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| Criterion |  Product Discovery Opportunity Solution Tree |  UX Research Empathy Mapping |  UX Research Affinity Diagramming |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 1-2 h Setup, laufend | 30–60 min | 45–90 min | 30-60 min |
Participantsdifferent | 2-6 | 4-8 | 3-10 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Empathy Map, Assumptions List, Research Gaps | Theme clusters, Insight statements, Opportunity areas | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | SynthesisQualitativeWorkshop | SynthesisQualitativeRoot cause | ExperimentsValidationDiscoveryHypothesis |