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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
1-3 h Setup, laufend1-3 h1-5 Tage1-4 Wochen
Participantsdifferent
12-8Nutzertraffic1-6
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveContext Map, Integration Patterns, Boundary NotesInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
KnowledgeProductivityOrganization
Domain-Driven DesignBoundariesStrategy
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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