How Superhuman Built an Engine to Find PMF
by Rahul Vohra (First Round Review) · read the original
Product-market fit is usually described as a feeling. Rahul Vohra turned it into a number you can measure and move: survey users, segment for who loves you, split the roadmap between doubling down and fixing gaps, then re-survey. Superhuman took its score from 22% to 58% in three quarters.
- 1
PMF Is a Metric, Not a Feeling
Ask users how they'd feel if they lost your product. The percentage answering 'very disappointed' is a measurable leading indicator of product-market fit, with 40% as the benchmark.
- 2
Starting at 22% and Not Panicking
A low PMF score is a starting point, not a death sentence. Measure it honestly, then treat it as the metric your whole plan exists to move.
- 3
Segment to Find Who Loves You
Don't average your way to mediocrity. Segment survey results by persona, find the group where love concentrates, and make them your market.
- 4
The High-Expectation Customer
Define your high-expectation customer in vivid detail, then use that persona as the filter for every product and positioning decision.
- 5
Politely Ignore the 'Not Disappointed'
Ignore users who wouldn't miss you. Listen hardest to the ones who are almost in love and are held back by something specific you can fix.
- 6
The 50/50 Roadmap
Spend half the roadmap making lovers love you more, and half removing what blocks the almost-lovers. All gap-fixing makes you generic; all fan-service makes you stall.
- 7
Re-survey Until the Number Moves
PMF is not a milestone you cross once. It's a metric you re-measure constantly and can actively move, and it can move back down as your audience broadens.