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| Criterion |  Product Discovery Pretotyping |  Delivery Value Stream Mapping |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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. |
Complexitydifferent | Low | Medium | High |
Timedifferent | Stunden bis wenige Tage | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 1-4 | 4-10 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Current-state map, Future-state map, Bottleneck list | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | ValidationDemandMVP | LeanFlowWasteDelivery | ForecastingFlowDelivery |
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