A weighted decision matrix compares two eligible options by multiplying each score by its criterion weight, averaging the results, and calculating the nearest single-weight change that would produce a tie.
Screen deal-breakers first. Then score only the eligible options and inspect what drives the lead.
Start with broad independent criteria, then rename or remove anything that does not affect your choice.
| Criterion | Weight | This score | That score | Remove |
|---|---|---|---|---|
The ledger will identify the score leader, the largest contributing criterion, and the nearest single-weight change that produces a tie.
Weighted score = the sum of each weight multiplied by its option score, divided by the total weight. Scores run from 1 to 10. Weights may use any positive scale because the calculation divides by their total. A weight of 30 therefore means the same relative importance whether all weights add to 100 or another positive number.
A gap below 0.35 is labeled close. A gap from 0.35 to less than 1 is labeled modest. A gap of 1 or more is a meaningful lead in the current inputs. The result also calculates the nearest nonnegative single-weight change that would produce a tie. These labels describe the arithmetic, not confidence in the evidence. A large gap built from guesses is still uncertain.
Define what a high and low score mean before you fill the table. Avoid separate criteria that count the same benefit twice. The decision criteria checklist helps remove gates, vague labels, and overlapping factors before scoring. The starting frameworks contain different criteria for different decisions, but they are prompts rather than recommendations. Review the calculated tie threshold, then copy or download the record so the inputs and next evidence check remain visible.
Tip: if one realistic input change flips the winner, describe the result as close and investigate that input.
Learn how many criteria to use, what the total score can establish, and how to handle a winner that changes after a small edit.
Use the smallest set that captures the material differences between the options. Three to seven independent criteria is often easier to explain and test than a long list with overlapping ideas.
Choose decision criteria that actually helpNo. The total reflects the criteria, weights, and scores entered by the user. It shows the result of those assumptions. It does not turn preferences or uncertain estimates into objective facts.
Review the weighted matrix methodTreat the result as sensitive. Investigate the input that caused the switch, use a range, or prefer a reversible next step until better evidence is available.
Explore decisions under uncertainty