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| Criterion | ![]() Decision Making Eisenhower Matrix | ![]() Decision Making Assumption Surfacing | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | Low | Medium | Low |
Timedifferent | 15-30 min | 45-90 min | 60-90 min | 1-2 h |
Participantsdifferent | 1-6 | 2-8 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Eisenhower Matrix, Action List, Delegation Notes | Assumption List, Critical Assumptions, Learning Plan | Prioritization Canvas, Hypothesis Backlog | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | PrioritizationFocusTasks | AssumptionsRiskDecisionDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | StrategyDecisionAssumptionsHypothesis |



