Use cases
Explore how Engineering Intelligence helps your team measure, understand, and improve engineering effectiveness across different areas.
DORA metrics
Measure and improve the four DORA metrics; Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery.
Learn morearrow_forwardDelivery performance
Measure and improve how efficiently your team moves work from idea to production — across PR throughput, review cycles, and deployment pipelines.
Learn morearrow_forwardStandards and scorecards
Define, track, and enforce engineering standards across your services — from production readiness and code quality to security compliance and working agreements.
Learn morearrow_forwardReliability visibility
Track CI/CD pipeline health, failure trends, and service stability metrics to identify systemic reliability issues before they impact developer productivity.
Learn morearrow_forwardAI adoption and impact
Measure AI tool adoption across your engineering organization, track ROI, and deploy AI agents that automate workflows and reduce manual overhead.
Learn morearrow_forwardDevEx surveys
Use developer surveys to surface qualitative insights, identify pain points, and turn developer feedback into measurable improvement initiatives.
Learn morearrow_forwardConversational insights
Query your context lake through Port's MCP integration and MCP connectors to generate reports, dashboards, and actionable insights — powered by AI tools like Claude, Cursor, and Lovable.
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