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| Criterion |  Growth A/B Testing |  Business Strategy Strategy Execution Loop |  Product Discovery Smoke Test |  Growth Growth Experiment |
|---|---|---|---|---|
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. | The Strategy Execution Loop helps avoid treating strategy as a one-off document. It makes visible how strategic decisions are turned into objectives, initiatives, operational work, measurement, and learning. | 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. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | 1-4 Wochen | Initial 3-6 h, then monthly or quarterly reviews | 1-5 Tage | 1-2 Wochen |
Participantsdifferent | 1-6 | 5-12 | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Execution Loop, Review Cadence, Strategic Learning Log | Interest Metrics, Conversion Signal, Learning Note | Experiment card, Result summary, Next bet |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ExecutionCadenceLearningGovernance | ValidationExperimentsDemandGrowth | MarketingGrowthExperimentsLearning |