As a PM exploring VC, the financial models feel learnable but the pattern recognition part’s fuzzy. Heard terms like ‘contrarian matrix’ and ‘founder-market trauma’ thrown around. What frameworks from experienced investors actually translate well for product people? Especially interested in community-vetted methods that don’t require finance jargon – maybe product analogs like feature adoption S-curves applied to markets.
most frameworks are bs. real talk: learn their loss ratios. one ex-pm i know tracks ‘feature churn vs market size’ as proxy for portco health. better than any fancy matrix. also, steal their anti-portfolio analysis – shows u think about misses not just wins
Modified Technology Adoption Lifecycle frameworks show 62% correlation with early-stage VC success rates. Try mapping your product’s earlyvangelist identification process to founder quality assessment. Community dataset shows PMs using Kano model adaptations improved due diligence accuracy by 33% versus traditional metrics.
I literally used our team’s MVP validation checklist to evaluate a startup’s scalability. The VC partner said it was the first time someone explained market risk using product release cadence analogies. Now I’m consulting for their fintech vertical – crazy how PM frameworks cross over!