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Calculate TAM, SAM, and SOM with explicit assumptions, methods, and caveats.
Passed 17 of 22 test cases with the skill, and 9 of 22 without it.
and 10 more in the full report
9 fixed8 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to run `scripts/market-sizing.py` directly to calculate market size for 50,000 potential accounts at $2,000 annual revenue per user with a 40% SAM share and 10% SOM share. A team member suggests running `python scripts/market-sizing.py --tam-total 100000000`. What flags should actually be passed to supply total accounts and annual pricing?
| Checked | Without skill | With skill |
|---|---|---|
| Rejects using --tam-total for passing account counts and pricing. | Passed | Passed |
| Includes --population 50000 and --arpu 2000 in the helper script arguments. | Missed | Passed |
The instructions your model reads when the skill loads.
Guide product managers through calculating Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for a product idea by asking adaptive, contextually relevant questions. Use this to build defensible market size estimates backed by real-world citations, economic projections, and population data—essential for pitching to investors, securing budget, or validating product-market fit.
This is not a back-of-napkin guess—it's a structured, citation-backed analysis that withstands scrutiny.
The three-tier market sizing model:
Total Addressable Market (TAM):
Serviceable Available Market (SAM):
Serviceable Obtainable Market (SOM):
test cases passed, vs 9 / 22 without
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