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Criterion
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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
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.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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
HighHighMediumLow
Timedifferent
2-6 h1-4 Wochen3–4 h for initial assessment; preparation and deeper analysis additional30-60 min
Participantsdifferent
3-101-61 or a small team; particularly suitable for 3–4 people2-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop
Outputdifferent
FMEA Table, Risk Priority, Mitigation ActionsExperiment results, Decision log, Learning summaryLean 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
RiskQualityOperationsRoot cause
ExperimentsGrowthAnalyticsValidation
ArchitectureQualityRiskAssessmentLean
Root causeQualityOperations
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