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Criterion
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific 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.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 day30-60 min1-5 Tage1-4 Wochen
Participantsdifferent
3-122-8Nutzertraffic1-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Leverage Map, Action StrategyPower Interest Grid, Strategy per StakeholderInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingChangeStrategy
StakeholdersFacilitationAlignmentPlanning
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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