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Delivery Metrics course
Designed for engineering leaders. Learn to use CodeScene’s Delivery view to track speed, waste, and risk. Link delivery performance directly to the technical and process factors shaping your team’s success.
By the end of this course, you'll:
- Explain the value of Delivery metrics as outcome-based KPIs.
- Configure Delivery analysis with project management data.
- Interpret speed, waste, and risk indicators.
- Use Delivery data to support retrospectives, coaching, and improvement work.
Share your technical debt expertise
Earn a certificate upon completion, showcasing your technical debt expertise. Share it on LinkedIn to boost your professional profile and attract new opportunities.
Overview of the course
Here’s what you’ll learn in this course.
- Understand how high-level delivery reflects the underlying engineering reality..
- Connect code quality directly to cycle time, predictability, and team output.
- Master the essential delivery metrics to establish a reliable baseline for performance.
- Link project management systems (e.g., Jira) to commit history and pull requests.
- Map individual tasks straight to code changes for complete end-to-end visibility.
- Define custom analysis scopes and isolate unplanned work to expose hidden overhead.
- Interpret performance graphs to distinguish healthy signals from declining trends.
- Identify delivery bottlenecks, process delays, and risky Work-in-Progress early.
- Pinpoint exactly where engineering effort gets lost before it impacts timelines.
- Bring hard delivery metrics into retrospectives for objective, blameless reviews.
- Use delivery trends to guide 1-on-1s and support team growth.
- Translate technical insights into strategic process improvements.
Explore More Insights
Dive deeper into practical guides, step-by-step tutorials, and expert resources to enhance your learning and maximize the impact of your new skills.
Tutorials
See tutorials and talks on refactoring, technical debt, AI, and code quality, plus insights on how to build healthier, more efficient codebases
Research & whitepapers
Learn how CodeScene contributes to the academic and industrial software community through cutting-edge research, collaborations, and publications.
Blog
From managing technical debt and improving code quality to enabling safe, scalable AI adoption and measuring coverage where it matters, explore insights on the CodeScene blog.
Ready to start?
Optimize your team's delivery performance. Enroll now and turn engineering data into impact.
