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| Criterion |  Decision Making Decision Tree |  Decision Making Trade-off Analysis |  Innovation Design Sprint |
|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 30-90 min | 45-120 min | 4-5 Tage |
Participantsdifferent | 1-6 | 2-8 | 5-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | DecisionTreeOptions | TradeoffsDecisionCriteriaOptions | Design sprintPrototypeValidationInnovation |
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