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| Criterion |  Growth A/B Testing |  Operations Change Analysis |  Architecture SAAM (Software Architecture Analysis Method) |  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. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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 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 | Medium | High | Low |
Timedifferent | 1-4 Wochen | 45-120 min | Preparation, scenario analysis, and findings review; effort depends on scope | 1-5 Tage |
Participantsdifferent | 1-6 | 2-6 | Architecture experts and stakeholders for scenarios and weighting | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Change Matrix, Cause Hypotheses, Validation Questions, Action List | 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 | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ChangeRoot causeTroubleshootingComparison | ArchitectureChangeAnalysisComparisonQuality | ValidationExperimentsDemandGrowth |