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| Criterion |  Operations Bottleneck Analysis |  Decision Making Constraint Analysis |  Agile NoEstimates |  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. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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 | laufend | 30-90 min |
Participantsdifferent | 3-8 | 2-8 | 2-12 | 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 | Throughput Data, Flow Forecast, Slicing Rules | Decision Tree, Option Map, Assumption List |
Tagsno overlap | FlowMeasurementConstraints | ConstraintsDecisionPlanningOptions | EstimationForecastingFlow | DecisionTreeOptions |