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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
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 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.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumHighLowMedium
Timedifferent
1-3 h Setup, laufend1-4 Wochen1-2 h45-60 min
Participantsdifferent
11-62-82-8
Formatdifferent
AsyncAsyncWorkshopWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveExperiment results, Decision log, Learning summaryDomain Story, Glossary Notes, Process NarrativeAssumption map, Test backlog, Risk ranking
Tagsno overlap
KnowledgeProductivityOrganization
ExperimentsGrowthAnalyticsValidation
KnowledgeDomain-Driven DesignProcess
AssumptionsRiskExperimentsValidation
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