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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Behavior Over Time Graph.
Systems Thinking
Behavior Over Time Graph
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
A/B Testing workspace showing the question, observations, and next decision.
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.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.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.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
1-3 h20-45 min1-3 h1-4 Wochen
Participantsdifferent
2-81-101-51-6
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsBehavior Over Time Graph, Trend Hypotheses, Key EventsFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
Systems thinkingPatternsDynamics
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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