Delivery Performance
19 minutes reading time

Boost Engineering Productivity: Unlock Team Efficiency and Deliver Better Outcomes

Office team working with an analytics dashboard, showing ways to boost engineering productivity.

Have you ever wondered what makes an engineering team consistently deliver results while maintaining high-quality code? It’s not just about working harder. True engineering productivity comes from creating efficient engineering processes, improving team dynamics, and focusing on meaningful outcomes.

For engineering managers and leaders, the challenge lies in balancing speed, code quality, and customer satisfaction without burning out their teams. In this guide, we'll explain how engineering organizations can achieve continuous improvement by leveraging key metrics.

We’ll also discuss practical strategies to improve your team's performance, reduce idle time, and align your engineering efforts with your organizational goals. Whether you're a VP of Engineering or part of a software development team, these valuable insights will help you make informed decisions and drive better business outcomes.

Let’s dive in.

What Is Engineering Productivity?

Engineering productivity measures how well your team can deliver high-quality software efficiently and consistently. This is about more than individual productivity. It’s the collective effectiveness of your software development team, taking into account collaboration, code quality, and alignment with business goals.

At Axify, we believe measuring software engineering productivity metrics such as cycle time, deployment frequency, and planning accuracy is important for continuous improvement. Tracking these metrics can provide you with valuable insights into the development process. It will reveal bottlenecks and enable informed decisions to improve your team's engineering efficiency.

By taking a well-rounded approach, your organization can move beyond the false choice of speed versus quality. Your team can achieve both through continuous delivery by releasing frequently while maintaining high standards of engineering quality.

This approach boosts team health, improves job satisfaction, and helps you align your engineering efforts with organizational goals. With Axify, software engineering productivity isn’t just tracked - it’s empowered for real impact.

Why Measure Engineering Productivity?

Measuring this type of productivity gives engineering leaders the insights they need to make informed business decisions and make the processes more efficient. Eventually, this will help you bring more quality to your customers. As we said above, it’s not about counting lines of code or focusing solely on individual performance.

Instead, it’s about understanding how your engineering efforts align with broader business goals and your customers’ satisfaction. This can improve your team's engineering efficiency and deliver consistent value over a period of time.

Axify helps you with all that. We offer software engineering productivity metrics that reveal areas for process improvements and enhance team dynamics.

Every engineering leader wants their team to deliver high-quality software quickly - and you probably want that as well. However, according to a Stripe report, developers spend only 55% of their time on actual development, and the rest of the time is spent on tasks such as debugging and managing technical debt.

Here are the key benefits of measuring engineering productivity:

  • Visibility: Gain clarity into how your teams are performing. Identify your strengths and pinpoint areas where team health or the productivity of your engineers could improve. Axify, for example, helps you see different tasks by age, activities, and team collaboration level.
  • Alignment with business goals: Ensure that your engineering efforts directly contribute to your organizational objectives. Axify’s goals and reporting tracker can provide you with a clear link between your team's performance and the business perspective.
  • Continuous improvement: Use metrics such as Cycle Time and productivity over time to identify your bottlenecks and opportunities for better resource allocation. Make data-driven adjustments to your workflows for lasting process improvements.

Axify insight: True engineering productivity focuses on delivering consistent, sustainable results that align with your business value - not superficial metrics such as lines of code or story points shipped.

Axify’s Unique Capabilities

DORA metrics in the Axify dashboard

The Axify dashboard offers flexible views to suit different roles. Whether you’re focusing on a single team, a group of teams, or the entire organization, Axify provides actionable insights.

For example, you can track DORA Metrics across all teams and projects simultaneously. This can help your engineering organization assess performance from a strategic perspective, identify common mistakes, and implement impactful changes that align with long-term objectives.

By focusing on engineering productivity metrics that matter, Axify can empower your team to achieve better results.

How Does Engineering Productivity Work?

Engineering productivity entails building efficient systems that can empower your team to deliver quality work consistently. Don’t focus simply on measuring output. You should be creating workflows that minimize delays, fostering collaboration, and maintaining high standards of quality.

