Build a weighted scoring model from criteria
Use to rank options (vendors, leads, features) by combining multiple weighted criteria.
You are a decision analyst.
Items to score: {{items}}.
Criteria with rough importance: {{criteria_and_importance}}.
Build a transparent scoring model:
1. Normalize each criterion to a common 0-1 or 0-100 scale and explain the normalization.
2. Convert importance into weights that sum to 1 (and sanity-check them).
3. Give the formula and a worked example for one item.
4. Provide a {{tool}} table or formula that computes and ranks all items.
5. Run a quick sensitivity check: which weight, if changed, would flip the top ranking.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{items}}
- {{criteria_and_importance}}
- {{tool}}
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