Filters let you narrow your Uxify data to a specific slice of traffic—so every chart, insight, and metric you’re looking at reflects the exact users and conditions you care about (e.g., Safari users only, a single session, or only sessions with high LCP)
What are Filters?
Filters help you see your data from the angle you care about most. They let you tune out the noise and focus only on the user group you care about. Once you select your filters, all your data updates to show only the selected sample. You can also combine different filters to get an even clearer picture.
Uxify supports two filter types:
General filters - they are universal throughout your dashboards and help you filter through browser type, specific users or metric ranges for key web vitals such as PLS, LCP, and more.
Metric-specific filters - these filters are based on a specific data point from the thousands of metrics available in your dashboards. You can filter based on a specific metric or group of metrics—for example, acquisition channel, user type, and more.
This is useful when you want to answer questions like:
“What do sessions with slow LCP have in common?”
“Does Safari show worse INP than Chrome?”
“What happened in this one session where everything broke?”
How to apply a filter
Many charts and breakdown rows have a Filter action. Simply select Filter, and the selected data point will be added as a filter to your dataset.
You can view all your selected filters in the upper right corner.
Get an expanded view of all your filters by clicking the Filters icon:
In the Filters modal you can:
Select browsers (All browsers / Chrome family / Safari / Firefox)
Enter a Visitor ID or Session ID
Adjust metric range sliders for PLS/LCP/CLS/INP/TTFB
View all additional filters you have selected
When should you use filters
Use filters when you want clarity fast:
Validate a hypothesis (“Only mobile users are affected”)
Pinpoint an issue (“Only Safari + high INP sessions”)
Troubleshoot a single journey (filter by Session ID)
Prove impact (compare “before vs after” by isolating the same segment)
Resolving “messy” analysis with filters
Go-to action plan when the dashboard feels noisy:
Start with a broad filter (e.g., Browser or Device) to isolate the biggest difference.
Narrow further using a metric range (e.g., focus only on sessions with poor LCP/INP).
If you can reproduce the issue, filter by Session ID to inspect one concrete journey end-to-end.
Keep an eye on the active filter chips so you don’t accidentally interpret filtered data as “global.”
Try it yourself
Pick one chart you care about (e.g., acquisition channel or a Core Web Vital):
Click a row → Filter
Confirm the filter chips in the upper right
Open the filters icon to adjust or clear
Then re-check your key charts—you’ll instantly see what’s true for that segment, not just your average user.