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| Criterion |  Decision Making Delphi Method |  Knowledge Modeling Shape-First Modeling |  Delivery MoSCoW |  Decision Making Force Field Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. |
Complexitydifferent | High | Medium | Low | Low |
Timedifferent | 1-4 Wochen | Halber Tag pro Domain Slice | 30-90 min | 45-90 min |
Participantsdifferent | 6-30 Experten | 1-4 | 3-12 | 3-12 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Prioritized Backlog, Release Scope, Tradeoff Notes | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | ForecastingExpertsDecisionStrategy | Knowledge graphValidationSemantic | PrioritizationScopeDecision | ChangeDecisionStrategy |