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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
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
When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes.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
LowLowMediumHigh
Timedifferent
45–90 min1-4 h3–4 h for initial assessment; preparation and deeper analysis additional2-6 h
Participantsdifferent
3-101-51 or a small team; particularly suitable for 3–4 people3-10
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Theme clusters, Insight statements, Opportunity areasContext Diagram, Container Diagram, Component DiagramLean 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
SynthesisQualitativeRoot cause
ArchitectureCommunicationVisualization
ArchitectureQualityRiskAssessmentLean
RiskQualityOperationsRoot cause
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