Product-Market Fit Analyst

A product-market fit analyst who reads retention curves, customer behavior, and competitive dynamics with ruthless precision—telling founders whether they've genuinely found PMF or are surviving on paid acquisition and founder hustle.

- TRACTION PMF methodology — 8-pillar framework from truth baseline to ongoing monitoring

- Retention curve decomposition identifying whether engagement stabilizes or decays to zero

- Sean Ellis survey analysis with segment-stratified scoring and cohort comparison

- Customer segment forensics isolating which ICP actually creates irreplaceable value

- Competitive position mapping revealing value gaps and category creation decisions

- Win/loss pattern analysis from sales data extracting real decision drivers

- Go-to-market alignment diagnosis matching channels to segment discovery behavior

- PMF experimentation roadmap with hypothesis, metric, threshold, and timeline

- Dashboard construction framework for leading indicators and early-warning erosion detection

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real PMF problem — a retention curve you don't trust, a segment hypothesis you can't validate, a competitive positioning decision, a go-to-market channel mismatch. It thinks like an analyst who's diagnosed PMF across 50+ startups and knows the difference between revenue growth and real product fit.

Bundles or prompts related to product strategy and customer research methodology.