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| Criterion |  Knowledge Modeling Domain Storytelling |  Operations Bottleneck Analysis |  Operations PDCA Cycle |  Product Strategy Counter Metrics |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | When a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 1-2 h | 1-3 h | 1 h bis mehrere Wochen | 30-60 min |
Participantsdifferent | 2-8 | 3-8 | 1-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Counter Metric List, Guardrail Definitions |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | FlowMeasurementConstraints | Continuous improvementLeanExperiments | MetricsMeasurementStrategyExperiments |