Analyze Hotjar recordings for usability issues in minutes
Paste your Hotjar session notes or transcripts → uncover recurring usability issues, rage-click patterns, and UX friction points holding users back
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"I kept thinking I had to fill in the billing address even though it was the same as shipping — I didn't see the checkbox until my third try."
"I clicked on 'Resources' expecting to find the tutorial videos but I just ended up on a blog page with no way back to where I was."
"I scrolled all the way down looking for how to start a free trial — I genuinely didn't notice the button at the top because it blended into the banner."
"On my phone the fields were so tiny and kept zooming in weird when I tapped them — I just gave up and said I'd do it on my laptop later."
What teams usually miss
Without aggregating patterns across recordings, teams treat each rage-click or drop-off as a one-off rather than recognizing it as a systemic usability failure affecting conversion.
Users who abandon a flow aren't always uninterested — many recordings reveal genuine intent paired with interface confusion, a crucial distinction that changes how you prioritize fixes.
A single small usability issue may seem minor in isolation, but AI analysis of your recordings often reveals clusters of small friction points that stack up and silently destroy task completion rates.
Decisions you can make from this
Prioritize which UI elements to redesign first based on how frequently users hesitate, misclick, or abandon around them across your Hotjar sessions.
Decide whether usability issues are device-specific — such as mobile-only form problems — so engineering can target fixes without a full redesign.
Determine which onboarding or checkout steps to simplify by identifying the exact moments where new users consistently lose momentum or exit the flow.
Validate or kill proposed design changes by checking whether the usability issues surfaced in recordings align with what your design team already suspects or reveals entirely new blind spots.