For as long as I've been using Jira, I've wanted an easy way to analyse ticket cycle times and workflow transitions, and now I can do it with a little help from an LLM.
What was previously difficult to achieve without external paid plugins has not only become easy and quick to implement, ๐ฏ๐๐ ๐บ๐ผ๐ฟ๐ฒ ๐ถ๐บ๐ฝ๐ผ๐ฟ๐๐ฎ๐ป๐๐น๐, ๐ ๐ฐ๐ฎ๐ป ๐ฐ๐ฟ๐ฒ๐ฎ๐๐ฒ ๐บ๐ ๐ผ๐๐ป ๐ฐ๐๐๐๐ผ๐บ ๐๐ถ๐๐๐ฎ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป๐ ๐ฎ๐ป๐ฑ ๐ฎ๐ป๐ฎ๐น๐๐๐ฒ ๐๐ต๐ฒ ๐ฑ๐ฎ๐๐ฎ ๐ฒ๐
๐ฎ๐ฐ๐๐น๐ ๐๐ต๐ฒ ๐๐ฎ๐ ๐ ๐๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ ๐ถ๐ ๐ฏ๐ฒ๐๐.
If youโd like to explore and build your own Jira analytics agents, this video is a great starting point.
https://youtu.be/vKniUPrz51Y
When it comes to cycle time and development tickets, I've worked with teams that configured an astounding amount of statuses (it was making me dizzy looking left to right and right to left on a board) to get better oversight of their development process. But I've never actually seen these workflows measured, and unsurprisingly, nothing actionable ever came out of all that ...
Iโm curious โ whatโs your experience with measuring ticket cycle times?
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