for ActionableAgile® Analytics for Jira Cloud
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Create a global control that constricts the charts to only show data from a given period of time.
Enable your admin to prevent users from including specific fields in data sets. Useful for regulatory purposes.
Allow Jira users to publish the four key flow metric charts on a Jira dashboard by simply selecting a data set and view.
Users can save different combinations of chart configurations (aka views) so they can toggle between them to look at the data from different viewpoints easily.
Add a title and description to each chart and improve the structure and layout of the page to be consistent across all charts.
Bring our knowledge base to the users through an AI support bot that helps provide answers where you are, when you need it.
The URL will contain a reference to a data set and a view, allowing you to load that data configured exactly the way you want it.
Add a WIP limit that the group adheres to (if applicable). If utilized, additional visuals and insights can be added to all charts that focus on in progress work.
Users with existing subscriptions will be able to change where their data resides in a self-service manner. Supported regions: EU (Stockholm), US (East), Australia (Sydney).
Allow users to decide how predictable they want to be (we want 85% of our work to finish in 10 days or less) so they can see the gap between that and where they are.
Allow users to publish the monte carlo simulations to native dashboards in Jira or Azure by simply selecting a data set and view.
When you're in Azure or Jira, the example data should represent real data from that system.
Allow users to create and save annotations for a data set to add context for anyone analyzing it.
Allow users to choose to load a specific data set by default when they open the app.
In every data loader, allow users to select a relative period of time that constantly updates based on today's date (last 1 year, 2 months, 3 quarters, etc.)
Show average and percentile-based cycle times for each workflow stage.
Surface additional insights from the data in each chart so users have to do less work to interpret the data.
See the total and average age of Work Items in Progress each day, week or month.