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| Criterion |  Growth A/B Testing |  Facilitation Barcamp |  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. | When many people can contribute knowledge and the flow should stay open, Barcamp provides a framework for self-organized sessions. The format channels energy without defining the content too narrowly in advance. | 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 | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | Halber Tag bis 2 Tage | 1-5 Tage | 1-2 Wochen |
Participantsdifferent | 1-6 | 15-200 | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Session Board, Session Notes, Community Learnings | Interest Metrics, Conversion Signal, Learning Note | Experiment card, Result summary, Next bet |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | FacilitationLarge groupLearning | ValidationExperimentsDemandGrowth | MarketingGrowthExperimentsLearning |