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| Criterion |  UX Research Affinity Diagramming |  Architecture Quality Attribute Workshop |  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. | 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 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 | 2-4 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-10 | 5-15 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Quality Scenarios, Priority List, Architecture Concerns | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | SynthesisQualitativeRoot cause | RequirementsArchitectureWorkshop | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |