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| Criterion |  Growth A/B Testing |  UX Research HEART Framework |  Growth North Star Metric |  Engineering Goal Question Metric |
|---|---|---|---|---|
Purposedifferent | 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. | 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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 120 min initial, dann laufend | 1-2 h | 90-180 min |
Participantsdifferent | 1-6 | 3-6 | 3-8 | 3-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | HEART-GSM Table, Dashboard | North Star metric, Input metric tree, Measurement cadence | GQM Table, Metric Profiles |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | MetricsUX researchMeasurementSatisfaction | GrowthMetricsAlignmentRetention | MetricsMeasurementEngineeringAlignment |