UC-097
PMF and Series A Readiness Analytics
Reads cohort, churn and revenue data from an operating portfolio company to score product-market fit and build Series A readiness packs.
14-22Build Duration
2-9xIndicative ROI
The Challenge
Product-market fit is judged from hand-cut cohort and churn pulls, so evidence lands late and differs company to company. Each readiness pack is then assembled from scratch across the portfolio.
How It Works
- Ingests cohort, churn and revenue data from each operating portfolio company's systems.
- Models retention and growth curves to score product-market fit against studio benchmarks.
- Delivers a readiness pack to the studio and founders ahead of the Series A raise.
What It Removes
- Hand-cut cohort pulls for every board update
- PMF judged without comparable evidence
- Assembling each Series A pack from scratch
Input Data RequirementsPortfolio company cohort, churn and revenue data, product usage metrics, studio five-phase benchmarks
Output FormatPMF score per company, cohort and churn dashboard, Series A readiness pack
“I can tell which portfolio companies are ready to raise instead of guessing from a deck.”