Most analytics tools are good at showing what happened.
You can see bounce rates, funnels, and click paths.
But they rarely explain why a visitor hesitated or decided not to continue.
When I talk to founders about conversion problems, a lot of the discussion ends up being guesswork:
maybe the pricing feels wrong
maybe the page feels untrustworthy
maybe the messaging isn't clear
But it's surprisingly hard to diagnose those things objectively.
For people here who build products:
How do you currently figure out why users hesitate on a page?
Do you rely on user interviews, session recordings, heuristics, or something else?
I'm curious how others approach this layer of the problem.
You can see bounce rates, funnels, and click paths.
But they rarely explain why a visitor hesitated or decided not to continue.
When I talk to founders about conversion problems, a lot of the discussion ends up being guesswork:
maybe the pricing feels wrong
maybe the page feels untrustworthy
maybe the messaging isn't clear
But it's surprisingly hard to diagnose those things objectively.
For people here who build products:
How do you currently figure out why users hesitate on a page?
Do you rely on user interviews, session recordings, heuristics, or something else?
I'm curious how others approach this layer of the problem.