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| Criterion |  Growth Funnel Analysis |  Growth Growth Experiment |  Facilitation Barcamp |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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 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 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 1-3 h | 1-2 Wochen | Halber Tag bis 2 Tage | 1-4 Wochen |
Participantsdifferent | 1-5 | 1-6 | 15-200 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment card, Result summary, Next bet | Session Board, Session Notes, Community Learnings | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | MarketingGrowthExperimentsLearning | FacilitationLarge groupLearning | ExperimentsGrowthAnalyticsValidation |