When you start work for your customers, they care most about one thing: “When’s it going to be done?” How good have you been at answering that question? Our analytics give you the insight you require to give your customers the answers they need. Learn more about CFDs, Scatterplots, Aging Charts, and Histograms.
Using a Cycle Time Scatterplot, you can quickly determine how long it takes you to complete you work. This data will help you to forecast how long it will take you to complete future issues.
With our powerful Monte Carlo Simulation feature, you can predict how long it will take you to complete all of the issues left in your project's backlog, or how many issues you can get done by a given date, or both.
Using charts like a Cumulative Flow Diagram allows you to stabilize your process to make even better and more accurate forecasts about future issue and project completion times.
Make it better. The ActionableAgile™ Analytics tool allows you to visualize your process unlike anything else on the market today. And you can have all that without changing any tools on your end. The ActionableAgile™ Analytics software integrates seamlessly with most major vendors’ Agile products (yes, even Excel!). If you have access to your raw process data, then you can visualize it in our product. We even build custom integration solutions to perfectly fit your toolset. We’re not asking you to throw away your existing investment in Agile tooling, we're just asking you to do your process a favor by doing analytics right.
We’ve designed our analytics software with the security of your data in mind from day one. Your information will never get stolen from our site because we never see it: all of your data stays local. At ActionableAgile, we believe your data is yours and it should stay that way.
Visit ActionableAgile Analytics and sign in with your email or google account to start your trial.
Once you’ve signed up for your free trial, the next thing you’ll need to do is load your own data into the tool. We have several methods for doing this: