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| Criterion |  Product Discovery Dual-Track Agile |  Agile Example Mapping |  Product Discovery Problem Interview |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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 the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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 | Medium | Low | Medium | Low |
Timedifferent | Laufend, Wochen bis Monate | 30-60 min | 30-60 min je Interview | 30-60 min |
Participantsdifferent | 4-10 | 3-7 | 5-12 Interviews | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Example Map, Acceptance Criteria, Open Questions | Problem Evidence, Risk Notes, Customer Segments | Completed Experiment Canvas, Success Metric |
Tagsno overlap | AgileDiscoveryDelivery | Behavior-Driven DevelopmentRequirementsExamplesRefinement | DiscoveryInterviewsValidation | ExperimentsValidationDiscoveryHypothesis |