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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.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.
Complexitydifferent
MediumLowLowMedium
Timedifferent
3-14 Tage45–90 min30-60 min60-90 min
Participantsdifferent
50+3-101-53-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Survey Results, Charts, Segment InsightsTheme clusters, Insight statements, Opportunity areasCompleted Experiment Canvas, Success MetricPrioritization Canvas, Hypothesis Backlog
Tagsno overlap
QuantitativeResearchValidation
SynthesisQualitativeRoot cause
ExperimentsValidationDiscoveryHypothesis
ExperimentsPrioritizationDiscoveryHypothesis
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