Software Development KPIs and Metrics To Measure


Tap into the experience and knowledge of more than 2,200 experts, including software engineering practitioners who can help you optimize your strategy, operations and tactics. This was one of the most popular metrics cited by other articles. It’s recommended byTechBeacon,InfoPulse, However, authors seem wary to define the units of this important metric.


This specific set of metrics comes in handy to evaluate how you are doing relative to other teams, industry benchmarks, or your own trends. Measuring and evaluating the work used to be difficult before git analytics came up with a data-driven approach to engineering management. But Waydev, as a complete Development Analytics tool, has the focus evenly distributed across code-level, code collaboration, tickets, and other actionable metrics.

Tasks Finished Per Iteration

The quality of the work done is the most important but, at the same time, the most challenging indicator of performance to evaluate. Here are a few aspects you should pay attention to, alongside more examples of valuable KPIs for engineering teams today. Well, the first step in adding metrics into an engineering organization is to look at baseline data. Cumulative flow is a progress engineering KPI that shows how tasks are distributed across various stages so you can identify bottlenecks and ensure consistent workflows.

These are the key metrics to evaluate the efficiency of maintenance staff. They give quantitative insight into the team’s performance and provide measurable goals for the team. Listening to the team’s feedback duringretrospectivesis equally important in growing trust across the team, quality in the product, and development speed through the release process. Use both quantitative and qualitative feedback to drive change. In general, KPIs for the development team estimate how much time it takes from the initiation phase to the product’s full release.

There are detractors that usually criticize the software, passive users that just use it but don’t recommend it, and promoters who are satisfied with the product and recommend it to others. By conducting an NPS survey, you can calculate the NPS and track it over time. An increasing escaped defects number points to a flawed quality process and can signal that code requirements should be reconsidered before releasing.

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The knowledge they provide is an excellent foundation for correct planning and strategic problem-solving at every development stage. To foreclose the possibility of unexpected failures, the team needs clear-cut indicators to achieve the client’s business goals and control your inner processes in the course of development. Each key performance indicator helps evaluate the software team’s productivity, understand if it is doing its best, and plan resources to increase efficiency.

  • Measuring customers as to their efficiency, satisfaction, and retention will also give valuable insights.
  • These metrics measure past performance or examine the effects of a management decision.
  • Those activities are only valuable because they produce a positive outcome.
  • Lower cycle times result in greater efficiency and profitability.
  • Let’s say the product owner wants to complete 500 story points in the backlog.

Key performance indicators indicate how well your development efforts are aligning with business objectives. Number of Comments per Pull Request – This metric can be a little bit harder to interpret at times. If a pull request has a lot of comments on it, it could mean that there are lots of changes to be made, or there is something wrong with the submission.

As the team moves through the project, the product owner may decide to take on or remove work based on what they’re learning. The epic and release burn down charts keep everyone aware of the ebb and flow of work inside the epic and version. At the outset of the sprint, the team forecasts how much work they can complete during a sprint. A sprint burndown report then tracks the completion of work throughout the sprint. The x-axis represents time, and the y-axis refers to the amount of work left to complete, measured in either story points or hours. The goal is to have all the forecasted work completed by the end of the sprint.

An KPI is a quantifiable metric that an engineering team uses to gauge its success over time — and whether or not they’re meeting set strategic goals. Engineering KPIs can be performance, security, or cost related. To set you on the right path, this guide covers several robust engineering metrics your team should monitor to ensure product and organizational success. We’ll also cover the difference between metrics and KPIs and how to properly measure both. The mean time between failures and mean time to recover/repair measure the production environment’s software performance. Software failures are almost inevitable, and these metrics help control how well the software recovers from them.

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Assuming that a team is customer-responsive, struggling to push the code to production as soon as possible, it makes sense to lower the lead time continuously. Usually, this is done by reducing the decision-making chain. It’s important to monitor how velocity evolves over time. New teams can expect to see an increase in velocity as the team optimizes relationships and the work process. Existing teams can track their velocity to ensure consistent performance over time, and can confirm that a particular process change made improvements or not. A decrease in average velocity is usually a sign that some part of the team’s development process has become inefficient and should be brought up at the next retrospective.

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Ultimately, this software development kpi metrics allows you to track standstill periods and optimize your workflow. LinearB is the ultimate tool for using KPIs to refine the processes on your development team. To learn about all the ways LinearB can empower you to start shipping more features faster and delivering on your promises, schedule a demo with us today. Deployment frequency is how often a software team pushes code into production.

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Though these metrics will provide useful insight into your team’s performance, processes, and overall satisfaction, avoid fixating on them. Using sprint burndown as a KPI can help your team adjust their performance accordingly when the measurement doesn’t align with predictions. Companies often use sprint burndown charts for their development teams to represent data, gauging time against story points. Here, a story point means assessing a software project’s size and the time needed to build it. Any control by itself is useless if it doesn’t lead to improvements and doesn’t help attain specific goals. There are multiple key performance indicators for software development that help optimize all processes for product success.

Cycle time charts are used by Scrum Masters and Product Owners to control the efficiency of the development process. SourceLevel provides metrics and automated code reviews for software engineering teams. Deployment frequency tracks how often your teams deploy code to production.

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If the app breaks after a small deployment, you know exactly which code you need to look at. But if you release multiple increments simultaneously, there’s a lot more code you have to inspect to root out the cause. A lower CFR means that your code has fewer bugs and, therefore, is higher quality. Cycle time measures the amount of time from work started to work delivered.


This engineering key performance metric estimates how much money is saved by spending money. For example, how much equipment maintenance costs were vs. how much repairs would cost if the machine broke down, plus lost production revenue. R&D Cost/Benefit Ratio – This is a very straightforward engineering key performance indicator. It takes the total R&D engineering costs and compares it to the potential financial gain the project will bring. If the ratio is too small, the proposed R&D will be cancelled, and new options will be explored. However, by focusing on value rather than productivity, you’ll be able to pick the right software engineering KPI metrics to measure employee performance.


As a start, here are the most popular metrics used in today’s environment. KPIs or key performance indicators are specific measurements used to evaluate the company’s performance or particular activities that need ongoing monitoring. Having all the analytics done you have a card up your sleeve.

He’s also a tech consultant with vast experience in working with startups and larger enterprises. His extensive portfolio includes giving back to the community by writing tech posts, speaking at conferences, and promoting the movement of cross-cultural, distributed teams. Product owners use velocity to calculate how quickly a team can work through the backlog. The velocity index is unique for each team, and you shouldn’t compare velocity across teams. By measuring sprint breakdown, you can check whether your team meets its forecast. CodeClimate synthesizes the data from your repos to give you full visibility and empowers your team for continuous delivery.

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