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| Criterion |  Growth Flywheel |  Growth Growth Experiment |  Product Strategy Impact Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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 a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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 | 60-120 min | 1-2 Wochen | 45-90 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-6 | 3-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment card, Result summary, Next bet | Impact Map, Outcome Hypotheses, Delivery Options | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthRetentionConversion | MarketingGrowthExperimentsLearning | OutcomesStrategyBehaviorPlanning | ExperimentsGrowthAnalyticsValidation |