Measure and improve · Add-on
Test whether you have product-market fit
Early start-ups live or die on product-market fit. Measure it directly, find who loves the product most, and build for them.
About 3-5 daysEvergreenLast reviewed 5 November 2026
Who this applies to
- Skills it builds
- Discovery and researchData and measurementCommercial and business sense
- PM types
- All
- Product types
- All
- Starting points
- All
- Ways of working
- All
- Experience
- All
- Size of organisation
- Early start-up
Steps, by experience
Beginner (under 1 year)
- Ask active users: how would you feel if you could no longer use this product?
- Count the share who answer very disappointed.
- Look at who those users are and what they value most.
- Ask the others what would make the product better for them.
- Repeat the survey regularly and track the share over time.
Intermediate (1 to 4 years)
- Segment results to find your highest-expectation customers.
- Split the roadmap between what fans love and what holds others back.
- Track the product-market fit score alongside retention.
Experienced (5+ years)
- Use the score to decide whether to scale, refocus or pivot.
- Run the survey for each new segment or market you enter.
- Share the results with the founders and investors as a standing measure.
Who can do this
Owner: Product manager
Can be delegated to
- User Researcher: Run and analyse the survey
- Data Analyst: Link answers to usage data
Tool examples
- Google Docs
- Run the survey with a simple form and keep results in a sheet.
- Amplitude
- Compare usage of very disappointed users with others.
Definition of done
- Survey sent to active users
- Score calculated and segmented
- Roadmap changes agreed from the results
Common pitfalls
- Surveying people who barely used the product
- Building for everyone instead of the fans
- Running it once and stopping
If you lead the team
What good looks like: Start-ups measure product-market fit directly and focus on the users who love the product most.
Ask your PM
- How would users feel if they could no longer use the product?
- Who are our most engaged users, and what do they have in common?
Warning signs
- Growth is pushed before fit is proven.
- The target user changes every month.