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| Criterion |  Product Discovery Pretotyping |  Decision Making Delphi Method |  Product Strategy DIBB |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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 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 | Low | High | Low | Medium |
Timedifferent | Stunden bis wenige Tage | 1-4 Wochen | 1-2 h | 1-5 Tage |
Participantsdifferent | 1-4 | 6-30 Experten | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationDemandMVP | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | ValidationExperimentsDemandDiscovery |