Introducing the world to software engineering metrics that help teams, and improve processes
Athenian calculates metrics on historic and live metadata from GitHub to give insight into your software delivery pipeline.
Combining Jira and GitHub data, we give full insights across workflows, epics, bugs, and much more.
Understand the bottlenecks and performance of CI/CD with metrics such as run time, success ratio, and flakiness.
Bizzabo is an event planning platform for virtual or in-person conferences.
Learn how Data-Enabled Engineering started in one team and quickly became adopted across the organization
Akeneo is an intuitive platform that radically simplifies product information management.
Transitioning to data-enabled decision-making is a challenge for many organizations. We're making it accessible to anyone.
For engineers to tell you when your software delivery process is broken, you need to develop a culture where they are encouraged to speak up.
Jason and Eiso, founder of Athenian, host a podcast about Engineering Leadership.
Ex-VP of Engineering at Heroku and software pioneer, Jason is a close friend and day 1 supporter of Athenian.
Organizations that learn from data improve faster and more effectively than peers who make decisions based solely on intuition and anecdotes.
We believe in data enabling the world of software engineering: empowering teams by giving them insights on their processes from planning to production.
Measure the impact of changes, discover hidden productivity issues, and clearly communicate with all stakeholders on what happens in every part of your organization.
Data-Enabled Engineering helps you answer questions that improve your development processes:
"This difference in deployment speed makes all the difference in delivering value, delighting your customers, and keeping up with compliance and regulatory changes."
The use of data to measure and improve organizational processes is well established in most other functions: sales, marketing, product, and more. But software engineering has lagged behind, even though we are the ones building it for the other areas!
In recent years, elite performing software companies have started to internally build ways to dig into these metrics. And the result is that software is getting shipped faster, with fewer bugs, and with happier teams.
Athenian was birthed to make Data-Enabled Engineering accessible to everyone.
“If you can't measure it, you can't manage it.”
Data and metrics are only as useful as what you choose to do with them. That's why we're strong believers in DEE as an educational tool to help everyone in your team strategize, and improve.
Beyond numbers in a dashboard: DEE is a cultural methodology that uses metrics as a proxy to help you understand if you're continuously improving. Nothing is more motivating than seeing tangible process: shipping awesome features faster, and fixing nasty bugs quicker.
For example, VPs and CTOs can use insights such as work breakdown between features, bugs and tech debt to determine where to invest more. And Managers can understand how Pull Request Size impacts the code review process.
"To successfully adopt a data-enabled engineering culture, it can not focus on individual engineers - it needs to focus on the way we build software, not who is building it."
Magnetis is an online investment platform in Brazil, and Gustavo is a Lead on one of the teams.
Gustavo was first attracted to the idea of DEE to discover why some weeks they would get features out, and others they struggled.
"Once we had Athenian in place, one of the first things we did was question ourselves why our metrics were like they were, without any judgment if they're good or bad."
Using Athenian, one of the areas of interest he identified was that Review Time had been increasing. The team started digging into the pull requests with a high review time, and noticed there was a lot of back-and-forth between team members.
So what did they do? They improved on planning before development. The problem wasn't in the reviews themselves - people were rightfully having discussions. They just weren't aligned on what had to be done in the first place.
Within 3 months Gustavo's team became the best performers at Magnetis as they continued to improve on other processes. And his team of engineers was much happier because their work was reflected in the product more quickly, with a better collaboration process.
After this initial success, the other engineering teams at Magnetis started adopting DEE too.
"Through Athenian my team became the best performing team at Magnetis, the next step is to now level up the entire organization 💪 !"
Athenian tells you more than just the number of deploys, issues, or pull requests your teams are completing.
We provide end-to-end visibility on your engineering processes, so you can identify areas of improvement, discover trends, and make better decisions with data.
Our product gives insights into your whole bug funnel across teams, products, issues, and more.
Learn best practices from our team of Data-Enablers, and accelerate the growth of your engineering organization as an elite-performer.
Better strategic decisions with in-depth insights into how time and resources are invested across areas such as fixing bugs and clearing tech debt.
By following epics and issues from ticket creation to deployment in production, we're giving you end-to-end visibility across your whole software development lifecycle.
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