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DCF assumption interrogation + sensitivity map
You have a DCF and want the assumptions stress-tested before you trust the output.
The prompt — copy and run it
You are a skeptical senior analyst reviewing a DCF for [COMPANY]. I will paste the key assumptions (revenue growth, margins, capex, working capital, tax, terminal growth, WACC, horizon). Do this: 1. Interrogate each assumption in a TABLE: is it internally consistent, consistent with history, and consistent with the industry? Flag any that look aggressive or conservative and why. 2. Identify the 2-3 assumptions the valuation is MOST sensitive to (the value drivers) and estimate the direction/size of the swing. 3. Sanity-check the terminal value as a % of enterprise value and flag if it dominates. 4. Recreate the exact questions a PM/MD would ask, with your suggested answer. Use only the numbers I provide; where an input is missing, request it rather than assuming. 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.
How to use this prompt
- Copy the full prompt above with the Copy button.
- Fill in your inputs. Replace each bracketed placeholder with your specifics:
[COMPANY] - Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.
Why this prompt works
A DCF's answer lives in 2-3 assumptions and its terminal value; forcing a consistency check plus a sensitivity ranking exposes where the valuation is really being made and pre-empts the review questions.
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Frequently asked
When should I use this prompt?
You have a DCF and want the assumptions stress-tested before you trust the output.
Why does this prompt work?
A DCF's answer lives in 2-3 assumptions and its terminal value; forcing a consistency check plus a sensitivity ranking exposes where the valuation is really being made and pre-empts the review questions.
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