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Three-Statement Model Review

Audits a financial model's structure and assumptions — where it double-counts, where it fails to tie, and which assumption the whole answer rests on.

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CategoryFinanceForAnalysts, Founders, ConsultantsTested onClaudeChatGPT

Running it, start to finish

  1. Describe the model's structure, its assumptions and their sources.
  2. Verify the integrity checks in section 1 by hand before trusting anything else.
  3. Present the break-even values rather than the base case.

What you get back

The output this produces, every time.

  • Checks the three statements actually tie, and identifies what the balancing plug is.
  • Ranks assumptions by sensitivity and names the one or two that carry the entire answer.
  • Surfaces the implicit assumptions that never made it onto the assumptions tab.

Getting better results

Where this usually goes wrong, and how to avoid it.

  • Describe the structure carefully. Tab names and how they feed each other matter more than the numbers for finding double-counting.
  • Go straight to section 3. If the answer rests on two assumptions, that is where the work belongs — and it is usually not where the work has gone.
  • Use the break-even numbers in the meeting. 'This works if churn stays below 4%' is a claim people can argue with. A base case invites agreement rather than scrutiny.

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