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| Criterion |  Product Discovery Experiment Canvas |  Decision Making Force Field Analysis |  Product Strategy DIBB |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 30-60 min | 45-90 min | 1-2 h | 45-90 min |
Participantsdifferent | 1-5 | 3-12 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Force Field Map, Change Levers, Risk Notes | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | ExperimentsValidationDiscoveryHypothesis | ChangeDecisionStrategy | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery |