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| Criterion |  UX Research HEART Framework |  Decision Making Delphi Method |  Product Strategy DIBB |  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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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 | Low | Medium |
Timedifferent | 120 min initial, dann laufend | 1-4 Wochen | 1-2 h | 90-180 min initial, dann laufend |
Participantsdifferent | 3-6 | 6-30 Experten | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | KPI Tree, Owner List |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | MetricsStrategyAlignmentMeasurement |