View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  UX Research HEART Framework |  Growth Funnel Analysis |  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. | 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. | 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 | Medium | High |
Timedifferent | 120 min initial, dann laufend | 1-3 h | 90-180 min | 1-4 Wochen |
Participantsdifferent | 3-6 | 1-5 | 3-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | HEART-GSM Table, Dashboard | Funnel report, Drop-off analysis, Optimization hypotheses | GQM Table, Metric Profiles | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | AnalyticsConversionGrowth | MetricsMeasurementEngineeringAlignment | ExperimentsGrowthAnalyticsValidation |