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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Surveys method illustration showing its working structure
UX Research
Surveys
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work.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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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
MediumMediumHighMedium
Timedifferent
1-3 h Setup, laufend3-14 Tage1-4 Wochen1-5 Tage
Participantsdifferent
150+1-6Nutzertraffic
Formatsame
AsyncAsyncAsyncAsync
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveSurvey Results, Charts, Segment InsightsExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tagsno overlap
KnowledgeProductivityOrganization
QuantitativeResearchValidation
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
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