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| Criterion |  Product Discovery Concierge MVP |  UX Research User Interviews |  Product Strategy DIBB |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 30–60 min per interview | 1-2 h | 1-2 Wochen pro Iteration |
Participantsdifferent | 3-10 Kunden | 1 participant per interview | 2-8 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Interview Notes, Themes, Insight Summary | DIBB document, Belief list, Bet list, Learning report | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | MVPValidationServiceDiscovery | QualitativeResearchCustomerDiscovery | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryAssumptions |