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| Criterion |  Product Discovery Concierge MVP |  Agile Example Mapping |  Agile Specification by Example |  Product Discovery Dual-Track Agile |
|---|---|---|---|---|
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 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 business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-4 Wochen | 30-60 min | 60-90 min pro Feature | Laufend, Wochen bis Monate |
Participantsdifferent | 3-10 Kunden | 3-7 | 3-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Example Map, Acceptance Criteria, Open Questions | Example Table, Acceptance Tests | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories |
Tagsno overlap | MVPValidationServiceDiscovery | Behavior-Driven DevelopmentRequirementsExamplesRefinement | AgileRequirementsExamplesBehavior-Driven Development | AgileDiscoveryDelivery |