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Selected:Affinity DiagrammingHypothesis Prioritization CanvasOpportunity Solution TreeLean UX Canvas
| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Product Discovery Opportunity Solution Tree | ![]() UX Design Lean UX Canvas |
|---|---|---|---|---|
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 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45–90 min | 60-90 min | 1-2 h Setup, laufend | 2-3 h |
Participantsdifferent | 3-10 | 3-8 | 2-6 | 3-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Prioritization Canvas, Hypothesis Backlog | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Lean UX Canvas, Hypothesis list, First experiment |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsPrioritizationDiscoveryHypothesis | DiscoveryOutcomesExperimentsOpportunity | CanvasHypothesisOutcomesDiscovery |



