UserWatch - Onboarding Drop-Offs? Convert them into Revenue
UserWatch is an AI that tells you why users don't activate - and how to fix it.
It auto-reviews your session recordings (like Hotjar) and surfaces the exact steps where users drop off in your onboarding.
Just add a lightweight tracking script to your product.
Replies
I built UserWatch because I got tired of watching hours of session recordings trying to figure out why users didn’t convert.
Most teams don’t have time to rewatch and manually label sessions, and they end up guessing. So I built a way to auto-analyze what’s going wrong and show where users drop off, without tagging or setup.
If you care about improving trial-to-paid conversions or want to finally fix onboarding leaks, try the interactive tour at userwatch.xyz. It show cases what type of insights UserWatch can provide
Here's a case study for the quiz management platform:
UserWatch analyzed 427 onboarding sessions for a quiz platform and found that 29% of users clicked “Share” instead of “Start” when trying to assign a quiz. This simple misclick led to a major drop-off.
💡 Fix: Change the button label and hide it until the right step.
📈 Estimated Conversion Uplift: 14–21%
Another insight showed 45% of users selected a quiz but didn’t invite students, assuming it was automatic.
💡 Fix: Add a clear CTA and status indicator.
📈 Estimated Uplift: 10–14%
Final Conversion uplift that the company got from these fixes: 28%