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| Criterion |  Systems Thinking Causal Loop Diagram |  Growth Funnel Analysis |  Systems Thinking Current Reality Tree |  Growth A/B Testing |
|---|---|---|---|---|
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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once. | 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 | High | High |
Timedifferent | 1-3 h | 1-3 h | 2-6 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 3-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Causal Loop Diagram, Feedback Notes, Leverage Points | Funnel report, Drop-off analysis, Optimization hypotheses | Current Reality Tree, Core Problems, Intervention Ideas | Experiment results, Decision log, Learning summary |
Tagsno overlap | FeedbackSystems thinkingCausalityDynamics | AnalyticsConversionGrowth | Systems thinkingRoot causeConstraintsCausality | ExperimentsGrowthAnalyticsValidation |