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| Criterion |  Engineering Golden Path |  Product Discovery Problem Interview |  Innovation Design Sprint |  Product Discovery Concierge MVP |
|---|---|---|---|---|
Purposedifferent | When teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate. | 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 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 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 | Medium | Medium | High | Medium |
Timedifferent | 1-3 Tage Setup, laufend | 30-60 min je Interview | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 5-12 Interviews | 5-8 | 3-10 Kunden |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Golden Path Guide, Templates, Quality Checks | Problem Evidence, Risk Notes, Customer Segments | Prototype, Test Findings, Decision Rationale | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | EngineeringProductivityGovernance | DiscoveryInterviewsValidation | Design sprintPrototypeValidationInnovation | MVPValidationServiceDiscovery |