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| Criterion |  Product Discovery Smoke Test |  Growth Growth Experiment |  Architecture arc42 |  Growth A/B Testing |
|---|---|---|---|---|
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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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. | 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. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 1-5 Tage | 1-2 Wochen | 1-2 Tage | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 1-6 | 1-4 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Experiment card, Result summary, Next bet | Architecture Document, Context View, Runtime View, Deployment View | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | MarketingGrowthExperimentsLearning | ArchitectureDocumentationCommunication | ExperimentsGrowthAnalyticsValidation |