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| Criterion |  Product Strategy DIBB |  Operations MORT Analysis |  Product Discovery Experiment Canvas |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | 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. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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. | 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. |
Complexitydifferent | Low | High | Low | Low |
Timedifferent | 1-2 h | Mehrere Tage bis Wochen | 30-60 min | 45-90 min |
Participantsdifferent | 2-8 | 2-6 | 1-5 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Completed Experiment Canvas, Success Metric | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Root causeSafetySystemicIncident | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery |