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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Assumption Mapping |  UX Research Empathy 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. | When a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | 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 | Low | High |
Timedifferent | 45–90 min | 45-60 min | 30–60 min | 1-4 Wochen |
Participantsdifferent | 3-10 | 2-8 | 4-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Assumption map, Test backlog, Risk ranking | Empathy Map, Assumptions List, Research Gaps | Experiment results, Decision log, Learning summary |
Tagsno overlap | SynthesisQualitativeRoot cause | AssumptionsRiskExperimentsValidation | SynthesisQualitativeWorkshop | ExperimentsGrowthAnalyticsValidation |