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| Criterion |  UX Research HEART Framework |  Delivery RAID Log |  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 scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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 | Low | High |
Timedifferent | 120 min initial, dann laufend | 30 min Setup, dann laufend | 1-4 Wochen |
Participantsdifferent | 3-6 | 1-3 maintaining, briefing for everyone | 1-6 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | HEART-GSM Table, Dashboard | RAID Log, Status Report Source | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | RiskTrackingStakeholdersGovernance | ExperimentsGrowthAnalyticsValidation |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
