A few years ago, growth was about hiring more people. Today, growth is about efficiency—doing more with less. As an Engineering Leader, you must align your teams to achieve business goals while improving efficiency. Not every organization has the luxury of hiring more people, so what do we do? We capture each source of inefficiency and thrive on removing them.
After working with several organizations over the years, we have noticed common pitfalls that slow teams down. More importantly, we prepared a list of recommendations to avoid them.
Quality assurance and quality control are different. Quality assurance introduces quality into your process, while quality control verifies the product. When you lack test automation, it creates a more significant necessity for quality control after development, thus increasing the time to bring a change to the market. The lack of mock of external systems establishes a need to test in an integrated environment, leading to dependencies between teams, increased errors and increased time to market. Not to mention, when another team corrupts the environment, nobody can test and deploy in production anymore.
When your deployment time is long, i.e., the time between when a pull request is merged and when it’s deployed in production, it’s a sign that you have many control gates or environments to go through. Elite teams have a Lead Time for Changes under 24 hours, so if you have several days in deployment time, it could indicate that you lack automation.
It’s time to focus on shift left testing. There are a few things you can work on:
The first step is to start measuring yourself. The first set of metrics I suggest gathering is the DORA metrics. This will give you a first picture of the team’s delivery performance and let you know which teams need more attention from the pack.
Tools such as Axify integrate seamlessly with your tech stack to collect accurate data at all phases of development. Our DORA metrics dashboard tracks Deployment Frequency, Lead Time for Changes, Change Failure Rate and Failed Deployment Recovery Time. It allows teams to compare their performance with industry benchmarks, past performance, and other teams in the same organization to identify areas for improvement and celebrate successes.
Our teams’ insights allow you to visualize DORA metrics for each team. They offer the advantage of comparing apples to apples on two important engineering efficiency factors: speed and stability. You can quickly see which team could benefit from more attention and which could share their best practices for better performance.
Transform how your team sets and achieves goals with our objective and key results tracking tool. See immediately the evolution of your performance indicators and implement initiatives that support the continuous improvement of your development team.
Contact us for more information on how Axify helps development teams measure DORA KPIs and improve engineering efficiency, or request a demo.
Or download our complete guide 👇
