Software engineering is a discipline with largely invisible parts. To get the full picture of how your team is working and where they need help, you need to disrupt engineers, scan source control systems, and pore over ticket comments.
An Engineering Intelligence platform allows you to quickly and accurately diagnose where work gets stuck, who needs help, and where the greatest opportunities lie for continuous improvement.
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Find your biggest slowdowns by pinpointing exactly where pull requests get stuck on the journey from open to deploy.
Distinguish productive work patterns to know when to help and when to avoid interrupting engineers.
Have the data to support important decisions. Objective metrics in context give you the foresight to ensure your changes truly improve how your team works.
Use data as a common language for communicating engineering successes and challenges across your organization.
“Velocity helped us achieve a culture where everyone is more eager to push code.”
“I encourage any engineering leader to start measuring with Velocity to discover their team’s successful work habits.”
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See patterns or anti–patterns in efficiency, and make changes that lead to long–term productivity gains.
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Align with managers on success metrics, advocate for yourself and discover new opportunities for professional growth.
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Look at objective data to understand the progress and constraints of the engineering department.
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Metrics serve as a common language to improve communication and risk identification.
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