A graphic technique for sorting items according to similarity
Use this template to reveal patterns by sorting items based on similarities. This helps to define commonalities that are not necessarily obvious.
This design thinking method allows you to draw insights and new ideas out of otherwise disparate pieces of information. Discerning patterns among data is also a useful way to tame complexity.
To run a successful affinity clustering exercise, follow the steps below.
Add data to the template in the form of sticky notes, broken out by topic or participant. This can take the form of research data, user feedback, notes from a retrospective — anything where you have a large dataset to analyze.
Have your team look over the data points and assign them to clusters based on themes. As you do this, look for what patterns emerge. Define each theme or category with a sentence or description.
Once the themes have emerged from your clustering exercise, the natural next step is to use your findings to inform further decision-making. What action items or next steps do your themes suggest?
To run a successful affinity clustering workshop with your team, you should: