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Selected:A/B TestingARID (Active Reviews for Intermediate Designs)Root Cause Tree AnalysisSmoke Test
| Criterion |  Growth A/B Testing |  Architecture ARID (Active Reviews for Intermediate Designs) |  Operations Root Cause Tree Analysis |  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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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 | Medium | Low |
Timedifferent | 1-4 Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 1-3 h | 1-5 Tage |
Participantsdifferent | 1-6 | Designers, developers as users, and facilitation | 2-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Cause Tree, Evidence Notes, Countermeasures | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ArchitectureEngineeringFeedbackValidationTasks | Root causeTreeIncidentQuality | ValidationExperimentsDemandGrowth |