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| Criterion |  Product Discovery Concierge MVP |  Product Discovery Solution Interview |  Innovation Design Sprint |  Product Discovery Wizard of Oz Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | High | High |
Timedifferent | 1-4 Wochen | 30-60 min je Interview | 4-5 Tage | 2-10 Tage |
Participantsdifferent | 3-10 Kunden | 5-10 Interviews | 5-8 | 5-20 Nutzer |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Solution Feedback, Objection List, Validation Notes | Prototype, Test Findings, Decision Rationale | Prototype Learnings, Manual Effort Notes, Risk List |
Tags1 shared | MVPValidationServiceDiscovery | ValidationInterviewsPrototype | Design sprintPrototypeValidationInnovation | PrototypeValidationMVP |