A decision matrix is a grid for comparing several options against the criteria that matter, so trade-offs are explicit instead of argued in circles. A weighted decision matrix adds a weight to each criterion so the factors you care about most count more. To build one, list the options you're choosing between, list the criteria you'll judge them on, weight each criterion by importance, then score every option on every criterion; the option with the highest weighted sum ranks first. This free tool runs client-side and requires no account. It computes a simple weighted sum to aid your thinking — it is not advice and does not decide for you. The full Argumentree app extends the same idea with group input so a whole team can weigh in, argument capture so the reasoning behind each score is recorded, and a shareable decision record documenting how and why the choice was made.
Compare your options against the criteria that matter. Add rows and columns, weight each criterion, score each option, and see a live ranked result. Free, no signup — it all runs in your browser.
3 options · 3 criteria
| Option | ||||
|---|---|---|---|---|
95 | ||||
85 | ||||
82 |
This is a simple weighted sum (each option's total is the sum of score × weight) meant to aid your thinking — it is not advice and doesn't decide for you. Everything stays in your browser; nothing is uploaded or saved to a server, and refreshing the page clears the matrix.
A decision matrix turns a fuzzy "which should we pick?" into a structure you can reason about: options down the side, the criteria you care about across the top, and a score in every cell. Weighting the criteria makes the important factors count more. Here's the workflow the tool above follows.
Put each option you're genuinely considering in its own row — the project management tools you're comparing, the vendors on your shortlist, the job offers on the table. Keep it to the real contenders; a matrix with fifteen options nobody would actually pick just adds noise.
Add a column for each factor that will drive the decision — ease of use, price, integrations, support, and so on. Then give each one a weight from 1 to 5 based on how much it matters. This is the step that separates a weighted matrix from a plain one: a great score on something you barely care about shouldn't beat a solid score on the thing that actually decides it.
Go cell by cell and rate each option from 1 to 10 on each criterion. Score honestly and consistently — the same 8 should mean roughly the same thing in every row. The tool multiplies each score by the criterion's weight and adds them up, so the totals update live as you type.
The highest weighted total ranks first, and the tool highlights it. But the number is a prompt, not a verdict: if the "winner" feels wrong, that usually means a weight or a score doesn't reflect what you really believe — which is exactly the useful part. For a broader treatment of the method, see what is decision making, or try the AI pros and cons generator for a yes/no call.
A decision matrix is a simple grid for comparing several options against the criteria that matter to you. Each option is a row, each criterion is a column, and you score how well each option meets each criterion. Adding up the scores gives a single number per option, so instead of arguing in circles you can see, at a glance, how the choices stack up. It's a thinking aid — it makes your trade-offs explicit rather than making the decision for you.
A weighted decision matrix adds one step to a plain matrix: you give each criterion a weight to reflect how important it is. List your options as rows and your criteria as columns, assign each criterion a weight (here, 1 to 5), then score every option against every criterion (here, 1 to 10). Each option's total is the sum of score × weight across all criteria. Weighting means a strong score on a criterion you barely care about no longer outweighs a decent score on the thing that actually matters. The tool on this page does the arithmetic for you as you type.
Yes. The tool on this page is completely free and runs entirely in your browser — there is no signup, no account, and nothing is sent to a server. You can build a weighted decision matrix, rank your options, and copy the results as text without creating an account. The full Argumentree app, which adds group input, argument capture, and a shareable decision record, offers a free tier plus paid plans for teams.
A Pugh matrix is a variation of the decision matrix used in design and engineering. Instead of scoring every option on an absolute scale, you pick one option as a baseline (the datum) and rate each other option as better (+1), worse (−1), or the same (0) on each criterion, relative to that baseline. It's quick for a first-pass comparison. The weighted matrix on this page uses absolute scores instead, which gives you finer resolution when options are close.
A decision matrix is most useful when you have a handful of viable options and several competing criteria, and no option is obviously best on every axis — choosing project management software, a vendor, a job offer, or a feature to build next are typical cases. It's less useful for a yes/no call (a pro/con list fits that better) or for a decision driven by one overriding factor. If the criteria themselves are contested, or several people need to weigh in, that's where structured group discussion adds more than a solo grid.
This tool is yours to use free, no signup. When a decision involves your whole team, the full Argumentree app adds group input so everyone can weigh in, argument capture so the reasoning behind each score is recorded, and a shareable decision record documenting how and why you chose — not just a lone spreadsheet.
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