UX analytics
UX analytics tool that shows how your design is really used
A UX analytics tool shows how people use your interface: where they click, how far they scroll, where they hesitate and what confuses them. UserExplorer gives designers and researchers heatmaps, replays, form friction and paths, with AI synthesis that turns hundreds of sessions into clear findings.
- Heatmaps per page, breakpoint and segment
- Replays with frustration moments marked
- Form hesitation and refill data per field
- AI synthesis of sessions and survey answers
Reach
Only 41% see the feature table on mobile.
Sample data
For design teams
Validate a design with behaviour, not opinions in a review
Usability tests with five participants are valuable, but they happen rarely and in a lab setting. UX analytics adds evidence from every real visit: whether people find the new navigation, whether the redesigned pricing table is read, whether the onboarding checklist is followed or skipped.
UserExplorer is built so a designer can answer those questions without help from an analyst. Open heatmaps for the page and breakpoint you changed, filter session replays to visitors who saw it and compare before and after with the same segment.
Methods
Quantitative and qualitative UX research in one place
Pick the method that answers the question, all on the same visitors.
Click and scroll maps
See which elements attract attention and where content stops being seen, for desktop, tablet and mobile separately.
Replays of real tasks
Watch how people complete or abandon a task, with idle time skipped and errors attached.
Form friction
Hesitation time, refills and abandonment for every field, so you know which label or rule causes trouble.
Confusion signals
Dead clicks on elements that look clickable and rage clicks on controls that do not respond. More on rage clicks.
Navigation paths
The routes people really take through menus and pages, including dead ends and loops.
Ask in context
Short surveys and AI interviews that ask users about the screen they are on, on Growth and above.
Synthesis
Hours of session review summarised into findings
The slowest part of UX research is synthesis: watching recordings, tagging moments and writing up what you saw. The AI researcher does the first pass across hundreds or thousands of sessions and returns findings in plain language, each with the replays and heatmap areas that support it.
You stay the researcher. Check the evidence, discard what does not hold up and ask sharper follow-up questions. Combine the findings with interview themes from surveys and NPS to see whether what people say matches what they do.
AI researcher
Read 1,284 sessions, sample dataYou asked
Why do users drop off at signup?
31% abandon signup at step 3 because phone verification fails on mobile.
- SMS code not delivered on 2 of 3 carriers in the US
- Users tap Send code 4 times on average, then leave
- Desktop completes the same step at 88%
Evidence sessions
A typical study
Checking a redesign in four steps
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Step 1
Mark the release
Note the date of the change so reports can compare the period before and after.
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Step 2
Compare heatmaps
Look at clicks and scroll depth for the same page, breakpoint and segment in both periods.
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Step 3
Watch the edge cases
Filter replays to visitors with frustration signals on the new design and watch a handful.
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Step 4
Ask and report
Ask the AI researcher what changed in behaviour, then share the findings with their evidence.
Compared
UX analytics compared with lab usability testing
| Aspect | UX analytics in UserExplorer | Moderated usability testing |
|---|---|---|
| Participants | Every real visitor you record | A small recruited group |
| Setting | Natural use on your live site | Planned tasks in a session |
| Time to first insight | As soon as sessions arrive | Days to weeks for recruiting |
| Understanding motivation | Surveys and AI interviews | Strong, through live questions |
| Best used for | Finding and sizing problems | Exploring new concepts in depth |
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Participants
- UX analytics in UserExplorer
- Every real visitor you record
- Moderated usability testing
- A small recruited group
-
Setting
- UX analytics in UserExplorer
- Natural use on your live site
- Moderated usability testing
- Planned tasks in a session
-
Time to first insight
- UX analytics in UserExplorer
- As soon as sessions arrive
- Moderated usability testing
- Days to weeks for recruiting
-
Understanding motivation
- UX analytics in UserExplorer
- Surveys and AI interviews
- Moderated usability testing
- Strong, through live questions
-
Best used for
- UX analytics in UserExplorer
- Finding and sizing problems
- Moderated usability testing
- Exploring new concepts in depth
The two methods complement each other. Many teams use analytics to find problems and moderated tests to explore solutions.
FAQ
Questions teams ask before they start
What is a UX analytics tool?
A UX analytics tool collects data on how people interact with a website or app, such as clicks, scrolls, navigation, form behaviour and frustration, so designers and researchers can find usability problems with evidence.
How is UX analytics different from product analytics?
Product analytics focuses on metrics like retention and feature adoption. UX analytics focuses on the interface itself: what people see, click and struggle with. UserExplorer covers both, see product analytics.
Can I see heatmaps for mobile separately?
Yes. Heatmaps can be filtered by device and breakpoint, so mobile, tablet and desktop layouts are analysed separately.
Does it replace user interviews?
It reduces how many you need. Behaviour data and AI interviews answer many questions quickly, while live interviews remain useful for exploring new ideas.
Is the AI synthesis available on every plan?
AI features are on paid plans. Startup includes 50 AI analyses a month, Growth 400 with the option to ask the AI researcher questions, and higher plans more.
Will designers need an analyst to use it?
No. Heatmaps, replays and segments are point and click, and questions can be asked in plain English on Growth and above.
See how your design is really used
Heatmaps, replays and form friction for every release, with AI synthesis that keeps the evidence attached.