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Criterion
Paper illustration for Learning Review.
Operations
Learning Review
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)
Paper fishbone diagram with a measurable effect at the head and six labeled cause branches.
Operations
Fishbone Diagram
Purposedifferent
After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights.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.When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 h1-3 h3–4 h for initial assessment; preparation and deeper analysis additional30-60 min
Participantsdifferent
3-102-81 or a small team; particularly suitable for 3–4 people2-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Learning Review Notes, System Factors, Improvement ActionsCause 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 checksFishbone Diagram, Cause Categories, Investigation Backlog
Tagsno overlap
LearningRetrospectiveIncidentOperations
Root causeTreeIncidentQuality
ArchitectureQualityRiskAssessmentLean
Root causeQualityOperations
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