Good morning, Admin
Here's what FrictionMap found for you today.
Previously unreported problem detected
18.4% of users repeatedly return between Product and Checkout.
User Journey Comparison
Top Issues (Last 7 Days)
Recent Discoveries
Discoveries
Potential problems surfaced from behavior, not complaints.
Analytics
Raw behavioral signals behind the discoveries.
Event volume
Behavior signals
User Journeys
See where sessions flow normally — and where they start behaving differently.
Systems
Connect and monitor the products you want FrictionMap to investigate.
Workspace
Behavior events · Active monitoring
Shopify
Connect a Shopify store so FrictionMap can receive storefront behavior and analyze it alongside your CSV data.
Upload your own event CSV
Use a UTF-8 CSV file with one event per row. The app reads user behavior, session flow, timestamps, page names and device type to uncover friction patterns.
Expected data shape
user_id,session_id,timestamp,page,event,device,product U1,S1,2026-09-09T10:00:00Z,Home,page_view,Mobile,Wireless Headset
Admin Settings
Customize the system without changing the analysis engine.
Workspace
Detection sensitivity
Higher sensitivity surfaces more weak signals; lower sensitivity favors fewer, stronger discoveries.
Data mapping
When importing your own data, the app looks for aliases such as user_id, session_id, page, event, timestamp, and device.