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| Criterion |  UX Research Empathy Mapping |  Domain Modeling EventStorming |  Operations Causal Factor Analysis |
|---|---|---|---|
Purposedifferent | When a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | 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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Low | Medium | High |
Timedifferent | 30–60 min | 2-8 h | 2-6 h |
Participantsdifferent | 4-8 | 5-12 | 3-10 |
Formatdifferent | Workshop | Workshop | Workshop + async |
Outputdifferent | Empathy Map, Assumptions List, Research Gaps | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | SynthesisQualitativeWorkshop | Domain-Driven DesignEventsDiscoveryWorkshop | CausalityIncidentRoot causeTimeline |
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