Multi-criteria weighted scoring with a confidence reading

Score options, pick a winner.

List options, criteria, and weights; score each option 0–10. The tool returns a weighted total, the best pick, and a confidence bar. Pure browser; no login.

Criteria & weights

Options

OptionCost (5)Quality (4)Speed (3)Total
Option A0.00
Option B0.00

Best option

Option A

Confidence

0% scored

Making a decision with a weighted matrix

When options have different strengths, a gut decision tends to overweight whatever you thought about last. A weighted decision matrix makes the trade-offs explicit: list what matters, decide how much each criterion counts, score every option against every criterion, and let the arithmetic combine them.

This tool builds the matrix for you. Add options and criteria, give each criterion a weight, score each option from 0 to 10, and read the weighted score, the best option and how complete your scoring is.

How to use it

  1. Add the options you are choosing between, such as two job offers or three flats.
  2. Add the criteria that matter and give each a weight: a higher number means it counts more.
  3. Score every option on every criterion from 0 (poor) to 10 (excellent).
  4. Read each option's total and the best option. Confidence shows what share of the cells you have filled in.

Example: two flats, three criteria

Input
Weights: price 3, quality 2, distance 1
Flat A: price 8, quality 5, distance 6
Flat B: price 5, quality 9, distance 9
Output
Flat A: 6.67
Flat B: 7.00
Best option: Flat B (confidence 100%)

Flat A wins on the criterion that counts most, but Flat B's strong scores on the other two add up to more.

How the score is calculated

Each score is multiplied by its criterion's weight, the products are added up, and the sum is divided by the total weight. The result stays on the same 0 to 10 scale as the scores, so a 7 means the option is about a 7 out of 10 overall. For Flat A that is (8×3 + 5×2 + 6×1) ÷ 6 = 6.67.

Getting honest weights

Set the weights before scoring, so you cannot tune them to justify a favourite. A useful check is to ask whether you would accept a big drop in one criterion for a small gain in another; if not, the first criterion deserves more weight. Keep the list short, three to six criteria, and leave out anything every option does equally well.

Use the result as a conversation, not a verdict

If the winner surprises you, that is useful information. Either a criterion is missing or a weight is wrong, or your instinct is reacting to something the matrix does not capture. Close scores, within half a point, mean the options are effectively tied, and other factors or a coin flip can decide.

Questions

What does confidence mean?

It is the share of option-criterion cells you have scored. 100% means every option has a score for every criterion; empty cells count as zero.

Can a weight be zero?

Yes. A criterion with weight zero is shown but does not affect the totals, which is handy for testing how much it matters.

Is my decision stored or shared?

No. The calculation happens in your browser and nothing is sent anywhere.