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| Criterion |  Decision Making Delphi Method |  Agile NoEstimates |  Product Discovery Fake Door Test |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | laufend | 1-5 Tage | 45-75 min |
Participantsdifferent | 6-30 Experten | 2-12 | Nutzertraffic | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Throughput Data, Flow Forecast, Slicing Rules | Click Data, Interest Signal, Learning Decision | Test Matrix, Test Plan |
Tagsno overlap | ForecastingExpertsDecisionStrategy | EstimationForecastingFlow | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryOptions |