UX Research Analysis method

Affinity Diagramming

Affinity Diagramming organizes many observations into traceable patterns.

Affinity Diagramming groups individual observations by shared relationships. Named clusters, visible outliers, and sources make the emerging structure traceable and revisable in review.

Core question

What patterns emerge from individual notes, which outliers matter, and what question follows?

Plan the work Method guide

Start comparison

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Participants: 3-10
Time: 45–90 minutes

What patterns emerge from individual notes, which outliers matter, and what question follows?

Prepare material
Prepare material
Write one movable note for each observation, with context and source.
Cluster inductively
Cluster inductively
Bring related notes together without preset themes.
Review clusters
Review clusters
Name clusters with short material-based labels and test them together.
Derive questions
Derive questions
Record patterns, gaps, and follow-up questions without treating size as priority.

Update when evidence or context changes.

A good fit when

When many observations, statements, or ideas exist and patterns should emerge from the material.

Ideal for

Research synthesis
Workshop collaboration
Problem framing

Not good for

Simple reporting
Pure speed ideation

Outputs

Working artifact
Traceable, revisable working state.
Follow-up questions
Gaps and next steps.

Affinity work matrix

Fictional teaching example

Sourced notes, inductive clusters, and open questions.

Affinity work matrix
Work row	Source or case	Observation or statement	Provisional pattern	Open question or follow-up action
Working noteOne note with context.	F1: calendar note	F1: Saturday slot missing	Availability before travel	Question open
Cluster reviewTest the label and record counterexamples and gaps.	F2: fictional interview note	Borrows spontaneously without booking; counterexample to F1	Access needs planned and spontaneous paths	When does walk-in borrowing suffice, and when is booking confirmation needed?

1. Source or case
Working note
F1: calendar note
Cluster review
F2: fictional interview note
2. Observation or statement
Working note
F1: Saturday slot missing
Cluster review
Borrows spontaneously without booking; counterexample to F1
3. Provisional pattern
Working note
Availability before travel
Cluster review
Access needs planned and spontaneous paths
4. Open question or follow-up action
Working note
Question open
Cluster review
When does walk-in borrowing suffice, and when is booking confirmation needed?

Keep classifications traceable and revisable.

NN/G

First step

Define the analysis question and source scope. Prepare one movable note per observation with context and source.

Open the method guide

Good to do first

Paper illustration of two people facing each other, speech bubbles and an open interview notebook.

UX Research

User Interviews

Supplies the raw observations that get grouped inductively.

Innovation

Brainstorming

Supplies the many individual ideas that get condensed into theme clusters.

Where to go next?

Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.

Facilitation

Dot Voting

Condenses the resulting clusters into a prioritized shortlist.

Innovation

How Might We

Turns a recognized pattern into an open design question.

Deep dive

Purpose

When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.

How it works

Individual notes are placed side by side without premature categories and grouped by natural similarity. Only from the clusters do themes emerge that carry more weight than single quotes and turn research material into clear insight statements.

In detail

Affinity Diagramming works because scattered observations only mature into overarching patterns through quiet clustering. The method becomes noticeably more solid when raw data first stays close to its original form and categories only emerge from the clusters. Meaning, contrasts, and edge cases matter equally at the center, so many individual notes turn into robust, decision-relevant themes.

Facilitation

Bring sufficiently granular notes and keep the first sorting phase quiet so patterns aren't overrun by interpretation. The lever lies with clusters that are hard to name; the most interesting insight often sits there. Close with clear theme headlines, counterexamples, and a short conclusion for product or further research.

The method guide walks execution through 4 phases, timing, 4 pitfalls, and clear stop criteria.

Open method guide

Your perspective

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Sources and topics

Topics

Synthesis Qualitative Root cause

Sources

Affinity Diagramming for Sorting UX Findings and Ideas - NN/Gnngroup.comCluster related observations, ideas, or findings.Avoiding 3 Common Pitfalls of Affinity Diagramming - NN/Gnngroup.comConsider labels, dominance, and the transition to prioritization.

In playbooks

Plan and Evaluate UX ResearchMove from unclear research questions to reliable qualitative insights and next decisions.

Artifact templates

Affinity Diagramming: WorksheetTurn source material into movable notes and prepare an inductive clustering round.

markdown

affinity-diagramming-working-template.md

Turn source material into movable notes and prepare an inductive clustering round.

Affinity Diagramming: Worksheet

Question

To be confirmed

Desired outcome

To be confirmed

Scope

Create one affinity diagram Time: 45–90 minutes

Complete this worksheet on paper or in your own document during the work.

Preparation for this scope

Method setup

Materials: Individual sourced notes, a free surface, cluster and outlier markers, and versioned snapshots.
Roles: Facilitation, research or subject experts, and multiple perspectives; actively balance dominance.
Advance information: Prepare the question, complete raw material, source markers, and clustering boundaries. Split compound statements before the session.
Overall time needed: 45–90 minutes for up to about 30 notes; split larger sets into rounds.
Setup: One movable note contains one observation or statement. Clusters first emerge from relationships in the material; preset categories stay off the workspace.