking and the highlighted top choice, then copy the matrix as a Markdown table or CSV. Everything runs in your browser.

About this tool

Weighted Decision Matrix is a structured way to choose between several options when more than one factor matters. It is also called a weighted scoring model, a decision grid, a prioritization matrix, or a Pugh matrix, and it replaces a vague gut feeling with a number you can explain. Unlike a spinner or a random name picker, this tool is fully deterministic: the same inputs always produce the same ranking, and you can see exactly why one option won. You list your options as rows (the job offers, laptops, vendors, apartments, or features you are deciding between) and your criteria as columns (the things you care about). Each criterion gets a weight that says how much it matters relative to the others. The weights do not need to add up to 100 or to any particular total, because the tool normalizes them for you, so you are free to type a simple 1 to 5 scale, raw percentages, or any positive numbers and trust that only the proportions matter. Each criterion also has a direction. A benefit criterion (Higher is better) rewards a high rating, which suits things like quality, salary, or battery life. A cost criterion (Lower is better) rewards a low rating, which suits things like price, commute, or risk; for those the tool inverts the rating internally so a low cost still pushes the total score up, letting you keep every cell on the same intuitive 0 to 10 scale instead of mixing in negative numbers. You then rate every option from 0 to 10 on each criterion, and the matrix continuously computes a weighted score for each option on that same 0 to 10 scale, ranks them from best to worst with ties sharing a rank, and highlights the leader along with a bar that shows how close the runners up are. Loading one of the built in examples (a job offer, a laptop purchase, a vendor choice, or where to live) gives you a working template you can edit in seconds, and you can add or remove options and criteria up to a sensible limit. When you are done you can copy the whole matrix as a Markdown table to drop into notes, a wiki, or a pull request, or as CSV to open in a spreadsheet. Everything is computed in your browser as you type, so your options, criteria, and scores are never uploaded, there is no signup, and there is no account. The result is a recommendation and a way to think clearly, not a guarantee; the quality of the ranking depends on honest weights and honest ratings, so it is worth revisiting them and trying a small change to see how sensitive the winner is.

Free to use. Works in your browser. No signup, no login.

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