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| Criterion |  Growth Growth Experiment |  Systems Thinking Leverage Points |  Decision Making Force Field Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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 | High | Low | High |
Timedifferent | 1-2 Wochen | Half day | 45-90 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 3-12 | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Experiment card, Result summary, Next bet | Leverage Map, Action Strategy | Force Field Map, Change Levers, Risk Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | MarketingGrowthExperimentsLearning | Systems thinkingChangeStrategy | ChangeDecisionStrategy | ExperimentsGrowthAnalyticsValidation |