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| Criterion |  Product Discovery Concierge MVP |  Product Discovery Experiment Canvas |  Agile Example Mapping |
|---|---|---|---|
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 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. | When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. |
Complexitydifferent | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 30-60 min | 30-60 min |
Participantsdifferent | 3-10 Kunden | 1-5 | 3-7 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Completed Experiment Canvas, Success Metric | Example Map, Acceptance Criteria, Open Questions |
Tagsno overlap | MVPValidationServiceDiscovery | ExperimentsValidationDiscoveryHypothesis | Behavior-Driven DevelopmentRequirementsExamplesRefinement |
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