Goals & Progress
Whether the winner actually holds
A weighted decision matrix scores each option against the things you actually care about, weighted by how much each of those things matters. It turns an argument you keep having with yourself into arithmetic you can look at.
The part most matrices leave out is whether the answer is stable. This one runs a sensitivity check: it pushes each weight to its extremes in turn and tells you whether the winner survives. A result that flips when you nudge one number is not a decision, it is a coin toss with extra steps.
Score the options against what actually matters
List what you are choosing between, name the criteria that matter and how much each one weighs, then score every option. The matrix does the arithmetic, and the sensitivity check tells you whether the winner is genuinely ahead or whether it flips the moment you nudge a weight.
1. What are you choosing between?
Two to five options works best. More than that and scoring becomes guesswork.
2. What matters, and how much?
Weight each criterion from 1 to 10. Drag to reorder. The weights are relative, so they do not need to add up to anything.
3. Score each option, 1 to 10
How well does this option deliver on this criterion? Score the option itself, ignoring how much the criterion weighs.
The result
How to use it
- List the options. Two to five. More than that and the scoring turns into guesswork.
- Name what matters and weight it 1 to 10. Weights are relative, so they do not need to total anything. Drag to reorder.
- Score each option 1 to 10 on each criterion. Score the option itself and ignore the weight, otherwise you count the same thing twice.
- Read the result, then read the sensitivity line. That second part is the one worth your attention.
What it looks like with a real decision
Why the sensitivity check matters
A weighted matrix will always produce a winner. That is its weakness as much as its strength, because a number carries an authority the underlying guesses have not earned. If your top two are separated by a tenth of a point, the matrix has not decided anything, it has just told you the options are close.
So the tool reports one of three things. The options are level and nothing separates them yet. Or the winner holds no matter which single weight you push to its extreme. Or the winner is fragile, and it names the criterion that flips it. In that last case the useful next conversation is about the weight, not the answer.
Where it helps, and where it does not
- Decisions with several options and several criteria that pull against each other
- Choices you keep circling because different criteria feel decisive on different days
- Any decision where you suspect you have already picked and are looking for support
- It is a poor fit when one criterion genuinely dominates. If the answer is "whichever is safest", you do not need a matrix.
- It is a poor fit when the real blocker is that you do not want the honest answer.
Related guides and tools
- Decision making frameworks - when a matrix is the right instrument and when it is not
- Prioritization decision matrix guide - the same maths applied to a backlog
- Decision science and prioritization - the research behind weighting
- Life Areas Map - the same weighting logic across ten life areas
