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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Pretotyping |  Operations Change Analysis |  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. | 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 deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-240 min | Stunden bis wenige Tage | 45-120 min | 30-180 min |
Participantsdifferent | 1-6 | 1-4 | 2-6 | 1-6 |
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 | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ValidationDemandMVP | ChangeRoot causeTroubleshootingComparison | TroubleshootingDiagnosisEngineering |