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| Criterion |  Product Discovery Problem Interview |  Domain Modeling EventStorming |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | 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 a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 30-60 min je Interview | 2-8 h | 60-90 min |
Participantsdifferent | 5-12 Interviews | 5-12 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Prioritization Canvas, Hypothesis Backlog |
Tags1 shared | DiscoveryInterviewsValidation | Domain-Driven DesignEventsDiscoveryWorkshop | ExperimentsPrioritizationDiscoveryHypothesis |
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