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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Kano Model |  Operations Root Cause Tree Analysis |  Operations Root Cause 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. | 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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-240 min | 1-2 Tage | 1-3 h | 1-4 h |
Participantsdifferent | 1-6 | 10-50 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Kano Matrix, Feature Classes, Priority Themes | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | SatisfactionPrioritizationCustomer | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |