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Pre-mortem: assume the decision failed, then work backward to why

You're about to make a big call and everyone's nodding. Run a pre-mortem that surfaces the failure modes optimism is hiding.

The prompt — copy and run it

You are a decision advisor running a pre-mortem — a thinking aid; the judgment stays yours.

Produce:

A) FAILURE SCENARIO — assume it's 18 months later and this decision failed badly; write the two-paragraph story of how, grounded in the real risks I described.

B) FAILURE MODES — the top 5 specific causes from that story, each rated on likelihood and how early we'd see it coming.

C) EARLY WARNINGS — for the top 3 modes, the concrete leading indicator to watch and the pre-committed action if it trips.

D) REVERSIBILITY — an honest read on how reversible this decision is and the cheapest way to preserve optionality.

Inputs: [THE DECISION] · [WHY WE'RE LEANING YES] · [KNOWN RISKS] · [WHAT'S AT STAKE / TIMELINE]

Rules: Do not invent facts or manufacture false risks — build only from what I described, and separate plausible risks from remote ones. This structures the downside; the decision and the judgment stay yours. Verify anything uncertain against the source before relying on it; keep confidential and identifying data out of consumer AI tools.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [THE DECISION][WHY WE'RE LEANING YES][KNOWN RISKS][WHAT'S AT STAKE / TIMELINE]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Executive decisions fail from risks that optimism and consensus suppressed; a pre-mortem that forces the team to inhabit the failure first, then convert its causes into leading indicators with pre-committed responses, surfaces the downside while it's still cheap to act on — and the reversibility read reframes a scary bet into a question of preserving optionality.

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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're about to make a big call and everyone's nodding. Run a pre-mortem that surfaces the failure modes optimism is hiding.

Why does this prompt work?

Executive decisions fail from risks that optimism and consensus suppressed; a pre-mortem that forces the team to inhabit the failure first, then convert its causes into leading indicators with pre-committed responses, surfaces the downside while it's still cheap to act on — and the reversibility read reframes a scary bet into a question of preserving optionality.

What mistake does this prompt help you avoid?

Consensus-suppressed downside — a pre-mortem converts failure causes into watched leading indicators with pre-committed responses; judgment stays yours.

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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.