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| Criterion |  Decision Making Delphi Method |  Product Discovery Assumption Mapping |  Product Discovery Fake Door Test |  Product Strategy DIBB |
|---|---|---|---|---|
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 45-60 min | 1-5 Tage | 1-2 h |
Participantsdifferent | 6-30 Experten | 2-8 | Nutzertraffic | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Assumption map, Test backlog, Risk ranking | Click Data, Interest Signal, Learning Decision | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | AssumptionsRiskExperimentsValidation | ValidationExperimentsDemandDiscovery | StrategyDecisionAssumptionsHypothesis |