Affinity mapping (AKA affinity diagramming) clusters raw research data (interviews, surveys, observations) into meaningful themes. Core: collect data → write insights on cards → cluster by theme → name clusters → synthesize recommendations. Used in UX research, product management, design thinking, and agile discovery. Teams use affinity maps to spot user needs, validate hypotheses, and align on priority. Not complex, but high-impact: teams that skip synthesis ship features users don't want. Career path: UX researcher → senior researcher → research director.
Affinity mapping is a structured way to make sense of qualitative research data. You gather insights from interviews, observations, or surveys, write each insight on a card (or digital equivalent), then cluster similar cards together. Out of the clusters emerge themes, which then inform product decisions. It's sometimes called "affinity diagramming" or "thematic clustering." The process is visual and collaborative: your team sits around a table (or Zoom) and collectively decides which insights belong together. Done well, affinity mapping turns 20 hours of raw interview transcripts into 5-7 clear, actionable themes in 3-4 hours.
| 지역 | 주니어 | 미들 | 시니어 |
|---|---|---|---|
| USA | $70k | $110k | $160k |
| UK | £45k | £70k | £110k |
| EU | €50k | €75k | €120k |
| CANADA | C$75k | C$120k | C$170k |
커리어 매칭을 해보세요 — 맞는 방향을 제안해 드립니다.
나에게 맞는 스킬 찾기 →2,536개 직무를 스킬 기반으로 매칭. 무료, 약 2분.
커리어 매칭 무료로 하기 →