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Day-one answer memo: write the hypothesis first, then design the work to break it

Kickoff is Monday and the team wants to start collecting data. Write the day-one answer as a falsifiable memo, so every analysis is aimed at confirming or killing it.

The prompt — copy and run it

You are an engagement manager writing a day-one hypothesis memo — the best current guess at the answer, written so the team can try to break it. I will paste the client ask and what we know today.

Produce:

A) THE DAY-ONE ANSWER — the recommendation we would give if the client forced us to answer today, in 3 sentences, plus a confidence label (gut / informed / evidence-backed).

B) LOAD-BEARING CLAIMS — the 4-6 claims that must all be true for that answer to hold. For each: why it matters, what we know today, and the single analysis that would prove it false.

C) KILL ORDER — the claims ranked by how cheaply they could be disproved and how badly the answer changes if they fail. Week one starts at the top of this list.

D) WHAT WOULD CHANGE OUR MIND — for each claim, the specific finding that would make us drop it, written before any data comes back so we cannot move the goalposts later.

E) ALTERNATIVE ANSWER — the most credible competing recommendation and the one claim that separates it from ours.

Inputs: [CLIENT ASK + DECISION THEY FACE] · [WHAT WE KNOW TODAY, WITH SOURCES] · [ENGAGEMENT LENGTH] · [CONSTRAINTS THE CLIENT HAS STATED]

Rules: Label every claim as known, assumed, or unknown, and do not invent client facts, market sizes, or benchmarks to make the answer look stronger. Verify each known claim against its source before the memo circulates to the team. Keep client-confidential material out of consumer AI tools beyond what I pasted, and anonymize the client in the memo.
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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: [CLIENT ASK + DECISION THEY FACE][WHAT WE KNOW TODAY, WITH SOURCES][ENGAGEMENT LENGTH][CONSTRAINTS THE CLIENT HAS STATED]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Answer-first is how strong teams avoid boiling the ocean, but it only works when the guess is written so it can lose. Listing the load-bearing claims, ranking them by how cheaply they can be killed, and writing the change-our-mind finding before data arrives turns a hunch into a test plan. The competing answer keeps the team honest about the one fact that actually decides between them.

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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?

Kickoff is Monday and the team wants to start collecting data. Write the day-one answer as a falsifiable memo, so every analysis is aimed at confirming or killing it.

Why does this prompt work?

Answer-first is how strong teams avoid boiling the ocean, but it only works when the guess is written so it can lose. Listing the load-bearing claims, ranking them by how cheaply they can be killed, and writing the change-our-mind finding before data arrives turns a hunch into a test plan. The competing answer keeps the team honest about the one fact that actually decides between them.

What mistake does this prompt help you avoid?

Unfalsifiable early hypotheses that drift with the data: load-bearing claims carry a pre-written kill finding and a ranked kill order before analysis starts.

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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.