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| Criterion |  Operations Scatter Diagram |  Product Strategy DIBB |  Operations Root Cause Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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 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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Low | Low | Medium | Low |
Timedifferent | 30-90 min | 1-2 h | 1-4 h | 15-30 min |
Participantsdifferent | 1-4 | 2-8 | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | DIBB document, Belief list, Bet list, Learning report | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Root cause notes, Countermeasures |
Tagsno overlap | Root causeQualityVisualization | StrategyDecisionAssumptionsHypothesis | Root causeProblem solvingQualityIncident | Root causeIncidentLeanProblem solving |