Hello,
We currently use multiple Jira Projects both next gen and some not next gen. We continually create new Projects for new software initiatives.
Within each Project we have epics and stories related to epics. We will be further creating new stories related to machine learning that will be related to the initial story.
epic -> story -> story for machine learning
There may be multiple machine learning stories related to the same story. This structure will be happening across many projects. We will need a centralized way in Jira to identify these machine learning issues so that we can display them in a single view. We want individuals within many Projects to be able to identify data science opportunities and log them. We then want our data science team to be able to identify machine learning opportunities across all projects. What should we use to identify these tickets as machine learning? We do NOT want to use labels as they are free flowing text and not reliable.
Any suggestions would be appreciated. Whatever method we choose to explicitly identify these issues needs to be available in all projects. They also need to be displayed within a single view. We do have a data science project, it would be great if we can get these machine learning issues into the data science backlog.
All help appreciated!
Thanks.