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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 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 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 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
MediumHighLowMedium
Timedifferent
1-3 h Setup, laufend1-4 Wochen1-2 h1-5 Tage
Participantsdifferent
11-62-8Nutzertraffic
Formatdifferent
AsyncAsyncWorkshopAsync
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveExperiment results, Decision log, Learning summaryDomain Story, Glossary Notes, Process NarrativeClick Data, Interest Signal, Learning Decision
Tagsno overlap
KnowledgeProductivityOrganization
ExperimentsGrowthAnalyticsValidation
KnowledgeDomain-Driven DesignProcess
ValidationExperimentsDemandDiscovery
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