Pick the option,not the loudest opinion.
Gut calls feel decisive and age badly. A weighted decision matrix forces the trade-offs into the open: name the criteria, weight what actually matters, score each option, and let the math rank them. You walk out with a winner and the receipts to back it.
Your matrix
Weight each criterion 1–5 (how much it counts), then score every option 1–10 (higher is always better — flip negatives like cost or effort so low = high score).
| Criterion · weight | |||
|---|---|---|---|
The ranking
Ranked, normalized to %
The read
Hire an agency tops the matrix at 73%, ahead of Do nothing by 13%. Wide enough to act on. Stress-test the heaviest weight to be sure.
Max possible · 120 pts · total weight 12
The trade-off · what the matrix made you admit
Why weighted beats gut
The value isn't the winner — it's the moment you had to put a number on how much each criterion counts. A weight of 5 on Cost versus a 2 on the rest is a statement: this is what the decision is really about. Change it and the ranking re-sorts in front of you. If nudging one weight flips the winner, you've found the real decision hiding inside the spreadsheet.
Copy the matrix into your decision doc. "We weighted it and this won" survives a rethink six months from now; "it felt right" doesn't.
Your move
The matrix ranks your options. I'll pressure-test the one that won.
Weighted decision matrix: Hire an agency wins at 73%, Do nothing second at 61%.
A weighted score is only as good as the criteria you fed it — and the choices that move a business hardest are usually the ones where the weights are quietly wrong. Bring me the decision (agency vs. in-house, channel mix, which offer to lead with) and I'll poke holes in the matrix with you, free, and tell you what I'd weight differently.
Plain English
A weighted score beats a hunch every time.
A weighted decision matrix is a scoring model for choosing between options when more than one thing matters. You list your criteria (cost, impact, effort, risk), give each a weight for how much it counts, then score every option against every criterion. The tool multiplies, sums, and ranks. The highest weighted total wins.
The point isn't the number. It's the discipline. The moment you assign a weight to 'cost' you're forced to admit how much it really matters versus 'impact', and the moment you score an option a 3 instead of an 8 you have to defend why. That conversation is where bias dies. A loud advocate can win a meeting; they can't win a column of weighted math without showing their work.
This calculator gives you an editable grid of criteria and options. Change a weight and the ranking re-sorts live, so you can stress-test the decision: if nudging 'effort' from a 2 to a 4 flips the winner, you've learned the choice is closer than it felt. Copy the finished matrix and you have a one-paragraph rationale you can paste into a doc or a Slack thread.
The formula
Weighted score = Σ (criterion weight × option score) · Normalized % = score ÷ max possible
Three criteria — Cost (weight 4), Impact (weight 5), Effort (weight 3) — and you score Option A 7, 9, 4. Weighted score = 4×7 + 5×9 + 3×4 = 28 + 45 + 12 = 85. The max possible is (4+5+3)×10 = 120, so A normalizes to 85 ÷ 120 = 71%. Whichever option clears the highest % is the pick.
Your matrix gave you a winner. Now sanity-check it.
The top two are within a few points.
It's a near-tie, which means the criteria you wrote can't tell these options apart. Add a tiebreaker criterion you actually care about (speed to value, reversibility) rather than agonizing over noise.
The winner flips when you nudge one weight.
Your decision is hostage to a single assumption. Pressure-test that weight with whoever owns the outcome before you commit — that's the real decision hiding inside the matrix.
Everything clusters around the same score.
Your weights are too flat. If every criterion matters equally, none of them is steering. Force a hierarchy: give the one thing that would make this a success the heaviest weight.
The 'obvious' choice lost.
Don't override the math — interrogate it. Either a real criterion is missing, or your gut was overweighting something you wouldn't defend out loud. Add the missing column instead of ignoring the result.
How to build a decision matrix that holds up
01Weight before you score
Set every criterion's weight while the options are still abstract. Weighting after you've seen the scores is how you reverse-engineer the answer you already wanted.
02Keep criteria to a vital few
Three to six criteria force a real hierarchy. Twenty criteria dilute every weight to noise and let the decision hide in the average.
03Use a consistent scale
Score everything 1 to 10 against the same anchors. A '9' on cost must mean the same kind of 'great' as a '9' on impact, or the weights lie.
04Flip the negatives
Score so that higher is always better. If a criterion is 'effort' or 'risk', score 'low effort = high score' — don't mix directions inside one matrix.
05Stress-test the close calls
When the top two are tight, nudge the biggest weight up and down. If the winner holds, commit. If it flips, you found the question that actually matters.
06Write the rationale down
Copy the scored matrix into the decision doc. Six months later, 'we chose this and here's the weighted math' beats 'it felt right at the time.'
The vocabulary
- Criterion
- A factor you're judging options against — cost, impact, effort, risk. Each gets a weight and a score per option.
- Weight
- How much a criterion counts relative to the others. Higher weight means that factor moves the ranking more.
- Score
- How well one option does on one criterion, on a fixed 1–10 scale where higher is always better.
- Weighted score
- The sum of (weight × score) across all criteria for an option. The raw number that gets ranked.
- Normalized %
- An option's weighted score as a share of the maximum possible. Lets you compare options on a clean 0–100% scale.
- Pugh matrix
- A close cousin that scores options as better/worse/same against one baseline. A weighted matrix uses absolute scores instead.
Decision matrix questions, straight answers
For each option, multiply its score on every criterion by that criterion's weight, then add up the results: weighted score = Σ(weight × score). Divide by the maximum possible score (sum of weights × the top score on your scale) to get a normalized % so options compare cleanly. The highest weighted score, or %, wins.
Keep going
A calculator tells you what. A call tells you what to do about it.
Send me the account behind these numbers. I'll tell you straight where the money's leaking and what I'd fix first — free, and you keep it whether you hire me or not.