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| Criterion |  Decision Making Delphi Method |  Product Strategy DIBB |  Product Discovery Smoke Test |  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. | 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Low | Medium |
Timedifferent | 1-4 Wochen | 1-2 h | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 6-30 Experten | 2-8 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |