Traditionally, companies measured developer productivity using Lines of Code (LoC). With time, this metric system evolved to measure code velocity based on story points in Jira. While LoC is a wrong quantifier, measuring code velocity with story points could backfire as it only gives an estimate.
Identifying the right research-backed, objective metrics helps engineering teams improve efficiency, increase developer happiness, and strengthen business performance.
Here’s what happens in the absence of productivity metrics to objectively measure engineering performance-
There is an objective productivity metric system globally used by elite engineering teams to maintain their competitive advantage, succeed time and again and deliver high performance.
As identified by the Google DevOps Research and Assessment team, 4 key productivity metrics are critical to measuring the performance of a software development team. These metrics result from an extensive 6-year research conducted by over 31,000 professionals world over, and are now used globally by high-performing engineering teams to measure productivity. Let’s take a look at the fundamental metrics-
The DORA metrics come from extensive data-driven research. They provide a broad understanding of your team’s capabilities and delivery levels. You can also use DORA to position yourself against competitors and grow to meet DORA goals, ultimately improving development productivity.
DORA metrics also facilitate informed decisions around team overheads, process changes, gaps in development and team strengths and weaknesses. Elite engineering teams globally use DORA metrics to quantify software development success.
DORA metrics classify performers into four sets, as detailed in the table here.
DORA metrics offer insight into processes and the gaps in them. However, the people who perform the operations also form an integral part of the development process. To focus on this aspect, a research team led by Nicole Forsgren of GitHub came up with the SPACE Framework to quantify developer productivity instead of process or system performance. The Framework consists of these 5 metrics to measure different facets of productivity -
Can you easily track the moving parts in your development pipeline to make a significant difference to the productivity of your software engineering team?
Elite teams now use DORA metrics to drive high-performance engineering that results in revenue.
Building the tools to access this data in real-time from various data sources would distract you from your core business. Insightly can help you get this data right out of the box.
Leverage Insightly to measure engineering outcomes instead of outputs using DORA metrics and create a data-driven culture for continuous improvement.