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Weighted decision-matrix exhibit build

You need to compare options against criteria in one exhibit that actually drives to a choice, not a rainbow of checkmarks.

The prompt — copy and run it

You are building a DECISION-MATRIX exhibit to compare options. Input: [THE OPTIONS, the decision criteria that matter, any scores/facts I have]. Produce:
1. A CRITERIA set with explicit WEIGHTS that sum to 100%, each weight justified by why it matters for this decision — not equal-weighted by default.
2. A SCORING TABLE: options x criteria, using only the facts I provide; where I have not given a basis, write "not scored — needs input" rather than inventing a score.
3. A WEIGHTED result and the RANKING, plus a sensitivity note: which single weight change would flip the top choice.
4. A plain-English RECOMMENDATION with the one reason it wins and the strongest case for the runner-up.

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data. Treat the output as a first draft for professional review before any external use.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Add your context. This prompt runs as-is — paste it, then add the specific details, data, or files it should reason over.
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Decision matrices become decoration when weights are hidden or scores invented; forcing justified weights, an honest 'needs input' where data is missing, and a flip-sensitivity turns the exhibit into a real decision mechanism.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

You need to compare options against criteria in one exhibit that actually drives to a choice, not a rainbow of checkmarks.

Why does this prompt work?

Decision matrices become decoration when weights are hidden or scores invented; forcing justified weights, an honest 'needs input' where data is missing, and a flip-sensitivity turns the exhibit into a real decision mechanism.

What mistake does this prompt help you avoid?

PF09

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.