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| Criterion |  Innovation Design Thinking |  Decision Making Decision Rights Mapping |  Decision Making Constraint Analysis |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | In organizations with many stakeholders, it often blurs who actually decides and who is merely consulted. It separates options, evaluation criteria, and open risks. The result is captured as a Decision Rights matrix and an agreement. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 90-180 min | 30-90 min | 30-90 min |
Participantsdifferent | 4-10 | 4-12 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Decision Rights Matrix, Agreement | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | InnovationPrototypeResearch | DecisionGovernanceAlignmentResponsibility | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |