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| Criterion |  Growth A/B Testing |  Facilitation Dot Estimation |  Growth Growth Experiment |  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. | When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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. | 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 | 5-20 min | 1-2 Wochen | 1-5 Tage |
Participantsdifferent | 1-6 | 3-20 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Effort Heatmap, Risk Signals, Discussion Targets | Experiment card, Result summary, Next bet | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | EstimationEffortRisk | MarketingGrowthExperimentsLearning | ValidationExperimentsDemandGrowth |