The most successful engineering leaders incorporate objective data into their leadership strategies. Numbers can’t substitute for a CTO’s experience and instincts, but when it comes to decision-making, leaders can use metrics in software engineering to inform their decisions and align with stakeholders.
Different leaders optimize for a different set of metrics depending on company priorities and the needs of their engineering teams. Yet, if you’re introducing metrics to your team, or refining your approach to metrics, there are key measurements worth considering.
At Code Climate, we’ve worked with thousands of organizations, from startups to enterprises, and we know that there are a few key metrics that have proven time and again to be valuable, even if they’re just a starting point!
Whether you’re just starting to incorporate data into your leadership, or are refining your approach to measurement, these 10 metrics are important ones to consider.
They can help you:
- Get a handle on your organization’s Time to Market,
- Ensure your team is adhering to CI/CD best practices,
- Measure the quality of your code, and
- Assess the efficacy of your planning processes.
To find out which 10 metrics you need to know, how to apply them effectively and resolve bottlenecks, download the ebook.
Trending from Code Climate
1.
How to Navigate New Technology Expectations in Software Engineering Leadership
Rapid advancements in AI, No-Code/Low-Code, and SEI platforms are outpaced only by the evolving expectations they face. Learn how engineering leaders can take actionable steps to address new technology challenges.
2.
Mapping Engineering Goals to Business Outcomes
Understanding how engineering activities impact business objectives enables engineering leaders to make informed strategic decisions, keep teams aligned, advocate for resources, or communicate successes.
3.
Unlocking Efficiency: Optimizing Pull Request Reviews for Enterprise Engineering Teams
As engineering teams grow, so can the complexity of the code review process. From understanding industry benchmarks to improving alignment across teams, this article outlines strategies that large engineering organizations can use to optimize Review Cycles.
