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| Criterion |  Growth Funnel Analysis |  Systems Thinking Behavior Over Time Graph |  Systems Thinking Causal Loop Diagram |  Growth A/B Testing |
|---|---|---|---|---|
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. | A Behavior Over Time Graph shows how a metric or observation develops over time. The method makes trends, breaks, and recurring patterns visible that get lost in snapshots. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 1-3 h | 20-45 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-5 | 1-10 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Behavior Over Time Graph, Trend Hypotheses, Key Events | Causal Loop Diagram, Feedback Notes, Leverage Points | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | Systems thinkingPatternsDynamics | FeedbackSystems thinkingCausalityDynamics | ExperimentsGrowthAnalyticsValidation |