View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  UX Research Affinity Diagramming |  Product Discovery Hypothesis Prioritization Canvas |  Domain Modeling EventStorming |  Knowledge Modeling Event Modeling |
|---|---|---|---|---|
Purposedifferent | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45–90 min | 60-90 min | 2-8 h | 2-6 h |
Participantsdifferent | 3-10 | 3-8 | 5-12 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Prioritization Canvas, Hypothesis Backlog | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsPrioritizationDiscoveryHypothesis | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior |