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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 h Setup, laufend1-2 Wochen pro IterationWochen bis Monate je Lernzyklus30-60 min
Participantsdifferent
12-62-81-5
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchivePrioritized Assumption List, Test Plan, Results ReportHypothesis list, MVPs, Learning reports, Pivot or persevere decisionCompleted Experiment Canvas, Success Metric
Tagsno overlap
KnowledgeProductivityOrganization
ExperimentsValidationDiscoveryAssumptions
LeanStartupValidationMVP
ExperimentsValidationDiscoveryHypothesis
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