Gitential Analytics

Analytics for Git Repositories

Measure and Improve the Performance
of Your Software Development Team

Gitential Analytics

Analytics for Git Repositories

Measure and Improve the Performance
of Your Software Development Team

Typical Software Development Challenges. Are you facing any of them?

How do you measure your software development?
There are no universally accepted software development KPIs in the industry.​
Can you overview all of your projects?
Difficult to measure performance objectively, especially, at larger organizations and lower trust environments, like outsourcing companies.​
What is your benchmark?
Development is subjective and a creative process. It is difficult to compare team members with different skillset, or projects in different phases.
Do you have visibility over your developers?
How to improve visibility on an oversized team without losing quality insight? How to scale a team without loosing visibility on their performance?
What is the Level of your Team Collaboration?
How much does poor teamwork cost? Is there synergy in your team?
Have your ever Lost Project Momentum?
Intervene faster and prevent missing out acting on time.
Are your Costs optimized?
How much do you spend unnecessarily on bad habits?
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Improve the performance of your software development team based on their Git activities with actionable insights.

Improve Code Quality

Identify strengths and weaknesses of software developers to be able to plan a training plan and finding the best suited challenges for your team to grow.

Allow Faster, On-Time Software Development

Quickly identify if any of your programs are at risk. Prevent failure.

Optimize Project Cost with More Effective Deliveries

Find issues behind non-effective project performance and intervene in time.

Enable Better Collaboration Between Team Members

Keep your team together. Monitoring and analyzing their cooperation and performance metrics allows to prepare a plan for motivation and optimized task allocation.

Quickly identify if any of your programs are at risk

The efficiency of one of the programs has declined dramatically together with the implemented work. What happened?

Be ready to ask the right questions on your monthly / quarterly meetings with your team to understand how you can help resolving program delivery risks.

Gitential Analytics
Gitential Analytics

Identify issues of poor project performance and create plan to improve it

The CTO asks why the Microsoft project is at risk.

More developers (Contributors) are added to the team and they are working longer hours (Coding Hours), but still the effectiveness (Code Volume) and the code quality is not improved compared to last month.

Checking the repositories’ analytics, the finding is that working on one of the repositories has dropped the developer’s efficiency.

While checking the performance driver metrics, it’s visible that this project’s code complexity has risen dramatically in the last month.

Instead of adding more and more headcount to the dev team, it is better to discuss with the software engineering leads what specific skillset they are missing from the team that makes the implementation more difficult.

Keep your team together

Junior developers became part of the team. How should we improve their performance?

Moritz is a newbie and while his code writing efficiency is improving (less of his code needs to be re-written) he is getting slower writing code.

Checking out the team’s collaboration mapping we can see that Moritz is only collaborating with Ioki, who is a new joiner too.

Find a high-performer mentor to Moritz in the team so he can grow into a better performer though internal guidance.

Find knowledge gaps for developers to grow

The efficiency of one of the best software engineers just decreased dramatically. He committed less code but with higher error rate. What happened?

Let’s look at Martin’s performance

  • He is a very good performer, but he didn’t really collaborate with the team.
  • Whenever he committed in the last month, quite high percentage of the code must have been rewritten.
  • He didn’t implement any test lines in his commits.

  • His committed code complexity even dropped in the last month.

Talk to Martin and try to figure out the reason behind his performance drop. It could loss of motivation or signs of burn-out, which can be prevented when noticed in time.

Highlight the items you found so he understands he needs to use testing to improve his code quality and work more closely with his co-workers to use best practices to be able to commit more.

Request a Trial Period or check out our demo project and see how it works for you.

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