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Selected:Hypothesis-Driven TroubleshootingSmoke TestARID (Active Reviews for Intermediate Designs)Fake Door Test
| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Smoke Test |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | 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. | 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 is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-240 min | 1-5 Tage | 2–4 h review as a planning range; preparation and evaluation additional | 1-5 Tage |
Participantsdifferent | 1-6 | Nutzertraffic | Designers, developers as users, and facilitation | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Interest Metrics, Conversion Signal, Learning Note | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ValidationExperimentsDemandGrowth | ArchitectureEngineeringFeedbackValidationTasks | ValidationExperimentsDemandDiscovery |