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| Criterion |  Product Discovery Concierge MVP |  Domain Modeling EventStorming |  Operations Root Cause Tree 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 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 a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 2-8 h | 1-3 h |
Participantsdifferent | 3-10 Kunden | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | MVPValidationServiceDiscovery | Domain-Driven DesignEventsDiscoveryWorkshop | Root causeTreeIncidentQuality |
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