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| Criterion | ![]() Decision Making Delphi Method | ![]() Delivery Value Stream Mapping | ![]() Product Discovery Fake Door Test | ![]() Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | High | Medium | Medium | High |
Timedifferent | 1-4 Wochen | 1-3 h | 1-5 Tage | 30-90 min Setup, danach laufend |
Participantsdifferent | 6-30 Experten | 4-10 | Nutzertraffic | 1-8 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Current-state map, Future-state map, Bottleneck list | Click Data, Interest Signal, Learning Decision | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | ForecastingExpertsDecisionStrategy | LeanFlowWasteDelivery | ValidationExperimentsDemandDiscovery | ForecastingFlowDelivery |



