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| Criterion |  Product Discovery Concierge MVP |  Agile Specification by Example |  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 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 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 | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 60-90 min pro Feature | 30-60 min | 30-60 min |
Participantsdifferent | 3-10 Kunden | 3-6 | 1-5 | 3-7 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Example Table, Acceptance Tests | Completed Experiment Canvas, Success Metric | Example Map, Acceptance Criteria, Open Questions |
Tagsno overlap | MVPValidationServiceDiscovery | AgileRequirementsExamplesBehavior-Driven Development | ExperimentsValidationDiscoveryHypothesis | Behavior-Driven DevelopmentRequirementsExamplesRefinement |