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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 Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test 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 Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.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 Tage20-35 min1-4 Wochen
Participantsdifferent
3-12Nutzertraffic1-51-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Leverage Map, Action StrategyInterest Metrics, Conversion Signal, Learning NoteTest Card with a pre-set thresholdExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingChangeStrategy
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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