Versus a decision matrix
Weighted matrices are a classic operations tool. Argumont uses criteria and scores too. The difference is the surrounding record: claims, verification, risks, c...
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A decision matrix is only as honest as its weights
A matrix is a table: options as rows, criteria as columns, weights on criteria, scores in cells. The math is simple. The honesty is not.
What it means
It forces tradeoffs into the open. It also invites fake precision if you score things you cannot observe.
Why it matters
Meetings that skip the matrix still have weights. They are just unspoken and political. Writing them is how you keep a hobby criterion from pretending to be analysis.
How to apply it
Write criteria first, freeze them, then score. If changing a weight flips the winner, say so in the record.
A common trap
Adding criteria until your favorite option wins. That is a score you already chose.
How Argumont uses this
Criteria and weights are explicit and should total 100%. Scores come with reasons. An appeal can change the ranking.
Related pages
Decision scoring
A score says this option is stronger on this criterion, given this evidence. If you cannot show the evidence, the score is decoration.
Decision criteria
Criteria should be named before options are scored. Weights should reflect the actual trade, not the slide that needs to look balanced.
Compare options
Comparison work fails when each option is described in a different language. Argumont holds options to the same criteria, then lets you open every score.
Learn
These articles explain methods Argumont uses in the product. They are education, not a pile of keyword stubs, and not fake news with invented dates.
Score options in Argumont
Argumont challenges assumptions, researches evidence, compares competing approaches, and identifies the strongest decision.
Score options in Argumont