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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
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighHighLowMedium
Timedifferent
1-4 WochenMehrere Tage bis Wochen1-5 Tage45-60 min
Participantsdifferent
1-61-5 Modellierende, Stakeholder asynchronNutzertraffic2-8
Formatdifferent
AsyncAsyncAsyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summarySimulation Model, Scenario ReportsInterest Metrics, Conversion Signal, Learning NoteAssumption map, Test backlog, Risk ranking
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Systems thinkingDynamicsSimulationAnalysis
ValidationExperimentsDemandGrowth
AssumptionsRiskExperimentsValidation
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