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Criterion
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
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
When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.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
Ongoing1-3 h1-3 h1-4 Wochen
Participantsdifferent
2-124-101-51-6
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Kanban board, WIP policies, Flow metricsCurrent-state map, Future-state map, Bottleneck listFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
FlowVisual managementDelivery
LeanFlowWasteDelivery
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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