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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.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
MediumLowLowLow
Timedifferent
3-14 Tage1 h bis mehrere Wochen45-90 min30-60 min
Participantsdifferent
50+1-82-81-5
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeAssumption List, Critical Assumptions, Learning PlanCompleted Experiment Canvas, Success Metric
Tagsno overlap
QuantitativeResearchValidation
Continuous improvementLeanExperiments
AssumptionsRiskDecisionDiscovery
ExperimentsValidationDiscoveryHypothesis
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