How Does Sean Ellis, Author of “Hacking Growth,” Find Product-Market Fit?

TL;DR

Use the Sean Ellis Test to assess product-market fit by asking users how they would feel if they could no longer use the product; 40% answering “very disappointed” indicates strong fit. Sean Ellis also explains why teams should study must-have users, improve onboarding to the right experience, and align growth efforts around customer value. Read on for practical guidance from the growth hacker and author of “Hacking Growth.”

Transcript

the Sha Ellis test such a seemingly simple idea that has had such a profound impact on the startup world the question is how would you feel if you could no longer use this product once you got a high enough percentage of users saying they'd be very disappointed most of those products did pretty well if you felt too low those products tended... Read More

Key Insights

• The Sean Ellis Test helps determine if a product is a must-have by asking users how disappointed they would be if it no longer existed.
• A 40% threshold of 'very disappointed' responses is a strong indicator of product-market fit.
• Improving activation and onboarding can significantly impact user retention and growth.
• Understanding customer feedback is crucial for refining product features and positioning.
• Product-Market Fit is a leading indicator, while retention cohorts provide a lagging indicator.
• Freemium models can drive growth if the free version generates word of mouth and the premium version offers significant additional value.
• Choosing the right North Star metric aligns the team and focuses efforts on delivering customer value.
• Growth strategies have evolved to require cross-functional collaboration across marketing, product, and customer success teams.

Questions & Answers

Q: How do you use the Sean Ellis Test to measure product-market fit?

Ask users how they would feel if they could no longer use the product, offering choices such as “very disappointed,” “somewhat disappointed,” “not disappointed,” or “not applicable, I’ve already stopped using it.” Focus on the percentage who answer “very disappointed,” because they regard the product as a must-have.

Q: What does the 40% threshold mean in the Sean Ellis Test?

A result in which 40% of respondents say they would be “very disappointed” is a strong indicator of product-market fit. Products with a sufficiently high percentage tended to perform well, while those with low results tended to struggle.

Q: What should a team do if only 10% of users would be very disappointed?

Concentrate on the users who already say they would be very disappointed and investigate who they are and why the product is essential to them. Sean Ellis cautions against shaping the product around “somewhat disappointed” users because their feedback may dilute its value for must-have users.

Q: Why should teams avoid prioritizing somewhat disappointed users?

These users are effectively saying that the product is nice to have rather than essential. Changing onboarding or the product around their feedback can weaken the experience for users who already consider it a must-have.

Q: How can onboarding improve retention and product-market fit?

Sean Ellis says retention is often influenced more by onboarding users into the right experience than by tactical retention techniques. Effective onboarding should help the right users reach the product experience that makes it valuable to them.

Q: What is the relationship between product-market fit and retention cohorts?

Product-market fit is a leading indicator, while retention cohorts provide a lagging indicator. The Sean Ellis Test can therefore reveal must-have sentiment before longer-term retention data fully develops.

Q: How can a freemium model support product growth?

A freemium model can work when the free product generates word of mouth and the premium version provides significant additional value. Sean Ellis was among the earliest people described in the episode as using freemium as a growth strategy.

Q: What role does a North Star metric play in a growth strategy?

A North Star metric aligns the team around the customer value the product delivers. It helps marketing, product, and customer-success teams focus their work on a shared growth objective.

Summary & Key Takeaways

• The Sean Ellis Test is a simple survey that measures product-market fit by asking users how disappointed they would be if they could no longer use the product. A 40% threshold of 'very disappointed' responses indicates strong product-market fit and guides further product development and marketing strategies.

• Improving activation and onboarding processes is crucial for increasing user retention and achieving sustainable growth. This involves understanding customer feedback, refining product features, and aligning team efforts around a clear North Star metric.

• Growth strategies have evolved over the past decade, requiring cross-functional collaboration across marketing, product, and customer success teams. AI is expected to play a significant role in future growth efforts by enhancing experimentation and customer insights.