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| Criterion | ![]() Product Discovery Kano Model | ![]() Delivery Value Stream Mapping | ![]() Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | 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 | Medium | Medium | High |
Timedifferent | 1-2 Tage | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 10-50 | 4-10 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Current-state map, Future-state map, Bottleneck list | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | SatisfactionPrioritizationCustomer | LeanFlowWasteDelivery | ForecastingFlowDelivery |
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