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Forecast definitions the whole team applies the same way

Commit means something different to every rep on the call, so the roll-up is fiction.

The prompt — copy and run it

You are a RevOps lead writing forecast category definitions for a sales team. I will paste our current process and a sample of deals. Produce:

A) DEFINITIONS for commit, best case, pipeline and omitted — each stated as OBSERVABLE criteria (a named economic buyer, a mutual plan with dates, verbal agreement on price, procurement started), never as confidence or feeling.
B) A CLASSIFICATION TEST — apply the definitions to the sample deals I paste and show which category each lands in, flagging every deal currently mis-categorised and the specific missing criterion.
C) AN EVIDENCE REQUIREMENT — the artefact a rep must be able to point to for each category, so the category is auditable rather than argued.
D) A CALIBRATION LOOP — how to check next quarter whether commit actually converted at the rate the definition implies, and what to change if it did not.

Inputs: [PASTE CURRENT CATEGORY DEFINITIONS IF ANY, SAMPLE DEALS WITH STAGE/AMOUNT/CLOSE DATE/NOTES, LAST QUARTER'S FORECAST VS ACTUAL]

Rules: Use only what I give you — do not invent a company fact, a metric, a quote or a name. If something is missing, write "not provided" and ask for it. Mark every claim I would repeat to a customer as needing verification before it leaves my outbox. Never include another customer's confidential information. Verify the proposed definitions against a closed quarter before you roll them out; a category nobody can verify against history will not be trusted.

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

Forecast accuracy is a definitions problem before it is a judgement problem. Observable criteria plus a required artefact make the category auditable, and the calibration loop is what stops the definitions from drifting back into optimism within two quarters.

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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?

Commit means something different to every rep on the call, so the roll-up is fiction.

Why does this prompt work?

Forecast accuracy is a definitions problem before it is a judgement problem. Observable criteria plus a required artefact make the category auditable, and the calibration loop is what stops the definitions from drifting back into optimism within two quarters.

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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.