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| Criterion |  Systems Thinking Evaporating Cloud |  Knowledge Modeling Shape-First Modeling |  Product Discovery Concierge MVP |
|---|---|---|---|
Purposedifferent | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 60-120 min | Halber Tag pro Domain Slice | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-4 | 3-10 Kunden |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | Theory of ConstraintsAssumptionsSystems thinking | Knowledge graphValidationSemantic | MVPValidationServiceDiscovery |
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