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| Criterion | ![]() Innovation Double Diamond | ![]() Decision Making Decision Tree | ![]() Decision Making Decision Matrix | ![]() Decision Making Decision Framing Workshop |
|---|---|---|---|---|
Purposedifferent | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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 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 a decision is poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Wochen bis Monate | 30-90 min | 45-90 min | 60-120 min |
Participantsdifferent | 3-12 | 1-6 | 2-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Decision Tree, Option Map, Assumption List | Decision Matrix, Scoring Rationale, Selected Option | Decision Frame, Decision Question, Criteria List, Evidence Plan |
Tagsno overlap | ProcessDivergenceInnovation | DecisionTreeOptions | DecisionCriteriaScoringTradeoffs | Decision framingAlignmentCriteriaOptions |



