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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Paper illustration for Flywheel.
Growth
Flywheel
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.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.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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
MediumLowMediumHigh
Timedifferent
1-3 h30-120 min60-120 min1-4 Wochen
Participantsdifferent
1-52-63-81-6
Formatdifferent
AsyncWorkshopWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesObservation Notes, Improvement IdeasFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
LeanObservationProcessOperations
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
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