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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
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.Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected.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
MediumLowHighMedium
Timedifferent
1-3 h Setup, laufend1-2 h1-4 Wochen45-60 min
Participantsdifferent
12-81-62-8
Formatdifferent
AsyncWorkshopAsyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveDomain Story, Glossary Notes, Process NarrativeExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
KnowledgeProductivityOrganization
KnowledgeDomain-Driven DesignProcess
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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