Andrew Chen's 10 Metrics for Product Market Fit

Most founders celebrate a spike in signups from a social launch. But as Andrew Chen points out, those users often vanish as quickly as they arrive. Real product-market fit isn’t about hype. It’s about habits, retention, and organic pull.

The Metrics That Matter

This image from Andrew Chen lists 10 data-backed clues you’ve actually nailed PMF — things like high retention curves, strong daily use, and a solid viral loop.

Why It Works

• Filters out vanity growth from real user love
• Focuses on usage metrics, not just acquisition
• Measures behavior that compounds over time
• Highlights organic demand over paid gimmicks

Examples

• Slack: DAU/MAU often 65%+, showing daily habit.
• Spotify: 80% organic installs thanks to network effects.
• Airbnb: City-by-city engagement curves deepened with density.
• Duolingo: D1/D7/D30 > 60/30/15, proving sticky learning loops.
• Notion: Power-user curve “smiles” with a loyal core base.