UX researchers often have piles of messy interview notes and survey responses. Affinity diagrams turn that chaos into clear themes. This tool groups your data points into natural clusters and gives each one a descriptive label.
You start by pulling out individual observations and quotes. Then you cluster them without forcing any preset categories. The result is a simple hierarchy of 3 to 5 top-level themes. Each theme comes with a clear insight statement that explains why it matters for your design decisions.
The method treats every participant equally. It makes sure you do not overlook important patterns from later interviews. This helps you build a fair and useful summary of what people really said.
Global
mkdir -p ~/.claude/skills/affinity-diagramProject
mkdir -p .claude/skills/affinity-diagramSource Repository
Lark Baselarksuite/cli
Simplify your Lark Base data with tables, fields, records, and views
Lark Wikilarksuite/cli
Manage your Lark Wiki spaces, members, and documents with simple commands
Grillingmattpocock/skills
Test your plan thoroughly with clear step-by-step interview questions
Analyze Projectlllllllama/rigorpilot-skills
Safe read-only analysis of deep learning repos for understanding and risk detection
Ai Research Reproductionlllllllama/rigorpilot-skills
Faithful reproduction of deep learning research with auditable steps and minimal changes
Repo Intake And Planlllllllama/rigorpilot-skills
Scan a repo, find commands, and get a simple reproduction plan
Minimal Run And Auditlllllllama/rigorpilot-skills
Capture evidence from deep learning runs and create standardized audit reports
Obsidian Vaultmattpocock/skills
Search create and organize notes with wikilinks and index notes easily