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| Criterion |  Innovation Design Thinking |  Decision Making Decision Tree |  Product Discovery Experiment Canvas |
|---|---|---|---|
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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 1 Tag bis mehrere Wochen | 30-90 min | 30-60 min |
Participantsdifferent | 4-10 | 1-6 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Decision Tree, Option Map, Assumption List | Completed Experiment Canvas, Success Metric |
Tagsno overlap | InnovationPrototypeResearch | DecisionTreeOptions | ExperimentsValidationDiscoveryHypothesis |
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