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| Criterion |  Decision Making Decision Matrix |  Decision Making Decision Tree |  Innovation Design Sprint |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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 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. | 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 | Medium | High | Low |
Timedifferent | 45-90 min | 30-90 min | 4-5 Tage | 30-90 min |
Participantsdifferent | 2-8 | 1-6 | 5-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Decision Tree, Option Map, Assumption List | Prototype, Test Findings, Decision Rationale | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | DecisionTreeOptions | Design sprintPrototypeValidationInnovation | ConstraintsDecisionPlanningOptions |