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Criterion
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel 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)
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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 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.
Complexitydifferent
LowMediumMediumHigh
Timedifferent
1-4 h1-3 h3–4 h for initial assessment; preparation and deeper analysis additional1-4 Wochen
Participantsdifferent
1-51-51 or a small team; particularly suitable for 3–4 people1-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Context Diagram, Container Diagram, Component DiagramFunnel report, Drop-off analysis, Optimization hypothesesLean 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 checksExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureCommunicationVisualization
AnalyticsConversionGrowth
ArchitectureQualityRiskAssessmentLean
ExperimentsGrowthAnalyticsValidation
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