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| Criterion |  Operations Bottleneck Analysis |  Knowledge Modeling Domain Storytelling |  Engineering Goal Question Metric |  Growth North Star 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. | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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. | When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-3 h | 1-2 h | 90-180 min | 1-2 h |
Participantsdifferent | 3-8 | 2-8 | 3-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Domain Story, Glossary Notes, Process Narrative | GQM Table, Metric Profiles | North Star metric, Input metric tree, Measurement cadence |
Tagsno overlap | FlowMeasurementConstraints | KnowledgeDomain-Driven DesignProcess | MetricsMeasurementEngineeringAlignment | GrowthMetricsAlignmentRetention |