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| Criterion | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Decision Making Force Field Analysis | ![]() Product Discovery Test Card | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | 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 | Medium | Low | Low | Low |
Timedifferent | 60-90 min | 45-90 min | 20-35 min | 1-2 h |
Participantsdifferent | 3-8 | 3-12 | 1-5 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Force Field Map, Change Levers, Risk Notes | Test Card with a pre-set threshold | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ChangeDecisionStrategy | ExperimentsValidationDiscoveryHypothesis | StrategyDecisionAssumptionsHypothesis |



