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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
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.For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.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
MediumLowLowHigh
Timedifferent
1-3 h45-120 min30-120 min1-4 Wochen
Participantsdifferent
1-52-82-61-6
Formatdifferent
AsyncWorkshopWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesWaste Map, Prioritized Waste, Improvement BacklogObservation Notes, Improvement IdeasExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
WasteLeanProcess improvement
LeanObservationProcessOperations
ExperimentsGrowthAnalyticsValidation
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