AFFINITY CLUSTERING

(tool)

Brief description

A graphic technique for sorting items according to similarity. Can be used to analyze data from research and discovery or when considering creative ideas. It is an easy way to bring order to chaos, and to organize items into logical groups. Patterns are revealed when teams sort items based on perceived similarities, defining commonalities that inherent but not always obvious.

Quick Guide

  • Identify the topic.
  • Gather data (from discovery, research, ideas, etc.)
  • Record each element on a sticky note.
  • In group, position similar elements near each other.
  • Label the clusters that are taking shape.
  • Continue this until all the elements are included.
  • Rank the most important clusters over less important clusters.

Benefits

  • Helps you identify issues and opportunities.
  • Reveals thematic patterns.
  • Facilitates productive discussion.
  • Builds a shared understanding.

Helpful Tips

  • Listen carefully to the deliberation.
  • Look for opportunities to create subgroupings.
  • Only because certain information is not in a cluster it doesn´t mean it is not important.

Application

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