Compare up to 4 options with weighted criteria. Make better choices — objectively.
Add criteria and assign each a weight (importance out of 10).
Score how well each option meets each criterion.
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See the Bundle →Common questions, straight answers
A decision matrix is a structured way to compare options against the criteria that actually matter to you. Instead of going with gut feel or whichever option you thought about last, you name your options, weight your criteria, score each option 0–10, and let the weighted math show you the objective best choice.
Three steps: name up to four options — job offers, apartments, tools, anything; add your criteria and give each a weight from 1–10 for how much it matters; then score every option against every criterion and hit Calculate. The tool does the weighted math and ranks your options instantly.
Weight reflects importance, not preference — the most important criterion gets the highest number, usually 8–10, and everything else scales down from there. If all your weights are equal, the matrix still works; it just becomes a simple average. The key is deciding what matters before you score anything.
Yes. ADHD decision-making tends to stall on overwhelm and analysis paralysis — too many options, too much emotional noise. A decision matrix externalizes the trade-off, breaks it into tiny scoring steps, and produces a number instead of a feeling. It turns a draining decision into a five-minute task.
Absolutely — job offers are the classic use case. Criteria like salary, commute, growth, and team culture each get a weight, and each offer gets scored honestly against them. The matrix won't make the choice for you, but it surfaces the trade-offs you'd otherwise gloss over when one option is emotionally louder than the rest.
No — they solve different problems. The Eisenhower matrix sorts tasks by urgency and importance to decide what to do next. The decision matrix compares options against weighted criteria to decide which option to pick. Use the Eisenhower matrix for your to-do list and the decision matrix for choices.