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Selected:ARID (Active Reviews for Intermediate Designs)Causal Factor AnalysisSmoke TestFake Door Test
| Criterion |  Architecture ARID (Active Reviews for Intermediate Designs) |  Operations Causal Factor Analysis |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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. | 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 | High | Low | Medium |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 2-6 h | 1-5 Tage | 1-5 Tage |
Participantsdifferent | Designers, developers as users, and facilitation | 3-10 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | CausalityIncidentRoot causeTimeline | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |