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| Criterion |  Product Discovery Experiment Canvas |  Decision Making Delphi Method |  Product Discovery Learning Card |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | Low | High | Low | Low |
Timedifferent | 30-60 min | 1-4 Wochen | 25-40 min | 1-2 h |
Participantsdifferent | 1-5 | 6-30 Experten | 1-5 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Expert Forecast, Consensus Range, Assumption Notes | Learning Card with evidence and next action | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ExperimentsValidationDiscoveryHypothesis | ForecastingExpertsDecisionStrategy | ExperimentsValidationDiscoveryLearning | StrategyDecisionAssumptionsHypothesis |