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| Criterion |  Growth Flywheel |  Growth Growth Experiment |  Decision Making Force Field Analysis |  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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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 | Low | High |
Timedifferent | 60-120 min | 1-2 Wochen | 45-90 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-6 | 3-12 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment card, Result summary, Next bet | Force Field Map, Change Levers, Risk Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthRetentionConversion | MarketingGrowthExperimentsLearning | ChangeDecisionStrategy | ExperimentsGrowthAnalyticsValidation |