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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration for Change Analysis.
Operations
Change 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.When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning.For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.
Complexitydifferent
LowLowHighMedium
Timedifferent
45–90 min30–60 min per interviewPreparation, scenario analysis, and findings review; effort depends on scope45-120 min
Participantsdifferent
3-101 participant per interviewArchitecture experts and stakeholders for scenarios and weighting2-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasInterview Notes, Themes, Insight SummaryDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesChange Matrix, Cause Hypotheses, Validation Questions, Action List
Tagsno overlap
SynthesisQualitativeRoot cause
QualitativeResearchCustomerDiscovery
ArchitectureChangeAnalysisComparisonQuality
ChangeRoot causeTroubleshootingComparison
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