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| Criterion |  Agile Example Mapping |  Product Discovery Concierge MVP |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | 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. | 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 30-60 min | 1-4 Wochen | 60-90 min |
Participantsdifferent | 3-7 | 3-10 Kunden | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Example Map, Acceptance Criteria, Open Questions | Concierge Learnings, Service Blueprint, MVP Risks | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | Behavior-Driven DevelopmentRequirementsExamplesRefinement | MVPValidationServiceDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |
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