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| Criterion |  Product Discovery Kano Model |  Operations Root Cause Analysis |  Engineering Hypothesis-Driven Troubleshooting |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 Tage | 1-4 h | 30-240 min | 1-3 h |
Participantsdifferent | 10-50 | 3-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | SatisfactionPrioritizationCustomer | Root causeProblem solvingQualityIncident | TroubleshootingProblem solvingDiagnosis | Root causeTreeIncidentQuality |