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| Criterion |  Systems Thinking Leverage Points |  Systems Thinking Causal Loop Diagram |  Growth A/B Testing |  Systems Thinking Stock and Flow Diagram |
|---|---|---|---|---|
Purposedifferent | 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. | A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. | 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. | A Stock and Flow Diagram shows how stocks, inflows, and outflows shape a system over time. It is especially suited when growth, delays, or capacity limits determine the dynamics. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | Half day | 1-3 h | 1-4 Wochen | 2-6 h |
Participantsdifferent | 3-12 | 2-8 | 1-6 | 1-6 |
Formatdifferent | Workshop | Workshop | Async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Causal Loop Diagram, Feedback Notes, Leverage Points | Experiment results, Decision log, Learning summary | Stock and Flow Model, Dynamics Notes, Simulation Hypotheses |
Tagsno overlap | Systems thinkingChangeStrategy | FeedbackSystems thinkingCausalityDynamics | ExperimentsGrowthAnalyticsValidation | DynamicsSimulationFeedbackSystems thinking |