Decision scoring
Argumont scores options against criteria you can inspect. Weights are explicit. Reasons are stored. A model agreeing with itself is not a score.
learn
A score is a claim with a number attached
A score says this option is stronger on this criterion, given this evidence. If you cannot show the evidence, the score is decoration.
What it means
Scoring makes comparison possible. It also creates false precision if you average incomparable things or invent decimals you cannot defend.
Why it matters
Without scores, ranking is a vibe. With unexplained scores, ranking is a vibe with decimals.
How to apply it
Score in the open, keep weights visible, and allow an appeal that can change the numbers.
A common trap
Scoring after you know who should win.
How Argumont uses this
Weighted criteria total 100%. Scores are inspectable. User-confirmed facts can move those scores. Consensus among models does not replace the arithmetic.
Related pages
Decision confidence
Confidence should fall when evidence is thin, dates are old, or roles disagree. It should not rise because the slide is pretty or the room is aligned.
Decision matrix
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.
Pricing
A price encodes who you can serve, who you cannot, and whether high-cost users can make the unit economics fail. Argumont scores competing packaging options aga...
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 a decision
Argumont challenges assumptions, researches evidence, compares competing approaches, and identifies the strongest decision.
Score a decision