Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Selected:Affinity Diagramming Hypothesis Prioritization Canvas Opportunity Solution Tree Experiment Canvas

Criterion	UX Research Affinity Diagramming	Product Discovery Hypothesis Prioritization Canvas	Product Discovery Opportunity Solution Tree	Product Discovery Experiment 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.	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	Low	Medium	Medium	Low
Timedifferent	45–90 min	60-90 min	1-2 h Setup, laufend	30-60 min
Participantsdifferent	3-10	3-8	2-6	1-5
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 Experiment Canvas, Success Metric
Tagsno overlap	SynthesisQualitativeRoot cause	ExperimentsPrioritizationDiscoveryHypothesis	DiscoveryOutcomesExperimentsOpportunity	ExperimentsValidationDiscoveryHypothesis

Add more methods