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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of System Dynamics Simulation with its method-specific working model.
Systems Thinking
System Dynamics Simulation
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Purposedifferent
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.System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports.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.
Complexitydifferent
HighHighMedium
Timedifferent
1-4 WochenMehrere Tage bis Wochen1-3 h
Participantsdifferent
1-61-5 Modellierende, Stakeholder asynchron2-8
Formatdifferent
AsyncAsyncWorkshop
Outputdifferent
Experiment results, Decision log, Learning summarySimulation Model, Scenario ReportsCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Systems thinkingDynamicsSimulationAnalysis
FeedbackSystems thinkingCausalityDynamics
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Stock and Flow Diagram method illustration showing its working structure
Systems Thinking
Stock and Flow Diagram
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping