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| Criterion |  Decision Making Force Field Analysis |  Product Strategy DIBB |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | 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 | Low | Low | Medium | Medium |
Timedifferent | 45-90 min | 1-2 h | 60-90 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 3-12 | 2-8 | 3-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | DIBB document, Belief list, Bet list, Learning report | Prioritization Canvas, Hypothesis Backlog | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | ChangeDecisionStrategy | StrategyDecisionAssumptionsHypothesis | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryAssumptions |