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Weighted Decision Matrix

Compare choices using the factors you care about. Set importance weights, rate each option, and see how the weighted scores change as you adjust your preferences.

2–8 options1–8 weighted criteriaScore breakdown + project export

1. Name your comparison

2. Define options and criteria

Options

Criteria and importance

Weights range from 0 to 100; they do not need to total 100. A zero-weight criterion is ignored. Rate every factor so that a higher score always means a better fit—for cost, give the more affordable option a higher rating.

3. Rate each option · 0 to 10

Ratings are your judgments, not measurements or predictions.

4. Compare weighted scores

How each criterion contributes
Restore a project

Scores are weighted averages from 0 to 10, using ordinary floating-point arithmetic. Display rounding can make close scores look equal. Change weights and ratings to test your assumptions; the result reflects your inputs rather than an objective recommendation. No automatic save or processing upload.

Using Weighted Decision Matrix

Make your comparison assumptions visible. A weighted score summarizes your ratings and importance weights; it does not establish which choice is objectively best.

  1. Name 2–8 options and 1–8 criteria, then assign importance weights from 0 to 100.
  2. Rate each option from 0 to 10 for every criterion. Higher always means better, including affordability.
  3. Compare weighted averages and contributions. Change weights to test the ranking, then copy/export the report or save JSON.

Example

Quiet focus 40, affordability 35, convenience 25.
Ratings 7, 9, 10 produce (7×40 + 9×35 + 10×25) / 100 = 8.45.

Questions & answers

Do weights have to total 100?

No. Each weight is divided by the sum of all weights. A zero weight contributes nothing; at least one weight must be positive to calculate results.

Can I enter actual prices as ratings?

Ratings must be from 0 to 10. Convert affordability to a preference score where higher means better. This is not a direct price or cost normalization calculator.

Why do two options look tied?

Scores are displayed to three decimals, so close underlying scores can round alike. The shared-highest label uses a very small floating-point tolerance; the contributions show where each score comes from.

Is the highest score a recommendation?

It reflects your entered judgments only. Uncertainty, omitted factors and inaccurate ratings can change the result. Try alternative weights before making a choice.

Can I save and revise a comparison?

Download JSON and restore it later, or download a text report for sharing. There is no automatic saving. Imports are limited to 64 KiB; Undo retains up to 50 project changes.

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