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| Criterion |  Product Discovery Smoke Test |  Architecture Quality Attribute Workshop |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Low | Medium | High |
Timedifferent | 1-5 Tage | 2-4 h | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 5-15 | 1-6 |
Formatdifferent | Async | Workshop | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Quality Scenarios, Priority List, Architecture Concerns | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | RequirementsArchitectureWorkshop | ExperimentsGrowthAnalyticsValidation |
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