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Criterion
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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.
Complexitydifferent
HighLowLowHigh
Timedifferent
Half day1-5 Tage25-40 min1-4 Wochen
Participantsdifferent
3-12Nutzertraffic1-51-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Leverage Map, Action StrategyInterest Metrics, Conversion Signal, Learning NoteLearning Card with evidence and next actionExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingChangeStrategy
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryLearning
ExperimentsGrowthAnalyticsValidation
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