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| Criterion |  Product Discovery Pretotyping |  Engineering Hypothesis-Driven Troubleshooting |  Operations MORT Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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 safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | Stunden bis wenige Tage | 30-240 min | Mehrere Tage bis Wochen | 1-4 h |
Participantsdifferent | 1-4 | 1-6 | 2-6 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | ValidationDemandMVP | TroubleshootingProblem solvingDiagnosis | Root causeSafetySystemicIncident | Root causeProblem solvingQualityIncident |