The Art of CTO Architecture Maturity Assessment evaluates an organization's architecture practices against industry standards across ten dimensions spanning business, application, data and technology architecture, plus scalability, reliability, security, observability, DevOps and architecture governance.
How mature are our architecture practices?
A maturity level per practice area and what the next level takes.
About 15 min · Assessment · Free
About this toolWhy it matters, common mistakes, FAQ
Are Your Architecture Practices Keeping Up With Your Headcount?
Practices that worked at fifteen engineers quietly stop working at fifty. The symptom is not a bad decision — it is the same decision being made differently by four teams, and nobody noticing for two quarters.
Maturity is judged by artefacts: do we have ADRs, do we have a review board. What matters is whether decisions are actually reached and stick, which is a question about how the organization behaves rather than what it produces.
Questions CTOs ask
- What is an architecture maturity model?
- An architecture maturity model evaluates how well an organization manages its software architecture, rating each practice area from ad-hoc to optimized. This assessment rates ten dimensions — business architecture, application architecture, data architecture, technology architecture, scalability and performance, reliability and resilience, security and compliance, observability and operations, DevOps and deployment, and architecture governance — each on a five-level scale with explicit criteria per level. Most organizations score between levels 2 and 3, and dimensions you leave unrated are excluded from the average rather than counted as zero.
- How do you improve architecture maturity?
- Start by assessing your current state across all dimensions to identify the weakest areas. Common high-impact improvements include instituting Architecture Decision Records (ADRs) for all significant decisions, establishing architecture review boards for cross-cutting changes, implementing fitness functions that automatically verify architectural constraints, and creating technology radar processes for evaluating new technologies. Focus on one dimension at a time — trying to improve everything simultaneously leads to shallow progress everywhere.
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