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| Criterion |  Architecture SAAM (Software Architecture Analysis Method) |  Growth A/B Testing |  Growth Growth Experiment |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning. | 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | High | Medium | Low |
Timedifferent | Preparation, scenario analysis, and findings review; effort depends on scope | 1-4 Wochen | 1-2 Wochen | 1-5 Tage |
Participantsdifferent | Architecture experts and stakeholders for scenarios and weighting | 1-6 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Domain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternatives | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ArchitectureChangeAnalysisComparisonQuality | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning | ValidationExperimentsDemandGrowth |