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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.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 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
MediumLowHighHigh
Timedifferent
1-3 h45-90 minHalf day1-4 Wochen
Participantsdifferent
1-53-123-121-6
Formatdifferent
AsyncWorkshopWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesForce Field Map, Change Levers, Risk NotesLeverage Map, Action StrategyExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
ChangeDecisionStrategy
Systems thinkingChangeStrategy
ExperimentsGrowthAnalyticsValidation
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