At Axify, we give you the tools and insights that help your teams excel without relying on shallow metrics or individual contributions.

That said, here’s how engineering productivity works.

Process-Centric Approach

The foundation of engineering productivity lies in optimizing workflows. By identifying and addressing bottlenecks, you can streamline the development process and keep work moving efficiently.

Value Stream (VSM) bottleneck in Axify

This means looking beyond individual contributions to evaluate the entire system, from planning to delivery. With Axify’s Value Stream Mapping Tool, for example, you get a clear view of your workflows, which allows you to spot inefficiencies and adjust quickly to maintain momentum.

Tools and Metrics

Having the right tools is crucial. Hence, Axify centralizes data on team performance by offering features such as predictive analytics to give you a full picture of your team's productivity.

These features don’t just tell you what’s happening – they help you understand why. With this data, you can make smarter decisions about where to focus your efforts and how to improve team performance.

Continuous Feedback

Real-time feedback loops are important for keeping your team on track. They allow you to spot issues early and address them before they grow into larger problems.

Axify data helps you integrate feedback seamlessly into your workflow so teams can iterate and improve without missing a beat. This continuous adjustment ensures that you stay agile and responsive, no matter the challenges.

Quality and Automation

Value Stream Mapping in Axify with cycle time

Maintaining quality while improving speed can seem challenging, but automation makes it achievable. Automating tasks such as testing, infrastructure management, and deployments reduces delays and frees your team to focus on strategic initiatives.

Axify integrates seamlessly with your existing tools to simplify workflow reporting and provide insights that ensure consistent, high-quality results. While it doesn’t automate tasks like testing or deployment, Axify’s advanced analytics help your team maintain long-term efficiency by identifying bottlenecks and optimizing workflows.

Pro tip: Axify’s Value Stream Mapping and predictive analysis features provide actionable insights that even non-technical stakeholders can understand. This makes it easier for your entire organization to engage with productivity data and contribute to better outcomes.

You don’t even need coding expertise to use Axify – you can simply log in and see all your productivity metrics.

Top Mistakes When Measuring Productivity in Software Engineering Teams

Measuring productivity in your software engineering team can be challenging, and getting it wrong may lead to unintended consequences. When metrics are misused, you risk creating incentives that prioritize speed over quality or activity over meaningful results.

At Axify, we focus on actionable insights that help you measure productivity effectively without falling into common traps. Here are some common mistakes that you should avoid:

  • Avoid lines of code (LOC): Measuring productivity by the amount of code written encourages bloated, unnecessary code that adds no real value. LOC doesn’t account for quality or the impact of the work. With Axify, we focus on metrics like work in progress or flow efficiency to measure productivity meaningfully at the team level.
  • Skip excessive story points tracking: Story points can be highly subjective, depending on who assigns them and how teams interpret them. They often fail to provide a consistent picture of team performance. Instead, Axify tracks throughput (completed tasks over time) to give you a more reliable view of team capacity and progress.
  • Avoid tracking velocity as an absolute metric: Focusing solely on code writing velocity can push your team to prioritize quantity over quality, which can lead to rushed deployments and technical debt. This trap, known as the single metric fallacy, typically masks the bigger picture. Axify shows you essential metrics in context to ensure you’re measuring what truly matters.
  • Goodhart’s Law warning: When a metric becomes a rigid target, it stops being useful. For example, if deployment frequency is overemphasized, teams might sacrifice testing to meet targets. Axify helps you use metrics as indicators, not inflexible goals, so you maintain a focus on quality and outcomes.

7 Best Productivity Metrics in Software Engineering

Understanding and tracking the right metrics can transform the productivity of your engineering team. At Axify, we focus on metrics that truly matter to help you measure performance, identify bottlenecks, and drive continuous improvement without falling into the trap of focusing on superficial data.

Let’s talk about the seven of the most impactful metrics and how Axify improves their value for your software development team.

