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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Jobs to Be Done |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Opportunity Scoring |
|---|---|---|---|---|
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 switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | 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 opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45–90 min | 1-3 Wochen | 60-90 min | 60-120 min |
Participantsdifferent | 3-10 | 5-12 Interviews | 3-8 | 3-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Job Stories, Outcome Statements, Opportunity List | Prioritization Canvas, Hypothesis Backlog | Opportunity Score Table, Top Outcomes |
Tagsno overlap | SynthesisQualitativeRoot cause | CustomerOutcomesNeeds | ExperimentsPrioritizationDiscoveryHypothesis | PrioritizationDiscoveryOutcomesNeeds |