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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Strategy DIBB |  Decision Making OODA Loop |  Operations Change 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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-240 min | 1-2 h | 15-60 min je Zyklus | 45-120 min |
Participantsdifferent | 1-6 | 2-8 | 1-8 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | DIBB document, Belief list, Bet list, Learning report | Situation Assessment, Decision Loop, Action Updates | Change Matrix, Cause Hypotheses, Validation Questions, Action List |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | StrategyDecisionAssumptionsHypothesis | DecisionChangeLearningStrategy | ChangeRoot causeTroubleshootingComparison |