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| Criterion |  UX Research HEART Framework |  Product Strategy ICE Scoring |  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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-6 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | HEART-GSM Table, Dashboard | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
