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| Criterion |  Product Discovery Concierge MVP |  UX Research Card Sorting |  Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | 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. | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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 | Low |
Timedifferent | 1-4 Wochen | 20-45 min | 1-2 h |
Participantsdifferent | 3-10 Kunden | Based on research question | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Content groups, Label set, IA hypotheses | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | MVPValidationServiceDiscovery | Information architectureNavigationStructure | StrategyDecisionAssumptionsHypothesis |
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