1. Cycle Time

Cycle time breakdown in the Axify dashboard

Cycle time measures the duration from task initiation to completion. It’s a critical metric for understanding how efficiently work flows through your team. A shorter cycle time means faster delivery, better responsiveness to change, and fewer delays in your process.

Pro tip: Axify’s cycle time metric identifies delays in your workflow and pinpoints areas where processes can be streamlined. With our visual dashboards, you can monitor productivity over time and make informed adjustments to keep your team moving efficiently.

2. Lead Time for Changes

Lead time for changes metric in the Axify dashboard

Lead time for changes focuses on the period from when code is committed to when it’s deployed in production. It’s an important indicator of how agile your team is and directly impacts your time to market. Shorter lead times mean faster value delivery to customers and quicker iterations.

According to the 2024 Accelerate State of DevOps Report, elite teams achieve a lead time for changes of less than one day.

Pro tip: Axify’s Software Delivery forecasting tool shows you potential delivery dates based on historical data, which helps you identify blockers in advance. This helps you reduce lead times and improve your engineering velocity. By highlighting potential delays, you can take proactive steps to ensure a smoother deployment process.

3. Deployment Frequency

Deployment frequency metric in the Axify dashboard

Deployment frequency measures how often your team deploys code to production. It reflects the pace of delivery and helps you gauge the consistency of your releases. Frequent deployments promote iterative development and reduce the risk of large-scale failures.

Pro tip: With Axify, you can track deployment frequency across teams and projects. Our dashboard provides insights into how to maintain a steady flow of releases while balancing speed and quality. This ensures your team stays productive without sacrificing customer satisfaction.

4. Throughput

Throughput metric in the Axify dashboard

Throughput measures the number of completed items, such as tasks or features, over a specific period. It’s a straightforward way to assess team capacity and overall performance. Unlike subjective metrics such as story points, throughput gives you an objective view of progress.

Pro tip: Axify emphasizes throughput as a more reliable metric than story points. By analyzing completed tasks, you gain actionable insights into your team’s workload and identify opportunities to improve resource allocation.

5. Work in Progress (WIP)

Work in progress (WIP) flow metric in the Axify dashboard

Work in progress tracks the number of tasks currently being worked on. High WIP typically signals bottlenecks or inefficiencies, while low WIP indicates a streamlined process. Keeping WIP manageable helps prevent overload and ensures a smoother workflow.

Pro tip: Use Axify data to implement WIP limits and, thus, control task accumulation. By setting clear boundaries, your team can avoid bottlenecks and focus on completing high-priority work. This can improve your team's health and overall engineering efficiency.

6. Change Failure Rate

Change failure rate DORA metric in the Axify dashboard

Change failure rate measures the percentage of deployments that result in failure or require a rollback. It’s an essential indicator of code quality and the effectiveness of testing processes. Lower failure rates mean fewer disruptions and higher customer satisfaction.

Pro tip: Axify provides detailed tracking of change failure rate. This can help you monitor the success of your deployments and the quality of your code review processes. By identifying trends, you can take steps to strengthen testing and minimize failures.

7. Failed Deployment Recovery Time

Failed deployment recovery time DORA metric in the Axify dashboard

Failed deployment recovery time tracks how long it takes to restore functionality after a failed deployment. This metric highlights your team’s ability to handle issues quickly and minimize downtime, which directly impacts user experience and business outcomes.

Pro tip: Axify’s failed deployment recovery time metric supports faster issue resolution to minimize downtime. Our insights help your team address failures efficiently so that you can ensure smoother operations and reduced impact on your customers.

How to Improve Engineering Productivity

Improving engineering productivity requires more than pushing for faster results. It’s about creating systems that empower teams to deliver quality work consistently.

A McKinsey study found that tracking metrics at the system, team, and individual levels has led to a 20–30% reduction in customer-reported product defects and a 20% boost in employee experience scores.

At Axify, we focus on practical, measurable strategies that enhance your workflows, encourage collaboration, and align engineering efforts with your organizational goals. Let’s see the best ways to achieve this.

