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| Criterion |  Decision Making Constraint Analysis |  Innovation Design Thinking |  Product Strategy GIST Planning |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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 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. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. | 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 | Low | High | Medium | Medium |
Timedifferent | 30-90 min | 1 Tag bis mehrere Wochen | Wochen bis Monate je Goal | 30-90 min |
Participantsdifferent | 2-8 | 4-10 | 3-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Problem Statement, Prototype, Test Learnings | Goals, Idea bank, Step-project list, Tasks, Learning reports | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ConstraintsDecisionPlanningOptions | InnovationPrototypeResearch | RoadmapOutcomesPlanningExperiments | DecisionTreeOptions |