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| Criterion |  Product Discovery Pretotyping |  Engineering Hypothesis-Driven Troubleshooting |  Engineering Fault Isolation |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | Stunden bis wenige Tage | 30-240 min | 30-180 min | 1-5 Tage |
Participantsdifferent | 1-4 | 1-6 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ValidationDemandMVP | TroubleshootingProblem solvingDiagnosis | TroubleshootingDiagnosisEngineering | ValidationExperimentsDemandGrowth |