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Selected:Affinity DiagrammingLean UX CanvasHypothesis Prioritization CanvasOpportunity Solution Tree
| Criterion | ![]() UX Research Affinity Diagramming | ![]() UX Design Lean UX Canvas | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
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. | The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment. | 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 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45–90 min | 2-3 h | 60-90 min | 1-2 h Setup, laufend |
Participantsdifferent | 3-10 | 3-8 | 3-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Completed Lean UX Canvas, Hypothesis list, First experiment | Prioritization Canvas, Hypothesis Backlog | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | SynthesisQualitativeRoot cause | CanvasHypothesisOutcomesDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | DiscoveryOutcomesExperimentsOpportunity |



