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| Criterion |  Decision Making Trade-off Analysis |  Innovation Design Sprint |  Decision Making Decision Tree |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 45-120 min | 4-5 Tage | 30-90 min | 30-90 min |
Participantsdifferent | 2-8 | 5-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Prototype, Test Findings, Decision Rationale | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | TradeoffsDecisionCriteriaOptions | Design sprintPrototypeValidationInnovation | DecisionTreeOptions | ConstraintsDecisionPlanningOptions |