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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Delphi Method |  Delivery MoSCoW |
|---|---|---|---|
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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. |
Complexitydifferent | Medium | High | Low |
Timedifferent | Halber Tag pro Domain Slice | 1-4 Wochen | 30-90 min |
Participantsdifferent | 1-4 | 6-30 Experten | 3-12 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Expert Forecast, Consensus Range, Assumption Notes | Prioritized Backlog, Release Scope, Tradeoff Notes |
Tagsno overlap | Knowledge graphValidationSemantic | ForecastingExpertsDecisionStrategy | PrioritizationScopeDecision |
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