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| Criterion |  Business Strategy GAP Analysis |  Growth Growth Experiment |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | GAP Analysis compares the current state with a target picture and makes the distance manageable. It becomes useful when, ahead of new initiatives, it must become clear which capabilities, processes, or resources are missing. | 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 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 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 | 1-3 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-6 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Gap Matrix, Action Plan, Risk Notes | Experiment card, Result summary, Next bet | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | StrategyAnalysisPlanning | MarketingGrowthExperimentsLearning | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |