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| Criterion |  Delivery Monte Carlo Forecasting |  Product Strategy Lean Canvas |  Delivery Value Stream Mapping |  Engineering Kanban |
|---|---|---|---|---|
Purposedifferent | 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. | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 1-3 h | Ongoing |
Participantsdifferent | 1-8 | 1-6 | 4-10 | 2-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Lean Canvas, Core Assumptions, Experiment Backlog | Current-state map, Future-state map, Bottleneck list | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | ForecastingFlowDelivery | StartupLeanAssumptionsBusiness model | LeanFlowWasteDelivery | FlowVisual managementDelivery |