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| Criterion |  Decision Making Delphi Method |  Product Discovery Learning Card |  Delivery Monte Carlo Forecasting |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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. | 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. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 1-4 Wochen | 25-40 min | 30-90 min Setup, danach laufend | 1-5 Tage |
Participantsdifferent | 6-30 Experten | 1-5 | 1-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Learning Card with evidence and next action | Forecast Percentiles, Throughput Dataset, Risk Communication | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ForecastingExpertsDecisionStrategy | ExperimentsValidationDiscoveryLearning | ForecastingFlowDelivery | ValidationExperimentsDemandDiscovery |