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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Kano Model |  Operations ABC Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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. | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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 | Medium | Medium | Low | Low |
Timedifferent | 30-240 min | 1-2 Tage | 30-60 min | 15-30 min |
Participantsdifferent | 1-6 | 10-50 | 1-5 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Kano Matrix, Feature Classes, Priority Themes | ABC Classification, Focus Rules, Control List | Root cause notes, Countermeasures |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | SatisfactionPrioritizationCustomer | PrioritizationOperationsPortfolio | Root causeIncidentLeanProblem solving |