USER FRICTION SIGNALS

Friction Replay

Enter a user flow's interaction signals to get a calculated friction score showing where rage clicks and confusion are costing you conversions.

  • Uses your inputs in a transparent calculation
  • Instant result with practical next steps
  • No signup required

Planning guidance only. Validate important decisions with customer evidence and your delivery team.

How it works

1

Enter recent interaction signals

Rage clicks, repeated actions, navigation backtracking, and abandonment are each scored for friction.

2

We calculate a friction score

Signals are summed and discounted for small sample sizes, since a handful of sessions gives less reliable signal.

3

Get a targeted fix plan

The recommended actions match the friction level, from replay review to redesign and abandonment tracking.

Frequently asked questions

Why does sample size affect the score?

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.

Does this replace session replay software?

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.

What counts as a rage click?

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.

How We Compare

Feature MVPHub FullStoryHotjar
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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