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| Criterion |  Growth A/B Testing |  Product Discovery Smoke Test |  Product Strategy OKRs |
|---|---|---|---|
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 strategic direction needs to become measurable, it connects ambition with checkable results. It makes goals connectable to focus and review. |
Complexitydifferent | High | Low | Medium |
Timedifferent | 1-4 Wochen | 1-5 Tage | 1-2 h Setup |
Participantsdifferent | 1-6 | Nutzertraffic | 2-20 |
Formatdifferent | Async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | OKR set, Measurement plan, Review cadence |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | GoalsAlignmentOutcomesMeasurement |
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