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Build a weighted-sum scoring model from a performance matrix
Convert raw option performance into normalised scores and a defensible weighted total for ranking.
Decisions prompt templates.
Convert raw option performance into normalised scores and a defensible weighted total for ranking.
Score and weight options against defined criteria, then stress-test the ranking with sensitivity analysis.
Test whether the recommended option survives plausible changes in weights, scores, and costs.
Turns messy inputs into a decision-ready brief.