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| Criterion |  Product Strategy DIBB |  Operations Causal Factor Analysis |  Operations Root Cause Analysis |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Low | High | Medium | Medium |
Timedifferent | 1-2 h | 2-6 h | 1-4 h | 1-3 h |
Participantsdifferent | 2-8 | 3-10 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | CausalityIncidentRoot causeTimeline | Root causeProblem solvingQualityIncident | Root causeTreeIncidentQuality |