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| Criterion |  Growth A/B Testing |  Product Discovery Smoke Test |  Domain Modeling Context Map |
|---|---|---|---|
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. | 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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. |
Complexitydifferent | High | Low | Medium |
Timedifferent | 1-4 Wochen | 1-5 Tage | 1-3 h |
Participantsdifferent | 1-6 | Nutzertraffic | 2-8 |
Formatdifferent | Async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Context Map, Integration Patterns, Boundary Notes |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | Domain-Driven DesignBoundariesStrategy |
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