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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Fault Tree Analysis.
Operations
Fault Tree Analysis
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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.For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage.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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
MediumHighLowMedium
Timedifferent
3-14 Tage2-6 h30-60 min1-5 Tage
Participantsdifferent
50+3-81-5Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Survey Results, Charts, Segment InsightsFault Tree, Critical Paths, Cause Hypotheses, Control ActionsCompleted Experiment Canvas, Success MetricClick Data, Interest Signal, Learning Decision
Tagsno overlap
QuantitativeResearchValidation
RiskRoot causeSafety
ExperimentsValidationDiscoveryHypothesis
ValidationExperimentsDemandDiscovery
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