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| Criterion |  Delivery Value Stream Mapping |  Product Discovery Hypothesis Prioritization Canvas |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | 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 hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | 1-3 h | 60-90 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-10 | 3-8 | 1-8 |
Formatdifferent | Workshop | Workshop | Workshop + async |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | Prioritization Canvas, Hypothesis Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LeanFlowWasteDelivery | ExperimentsPrioritizationDiscoveryHypothesis | ForecastingFlowDelivery |
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