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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  UX Research Empathy Mapping |  UX Research Affinity Diagramming |  Domain Modeling EventStorming |
|---|---|---|---|---|
Purposedifferent | 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 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 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 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 60-90 min | 30–60 min | 45–90 min | 2-8 h |
Participantsdifferent | 3-8 | 4-8 | 3-10 | 5-12 |
Formatsame | Workshop | Workshop | Workshop | Workshop |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Empathy Map, Assumptions List, Research Gaps | Theme clusters, Insight statements, Opportunity areas | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | SynthesisQualitativeWorkshop | SynthesisQualitativeRoot cause | Domain-Driven DesignEventsDiscoveryWorkshop |