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| Criterion | ![]() UX Research Empathy Mapping | ![]() Product Discovery Assumption Mapping | ![]() Growth A/B Testing | ![]() UX Research Affinity Diagramming |
|---|---|---|---|---|
Purposedifferent | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | 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. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 30–60 min | 45-60 min | 1-4 Wochen | 45–90 min |
Participantsdifferent | 4-8 | 2-8 | 1-6 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Empathy Map, Assumptions List, Research Gaps | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | SynthesisQualitativeWorkshop | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation | SynthesisQualitativeRoot cause |



