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| Criterion |  UX Research User Interviews |  Product Discovery Opportunity Solution Tree |  Agile Specification by Example |  Product Discovery Dual-Track Agile |
|---|---|---|---|---|
Purposedifferent | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 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 | Low | Medium | Medium | Medium |
Timedifferent | 30–60 min per interview | 1-2 h Setup, laufend | 60-90 min pro Feature | Laufend, Wochen bis Monate |
Participantsdifferent | 1 participant per interview | 2-6 | 3-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Opportunity Solution Tree, Experiment Backlog, Learning Log | Example Table, Acceptance Tests | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories |
Tagsno overlap | QualitativeResearchCustomerDiscovery | DiscoveryOutcomesExperimentsOpportunity | AgileRequirementsExamplesBehavior-Driven Development | AgileDiscoveryDelivery |