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| Criterion |  Product Discovery Solution Interview |  Product Discovery Concierge MVP |  Knowledge Modeling Event Modeling |  Product Discovery Wizard of Oz Test |
|---|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | When a new experience would still be too expensive to automate for real, it simulates the outcome behind the scenes. It checks user reaction and value before the technology disappears. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 30-60 min je Interview | 1-4 Wochen | 2-6 h | 2-10 Tage |
Participantsdifferent | 5-10 Interviews | 3-10 Kunden | 2-8 | 5-20 Nutzer |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Concierge Learnings, Service Blueprint, MVP Risks | Event Model, UI Flow, Commands, Read Models | Prototype Learnings, Manual Effort Notes, Risk List |
Tagsno overlap | ValidationInterviewsPrototype | MVPValidationServiceDiscovery | EventsBlueprintDomain-Driven DesignBehavior | PrototypeValidationMVP |