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| Criterion |  Systems Thinking Intervention Mapping |  Growth Growth Experiment |  Systems Thinking Leverage Points |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. | 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. | 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 | High | Medium | High | High |
Timedifferent | 1-5 Tage | 1-2 Wochen | Half day | 1-4 Wochen |
Participantsdifferent | 4-12 | 1-6 | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Experiment card, Result summary, Next bet | Leverage Map, Action Strategy | Experiment results, Decision log, Learning summary |
Tagsno overlap | ChangeSystems thinkingCapability | MarketingGrowthExperimentsLearning | Systems thinkingChangeStrategy | ExperimentsGrowthAnalyticsValidation |