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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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 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
MediumMediumMediumHigh
Timedifferent
60-120 min0.5-5 Tage1-3 h1-4 Wochen
Participantsdifferent
3-84-101-51-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthRetentionConversion
LeanContinuous improvementOperations
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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