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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
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.The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks.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
MediumLowMediumHigh
Timedifferent
1-3 h Setup, laufend20-60 min1-2 h Setup, laufend1-4 Wochen
Participantsdifferent
112-81-6
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchivePlain-language Explanation, Knowledge Gaps, Study NotesAARRR funnel, Metric baseline, Experiment backlogExperiment results, Decision log, Learning summary
Tagsno overlap
KnowledgeProductivityOrganization
LearningKnowledgeUnderstanding
GrowthMetricsExperiments
ExperimentsGrowthAnalyticsValidation
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