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| Criterion |  UX Research HEART Framework |  Decision Making Assumption Surfacing |  Product Discovery Concierge MVP |  Product Strategy DIBB |
|---|---|---|---|---|
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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 120 min initial, dann laufend | 45-90 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | 3-6 | 2-8 | 3-10 Kunden | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Assumption List, Critical Assumptions, Learning Plan | Concierge Learnings, Service Blueprint, MVP Risks | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | AssumptionsRiskDecisionDiscovery | MVPValidationServiceDiscovery | StrategyDecisionAssumptionsHypothesis |