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| Criterion |  Innovation Design Sprint |  Decision Making Trade-off Analysis |  Innovation Design Thinking |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 4-5 Tage | 45-120 min | 1 Tag bis mehrere Wochen | 30-90 min |
Participantsdifferent | 5-8 | 2-8 | 4-10 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Prototype, Test Findings, Decision Rationale | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Problem Statement, Prototype, Test Learnings | Decision Tree, Option Map, Assumption List |
Tagsno overlap | Design sprintPrototypeValidationInnovation | TradeoffsDecisionCriteriaOptions | InnovationPrototypeResearch | DecisionTreeOptions |