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| Criterion |  Product Discovery Concierge MVP |  Agile Specification by Example |  Product Discovery Fake Door Test |  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 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 60-90 min pro Feature | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-10 Kunden | 3-6 | Nutzertraffic | 3-7 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Example Table, Acceptance Tests | Click Data, Interest Signal, Learning Decision | Example Map, Acceptance Criteria, Open Questions |
Tagsno overlap | MVPValidationServiceDiscovery | AgileRequirementsExamplesBehavior-Driven Development | ValidationExperimentsDemandDiscovery | Behavior-Driven DevelopmentRequirementsExamplesRefinement |