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| Criterion |  Growth A/B Testing |  Growth Pirate Metrics AARRR |  Architecture ARID (Active Reviews for Intermediate Designs) |  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. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. | 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 | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-2 h Setup, laufend | 2–4 h review as a planning range; preparation and evaluation additional | 1-5 Tage |
Participantsdifferent | 1-6 | 2-8 | Designers, developers as users, and facilitation | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | 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 | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | ArchitectureEngineeringFeedbackValidationTasks | ValidationExperimentsDemandGrowth |