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| Criterion | ![]() Engineering Fault Isolation | ![]() UX Research HEART Framework | ![]() Growth A/B Testing | ![]() Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | 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. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 30-180 min | 120 min initial, dann laufend | 1-4 Wochen | 1-2 h Setup, laufend |
Participantsdifferent | 1-6 | 3-6 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | HEART-GSM Table, Dashboard | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | TroubleshootingDiagnosisEngineering | MetricsUX researchMeasurementSatisfaction | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments |



