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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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, laufend20–45 min45-60 min1-4 Wochen
Participantsdifferent
1Small cross-functional group2-81-6
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveRisk list, Mitigation plan, Assumption logAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
KnowledgeProductivityOrganization
RiskDecisionFailurePlanning
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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