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.
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Decision analysis without the theater
Decision analysis is the older sibling of decision intelligence: options, criteria, tradeoffs, and a way to talk about uncertainty without pretending you have a crystal ball.
What it means
It includes trees, expected value, sensitivity, and matrices. You do not need every tool. You need a written comparison that another adult can follow.
Why it matters
Without analysis, the loudest person wins. With shallow analysis, the prettiest spreadsheet wins. Either way the company is betting on an untested story.
How to apply it
Write options, write criteria, write what would change your mind, then score. Sensitivity is asking which assumption, if wrong, flips the ranking.
A common trap
Treating the first quantitative model as truth. Numbers inherit the quality of their inputs. A precise wrong number is still wrong.
How Argumont uses this
Argumont keeps criteria and weights visible, scores with reasons, and records reversal conditions. That is analysis you can reopen, not a one-time workshop.
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.
Business strategy
A strategy decision is a commitment of attention, capital, and time under uncertainty. Argumont treats your preferred plan as one contestant and asks whether a ...
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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.
Run a structured analysis
Argumont challenges assumptions, researches evidence, compares competing approaches, and identifies the strongest decision.
Run a structured analysis