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| Criterion |  Product Strategy GIST Planning |  Decision Making Decision Tree |  Innovation Design Thinking |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Medium | Medium | High | Low |
Timedifferent | Wochen bis Monate je Goal | 30-90 min | 1 Tag bis mehrere Wochen | 30-90 min |
Participantsdifferent | 3-10 | 1-6 | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Goals, Idea bank, Step-project list, Tasks, Learning reports | Decision Tree, Option Map, Assumption List | Problem Statement, Prototype, Test Learnings | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | RoadmapOutcomesPlanningExperiments | DecisionTreeOptions | InnovationPrototypeResearch | ConstraintsDecisionPlanningOptions |