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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
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.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.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 min1-3 h1-3 h1-4 Wochen
Participantsdifferent
3-84-101-51-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogCurrent-state map, Future-state map, Bottleneck listFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthRetentionConversion
LeanFlowWasteDelivery
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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