15 questions to find where you're losing users
If you don't know this number, you can't measure whether onboarding changes are working.
Knowing the page narrows the problem from "users leave" to "users leave here, and here's what's on that page."
Time-to-value is the strongest predictor of retention. Every extra minute costs you users.
Features you built but users never find are wasted engineering effort and missed activation opportunities.
Time-based tooltips miss the moment. Behavior-triggered guidance meets users where they're stuck.
Not all exits are problems. Rage clicks and short sessions signal confusion; long sessions with completed actions signal satisfaction.
Rage clicks reveal invisible blockers — paywalls, broken buttons, confusing UI — that traditional analytics miss entirely.
The most common hidden blocker: users assume a gated feature is required, even when it's not.
Empty states kill activation. Users who see a blank screen leave within 30 seconds.
Spending on ads that bring low-activation traffic wastes budget. Organic users often activate at 2-3x the rate of paid.
A large gap means your product has a platform-specific UX problem blocking mobile (or desktop) users.
After 48 hours, the probability of return drops exponentially. The first re-engagement window is critical.
If you can't trace the happy path, you can't replicate it for struggling users.
Gut instinct is wrong more often than you think. A/B testing turns onboarding from guesswork into science.
Human analysis catches obvious problems. AI catches correlations across rage clicks, navigation paths, and time-on-page that humans miss.