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| Criterion |  Product Discovery Concierge MVP |  Domain Modeling Context Map |  Product Discovery Learning Card |  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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | Low | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 25-40 min | 30-60 min |
Participantsdifferent | 3-10 Kunden | 2-8 | 1-5 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Context Map, Integration Patterns, Boundary Notes | Learning Card with evidence and next action | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | Domain-Driven DesignBoundariesStrategy | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryHypothesis |