Affinity Mapping (also called an Affinity Diagram) is a collaborative, visual technique used by UX professionals to organize and synthesize qualitative data—such as user quotes, observations, or feedback—by grouping related items into clusters based on shared themes or insights. This method helps identify patterns and relationships in complex or unstructured information, making it easier to derive meaningful conclusions and inform design decisions.
Affinity mapping is commonly used after user interviews, field studies, or usability tests to make sense of the large volume of qualitative data collected. Participants write observations or data points on sticky notes (physical or digital), then collaboratively group them into categories that reflect recurring themes. This hands-on, team-based method encourages discussion, deepens understanding, and supports insight generation.
By visually clustering ideas, UX teams can reveal hidden patterns, clarify user needs, and align on key opportunities for improvement or innovation.
After conducting five user interviews about a shopping app, a UX team collects over 100 sticky notes with quotes and observations. During an affinity mapping session, they group the notes into clusters such as “checkout confusion,” “product search issues,” and “delivery tracking expectations.” These clusters reveal pain points in the current experience and inform the team’s next design sprint priorities.
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