View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Decision Making Delphi Method |  Product Strategy DIBB |  Product Discovery Fake Door Test |  Product Discovery Riskiest Assumption 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 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-2 h | 1-5 Tage | 1-2 Wochen pro Iteration |
Participantsdifferent | 6-30 Experten | 2-8 | Nutzertraffic | 2-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Click Data, Interest Signal, Learning Decision | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryAssumptions |