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| Criterion |  Decision Making Delphi Method |  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 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 | High |
Timedifferent | 1-4 Wochen | 1-5 Tage | 30-90 min Setup, danach laufend |
Participantsdifferent | 6-30 Experten | Nutzertraffic | 1-8 |
Formatdifferent | Async | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Click Data, Interest Signal, Learning Decision | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | ForecastingExpertsDecisionStrategy | ValidationExperimentsDemandDiscovery | ForecastingFlowDelivery |
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