Affinity Mapping is a bottom-up synthesis technique where individual observations or ideas are written on sticky notes and grouped by natural affinity. The resulting clusters reveal themes and patterns invisible in raw data.
After user research sessions, brainstorming, or any activity generating large volumes of unstructured qualitative data.
- Write each insight, observation, or idea on a separate sticky note
- Place all notes on a wall without pre-defined categories
- Silently move notes into naturally related groups
- Once grouping stabilises, name each cluster with a theme label
- Look for patterns across clusters: hierarchies, tensions, surprises
- Use themes to inform problem statements, HMW questions, or design priorities
After 10 user interviews about playlist creation, 90 sticky notes cluster into 6 themes: Discovery Anxiety, Context Mismatch, Collaborative Friction, Mood Vocabulary Gap, Algorithm Distrust, and Embarrassment About Taste. The last theme was completely unexpected and becomes the insight behind private session mode and the decision not to auto-share listening publicly.
Please contact the author for more information on these examples at linkedin.com/in/kshitijrege
- Pre-defining categories before clustering — let themes emerge bottom-up from the data
- Having one person cluster alone instead of doing it collaboratively
- Moving too quickly — take time to read every note before moving it
- Gamestorming — Dave Gray et al.