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| Criterion |  Product Discovery Concierge MVP |  Product Discovery Outcome-Driven Innovation |  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. | 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 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 | High | High | High |
Timedifferent | 1-4 Wochen | Mehrere Wochen | 4-5 Tage | 2-10 Tage |
Participantsdifferent | 3-10 Kunden | 2-6 researchers plus sample | 5-8 | 5-20 Nutzer |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | Prototype Learnings, Manual Effort Notes, Risk List |
Tagsno overlap | MVPValidationServiceDiscovery | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | PrototypeValidationMVP |