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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Stock and Flow Diagram method illustration showing its working structure
Systems Thinking
Stock and Flow Diagram
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.A Stock and Flow Diagram shows how stocks, inflows, and outflows shape a system over time. It is especially suited when growth, delays, or capacity limits determine the dynamics.
Complexitydifferent
MediumMediumHighHigh
Timedifferent
1-3 h45-60 min1-4 Wochen2-6 h
Participantsdifferent
2-82-81-61-6
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summaryStock and Flow Model, Dynamics Notes, Simulation Hypotheses
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
DynamicsSimulationFeedbackSystems thinking
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