
Executive Summary
Today, Developer Experience or DevEx has become a business issue, not just an engineering concern. Why?
- 68% of developers report saving more than 10 hours a week by using AI tools.
- 63% of developers report that leaders don’t understand the challenges developers face in their roles.
- 50% of developers lose 10+ hours per week to non-coding tasks, and 90% lose 6+ hours.
Source: AtlassianThese numbers highlight the gap between the productivity potential of new technology and the day-to-day realities developers face. To close that gap, you need to treat DevEx as a measurable performance indicator.
Many industry leaders are already choosing this approach; now is the time for you to understand and deliver a seamless Developer Experience (DevEx). Explore to learn more.
Developer experience, or DevEx, as the name suggests, refers to all interactions among developers, project people, platforms, tools, and processes they use to deliver software products.
Earlier, User experience (UX) alone was the critical element for any project’s success. However, things have evolved, and developer experience (DevEx) has become a measurable KPI for ensuring project success.
So, why and how did this shift occur, and what metrics do you need to track to evaluate the overall Developer Experience or DevEx?
Let’s explore this below.
The Rise of Developer Experience or DevEx as A Measurable KPI
For years, leaders measured software success mainly through budgets, user experience, production incidents, and delivery dates. These measures still matter and count in, but the rise of developer experience is non-negotiable.
Developers may be gaining speed through new technologies—68% report saving more than 10 hours a week through AI tools—but those gains can quickly be offset by organizational friction.
As per Atlassian’s State of Developer Experience 2025 report, half of developers are losing 10+ hours each week to non-coding work such as searching for information, navigating disconnected tools, and managing process overhead. At the same time, 63% say organizational leaders do not understand the challenges they face in their roles.
These findings point to the fact that improving the developer experience requires more than adding AI tools or asking teams to work faster. Leaders need visibility into the everyday obstacles that affect how developers build, test, deploy, and support software.
The next step is to turn DevEx into a measurable operating discipline.
Related: AI-Assisted Development ROI That Matters Now | Scalence
What Leadership Needs to Track
Given the realities mentioned above, analysts have identified two main categories that you need to track to ensure a winning Developer Experience (DevEx).
1. Flow and Delivery Efficiency
Rather than tracking individual developer output, you can measure the overall delivery system, including environments, processes, tools, cross-team dependencies, and approvals. For leaders, this is an important distinction.
So, what metrics can you track to ensure a smooth, efficient flow and delivery system?
| Metric | What to Track | What it Says |
| Change lead time | Commit-to-production time | Where delivery bottlenecks occur |
| Deployment frequency | Safe releases over time | Ability to release small changes quickly |
| Work in progress and waiting time | Active work versus waiting work | Where flow is delayed by dependencies |
| Deployment rework rate | Releases requiring corrective work | Capacity lost to fixing recent releases |
| Time to first production deployment | New team time to first release | Ease of onboarding and platform self-service |
2. Tools and Platform Reliability
Reliable tools and platforms are foundational to a good developer experience. Developers cannot stay focused when build systems fail unpredictably; test environments are unavailable, deployment pipelines are slow, or internal documentation does not match reality.
So, you need to differentiate between a tool/platform’s usefulness and its availability. Sometimes, it is the tools and platforms that create friction for several reasons, such as services being difficult to discover, workflows failing, or developers requiring specialist support to complete routine tasks.
What metrics you can track to understand whether the platform is dependable and practical to use:
| Metric | What to Track | What it Says |
| Platform availability | Critical workflow uptime | Whether outages block delivery |
| Task-success rate | Successful task completion | Whether workflows are easy to use |
| Self-service completion rate | Tasks completed without support | Whether teams depend on specialists |
| Pipeline reliability and failure rate | Platform-caused pipeline failures | Whether tools disrupt delivery flow |
| Mean time to restore services | Service recovery time | How quickly blockers are removed |
| Support demand and recurring issues | Repeat tickets and escalations | Where platform friction persists |
| Developer satisfaction with tools | CSAT or NPS feedback | Whether developers trust the tools |
Making DevEx a Decision-Making Tool
A measurable Developer Experience or DevEx is not about monitoring developers more closely. It is about helping you make better decisions about where to remove friction.
When you track delivery flow, platform reliability, self-service adoption, and developer feedback together, you can see where work stalls before missed deadlines and production issues affect the business. That gives you a better basis for deciding what to fix first.
At Scalence, we treat DevEx as a continuous improvement effort, not a one-time platform project. You cannot create a perfect dashboard or more oversight of individual developers. In fact, you can analyze your delivery environment where teams spend most of their time tackling internal obstacles.
Want to know more about it? Get in touch with our experts.
FAQs
Why are developers still losing time despite using AI coding tools?
AI can accelerate tasks such as coding, testing, documentation, and troubleshooting, but it cannot automatically eliminate organizational friction. Developers may still lose time searching for reliable information, waiting for approvals, resolving environment issues, switching across disconnected tools, or depending on specialists. AI productivity gains are limited when the wider delivery system remains fragmented.
How often should leaders review developer experience metrics?
Review core operational metrics continuously through delivery and platform dashboards, while using monthly or quarterly reviews to identify trends, prioritize investments, and validate improvements. Developer feedback should also be collected regularly, particularly after major platform changes. The goal is not constant surveillance; it is to spot persistent friction early and make evidence-based decisions before delivery performance deteriorates.
Can better DevEx improve developer retention and engagement?
Yes. Developers are more likely to feel engaged when they can spend time solving meaningful problems instead of repeatedly navigating broken tools, unclear processes, and avoidable administrative work. Improving reliability, autonomy, and workflow clarity demonstrates that leadership values engineering time. That can strengthen morale, reduce burnout risk, improve collaboration, and support retention over time.
What causes poor developer experience in enterprise engineering teams?
Common causes include unreliable build or deployment pipelines, outdated documentation, difficult-to-discover services, fragmented tools, slow approval workflows, unclear team ownership, limited environment access, and excessive dependencies on central platform or operations teams. These problems interrupt flow and create unnecessary context switching, leaving developers with less time to focus on valuable product and customer-facing work.
Which DevEx metrics should we prioritize if our releases are consistently delayed?
Start with change lead time, deployment frequency, work-in-progress, waiting time, pipeline failure rate, deployment rework rate, and mean time to restore blocked services. Together, these metrics reveal whether delays stem from approvals, dependencies, unstable environments, poor release processes, or platform issues. Avoid treating one metric in isolation; patterns across measures provide the useful diagnosis.