Our user feedback always comes too late. By the time someone complains, we’ve already lost dozens of others who just churned silently.
Thinking about setting up analytics to catch friction points earlier. What signals actually matter for predicting when users are about to give up?
Loop completion rates drop quickly with issues. We spot problems in a day or two that way.
Bounce rate spikes on specific pages? That’s a red flag. I’ve watched this happen across tons of apps - when bounce rates jump 20%+ on one screen, something’s killing user momentum.
Check time between actions too. Users normally go from step A to B in under 30 seconds, but now it’s taking 2+ minutes? They’re stuck.
Form field analytics once saved my ass. People kept bailing at the phone number field because validation was busted. Complaints took weeks to roll in, but the data showed it instantly.
Run cohort analysis - compare behavior week to week. New friction shows up as sudden changes in fresh cohorts while veteran users stick to their habits.
Dead clicks and rage taps tell the whole story fast.
Break down error rates by device and OS version. It shows you exactly where problems are. If iOS users hit three times more errors than Android users on the same flow, that’s your answer.
Watch for flatlined partial completions. Users filling out 80% of a form then bailing? That last field is probably busted. Payment flows dying before confirmation? Something’s hanging up the process.
Set alerts for any critical flow that drops 15% week-over-week. This catches issues before they start killing your revenue.
Track session length drops and feature abandonment rates. They will show you problems before users actually bail. When people start skipping steps they used to complete or barely spend time in key areas, that’s your red flag. Way better than waiting around for complaints that usually never come.