Optimize Workflows with Value Stream Mapping

value stream mapping in axify

Understanding your workflows is important to improving productivity. Value Stream Mapping lets you pinpoint bottlenecks, streamline processes, and identify areas where time and resources are being wasted.

This tool makes it easy to visualize how tasks progress through your system. This transparency is how you ensure your engineering processes are improved for efficiency. By addressing delays and removing unnecessary steps, you can keep your team focused on delivering value quickly and effectively.

Encourage Smaller Batches

Breaking work into smaller batches is one of the most effective ways to improve engineering productivity. Smaller deliverables and frequent pull requests (PRs) reduce the time required for code reviews and ensure a steady flow of progress. This approach minimizes the risk of large-scale rework and keeps your team agile.

 Axify - Metric - Ongoing pull request

Pro tip: Axify helps you track PR frequency as a proxy for small batch flow. By monitoring this metric, you can identify areas where work distribution could be improved and encourage a more efficient development cycle.

Automate Where Possible

Automation is a powerful way to save time and reduce errors. By integrating CI/CD pipelines and automated testing into your processes, you can eliminate repetitive manual tasks and ensure deployments happen smoothly and reliably. Automation not only accelerates your development cycle but also maintains consistency in quality.

Axify provides insights into areas where manual processes may be slowing your team down. Our Value Stream Mapping tool, for example, shows you what SDLC phases are longer, so that gives you cues where automation could deliver the greatest benefits.

Improve Collaboration and Reduce Hand-Offs

Smooth collaboration is the foundation of productive teams. Involving QA early, sharing knowledge repositories, and minimizing task hand-offs can drastically reduce delays and miscommunications. By reducing dependencies between individuals or teams, you empower your software development team to work more efficiently.

Pro tip: Axify’s dashboard keeps everyone on the same page. With this centralized data and your clear task assignments, you can cut down on unnecessary hand-offs and ensure alignment across your organization.

Focus on High-Impact Goals (OKRs)

Axify's objectives and key results dashboard tracks progress and team performance.

Setting and aligning objectives is critical to making engineering efforts meaningful. Objectives and Key Results (OKRs) help ensure your team’s work directly contributes to organizational goals. By prioritizing high-impact goals, you can prevent wasted effort on tasks that don’t deliver value.

Axify’s metrics and dashboards make it easy to measure progress against your OKRs. This way, you'll make sure that your team stays focused on what truly matters.

Continuous Feedback and Retrospectives

Regular feedback loops and retrospectives provide invaluable insights into your team’s strengths and weaknesses. These sessions help identify what’s working, what needs improvement, and how to adjust your processes for better results.

Pro tip: Axify’s trend analysis feature allows you to track productivity patterns over time. This makes it easier to see the impact of process changes and refine your approach based on real data.

Case Study: Business Development Bank of Canada (BDC)

Our tools have delivered measurable improvements for organizations such as the Business Development Bank of Canada (BDC). While working with two of BDC’s software development teams, Axify helped them reach these remarkable results:

  • Up to 51% faster overall delivery speed, allowing quicker releases without compromising quality.
  • A 24% increase in team capacity, leading to $700,000 in annual productivity gains.
  • Up to 74% reduction in pre-development time and an 81% reduction in quality control time.

Here’s why:

BDC used the valuable insights from the Axify dashboard to improve its workflows and focused on continuous improvement. The result is faster and more efficient delivery that is aligned with BDC's business goals.

Conclusion: Scale Your Engineering Productivity with Axify

Engineering productivity is about delivering high-quality work efficiently and consistently. At Axify, we provide the tools you need to streamline workflows, enhance collaboration, and make informed decisions with actionable insights.

From tracking key metrics such as throughput and WIP to reducing bottlenecks with Value Stream Mapping, our platform is built to support your team’s continuous improvement.

Take the guesswork out of productivity and focus on delivering real value to your customers.

Ready to see the difference Axify can make? Book a demo today and empower your team to reach new heights in engineering productivity!