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| Criterion |  Innovation Design Thinking |  Decision Making Decision Tree |  Decision Making Decision Framing Workshop |  Decision Making Decision Matrix |
|---|---|---|---|---|
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 poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 30-90 min | 60-120 min | 45-90 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 | Decision Frame, Decision Question, Criteria List, Evidence Plan | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | InnovationPrototypeResearch | DecisionTreeOptions | Decision framingAlignmentCriteriaOptions | DecisionCriteriaScoringTradeoffs |