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| Criterion |  Product Discovery Opportunity Solution Tree |  Agile Specification by Example |  Agile Example Mapping |  Product Discovery Dual-Track Agile |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 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 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 | Medium | Low | Medium |
Timedifferent | 1-2 h Setup, laufend | 60-90 min pro Feature | 30-60 min | Laufend, Wochen bis Monate |
Participantsdifferent | 2-6 | 3-6 | 3-7 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Example Table, Acceptance Tests | Example Map, Acceptance Criteria, Open Questions | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | AgileRequirementsExamplesBehavior-Driven Development | Behavior-Driven DevelopmentRequirementsExamplesRefinement | AgileDiscoveryDelivery |