Affinity clustering and dot voting

Affinity clustering brings order to chaos: organize items into logical groups. Dot voting then narrows the cluster set down to what the team will actually do.

Affinity clustering is a technique for analyzing research data or considering creative ideas. You take a pile of individual items — sticky notes, survey responses, brainstormed ideas — and group them into logical clusters. The clusters and their names usually surface themes the team did not see in the raw items.

How to run it: post all items on a whiteboard. Each team member silently moves items into rough groups for five minutes. Then the team talks: "Why are these together? What name fits this cluster?" The clusters that emerge are usually three to seven; if you end with more than ten, the team is being too granular and needs to merge.

Dot voting is the companion technique. Each team member gets a small number of dots (usually three to five) and places them on the clusters or items they think are highest priority. The clusters with the most dots win. It is simple, transparent, and democratic — and works in person or on a digital whiteboard.

The combination — cluster, then dot-vote — is one of the fastest paths from "we have too many ideas" to "we know what to do next". Build this rhythm into any planning session longer than 90 minutes.