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| Criterion |  Product Discovery Smoke Test |  Growth A/B Testing |  Architecture ARID (Active Reviews for Intermediate Designs) |  Growth Funnel Analysis |
|---|---|---|---|---|
Purposedifferent | 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 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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | Low | High | Medium | Medium |
Timedifferent | 1-5 Tage | 1-4 Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 1-3 h |
Participantsdifferent | Nutzertraffic | 1-6 | Designers, developers as users, and facilitation | 1-5 |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | ArchitectureEngineeringFeedbackValidationTasks | AnalyticsConversionGrowth |