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| Criterion | ![]() Product Discovery Fake Door Test | ![]() Decision Making Delphi Method | ![]() Product Strategy DIBB | ![]() Product Discovery Test Card |
|---|---|---|---|---|
Purposedifferent | 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 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | 1-5 Tage | 1-4 Wochen | 1-2 h | 20-35 min |
Participantsdifferent | Nutzertraffic | 6-30 Experten | 2-8 | 1-5 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Click Data, Interest Signal, Learning Decision | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Test Card with a pre-set threshold |
Tagsno overlap | ValidationExperimentsDemandDiscovery | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryHypothesis |



