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| Criterion |  UX Research Affinity Diagramming |  Architecture Quality Attribute Workshop |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | A Quality Attribute Workshop translates quality requirements into concrete scenarios and architecture impulses. The method brings product, engineering, and operations to the same view of desired properties. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 45–90 min | 2-4 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-10 | 5-15 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Quality Scenarios, Priority List, Architecture Concerns | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | SynthesisQualitativeRoot cause | RequirementsArchitectureWorkshop | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |