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| Criterion |  Product Discovery Kano Model |  Engineering Fault Isolation |  Operations Ivy Lee Method |  Engineering Hypothesis-Driven Troubleshooting |
|---|---|---|---|---|
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. | 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. | With a restless workday full of too many open items, the method creates radical simplicity. It directs attention to a short sequence instead of a broad, still-open field. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-2 Tage | 30-180 min | 5-10 min daily | 30-240 min |
Participantsdifferent | 10-50 | 1-6 | 1 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Daily Priority List, Completion Notes | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary |
Tagsno overlap | SatisfactionPrioritizationCustomer | TroubleshootingDiagnosisEngineering | PrioritizationProductivityExecution | TroubleshootingProblem solvingDiagnosis |