Mouseflow

Navigate to Form Analytics

Select the Checkout Form

Filter by Mobile Device

Observe field-level hesitation metrics

Watch session replays of 'Form Abandoned' segments

Implement UI fix for the high-friction field

Search for the customer's User ID or Email tag

Locate the session with a JS Error tag

Open the session replay with the DevTools console view active

Observe the exact DOM state at the time of the error

Apply fix based on visual reproduction

Open Attention Heatmap for the URL

Identify the 'fold' where most users stop scrolling

Check if key CTA buttons are in a 'cold zone'

Move the CTA to a high-attention area identified by the heatmap

A/B test the new layout and verify via Live Heatmap

Filter sessions by 'Variant A' and 'Variant B'

Compare Click Heatmaps side-by-side

Watch sessions of users interacting with the winning variant's new feature

Confirm if users are using the feature as intended or finding a workaround

Document behavioral insights for future iterations

Integrate Mouseflow with Zendesk/Intercom

Click the Mouseflow session link directly in the support ticket

Watch the user's last 5 minutes of activity

Provide informed help without asking the user to repeat their steps

Resolve ticket 30% faster

Set up a Funnel for each step of the onboarding wizard

Identify the step with the highest drop-off rate

Filter for 'Rage Click' friction events on that step

Identify confusing UI elements via Session Replay

Simplify the wizard step based on observed behavior

Review sessions with unusually high 'Friction Scores' or 'Instant Abandonment'

Observe mouse movement patterns (perfectly straight lines vs human curves)

Identify IP patterns or User Agents associated with bots

Exclude those segments from conversion reports to maintain data integrity