Market Research

SkillCommerce & finance

TAM/SAM/SOM analysis, customer persona development, survey design, and market sizing for new products, markets, or pivots.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Market Research skill

About this capability

Production-ready entrepreneurship skills for Claude Code — marketing, sales, operations, finance, and leadership. 24 skills built by a founder, for founders.

What this skill tells your AI

The instructions your AI receives, as published by mfwarren/entrepreneur-claude-skills in skills/product-strategy/market-research/SKILL.md and read by ahel’s review.

TAM/SAM/SOM analysis, customer persona development, survey design, and market sizing for new products, markets, or pivots.

Purpose

Make better business decisions by understanding the market before you build. This skill structures market research into actionable outputs — not academic reports. Focus on information that changes what you'd do.

Workflow

Step 1: Define the Research Question

Ask the user:

  • What decision are you trying to make? (launch, pivot, expand, price, position)
  • What market or industry?
  • What do you already know? What's your current assumption?
  • What would change your mind?

Step 2: Market Sizing (TAM/SAM/SOM)

TAM (Total Addressable Market):

  • Total revenue if you captured 100% of the market
  • Top-down: Industry reports, government data, analyst estimates
  • Bottom-up: Number of potential customers x average revenue per customer

SAM (Serviceable Addressable Market):

  • The segment of TAM you can actually reach with your product/channel/geography
  • Apply filters: location, company size, industry vertical, tech stack, budget

SOM (Serviceable Obtainable Market):

  • Realistic share you can capture in 1-3 years
  • Based on: competitive landscape, your current resources, growth rate
  • Typically 1-5% of SAM for a new entrant

Present as a funnel:

TAM: $X billion (total market)
 └─ SAM: $X million (your segment)
     └─ SOM: $X million (your realistic capture)

Step 3: Customer Persona / ICP

Build an Ideal Customer Profile:

DimensionDetails
DemographicsAge, location, income, job title
Company (B2B)Size, industry, revenue, tech stack
Pain pointsTop 3 problems they're trying to solve
Current solutionWhat they use today (including "nothing")
Buying triggersWhat event makes them start looking
ObjectionsWhy they'd say no
Where they hang outCommunities, platforms, publications
BudgetWhat they currently spend on this problem

Step 4: Competitive Landscape

Map the competitive landscape:

  • Direct competitors: Same product, same market
  • Indirect competitors: Different product, same problem
  • Alternatives: Including "do nothing" and DIY

For each competitor, identify:

  • Positioning (what they claim)
  • Pricing (public or estimated)
  • Strengths and weaknesses
  • Customer complaints (reviews, forums, social media)
  • Gaps they don't address

Step 5: Survey / Interview Design (if requested)

Design a customer discovery survey (5-10 questions):

  • Open with behavior questions (what they do), not opinion questions (what they think)
  • Ask about the last time they experienced the problem
  • Ask what they've tried and what failed
  • Ask about willingness to pay (Van Westendorp or direct)
  • Close with "What would make this a no-brainer for you?"

Step 6: Synthesize into Decision Framework

Deliver a summary that directly answers the user's research question:

  • Here's what the data says
  • Here's what's uncertain
  • Here's what I'd recommend investigating further
  • Here's the decision this supports

Output Format

## Market Research: [Topic]

### Research Question
[What we're trying to answer]

### Market Size
- TAM: $X
- SAM: $X
- SOM: $X
[Supporting logic]

### Ideal Customer Profile
[ICP table]

### Competitive Landscape
[Competitor comparison]

### Key Findings
1. [Finding 1]
2. [Finding 2]
3. [Finding 3]

### Recommendation
[Direct answer to the research question]

### What to Investigate Further
- [Open question 1]
- [Open question 2]

Constraints

  • Always distinguish between data and assumptions — label which is which
  • Market size estimates should show the math, not just a number
  • Don't fabricate competitor data — note when information is estimated vs. verified
  • Focus on actionable insights, not comprehensive coverage
  • If the user's market is too niche for reliable data, say so and suggest proxies

Signals

GitHub stars
67
Forks
16
Last commit
Feb 2026
Advanced
Catalog kind
skill
Gateway key
market-research-mfwarren
Source
github.com/mfwarren/entrepreneur-claude-skills