Heatmaps

Heatmaps

Heatmaps represent values through a colour scale. In web analytics they may show where recorded clicks occur or how far recorded visits scroll. They condense selected interactions into an overview. This can generate questions about use, but does not automatically reveal eye movements or motives.

Heatmaps explained

A click map and a scroll map answer different questions. Many clicks may indicate an important entry point, but also repeated unsuccessful attempts. Reaching a scroll position does not establish that the text there was read or understood. First check what data the map actually represents.

Interpretation needs the period, page version, number of recorded visits and filters. A map combining different layouts or audiences can conceal differences. Very small subgroups, in turn, can produce chance patterns. Choose segmentation according to the question and document its limits.

Presentation can also mislead. The colour scale needs an understandable reference; red does not automatically mean success or frustration. On dynamic pages, the shown state must match the recorded elements. The label attention map alone does not explain how attention was measured or inferred.

Creative Engineering translates observed patterns into testable design ideas. If an image is clicked frequently, an expected enlargement is one possible explanation. Check it against the actual journey and through conversations or observed tasks. A subsequent change and its effect require separate evidence.

Examples

Hypothetical application

A click map shows repeated clicks on a product image. The team first checks whether the image really was not interactive in that page state. During an observed task, participants expect a detail view. The team adds one to a prototype and checks whether it is understandable to use.

Key Points

Name the metric and colour scale.
Distinguish clicks, scrolling, gaze and motives.
Document layout, data coverage and filters.
Turn patterns into hypotheses and test them deliberately.

Practical application

Define a concrete question about use. Check collection, page state and data volume, frame an explanation as a hypothesis and test it with a suitable complementary method.

Useful measures

Data basis

Record period, captured visits, page versions and filters.

Reproducible pattern

Investigate whether the observation recurs in suitable comparison groups.

Tested explanation

Document the observed pattern, assumed cause and follow-up result separately.

Common mistakes

Treating pointer movement or scroll position as demonstrated reading.
Interpreting colour intensity without scale, volume and page state.
Equating a heatmap-inspired change with an already proven conversion gain.

Sources and context

Microsoft Learn: Clarity heatmaps overview
Describes aggregation of click and scroll data and different map types in Clarity.
Microsoft Learn: Clarity FAQ
Documents reconstruction rather than video streaming and limits of available recordings, among other topics.

Frequently Asked Questions about Heatmaps

No. Click and scroll maps do not capture eye movements. The data source and method must support the statement being made.

Loading related terms…

All Terms

Heatmaps explained