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| Criterion | ![]() Innovation Double Diamond | ![]() Operations Gemba Walk | ![]() Decision Making Constraint Analysis | ![]() Decision Making Decision Tree |
|---|---|---|---|---|
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. | When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | Wochen bis Monate | 30-120 min | 30-90 min | 30-90 min |
Participantsdifferent | 3-12 | 2-6 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Observation Notes, Improvement Ideas | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ProcessDivergenceInnovation | LeanObservationProcessOperations | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |



