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Weighted Decision Matrix illustration

Weighted Decision Matrix

A weighted decision matrix (Kepner-Tregoe style) for choosing between apartments, job offers, laptops or vendors: list your criteria with weights, score every option against each criterion, and the tool computes weighted totals, a full ranking and each criterion’s contribution to every score. Three normalization modes let you compare raw weighted sums, weights normalized to 100%, or scores rescaled 0–10 per criterion so one coarse scale cannot dominate. The sensitivity analysis is the honest part: for every criterion it finds the smallest weight change that would crown a different winner — if a tiny nudge flips the result, your decision is really a coin toss dressed in numbers.

Read the full guide to this tool

Weights on any positive scale — only their ratios matter.
One score per criterion, in the same order as the criteria list. Any consistent scale works; 1–10 is common.

Notes

  • Garbage in, garbage out: the matrix only launders the judgments you feed it. Its real value is forcing you to write the criteria down and to see which single number your decision secretly hinges on.
  • Read the sensitivity table before trusting the winner: "raise Commute from 4 to 4.25 and the runner-up wins" means the ranking is fragile; "no flip between 0 and 5×" means the winner is robust to how you weighted things.
  • Rescaling scores 0–10 per criterion stops a criterion scored 0–100 from silently outvoting one scored 1–5 — if the ranking changes between modes, your scales were doing the deciding, not your preferences.

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