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| Criterion |  Decision Making Pareto Analysis |  Domain Modeling EventStorming |  Knowledge Modeling Event Modeling |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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 | Medium | Medium | High |
Timedifferent | 30-60 min | 2-8 h | 2-6 h | 2-6 h |
Participantsdifferent | 1-6 | 5-12 | 2-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Pareto Chart, Top Causes, Focus List | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | PrioritizationQualityFocusRoot cause | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior | RiskQualityOperationsRoot cause |