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| Criterion |  Operations Scatter Diagram |  Product Strategy DIBB |  Product Discovery Assumption Mapping |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 30-90 min | 1-2 h | 45-60 min | 2-6 h |
Participantsdifferent | 1-4 | 2-8 | 2-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | DIBB document, Belief list, Bet list, Learning report | Assumption map, Test backlog, Risk ranking | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | Root causeQualityVisualization | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskExperimentsValidation | RiskQualityOperationsRoot cause |