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| Criterion | ![]() Decision Making Assumption Surfacing | ![]() Decision Making PERT Estimation | ![]() Product Discovery Experiment Canvas | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes. | 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. | 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 | Medium | Low | Low |
Timedifferent | 45-90 min | 15-45 min | 30-60 min | 1-2 h |
Participantsdifferent | 2-8 | 1-8 | 1-5 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Assumption List, Critical Assumptions, Learning Plan | PERT Estimate, Expected Value, Risk Notes | Completed Experiment Canvas, Success Metric | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | AssumptionsRiskDecisionDiscovery | EstimationUncertaintyRisk | ExperimentsValidationDiscoveryHypothesis | StrategyDecisionAssumptionsHypothesis |



