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| Criterion |  UX Research HEART Framework |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Product Strategy KPI Tree |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | When metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 120 min initial, dann laufend | Mehrere Wochen | 1 Tag bis mehrere Wochen | 90-180 min initial, dann laufend |
Participantsdifferent | 3-6 | 2-6 researchers plus sample | 4-10 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | KPI Tree, Owner List |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | MetricsStrategyAlignmentMeasurement |