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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption 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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-3 h Setup, laufend30-90 min25-40 min1-2 Wochen pro Iteration
Participantsdifferent
11-61-52-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveDecision Tree, Option Map, Assumption ListLearning Card with evidence and next actionPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
KnowledgeProductivityOrganization
DecisionTreeOptions
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryAssumptions
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