With an ever-expanding team of engineers, Docebo, the leading AI-powered learning platform, needed a clearer picture of how to manage developer productivity and improve the work environment. Engineering leadership was interested in tracking DORA and SPACE metrics as a way to get a comprehensive view of how effectively the organization was operating. At the same time, the HR department wanted to use data to proactively spot and address any process, cultural, or tooling issues affecting developers.
“In my view, we were missing a forum for addressing DevEx problems,” said Marco Vadori, who leads Employee Experience at Docebo. “Our CTO was also looking for a better way to capture quantitative metrics like the DORA metrics.” In this regard, the CTO said, “The data collected is invaluable for our People Managers in the Product & Engineering team, aiding them in making well-informed decisions as part of our continuous improvement process."
The company has tried several ways to gather these insights. They were using in-house surveys, but these surveys fell short in delivering actionable insights specifically about developer productivity. HR was also collecting feedback by conducting interviews with developers; however, these weren’t practical for large-scale applications.
Docebo was aware of tools like Jellyfish, which offer quantitative data on developer activities and resource allocation. These tools are able to capture parts of DORA and SPACE but not aspects such as satisfaction, collaboration, efficiency, and flow. They are also often rigid in the exact metrics they track, which is difficult for teams looking to integrate with multiple developer systems or define metrics in unique ways that fit their workflows. For these reasons, as well as because of Docebo’s need to capture perceptual data, these tools were not considered in the company’s evaluation.
“When we saw DX, it was exactly what we had in mind,” said Vadori. “Our CTO was very aligned with DX because of the way it puts together quantitative metrics with qualitative feedback, which we believe is the best way to measure productivity holistically.”
In their evaluation of DX during their proof of concept, Docebo’s leaders had specific criteria that were important to them:
After meeting these criteria, Docebo chose DX to improve their understanding and management of developer productivity and experience. DX’s products will be used by Docebo’s engineering leaders.
Docebo is the leading AI-powered learning platform.