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| Criterion |  Knowledge Modeling Domain Storytelling |  Decision Making Pareto Analysis |  Decision Making Eisenhower Matrix |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Low | Low | Low | High |
Timedifferent | 1-2 h | 30-60 min | 15-30 min | 2-6 h |
Participantsdifferent | 2-8 | 1-6 | 1-6 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Pareto Chart, Top Causes, Focus List | Eisenhower Matrix, Action List, Delegation Notes | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | PrioritizationQualityFocusRoot cause | PrioritizationFocusTasks | RiskQualityOperationsRoot cause |