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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Growth Growth Experiment |  Engineering Fault Isolation |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | Medium | Medium | Medium | Low |
Timedifferent | 30-240 min | 1-2 Wochen | 30-180 min | 1-5 Tage |
Participantsdifferent | 1-6 | 1-6 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Experiment card, Result summary, Next bet | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | MarketingGrowthExperimentsLearning | TroubleshootingDiagnosisEngineering | ValidationExperimentsDemandGrowth |