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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Pretotyping |  Operations Barrier Analysis |  Operations Root Cause 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. | 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 | Medium | Low | Medium | Medium |
Timedifferent | 30-240 min | Stunden bis wenige Tage | 2-4 h | 1-4 h |
Participantsdifferent | 1-6 | 1-4 | 2-6 | 3-8 |
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 | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ValidationDemandMVP | Root causeSafetyIncident | Root causeProblem solvingQualityIncident |