Enter a candidate action and its retention numbers
Action type, current adoption rate, retention with vs. without the action, and typical time-to-action are entered.
AHA MOMENT FINDER
Enter an early user action and retention data to get a calculated correlation score showing how strongly it predicts long-term retention.
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Complete every field. The result updates only when you choose Calculate.
Action type, current adoption rate, retention with vs. without the action, and typical time-to-action are entered.
The retention lift between users who did and didn't take the action is combined with how fast it happens and how feasible it is to redesign onboarding around.
The score tells you whether this action is a strong, possible, or weak aha-moment candidate, so you can test the right ones first.
Continue learning: Designing onboarding for first sessions · Designing an MVP for first-time users
An action almost everyone already does can't be redesigned around for more impact, and one almost nobody does may be too hard to reach. A moderate current adoption rate (around 40-70%) is the sweet spot where redesigning onboarding around it can move the most users.
No — this measures correlation, not proven causation. A high-scoring action is a strong hypothesis to test with an onboarding redesign or experiment, not a guaranteed cause of retention.
Yes — run this tool once per candidate action and compare the scores to prioritize which one to redesign onboarding around first.
| Feature | MVPHub | Amplitude | Mixpanel |
|---|---|---|---|
| Quick single-action retention lift check | Included | Limited | Limited |
| No signup or SDK install required | Included | Not included | Not included |
| Automated correlation analysis across all events | Not included | Included | Included |
| Cohort retention curves and event funnels | Not included | Included | Included |
Amplitude and Mixpanel automatically surface correlated retention events across your full event data once integrated. MVPHub gives a fast, manual check for one candidate action using numbers you already have.
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