Why Git Analytics matters?
In our high-functioning society maximization is everything, so it’s no surprise that decisions are no longer based on a mere gut feeling – they have to be backed up with data. Every little aspect of every product or service is analyzed and optimized thanks to massive amounts of data. It seems almost ironic that in one of the most technologically advanced industries – the software development sector – the given data is not or just to very little extent used to optimize the process. Not doing that translates to an estimated inefficiency of 30% per engineer per year. Take this number and put this into the salary perspective and you’ll end up with a solid loss every year.
It’s not like leaders or managers never thought about using the data – or that they have blind trust in their developer – the problem so far was that it was almost impossible to use the raw data without investing a ridiculous amount of hours. Luckily, Git Analytics is here to save the day. By providing actionable intelligence within different reports and from multiple perspectives, managers no longer have to rely on outdated Jira status quo. The best part about it? By accessing the past data leaders can instantly see where there is unused potential. Using Git Analytics can bring the loss through inefficiency down to an average of 10%, directly translatable into revenue growth.
Let’s take a look where Git Analytic tools are useful and will make the life of managers easier. Daily Stand-Ups are a great way to keep everyone updated, the problem is, that it can also kill the workflow of the developer. No one wants to waste time or a productivity run, which is why Git Analytic tools provide managers with a clear work log of every developer. This work log comes in the form of a daily overview of each developer output and work pattern. Making it so much easier for managers to identify bottlenecks or any unusual behavior. That can now be used to have an effective Stand-Up meeting where the manager can address problems or give out praise without wasting anyone’s time.
When managers give out performance reviews, objectivity is the most important part. Not being objective can be the breaking point with a developer. But how is that possible without data? So far bad managers of software development teams made judgements based on the likeability of a developer. Good ones used the little data they had and combined that with comparing all their developers with each other. At least some tried, but it still leaves out the fact that every developer works differently. Even more problematic: By comparing developers to each other a very competitive and unhealthy atmosphere is created. If developers start to work against each other, literally no one wins. By using highly personalized Git Analytic data, managers can finally stop this harmful practice and instead start to assess developers against their own previous performance. Finally, a fair way to conduct a performance review that can actually strengthen the relationship between the manager and the team and create a more productive atmosphere.
Developers also take away a big advantage from using Git Analytics: They do work best when there is as little interruption as possible. With help of the tools, they no longer have to send out updates to their manager, which is often a very annoying task. When they no longer have to take care of this, they can focus on what they do best. Furthermore, if a developer gets stuck in a commit, it can take a while to find help or to fix it by himself. Thanks to Git Analytics the manager can see right away when there is a problem and can provide adequate help, instantly killing off the developer’s frustration.
Surveillance software is on the rise all around, since most people have to work from home. With the help of Git data managers will quickly learn that many things they would initially view as distracting, are actually just part of the developers routine or their way of taking short breaks. A much less toxic and far more effective way to work together.
In this global pandemic where most people work from home, Git Analytics becomes an even more important factor to consider. It helps improve the product, the workflow, the atmosphere and yet more important than ever: enables managers to see when one of their developers is struggling with keeping up the momentum.
If you are interested to learn more about how Git Analytics can benefit your teams, feel free to contact us or book a demo today!
This article was originally published on the JonnyGit blog.