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| Criterion |  Systems Thinking Leverage Points |  Knowledge Modeling Shape-First Modeling |  Decision Making Force Field Analysis |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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 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. | 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. |
Complexitydifferent | High | Medium | Low | Low |
Timedifferent | Half day | Halber Tag pro Domain Slice | 45-90 min | 1-2 h |
Participantsdifferent | 3-12 | 1-4 | 3-12 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Force Field Map, Change Levers, Risk Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Systems thinkingChangeStrategy | Knowledge graphValidationSemantic | ChangeDecisionStrategy | StrategyDecisionAssumptionsHypothesis |