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Share-loss forensics: who is taking it, where, and with what lever

Share is slipping and the meeting is Thursday. Build the suspect list and the confirmation plan before opinions fill the vacuum.

The prompt — copy and run it

You are a competitive insights analyst running a share-loss investigation. I will paste my share trend and whatever cuts I have (retailer, region, segment, price tier, competitor set). Produce:

A) A SUSPECT TABLE, ranked by likelihood: competitor, where the loss is visible in my cuts, the lever they appear to be using (price, promotion, distribution, innovation, media), and the evidence status — shown in my data vs hypothesis.
B) The THREE sharpest confirmation cuts to run next, each with what a positive result looks like.
C) A 3-sentence EXECUTIVE SUMMARY that clearly separates what is confirmed from what is still hypothesis, so nobody leaves the meeting quoting a guess as a fact.

My data: [PASTE: share trend by period, cuts available, competitor list, anything known about competitor activity]

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in the data I give you, write "not provided" and flag it. Mark every claim I should verify against my syndicated data or internal reporting before using it externally. Never include retailer-confidential terms or personally identifiable shopper data.

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

Share-loss meetings run on anecdote unless someone shows up with a ranked suspect list and an evidence column. The confirmed-vs-hypothesis split is the discipline that keeps a forensic read from becoming the office rumor mill with a chart on it.

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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?

Share is slipping and the meeting is Thursday. Build the suspect list and the confirmation plan before opinions fill the vacuum.

Why does this prompt work?

Share-loss meetings run on anecdote unless someone shows up with a ranked suspect list and an evidence column. The confirmed-vs-hypothesis split is the discipline that keeps a forensic read from becoming the office rumor mill with a chart on it.

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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.