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| Criterion |  Growth A/B Testing |  Architecture arc42 |  Growth Pirate Metrics AARRR |  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. | arc42 structures architecture knowledge so teams can document system, decisions, and risks consistently. The template builds a living understanding of the architecture instead of scattered notes. | 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. | 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 | Low | Medium | Low |
Timedifferent | 1-4 Wochen | 1-2 Tage | 1-2 h Setup, laufend | 1-5 Tage |
Participantsdifferent | 1-6 | 1-4 | 2-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Architecture Document, Context View, Runtime View, Deployment View | AARRR funnel, Metric baseline, Experiment backlog | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ArchitectureDocumentationCommunication | GrowthMetricsExperiments | ValidationExperimentsDemandGrowth |