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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
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 systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable.For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-3 h Setup, laufend30-240 min15-30 min45-90 min
Participantsdifferent
11-62-62-5
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveHypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryRoot cause notes, CountermeasuresA3 Report, Action Plan, Root Cause Analysis
Tagsno overlap
KnowledgeProductivityOrganization
TroubleshootingProblem solvingDiagnosis
Root causeIncidentLeanProblem solving
LeanProblem solvingCoachingOperations
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