View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Empathy Mapping |  Domain Modeling EventStorming |  UX Research User Interviews |
|---|---|---|---|---|
Purposedifferent | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | Mehrere Wochen | 30–60 min | 2-8 h | 30–60 min per interview |
Participantsdifferent | 2-6 researchers plus sample | 4-8 | 5-12 | 1 participant per interview |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Empathy Map, Assumptions List, Research Gaps | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Interview Notes, Themes, Insight Summary |
Tagsno overlap | OutcomesInnovationResearchQuantitative | SynthesisQualitativeWorkshop | Domain-Driven DesignEventsDiscoveryWorkshop | QualitativeResearchCustomerDiscovery |