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| Criterion |  Agile Example Mapping |  Product Discovery Opportunity Interview |  Product Discovery Concierge MVP |  Product Discovery Experiment 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 opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. | 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. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 30-60 min | 30-60 min je Interview | 1-4 Wochen | 30-60 min |
Participantsdifferent | 3-7 | 5-12 Interviews | 3-10 Kunden | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Example Map, Acceptance Criteria, Open Questions | Interview Notes, Opportunity Themes, Customer Quotes | Concierge Learnings, Service Blueprint, MVP Risks | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Behavior-Driven DevelopmentRequirementsExamplesRefinement | DiscoveryInterviewsOpportunityCustomer | MVPValidationServiceDiscovery | ExperimentsValidationDiscoveryHypothesis |