We use agile analytics to answer very specific questions about business related questions – answers that come through statistics and mathematics. Even if you cannot see it from the outside, there are patterns that are easily identifiable that you can use to better understand products, predict outcomes of changes, and monitor the productivity and results of teams. You’ll quickly and easily be able to estimate the impact of changes and quantify the performance of all your applications. Even more, analytics allow you to take some of the guesswork out of making decisions and determinations about software.Agile analytics work at almost every level of a business – from individual teams that perform maintenance and development work, to stakeholders that aren’t working within the project but are instead looking in from the outside. You don’t just use analytics to look at what you are currently doing as a business – through consistent analysis you can establish baselines and trends to better manage your software development.
This isn’t a definitive “do this, don’t do that” scenario – instead, agile analytics give you options and another view into the work that you are doing and have done. When using agile analytics, your options will expand and you will have the chance to do something completely revolutionary.
Essentially, agile analytics answer the following questions that many businesses ask:
Iterations make up the timelines of agile development – and those are the perfect segments to look at using agile analytics. Most organizations will work in 2 week sprints, and during each sprint will set aside a portion of time for a retrospective.
Using agile analytics, it is possible to see what has occurred throughout the iteration or scrum and make changes moving forward. In some cases, validation is possible through positive results, or there may be more negative results that allow you to make improvements mid-project instead of somewhere near the end.
Agile tools add value to your business and to your projects, as does agile analytics. There are other tools out there that will help you determine the value of a specific team or a specific project, but they are difficult to read and even more difficult to implement. Agile analytics need to be easy to understand – you should not need someone on your side continually breaking down the meaning. Remember that everyone should have access to the analytics, from the people doing the nitty gritty work to investors and stakeholders – so plain English is absolutely required.
What is the quality of the work that your team produces? Is it high quality or do you have to keep redoing the work? Many companies are building rework time into their schedules as a practice – but it doesn’t have to be that way. Agile development by itself aims to remove some of that – but agile analytics can take it even further. You don’t have to wait until the end of a project to pivot, you can do so right away.
Agile analytics should be performed as soon as a project starts and then continuously used throughout, so that you can make any adjustments so that the end result is something that doesn’t need a lot of rework.
Automation is the name of the game when it comes to building software and moving forward. Automated analytics allow you to do the work that you do on a daily basis without having to stop and run tests by hand.
Even better, they continue to test when you aren’t working, checking that buttons work, customers are having a great experience, and that making the smallest change in one area won’t lead to a bigger change somewhere else.
How much of what you do doesn’t even register with you? A lot of the work that we do comes and goes without any real meaning. Agile analytics put a context around the information that you see, helping you to better adjust the pathway of a project – and make decisions in regards to hiring, firing, and new product development.
In the end, what are agile analytics? Agile analytics produce detailed reports that help you to understand how your business functions from the team through value stream levels. These analytics can help you make decisions both large and small. Sound interesting? If so, schedule a demo with CAST Highlight today.