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| Criterion |  Innovation Design Thinking |  Decision Making Decision Tree |  Facilitation Decision Jam |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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. | When a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer. | 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. |
Complexitydifferent | High | Medium | Low | Low |
Timedifferent | 1 Tag bis mehrere Wochen | 30-90 min | 60-90 min | 30-90 min |
Participantsdifferent | 4-10 | 1-6 | 4-10 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Decision Tree, Option Map, Assumption List | Problem Cluster, Prioritized Challenge, Experiment | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | InnovationPrototypeResearch | DecisionTreeOptions | FacilitationDecisionProblem solvingWorkshop | ConstraintsDecisionPlanningOptions |