Engineering Tools
Architecture Scorecard
Score your software architecture across maintainability, scalability, reliability, and delivery risk.
Architecture score
65/100
Assessment
Needs Attention
Base weighted score
65/100
Gap to target
17
Maintainability
64
Scalability
66
Reliability
72
Delivery
48
Security
76
Recommendation
Create a focused remediation plan before scaling major scope.
Top Findings
- -Deployment throughput is a major architecture risk driver (21/100).
- -Test coverage is a major architecture risk driver (58/100).
- -Secrets management is a major architecture risk driver (60/100).
- -Onboarding efficiency is a major architecture risk driver (60/100).
About
How it helps
This architecture scorecard provides a structured health check across five weighted dimensions: maintainability, scalability, reliability, delivery, and security.
Maintainability metrics: Modularity measures separation of concerns and coupling quality; Test coverage reflects verification depth; Duplicate code indicates maintainability drag from copy-paste logic; Documentation quality reflects how well architecture intent is captured; Onboarding time estimates how quickly a new engineer becomes productive.
Scalability and reliability metrics: Capacity headroom measures spare throughput before saturation; DB scalability captures data-layer elasticity; Cache hit rate reflects read efficiency; p95 latency captures tail performance under real load; Monthly incidents indicates operational instability; MTTR (mean time to recovery) measures outage recovery speed; Availability reflects uptime performance; Rollback readiness measures how safely and quickly changes can be reverted.
Delivery and security metrics: Deploys per week reflects release throughput; Lead time measures time from change to production; Change failure rate captures deployment quality risk; Bus factor estimates key-person concentration risk; Critical vulnerabilities and High vulnerabilities measure exposed security debt; Secrets management reflects credential and key handling maturity; Access control maturity measures identity, privilege, and authorization discipline.
Advanced metrics: Technical debt backlog captures unresolved architecture work; Legacy dependencies signal outdated or constrained components; Observability coverage measures logging/metrics/tracing depth; Automation coverage reflects CI/CD and operational automation maturity; Compliance gaps measure control shortfalls against required standards; Knowledge concentration captures how much system understanding is concentrated in a few people; Roadmap volatility reflects planning instability; Platform standardization measures consistency of stack and runtime patterns; Target score sets your desired architecture maturity threshold for gap analysis.
Use the score as a decision support input, not an absolute truth. Strong architecture still requires disciplined execution, and weaker scores should drive prioritized remediation with measurable milestones.
FAQ
Frequently Asked Questions
+What is an Architecture Score?
An Architecture Score estimates overall software platform health across maintainability, scalability, reliability, delivery capability, and security. It combines multiple indicators into a weighted assessment. Example: a score of 65/100 indicates Needs Attention.
+How is the architecture score calculated?
The score combines weighted categories: Maintainability, Scalability, Reliability, Delivery, and Security. Each category contributes to the overall result based on measurable engineering indicators.
+What is considered a good architecture score?
Typical interpretation is: 90-100 Excellent, 75-89 Healthy, 60-74 Needs Attention, 40-59 Elevated Risk, below 40 Significant Risk. Scores are directional indicators, not precise predictions.
+Why does test coverage affect architecture quality?
Low test coverage often increases regression risk, deployment friction, maintenance effort, and delivery uncertainty. Higher coverage usually improves confidence when making changes.
+What is change failure rate?
Change failure rate measures how often deployments introduce issues requiring fixes or rollback. Formula: Failed Deployments / Total Deployments. Lower percentages generally indicate healthier delivery practices.
+Why does bus factor matter?
Bus factor measures dependency on specific individuals. Example: a bus factor of 2 means only two people hold critical knowledge. Low bus factor increases operational risk.
+Why is onboarding time important?
Long onboarding time may indicate weak documentation, complex systems, hidden dependencies, or architectural complexity. Shorter onboarding usually suggests healthier knowledge transfer.
+Why does MTTR matter?
MTTR means Mean Time To Recovery. It estimates how quickly systems recover after incidents. Example: an MTTR of 6 hours. Lower recovery times generally improve reliability.
+Why do duplicate code and documentation quality matter?
Duplicate code often increases maintenance burden and creates inconsistent behavior. Documentation quality affects onboarding, delivery speed, operational resilience, and team scalability.
+Does this replace a real architecture review?
No. A scorecard provides an initial assessment only. Real architecture reviews also examine code structure, infrastructure, operational practices, team dynamics, dependency mapping, and business constraints.
+What related calculators should I use with this one?
Useful follow-ups are Technical Due Diligence Risk Score Calculator, AI ROI Calculator, ROI Calculator, Break-Even Calculator, and Contractor Rate Calculator.
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