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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
1-3 h Setup, laufend1-3 h1-4 Wochen45-60 min
Participantsdifferent
12-81-62-8
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveContext Map, Integration Patterns, Boundary NotesExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
KnowledgeProductivityOrganization
Domain-Driven DesignBoundariesStrategy
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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