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| Criterion |  Growth Growth Experiment |  Engineering Fault Isolation |  Engineering Hypothesis-Driven Troubleshooting |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | 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 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 Wochen | 30-180 min | 30-240 min | 1-2 h Setup, laufend |
Participantsdifferent | 1-6 | 1-6 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment card, Result summary, Next bet | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | MarketingGrowthExperimentsLearning | TroubleshootingDiagnosisEngineering | TroubleshootingProblem solvingDiagnosis | GrowthMetricsExperiments |