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Criterion
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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
Stock and Flow Diagram method illustration showing its working structure
Systems Thinking
Stock and Flow Diagram
Purposedifferent
When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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.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
LowMediumHighHigh
Timedifferent
1-5 Tage1-3 h1-4 Wochen2-6 h
Participantsdifferent
Nutzertraffic2-81-61-6
Formatdifferent
AsyncWorkshopAsyncWorkshop + async
Outputdifferent
Interest Metrics, Conversion Signal, Learning NoteCausal Loop Diagram, Feedback Notes, Leverage PointsExperiment results, Decision log, Learning summaryStock and Flow Model, Dynamics Notes, Simulation Hypotheses
Tagsno overlap
ValidationExperimentsDemandGrowth
FeedbackSystems thinkingCausalityDynamics
ExperimentsGrowthAnalyticsValidation
DynamicsSimulationFeedbackSystems thinking
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