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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Standard Work Analysis.
Operations
Standard Work Analysis
Paper illustration for DMAIC.
Operations
DMAIC
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)
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 the same task is done differently depending on the person, the method exposes the reliable core. It creates comparability without unnecessarily choking off needed latitude.For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together.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.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
1-3 h Setup, laufend1-3 h2-12 Wochen3–4 h for initial assessment; preparation and deeper analysis additional
Participantsdifferent
12-63-101 or a small team; particularly suitable for 3–4 people
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveStandard Work Sheet, Deviation List, Improved Standard, Training NeedsProject Charter, Measurement Plan, Cause Analysis, Control PlanLean 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 checks
Tagsno overlap
KnowledgeProductivityOrganization
LeanProcessQuality
Continuous improvementQualityProcess improvement
ArchitectureQualityRiskAssessmentLean
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