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| Criterion |  Decision Making Decision Matrix |  Innovation Design Sprint |  Decision Making Decision Tree |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | 45-90 min | 4-5 Tage | 30-90 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-8 | 5-8 | 1-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Prototype, Test Findings, Decision Rationale | Decision Tree, Option Map, Assumption List | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | Design sprintPrototypeValidationInnovation | DecisionTreeOptions | InnovationPrototypeResearch |