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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making OODA Loop |  Decision Making Force Field Analysis |  Product Discovery Learning Card |
|---|---|---|---|---|
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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | Halber Tag pro Domain Slice | 15-60 min je Zyklus | 45-90 min | 25-40 min |
Participantsdifferent | 1-4 | 1-8 | 3-12 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Situation Assessment, Decision Loop, Action Updates | Force Field Map, Change Levers, Risk Notes | Learning Card with evidence and next action |
Tagsno overlap | Knowledge graphValidationSemantic | DecisionChangeLearningStrategy | ChangeDecisionStrategy | ExperimentsValidationDiscoveryLearning |