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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Opportunity Scoring |  Product Discovery Kano Model |  Engineering Fault Isolation |
|---|---|---|---|---|
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 opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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. | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-240 min | 60-120 min | 1-2 Tage | 30-180 min |
Participantsdifferent | 1-6 | 3-6 | 10-50 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Opportunity Score Table, Top Outcomes | Kano Matrix, Feature Classes, Priority Themes | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | PrioritizationDiscoveryOutcomesNeeds | SatisfactionPrioritizationCustomer | TroubleshootingDiagnosisEngineering |