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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Assumption Mapping |  Knowledge Modeling Knowledge Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 45–90 min | 45-60 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-10 | 2-8 | 3-12 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Assumption map, Test backlog, Risk ranking | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | SynthesisQualitativeRoot cause | AssumptionsRiskExperimentsValidation | KnowledgeMappingRisk | ExperimentsGrowthAnalyticsValidation |