Using data analytics to improve customer experience before users complain

Been diving into our analytics trying to spot friction points before they turn into support tickets or bad reviews.

What metrics do you track to catch UX issues early? Currently looking at drop-off rates and session recordings but wondering if there are better indicators I’m missing.

Return visits matter way more than first-time user stats. I track who comes back within a week and how their behavior changes. If people are searching for basic features in your app, your navigation’s broken. Support tickets are goldmines. When someone complains about checkout, 20 others probably just bailed without saying anything.

Conversion rates by traffic source show which channels bring users who stick around versus those who bounce right away.

I track first-session conversions. It tells me if my onboarding actually works or just looks pretty.

Form abandonment data pinpoints exactly where people give up, especially during signup.

Time between taps matters. Long pauses usually mean the user’s confused or the app crashed.

Focus on load speed. Slow pages lose users fast.

Heat maps are a lifesaver for this. I track rage clicks and dead clicks - users tapping buttons that don’t work or spots that look clickable but aren’t.

Funnel completion times tell you everything. Step 2 to 3 normally takes 30 seconds? If someone’s stuck there for 5 minutes, they’re either bouncing or calling support later.

Error rates by device show you what’s really broken. We found our checkout didn’t work on older Android versions because we only tested new phones.

This video explains the whole tracking process:

Here’s something weird - users who browse tons of pages actually convert worse. They’re not engaged, they’re lost.