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| Criterion | ![]() Growth Funnel Analysis | ![]() Growth A/B Testing | ![]() Systems Thinking Causal Loop Diagram |
|---|---|---|---|
Purposedifferent | 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. | 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 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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 1-3 h | 1-4 Wochen | 1-3 h |
Participantsdifferent | 1-5 | 1-6 | 2-8 |
Formatdifferent | Async | Async | Workshop |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | FeedbackSystems thinkingCausalityDynamics |
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