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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
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Waste Analysis.
Operations
Waste 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 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 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
MediumMediumLowHigh
Timedifferent
Ongoing1-3 h45-120 min1-4 Wochen
Participantsdifferent
2-121-52-81-6
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Kanban board, WIP policies, Flow metricsFunnel report, Drop-off analysis, Optimization hypothesesWaste Map, Prioritized Waste, Improvement BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
FlowVisual managementDelivery
AnalyticsConversionGrowth
WasteLeanProcess improvement
ExperimentsGrowthAnalyticsValidation
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