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| Criterion |  Product Discovery Concierge MVP |  Domain Modeling EventStorming |  Innovation Lean Startup |  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 a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Medium | Low |
Timedifferent | 1-4 Wochen | 2-8 h | Wochen bis Monate je Lernzyklus | 30-60 min |
Participantsdifferent | 3-10 Kunden | 5-12 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | Domain-Driven DesignEventsDiscoveryWorkshop | LeanStartupValidationMVP | ExperimentsValidationDiscoveryHypothesis |