Build a weighted AI tool scorecard
Calculate a weighted score while preserving assumptions and source quality.
You have AI-generated research on three analysis tools for a team of 20 analysts. Tool A costs $30 per user per month, Tool B costs $45, and Tool C is bundled. Leadership wants a recommendation, but the AI summary only says Tool B is best. Turn the recommendation into a weighted scorecard with explicit criteria, weights, and source-confidence notes. The novice trap is accepting the model's ranking without knowing which criteria drove it or whether a weak pricing source changed the result. Step 1 Criteria and weights: structured output 30%, spreadsheet workflow 25%, security fit 20%, cost 15%, research citations…
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