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| Criterion |  Operations Bottleneck Analysis |  Decision Making Constraint Analysis |  UX Research HEART Framework |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | 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 | Medium | Medium |
Timedifferent | 1-3 h | 30-90 min | 120 min initial, dann laufend | 30-90 min |
Participantsdifferent | 3-8 | 2-8 | 3-6 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | HEART-GSM Table, Dashboard | Decision Tree, Option Map, Assumption List |
Tagsno overlap | FlowMeasurementConstraints | ConstraintsDecisionPlanningOptions | MetricsUX researchMeasurementSatisfaction | DecisionTreeOptions |