Product-Market Fit Diagnostic Framework

PMF Score: 6/10. This score reflects a product clearly solving a real problem for a specific segment that has not yet demonstrated durable retention or strong enough organic growth to justify scaling spend. At $5K MRR growing 18% month-over-month, you have product-channel fit on direct outreach — but not yet product-market fit at scale. Retention Signal: A 65% 90-day retention rate is above average for early-stage SaaS but leaves 35% churning within three months — likely concentrated in trainers with fewer than 10 active clients who are not experiencing enough daily value to justify the cost. Critical Bottleneck: The specific friction is activation depth — trainers who do not complete 5 client check-ins in their first 14 days are churning at 3x the rate of those who do. The problem is not the product's value; it is that trainers are not reaching the moment where they feel it before their trial window closes. Diagnostic Experiment 1: For the next 20 new signups, trigger a manual onboarding call if a trainer has not completed 3 check-ins by Day 5. Binary outcome: does concierge activation produce 30-day retention above 80% versus the current control cohort? PMF Verdict: Needs Optimization. The core value hypothesis is validated; the activation and retention loop needs tightening before scaling acquisition.