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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Solution Interview | ![]() 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 solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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 | 30-60 min je Interview | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-10 | 5-10 Interviews | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Solution Feedback, Objection List, Validation Notes | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | SynthesisQualitativeRoot cause | ValidationInterviewsPrototype | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |



