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| Criterion |  Architecture Quality Attribute Workshop |  Innovation Design Thinking |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 | Medium | High | High | Low |
Timedifferent | 2-4 h | 1 Tag bis mehrere Wochen | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 5-15 | 4-10 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Quality Scenarios, Priority List, Architecture Concerns | Problem Statement, Prototype, Test Learnings | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | RequirementsArchitectureWorkshop | InnovationPrototypeResearch | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |