Evaluate your product-market fit using proven metrics and indicators
pm3Category: product-marketingEvaluate your product-market fit using proven metrics and indicators
Engagement Score
70/100
Satisfaction Score
100/100
PMF Score
90/100
Your PMF score of 90/100 indicates Strong PMF, based on Sean Ellis's research (2009) where having 40%+ of users say they'd be "very disappointed" if your product disappeared signals strong product-market fit. Your 40% satisfaction score (weighted 35%), combined with 15% monthly growth (25%) and 8% organic referrals (15%), shows strong pmf using Superhuman's multi-metric framework.
Product-market fit measures how well a product satisfies strong market demand. Sean Ellis's 2009 research analyzing nearly 100 startups established the 40% rule: ask users 'How would you feel if you could no longer use this product?' and if 40%+ answer 'very disappointed,' PMF has been achieved. Companies exceeding this threshold demonstrated consistent growth while those below it struggled to gain traction.
Superhuman CEO Rahul Vohra extended Ellis's single-question test by combining the disappointment metric with complementary signals: organic growth rate, engagement depth, referral behavior, and product stability. This multi-dimensional approach, documented in First Round Review, allows teams to systematically improve PMF through targeted iteration—Superhuman increased their score from 22% to 58% using this methodology.
Engagement Score
70/100
Satisfaction Score
100/100
PMF Score
90/100
Your PMF score of 90/100 indicates Strong PMF, based on Sean Ellis's research (2009) where having 40%+ of users say they'd be "very disappointed" if your product disappeared signals strong product-market fit. Your 40% satisfaction score (weighted 35%), combined with 15% monthly growth (25%) and 8% organic referrals (15%), shows strong pmf using Superhuman's multi-metric framework.
Product-market fit measures how well a product satisfies strong market demand. Sean Ellis's 2009 research analyzing nearly 100 startups established the 40% rule: ask users 'How would you feel if you could no longer use this product?' and if 40%+ answer 'very disappointed,' PMF has been achieved. Companies exceeding this threshold demonstrated consistent growth while those below it struggled to gain traction.
Superhuman CEO Rahul Vohra extended Ellis's single-question test by combining the disappointment metric with complementary signals: organic growth rate, engagement depth, referral behavior, and product stability. This multi-dimensional approach, documented in First Round Review, allows teams to systematically improve PMF through targeted iteration—Superhuman increased their score from 22% to 58% using this methodology.