Been diving deep into our analytics lately and wondering if we’re looking at the right metrics to spot where users get stuck.
What signals do you watch for that usually predict when someone’s about to rage quit your app?
Been diving deep into our analytics lately and wondering if we’re looking at the right metrics to spot where users get stuck.
What signals do you watch for that usually predict when someone’s about to rage quit your app?
Exit patterns show me the most. I track which specific actions happen right before someone closes the app - not just where they drop off, but what they tried to do first.
Like if users keep opening the search function then immediately backing out, that’s usually a UX issue. Or when they scroll up and down the same section multiple times before leaving.
Error rates spike before churn too. We had users getting stuck on a verification step that failed silently. Took weeks to notice because the error wasn’t obvious, but the data showed people hitting that screen then never coming back.
Heatmaps help but behavioral sequences tell the real story.
Dead clicks are my biggest tell. When buttons stop working.
Time spent on specific screens tells you everything. When users sit on a form or checkout page way longer than normal, they’re hitting friction. I track session depth too. Users who bounce after 2-3 screens versus those who go deeper show you exactly where the drop happens. Repeat taps on the same element is another big one. If someone keeps hitting a button that’s not working or unclear, that’s your friction point right there.
Scrolling patterns get weird when people are confused. They scroll back and forth like they’re looking for something.
App crashes and loading times over 3 seconds are the biggest red flags I watch for. Users will tolerate bugs but not waiting around.
I also check funnel drop-off between key actions like signup to first purchase. When that gap gets wider than usual, something broke in the flow and people are giving up instead of figuring it out.