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| Criterion | ![]() Engineering Hypothesis-Driven Troubleshooting | ![]() Decision Making OODA Loop | ![]() 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. | In dynamic situations, decisions become outdated faster than they can be prepared.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. | 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 | Medium | Medium | Low |
Timedifferent | 30-240 min | 15-60 min je Zyklus | 45-120 min | 45-90 min |
Participantsdifferent | 1-6 | 1-8 | 2-6 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Situation Assessment, Decision Loop, Action Updates | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | DecisionChangeLearningStrategy | ChangeRoot causeTroubleshootingComparison | ChangeDecisionStrategy |



