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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Risk Storming.
Architecture
Risk Storming
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment 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.Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog.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
MediumLowLow
Timedifferent
3-14 Tage60-90 min30-60 min
Participantsdifferent
50+4-121-5
Formatdifferent
AsyncWorkshopWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsAnnotated Diagram, Prioritized Risk List, Action BacklogCompleted Experiment Canvas, Success Metric
Tags1 shared
QuantitativeResearchValidation
RiskArchitectureWorkshopValidation
ExperimentsValidationDiscoveryHypothesis
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas