From research-ops-skills
Market research methodology. Size a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single number), plan a survey sample size with finite-population correction and per-segment minimums, and score candidate segments against Kotler's criteria. Outputs always show method + assumptions. Direct invocation of the market-research skill.
How this command is triggered — by the user, by Claude, or both
Slash command
/research-ops-skills:cs-market-research <market context: total market value, customer count, price, survey params, candidate segments>The summary Claude sees in its command listing — used to decide when to auto-load this command
# /cs:market-research — TAM/SAM/SOM + survey sampling + segmentation Run the `market-research` skill on this input: **$ARGUMENTS** ## Three-tool workflow 1. **`market_sizer.py`** — Compute TAM/SAM/SOM by BOTH top-down (total market value × fractions) and bottoms-up (customers × price × adoption) methods side-by-side. Reports divergence and flags failed triangulation. Industry tuning via `--profile`. Never returns a single number. 2. **`sample_size_planner.py`** — Survey sample size from confidence, margin of error, and expected proportion, with the finite-population correction and per-...
Run the market-research skill on this input:
$ARGUMENTS
market_sizer.py — Compute TAM/SAM/SOM by BOTH top-down (total market value × fractions) and bottoms-up (customers × price × adoption) methods side-by-side. Reports divergence and flags failed triangulation. Industry tuning via --profile. Never returns a single number.
sample_size_planner.py — Survey sample size from confidence, margin of error, and expected proportion, with the finite-population correction and per-segment minimums (a survey powered overall is not powered per reported segment).
segmentation_scorer.py — Score candidate segments against Kotler's measurable / substantial / accessible / differentiable / actionable criteria. Enforces a substantiality + accessibility gate; drops demographic slices that are too small or unreachable.
A market size always travels with its method (both ways) and assumptions — never a single unsourced number.
python3 skills/market-research/scripts/onboard.py (market profile, survey confidence, margin of error, sizing method) — saved config pre-configures every tool. --show lists the questions.skills/market-research/scripts/ar_evaluator.py (tam_divergence, lower is better).marketing-skill/campaign-analytics — that measures a live campaign. This is upstream methodology.marketing-skill/marketing-strategy-pmm — that sets positioning/GTM. This sizes and segments the market.commercial/pricing-strategist — that sets price. This sizes the market.npx claudepluginhub ai-integr8tor/alirezarezvani-claude-skills --plugin research-ops-skills