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| Criterion |  Product Discovery Concierge MVP |  Product Discovery Problem Interview |  Business Strategy Value Chain Analysis |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 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. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-4 Wochen | 30-60 min je Interview | Half day | 30-60 min |
Participantsdifferent | 3-10 Kunden | 5-12 Interviews | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Problem Evidence, Risk Notes, Customer Segments | Value Chain Map, Lever List | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | DiscoveryInterviewsValidation | StrategyBusiness modelDiagnosisAnalysis | ExperimentsValidationDiscoveryHypothesis |