Features
Agile Analytics consists of unique features that easily collect data-driven insights on the performance of your software development team. What does each feature tell you?
Let us explain!
Highlighted features
The core of Agile Analytics exists of these three powerful features, giving you the insights you need to supercharge your software development.
Error Budgets
Your team is responsible for delivering a product or service on a specific level, as agreed on in your SLA. Do you deliver on these promises? Find out with Error Budgets.
Connect your own service level to Error Budgets, automatically monitor, and receive alerts when the service level is way too low.
This increases team autonomy and tells you everything you need to know about the quality of your production.
Sprint Insights
Do you wonder what exactly your teams are working on? How much time is spent on maintenance or improvements? Then look no further!
Sprint Insights employs deep learning technology, trained on millions of tickets from public sources. Sprint Insights automatically determines if a ticket is maintenance or improvement work and registers how much time is spent on both.
This gives you much more insights in your sprints and creates more focus and data-driven decisions in your team.
Stock
Your software stock is the backlog of your unexecuted development changes. A high stock costs your business lots and lots of money.
Time to fix that. What is your deployment cadence? Where in the process is the waste, like waiting?
Find out with our Stocks feature. Know how much work is waiting to be released, track the cadence and make your software delivery more effective.
Additional features
But there’s more to Agile Analytics!
There are many more great features to discover. Whether it’s social or security insights; we’ve got your covered.
Kudos
With this fun feature you can reward your team members with a Kudo, celebrate personal and team achievements and keep score using leaderboards. Have a little fun together!
The DORA metrics
Want high performance software teams and engaged engineers? Then start measuring the four DORA metrics to navigate continuous improvements in your software delivery.
Leaks
Agile Analytics scans your Git repositories on ‘lost’ API or private keys. If you find one, you can easily figure out what happened, block the lost key, and solve the incident. Safety first.
Hours
We all need to register hours, right? And when we say that Agile Analytics is all-in-one, we mean it. So you can find a quick and easy hour registration feature in our platform that is able to suggest how many hours you made using the inferred hours feature.
Team Insights
Delivering software is a team effort. But how is your team really doing? Are they happy, autonomous, and engaged? Find out by looking at Team Insights.
FAQ
How do I connect my tools to Agile Analytics?
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You can easily go to Settings in your Agile Analytics account and connect the feature (i.e. Kudos) to the system you need (i.e. Slack). When linking systems like Jira, AWS Cloud, Google Cloud and Git platforms, you can test the connection in your account to ensure a working connection between Agile Analytics and the system.
Do I need to upload self-reported data or manual add data?
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Every link with our source systems is automated. Only the Hours feature data is mostly manual, but includes an inferred hours function. Yes, we love AI and hate manual work.
How does Agile Analytics use machine learning and AI?
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This is used in our Sprint Insights feature. This machine learning feature is trained on millions of tickets from Github data. It now automatically determines if a ticket is maintenance or improvement work and registers how much time is spent on both.
How can I start?
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Simply schedule a demo with us, and we’ll get you all set up!
Do you have more questions?