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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
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 an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
1-3 h Setup, laufend1 h bis mehrere Wochen3–4 h for initial assessment; preparation and deeper analysis additional2-6 h
Participantsdifferent
11-81 or a small team; particularly suitable for 3–4 people3-10
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchivePDCA Log, Experiment Plan, Learning Outcome, Standard ChangeLean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checksFMEA Table, Risk Priority, Mitigation Actions
Tagsno overlap
KnowledgeProductivityOrganization
Continuous improvementLeanExperiments
ArchitectureQualityRiskAssessmentLean
RiskQualityOperationsRoot cause
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