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| Criterion |  Engineering Kanban |  Growth Funnel Analysis |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | Ongoing | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 1-5 | 1-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Funnel report, Drop-off analysis, Optimization hypotheses | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowVisual managementDelivery | AnalyticsConversionGrowth | ForecastingFlowDelivery |
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