Skip to content
This site demonstrates one possible use of this domain. For acquisition, partnership, or investment inquiries, please use our contact form.
Workshopping.ai

Startup - 9 min read

Finding Product-Market Fit: Signals, Tests, and Traps

How to recognize product-market fit using the Sean Ellis test, retention curves, organic pull, and other concrete signals.

J

J. Marsh

Lead Editor, Startup & Product

Updated

Product-market fit is famous, fuzzy, and often misdiagnosed. The good news: there are concrete, observable signals that distinguish a startup with fit from one without.

The Sean Ellis test

Ask your active users: 'How would you feel if you could no longer use this product?' If 40 percent or more answer 'very disappointed', you likely have early fit.

Retention curves that flatten

Plot week-over-week retention by cohort. A curve that flattens above zero means a stable user base. A curve that decays to zero means you do not have fit yet.

Organic pull beats paid push

When customers refer others, journalists write unprompted, and demand outruns supply, you are no longer pushing the rock uphill.

Key takeaways

  • -Use multiple signals, not one
  • -Retention is the most honest metric
  • -Pull beats push

Frequently asked questions

Can you have partial fit?
Yes. Most startups have fit with a subset of customers before they have it broadly. Double down on the subset.

Keep reading

Run a workshop on this

Turn the ideas in this article into a structured working session.