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| Criterion |  UX Research HEART Framework |  Growth A/B Testing |  Growth Funnel Analysis |
|---|---|---|---|
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. | 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. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 120 min initial, dann laufend | 1-4 Wochen | 1-3 h |
Participantsdifferent | 3-6 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | HEART-GSM Table, Dashboard | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |
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