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| Criterion |  Product Discovery Wizard of Oz Test |  Product Discovery Outcome-Driven Innovation |  Product Discovery Solution Interview |  Product Discovery Concierge MVP |
|---|---|---|---|---|
Purposedifferent | 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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 2-10 Tage | Mehrere Wochen | 30-60 min je Interview | 1-4 Wochen |
Participantsdifferent | 5-20 Nutzer | 2-6 researchers plus sample | 5-10 Interviews | 3-10 Kunden |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Prototype Learnings, Manual Effort Notes, Risk List | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Solution Feedback, Objection List, Validation Notes | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | PrototypeValidationMVP | OutcomesInnovationResearchQuantitative | ValidationInterviewsPrototype | MVPValidationServiceDiscovery |