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Criterion
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
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
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.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.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
MediumHighLowLow
Timedifferent
1-3 h1-4 Wochen30-60 min20-35 min
Participantsdifferent
2-81-61-51-5
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success MetricTest Card with a pre-set threshold
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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