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| Criterion |  Operations Bottleneck Analysis |  Engineering Golden Path |  Decision Making Decision Tree |  Engineering Goal Question Metric |
|---|---|---|---|---|
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 teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate. | 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. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h | 1-3 Tage Setup, laufend | 30-90 min | 90-180 min |
Participantsdifferent | 3-8 | 2-8 | 1-6 | 3-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Golden Path Guide, Templates, Quality Checks | Decision Tree, Option Map, Assumption List | GQM Table, Metric Profiles |
Tagsno overlap | FlowMeasurementConstraints | EngineeringProductivityGovernance | DecisionTreeOptions | MetricsMeasurementEngineeringAlignment |