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| Criterion | ![]() UX Research HEART Framework | ![]() Engineering Goal Question Metric | ![]() Growth A/B Testing |
|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | High |
Timedifferent | 120 min initial, dann laufend | 90-180 min | 1-4 Wochen |
Participantsdifferent | 3-6 | 3-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async |
Outputdifferent | HEART-GSM Table, Dashboard | GQM Table, Metric Profiles | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | MetricsMeasurementEngineeringAlignment | ExperimentsGrowthAnalyticsValidation |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.






