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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Growth Pirate Metrics AARRR |  Engineering Fault Isolation |  Growth A/B Testing |
|---|---|---|---|---|
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. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. | 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 30-240 min | 1-2 h Setup, laufend | 30-180 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 2-8 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | AARRR funnel, Metric baseline, Experiment backlog | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Experiment results, Decision log, Learning summary |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | GrowthMetricsExperiments | TroubleshootingDiagnosisEngineering | ExperimentsGrowthAnalyticsValidation |