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| Criterion |  UX Research HEART Framework |  Product Strategy ICE Scoring |  Product Strategy Counter Metrics |  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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. | 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 | Low | High |
Timedifferent | 120 min initial, dann laufend | 30-60 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-6 | 2-8 | 2-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | HEART-GSM Table, Dashboard | ICE Table, Top Idea List | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | PrioritizationScoringGrowthDecision | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation |