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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Pretotyping |  Operations Barrier Analysis |  Operations MORT 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. | 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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 30-240 min | Stunden bis wenige Tage | 2-4 h | Mehrere Tage bis Wochen |
Participantsdifferent | 1-6 | 1-4 | 2-6 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ValidationDemandMVP | Root causeSafetyIncident | Root causeSafetySystemicIncident |