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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Pretotyping |  Product Discovery Smoke Test |  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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Low | Low | High |
Timedifferent | 45–90 min | Stunden bis wenige Tage | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-10 | 1-4 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | SynthesisQualitativeRoot cause | ValidationDemandMVP | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |