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Selected:Failure Scenario AnalysisA/B TestingARID (Active Reviews for Intermediate Designs)Smoke Test
| Criterion |  Engineering Failure Scenario Analysis |  Growth A/B Testing |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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. | 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 | Medium | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 1-5 Tage |
Participantsdifferent | 3-8 | 1-6 | Designers, developers as users, and facilitation | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Experiment results, Decision log, Learning summary | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | FailureResilienceRisk | ExperimentsGrowthAnalyticsValidation | ArchitectureEngineeringFeedbackValidationTasks | ValidationExperimentsDemandGrowth |