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Criterion
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
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 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 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
HighMediumMediumHigh
Timedifferent
2-6 h1-3 h1-3 h1-4 Wochen
Participantsdifferent
3-81-52-81-6
Formatdifferent
WorkshopAsyncWorkshopAsync
Outputdifferent
Current Reality Tree, Core Problems, Intervention IdeasFunnel report, Drop-off analysis, Optimization hypothesesCausal Loop Diagram, Feedback Notes, Leverage PointsExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingRoot causeConstraintsCausality
AnalyticsConversionGrowth
FeedbackSystems thinkingCausalityDynamics
ExperimentsGrowthAnalyticsValidation
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