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| Criterion |  UX Research Affinity Diagramming |  UX Design Customer Journey Canvas |  Product Discovery Assumption 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 a journey needs to be understood across several phases, it arranges experience, touchpoints, and opportunities into one picture. It makes gaps and friction along the user path clear. | 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. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 45–90 min | 1-3 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-10 | 3-10 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Customer Journey Canvas, Pain Points, Experience Opportunities | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | SynthesisQualitativeRoot cause | JourneyCustomerService designCanvas | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |