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| Criterion |  Product Discovery Concierge MVP |  Product Discovery MVP Test Matrix |  Decision Making Constraint Analysis |
|---|---|---|---|
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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 45-75 min | 30-90 min |
Participantsdifferent | 3-10 Kunden | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Test Matrix, Test Plan | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | MVPValidationServiceDiscovery | ExperimentsValidationDiscoveryOptions | ConstraintsDecisionPlanningOptions |
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