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| Criterion |  Product Discovery Dual-Track Agile |  UX Research User Interviews |  Product Discovery Opportunity Solution Tree |  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 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 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 per interview | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | 4-10 | 1 participant per interview | 2-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Interview Notes, Themes, Insight Summary | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Experiment Canvas, Success Metric |
Tags1 shared | AgileDiscoveryDelivery | QualitativeResearchCustomerDiscovery | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryHypothesis |