Enter recent interaction signals
Rage clicks, repeated actions, navigation backtracking, and abandonment are each scored for friction.
USER FRICTION SIGNALS
Enter a user flow's interaction signals to get a calculated friction score showing where rage clicks and confusion are costing you conversions.
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Complete every field. The result updates only when you choose Calculate.
Rage clicks, repeated actions, navigation backtracking, and abandonment are each scored for friction.
Signals are summed and discounted for small sample sizes, since a handful of sessions gives less reliable signal.
The recommended actions match the friction level, from replay review to redesign and abandonment tracking.
Continue learning: Reducing friction in your MVP's core workflow · MVP UX mistakes that make products hard to use
Friction patterns seen in only a few sessions could be noise. The score applies a discount below 20 sessions so you don't overreact to a small, unrepresentative sample.
No. It's a fast, rule-based check using signals you already know. A dedicated session replay tool will capture and surface these friction patterns automatically across every session.
Typically three or more rapid clicks on the same element without a resulting change — a strong signal the user expected something to happen and it didn't.
| Feature | MVPHub | FullStory | Hotjar |
|---|---|---|---|
| Quick single-flow friction check | Included | Limited | Limited |
| Transparent, editable scoring logic | Included | Not included | Not included |
| Automated session recording and replay | Not included | Included | Included |
| Heatmaps across every page automatically | Not included | Included | Included |
FullStory and Hotjar automatically capture and analyze session replays and heatmaps across your full product once integrated. MVPHub gives a fast, manual friction estimate for one flow using signals you already know.
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