Behaviour analysis · 28 July 2026

Rage clicks are symptoms, not answers

Repeated clicks flag frustration, but the useful work begins when you connect that signal to intent, context and outcomes.

Team reviewing notes during a workshop

A rage-click report can tell you where users repeatedly click in a short window. It cannot tell you whether the user expected a button, was fighting a slow response, misunderstood a label or encountered an invisible overlay.

Start with the intended task

Place the signal inside a journey. What was the person trying to complete? Which page did they come from, and what happened next? Compare sessions that show repeated clicks with successful sessions from the same device and traffic segment.

Look for corroborating evidence

Check client-side errors, response latency, dead clicks, backtracking and abandonment. A cluster of signals is more decision-worthy than a single heatmap marker. Sample recordings carefully and avoid collecting sensitive field content.

Turn evidence into a testable change

Write the problem as an observed behaviour, not a guessed motivation. Prioritise it using affected volume, journey value and severity. Then define the behavioural change you expect after the fix. That closes the loop between observation and product learning.

Apply it to your product

Have a behavioural pattern that needs investigation?

Discuss the journey