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Criterion
Paper illustration for Standard Work Analysis.
Operations
Standard Work Analysis
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
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
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.An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.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
MediumLowMediumMedium
Timedifferent
1-3 h15-45 min1-3 h3–4 h for initial assessment; preparation and deeper analysis additional
Participantsdifferent
2-61-32-81 or a small team; particularly suitable for 3–4 people
Formatdifferent
WorkshopAsyncWorkshopWorkshop + async
Outputdifferent
Standard Work Sheet, Deviation List, Improved Standard, Training NeedsADR File, Decision Log, RationaleCause Tree, Evidence Notes, CountermeasuresLean 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
LeanProcessQuality
ArchitectureRationaleDocumentationGovernance
Root causeTreeIncidentQuality
ArchitectureQualityRiskAssessmentLean
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