Market Sizing
SkillAI & modelsTAM/SAM/SOM estimation for any product or market. Takes a product/market description and returns structured market sizing with sources, assumptions, and confidence ranges.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Market Sizing skill
What this skill tells your AI
The instructions your AI receives, as published by mehdibargach/claude-code-pm-skills in skills/market-sizing/SKILL.md and read by ahel’s review.
Produce a rigorous TAM/SAM/SOM estimate that a PM can use in a pitch deck, strategy doc, or investment memo. The goal is defensible numbers with transparent assumptions — not inflated vanity metrics.
Process
- Define the market — Restate the input as a clear market definition: what product category, who is the buyer, what problem is being solved. Distinguish between the broad market and the specific segment.
- Research data points — Use WebSearch to find industry reports, public filings, analyst estimates, census data, and any credible source. Prioritize recent data (last 2 years). Note every source.
- Calculate TAM (Total Addressable Market) — Use top-down (industry report size) AND bottom-up (number of potential customers x average revenue per customer) if possible. If both methods yield different numbers, show both and explain the gap.
- Calculate SAM (Serviceable Addressable Market) — Apply geographic, segment, and capability filters. Be specific about what's excluded and why.
- Calculate SOM (Serviceable Obtainable Market) — Estimate realistic market capture in the first 1-3 years. Factor in competition, go-to-market approach, and growth benchmarks from comparable companies.
- Stress-test assumptions — Provide a range (conservative / base / optimistic) for at least SOM.
Output Format
Market Definition
One paragraph: what market, who buys, what problem, geographic scope.
TAM (Total Addressable Market)
Top-down: $X based on [source]. Calculation: [show the math]. Bottom-up: $X based on [number of customers] x [ARPU]. Calculation: [show the math]. Selected TAM: $X — [explain which estimate you trust more and why].
SAM (Serviceable Addressable Market)
Filters applied:
- Geographic: [filter]
- Segment: [filter]
- Other: [filter]
SAM: $X ([X%] of TAM). Calculation: [show the math].
SOM (Serviceable Obtainable Market)
| Scenario | SOM | Assumptions |
|---|---|---|
| Conservative | $X | ... |
| Base | $X | ... |
| Optimistic | $X | ... |
Methodology: [explain how you estimated capture rate — comparable company benchmarks, market share logic, etc.]
Key Assumptions
| # | Assumption | Impact if Wrong | Confidence |
|---|---|---|---|
| 1 | ... | ... | High/Med/Low |
| 2 | ... | ... | High/Med/Low |
Sources
Numbered list of every source used, with URLs when available.
Confidence Level
One paragraph: overall confidence in these numbers (High / Medium / Low) and what would increase confidence (e.g., "primary research with 20 target buyers would validate the ARPU assumption").
Rules
- Always show the math. Every number must trace back to a source or a calculation.
- Never use a single data point without cross-referencing. If only one source exists, flag it as low confidence.
- Bottom-up estimates are generally more trustworthy than top-down for niche markets. Say so when relevant.
- SOM should be grounded in reality: comparable company growth rates, typical market penetration for the GTM model, etc. Do not just pick an arbitrary percentage of SAM.
- Round numbers appropriately. Do not write "$4,237,891" — write "$4.2M". False precision erodes credibility.
- Write in English.
- Keep the entire output under 2 pages. Investors and execs skim — make every line count.
- Be opinionated: if the market is too small to build a venture-scale business, say so. If the sizing depends on a shaky assumption, call it out.
- If you cannot find reliable data for a critical input, flag it and provide a placeholder range rather than guessing.
Signals
- GitHub stars
- 97
- Forks
- 37
- Last commit
- Mar 2026
Advanced
- Catalog kind
- skill
- Gateway key
market-sizing-mehdibargach- Source
- github.com/mehdibargach/claude-code-pm-skills