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Criterion
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
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.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
LowMediumMediumHigh
Timedifferent
20-45 min1-3 h1-3 h1-4 Wochen
Participantsdifferent
1-101-52-81-6
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Behavior Over Time Graph, Trend Hypotheses, Key EventsFunnel report, Drop-off analysis, Optimization hypothesesCausal Loop Diagram, Feedback Notes, Leverage PointsExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingPatternsDynamics
AnalyticsConversionGrowth
FeedbackSystems thinkingCausalityDynamics
ExperimentsGrowthAnalyticsValidation
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