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AI Prompt for Market Sizing Analysis

Size any market using bottom-up logic that investors and executives actually trust — with every assumption explicit and testable.

market-sizingTAMstrategyresearchbusiness-case

What it does

Builds a bottom-up market size estimate that’s actually defensible. Top-down sizing (“the global CRM market is $80B, we’ll capture 1%”) is useless for decisions. This prompt builds from specific, countable customer segments with explicit assumptions at every step — so you can see exactly where the estimate is strong and where it’s a guess.

Example output

A 3–4 line excerpt of what this prompt produces.

Segment 2: Mid-market SaaS companies (50–500 employees) 14,200 companies in DACH region (Statista 2025). 38% have a dedicated RevOps function (assumption — source: Pavilion survey, ±8%). Of those, 72% currently use spreadsheet-based forecasting (assumption — extrapolated from 23 user interviews). Willingness to pay: CHF 890/month (median from pricing survey, n=41). Segment TAM: CHF 34.8M/yr. Confidence: Medium — the 72% spreadsheet figure carries the most uncertainty; if actual rate is 50%, segment drops to CHF 24.2M.

Prompt structure

The sections this prompt guides the model through.

  1. 1. Define the Customer Universe
  2. 2. Qualification Funnel
  3. 3. Revenue Calculation
  4. 4. TAM / SAM / SOM
  5. 5. Assumptions Log
  6. 6. Sensitivity Analysis
  7. 7. Sanity Checks

Opening lines

The first lines of the prompt itself.

Size the following market using bottom-up analysis.

One rule from the prompt

A single rule — the full prompt contains more.

Every percentage is an assumption — label it as such. An honest "these numbers don't reconcile, here's why" is more valuable than forced alignment.

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