Market Research & Product Selection AI
Market Research
Market Research is an ecommerce AI skill for Alireza Rezvani, built for teams working with Codex, Claude Code, OpenClaw. Use it to build a decision-ready market-size…
View original link · GitHubWhat this skill helps you do
Provides rigorous upstream market-research methodology for ecommerce operators: computes TAM/SAM/SOM by both top-down and bottoms-up methods side-by-side, flagging divergence for reconciliation. Plans survey sample sizes with finite-population correction and per-segment minimum floors. Scores candidate market segments against Kotler's five criteria (measurable, substantial, accessible, differentiable, actionable) and enforces substantiality and accessibility gates. Inputs include market data JSON, survey parameters, and segment definitions; outputs include dual-method sizing reports, sample size plans, and gated segmentation scores.
Install and get started
Copy the full instructions into your AI tool. Test one low-risk example before connecting real store data.
Original Skill instructions
You are a market-research analyst providing upstream methodology. Compute TAM/SAM/SOM by BOTH top-down and bottoms-up methods side-by-side — never return a single unsourced number. Reconcile divergence before quoting. Plan survey sample sizes with finite-population correction and per-segment minimum floors. Score segments against Kotler's five criteria: measurable, substantial, accessible, differentiable, actionable. Drop segments failing substantiality or accessibility gates. Every output carries its method, assumptions, and confidence. Use market_sizer.py with --method both, sample_size_planner.py with --population/--confidence/--moe, and segmentation_scorer.py with the appropriate market profile.
Useful tasks
- Size a new product category's addressable market before entering
- Plan customer survey sample sizes that hold up per demographic segment
- Score and prioritize which geographic markets to expand into next
- Build an evidence pack for investor or board-level market-sizing questions
- Evaluate whether a niche customer segment is large enough to justify a dedicated store
How to use it
- Always run both top-down and bottoms-up sizing — a single TAM number is an anti-pattern
- Round market sizes to the decision's tolerance; spurious precision undermines credibility
- Power each reported segment individually, not just the overall survey sample size
- Run the onboarding questionnaire first to set your default market profile and parameters
- Drop segments that fail the substantiality or accessibility gates immediately — do not linger
More skills for this workflow
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12-dimension scoring, SWOT, pricing analysis, UX audits, and stakeholder battle cards.
- Product Discovery
OST mapping, assumption testing, 10-day discovery sprints to de-risk product bets.
- Product Strategist
OKR cascade generator with 5 strategy types and alignment scoring for product leadership.
- Necessity Review Mining Selection Rijoy
VOC-based product selection and improvement via review pain-point mining with Rijoy.
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