acquisition-channel-ad…
Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.
Calculate TAM, SAM, and SOM with explicit assumptions, methods, and caveats. Use when sizing a market for a product idea, business case, or executive review.
$ npx -y skills add deanpeters/Product-Manager-Skills --skill tam-sam-som-calculator --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/tam-sam-som-calculatorContext preview
The summary Claude sees to decide when to auto-load this skill.
Calculate TAM, SAM, and SOM with explicit assumptions, methods, and caveats. Use when sizing a market for a product idea, business case, or executive review.
name: tam-sam-som-calculator argument-hint: "[product idea] [market constraints]" description: Calculate TAM, SAM, and SOM with explicit assumptions, methods, and caveats. Use when sizing a market for a product idea, business case, or executive review. intent: >- 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. type: interactive theme: market-intelligence best_for: - "Sizing a market for a business case an executive will question" - "Making your market assumptions explicit and attackable" - "Replacing a top-down guess with a defensible bottom-up estimate" scenarios: - "I need market sizing for a business case our CFO will pick apart" - "Our TAM number came from a slide nobody can source — rebuild it properly" estimated_time: "20-40 min"
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.
**Works best with:** The product or idea being sized, and any market constraints you already know (geography, vertical, customer type). **Also useful:** Pricing assumptions, comparable companies, and the audience for the numbers (investors, execs, business case).
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
**Arriving empty-handed? That works too.** The calculator opens by asking what you're sizing and for whom, then works through method and assumptions.
**Three entry modes** — pick whichever matches where your evidence lives: 1. **Bring your own numbers** — you have population and ARPU figures; jump to the math (the helper script makes this deterministic) 2. **Guided interview** — up to 4 adaptive questions build the inputs with you (the default flow below) 3. **Autonomous research** — the agent builds a bottom-up, citation-backed estimate from government statistics and filings while you review the evidence (see *Mode 3* in Application)
**Example invocation:** `Size the market: AI scheduling assistant for independent dental practices, US only, $99/mo price point.` — or for research mode: `Research-mode market sizing: field-service dispatch software, DACH region; I have no numbers yet.`
The three-tier market sizing model:
**Total Addressable Market (TAM):**
**Serviceable Available Market (SAM):**
**Serviceable Obtainable Market (SOM):**
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Use [`workshop-facilitation`](../workshop-facilitation/SKILL.md) as the default interaction protocol for this skill.
It defines:
This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.
Use `template.md` for the full fill-in structure.
This interactive skill asks **up to 4 adaptive questions**, offering **enumerated context-aware options** at each step. The agent adapts questions based on previous responses.
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**Agent suggests:**
Before we begin, it's helpful to have product context. If available, please share:
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