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| Criterion |  Product Discovery Dual-Track Agile |  UX Research Personas |  Agile Acceptance Criteria Workshop |  Agile Example Mapping |
|---|---|---|---|---|
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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | When a story needs clear checkpoints before implementation, it sharpens expectation and scope together. It sorts work by value, risk, and delivery ability. The result is captured as Acceptance Criteria and a Story Update. | 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 | Laufend, Wochen bis Monate | 1-3 Tage | 20-40 min pro Story | 30-60 min |
Participantsdifferent | 4-10 | Internes Team | 3-6 | 3-7 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Persona Profiles, Needs Summary, Scenario Notes | Acceptance Criteria, Story Update | Example Map, Acceptance Criteria, Open Questions |
Tagsno overlap | AgileDiscoveryDelivery | ResearchCustomerSynthesis | AgileRequirementsRefinementBehavior-Driven Development | Behavior-Driven DevelopmentRequirementsExamplesRefinement |