Improving delivery by measuring lead time for changes
If a development team wants to stay competitive, innovative features and seamless user experiences require efficient delivery pipelines. Lead Time for Changes (LTFC) is one of the four DORA metrics that measures how quickly code moves from commit to production. Understanding and optimizing LTFC is essential for teams that want to deliver value faster and more reliably.
Understanding LTFC
Lead Time for Changes measures the elapsed time from when a developer commits code to when that code is successfully running in production. It captures the efficiency of your entire delivery pipeline—code review, automated testing, staging, approval processes, and deployment.
LTFC is different from cycle time, which typically measures the time from PR creation to merge. LTFC extends beyond merge to include the deployment process, giving you a complete picture of how long it takes to get changes to users.
According to DORA research, elite-performing teams achieve lead times of less than one hour, while low performers can take more than six months.
Importance and Benefits of Measuring and Optimizing LTFC
Insight into Development and Delivery Speed
LTFC provides a clear, objective measure of how fast your team can deliver changes. This visibility helps you understand your current capabilities and set realistic improvement targets.
Identification of Inefficiencies and Issues
By measuring LTFC, you can identify where delays occur in your pipeline. Is code sitting in review for days? Is the CI/CD pipeline slow? Are there manual approval gates that create bottlenecks? LTFC data points you to the specific areas that need attention.
Continuous Improvement and Shorter Feedback Cycles
Shorter lead times create tighter feedback loops. When changes reach production quickly, you get faster feedback from users, which helps you iterate and improve more rapidly. This creates a virtuous cycle of continuous improvement.
Enhanced Deployment Speed and Quality
Teams that optimize LTFC typically deploy smaller, more frequent changes. Smaller changes are easier to test, easier to review, and easier to roll back if something goes wrong. This leads to both faster delivery and higher quality.
Improved Team Well-Being and Productivity
Long lead times are frustrating for developers. Waiting days or weeks for code to reach production is demoralizing and creates a disconnect between effort and impact. Shorter lead times keep developers engaged and motivated by providing faster gratification for their work.
How Do You Measure LTFC?
Measuring LTFC requires tracking two timestamps: when code is committed and when it reaches production. This typically involves integrating data from your version control system (e.g., GitHub) and your deployment pipeline.
Key steps:
- Define your measurement points: Decide exactly what "committed" and "in production" mean for your team.
- Automate data collection: Use tools that automatically capture commit and deployment timestamps.
- Track trends over time: Look at weekly or monthly trends rather than individual data points.
- Break down by phase: Understand how much time is spent in review, testing, staging, and deployment.
- Set improvement targets: Use DORA benchmarks as reference points and set incremental goals.
Simplified Measuring LTFC with DevStats
DevStats simplifies LTFC measurement by automatically connecting to your development tools and tracking the relevant timestamps. The platform provides dashboards that show your current LTFC, historical trends, and breakdowns by phase.
With DevStats, you can:
- See your LTFC at a glance on the DORA metrics dashboard
- Track trends over time to measure improvement
- Compare your performance against industry benchmarks
- Identify specific bottlenecks in your delivery pipeline
- Set and track improvement targets
Conclusion
Lead Time for Changes is a critical metric for any team that wants to deliver software efficiently. By measuring LTFC, identifying bottlenecks, and making targeted improvements, you can significantly reduce the time it takes to get changes to users.
Start by establishing a baseline, then focus on the biggest bottlenecks first. Small, incremental improvements compound over time into dramatic reductions in lead time. The result is faster delivery, higher quality, and happier developers and users.