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| Criterion |  Growth A/B Testing |  Architecture Risk Storming |  Architecture Quality Attribute Workshop |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | 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 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 | High | Low | Medium | Low |
Timedifferent | 1-4 Wochen | 60-90 min | 2-4 h | 1-5 Tage |
Participantsdifferent | 1-6 | 4-12 | 5-15 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Annotated Diagram, Prioritized Risk List, Action Backlog | Quality Scenarios, Priority List, Architecture Concerns | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | RiskArchitectureWorkshopValidation | RequirementsArchitectureWorkshop | ValidationExperimentsDemandGrowth |