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| Criterion |  Systems Thinking Causal Loop Diagram |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|
Purposedifferent | 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-8 | 1-6 | 1-5 |
Formatdifferent | Workshop | Async | Workshop + async |
Outputdifferent | Causal Loop Diagram, Feedback Notes, Leverage Points | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | FeedbackSystems thinkingCausalityDynamics | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |
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