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| Criterion |  Delivery Value Stream Mapping |  Delivery Monte Carlo Forecasting |  Growth Flywheel |
|---|---|---|---|
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. | 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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | 60-120 min |
Participantsdifferent | 4-10 | 1-8 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | Forecast Percentiles, Throughput Dataset, Risk Communication | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog |
Tagsno overlap | LeanFlowWasteDelivery | ForecastingFlowDelivery | GrowthRetentionConversion |
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