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| Criterion | ![]() Knowledge Modeling Shape-First Modeling | ![]() Product Strategy DIBB | ![]() Decision Making Force Field Analysis |
|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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 | Medium | Low | Low |
Timedifferent | Halber Tag pro Domain Slice | 1-2 h | 45-90 min |
Participantsdifferent | 1-4 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | DIBB document, Belief list, Bet list, Learning report | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | Knowledge graphValidationSemantic | StrategyDecisionAssumptionsHypothesis | ChangeDecisionStrategy |
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