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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Strategy DIBB |  Operations Change Analysis |  Decision Making Force Field Analysis |
|---|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | 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 deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-240 min | 1-2 h | 45-120 min | 45-90 min |
Participantsdifferent | 1-6 | 2-8 | 2-6 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | DIBB document, Belief list, Bet list, Learning report | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | StrategyDecisionAssumptionsHypothesis | ChangeRoot causeTroubleshootingComparison | ChangeDecisionStrategy |