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| Criterion |  Product Discovery Concierge MVP |  UX Research User Interviews |  Knowledge Modeling Knowledge Mapping |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 1-4 Wochen | 30–60 min per interview | 1-3 h | 30-60 min |
Participantsdifferent | 3-10 Kunden | 1 participant per interview | 3-12 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Interview Notes, Themes, Insight Summary | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | QualitativeResearchCustomerDiscovery | KnowledgeMappingRisk | ExperimentsValidationDiscoveryHypothesis |