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| Criterion |  Product Discovery Experiment Canvas |  Product Discovery Learning Card |  Decision Making Force Field Analysis |  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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 30-60 min | 25-40 min | 45-90 min | 1-2 h |
Participantsdifferent | 1-5 | 1-5 | 3-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Learning Card with evidence and next action | Force Field Map, Change Levers, Risk Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryLearning | ChangeDecisionStrategy | StrategyDecisionAssumptionsHypothesis |