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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Assumption Surfacing |  Decision Making Risk Matrix |  Product Discovery Concierge MVP |
|---|---|---|---|---|
Purposedifferent | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | Halber Tag pro Domain Slice | 45-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-4 | 2-8 | 3-10 | 3-10 Kunden |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Assumption List, Critical Assumptions, Learning Plan | Risk Matrix, Top Risk List | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | Knowledge graphValidationSemantic | AssumptionsRiskDecisionDiscovery | RiskDecisionPrioritizationAssessment | MVPValidationServiceDiscovery |