|Content Last Reviewed||
Thanks for visiting the direction page for Planning Analytics in GitLab. This page is being actively maintained by the Product Manager for the Analytics group. If you'd like to contribute or provide feedback on our category direction, you can:
The DevOps lifecycle begins with planning. An idea is generated by a contributor - be it a support specialist, product manager, or community member - and is scheduled for development alongside many other feature improvements and bug fixes. In context with value stream management, it's the top of our funnel for new initiatives to be developed and eventually see their way to production. As organizations scale and resource management becomes more valuable - and more challenging, with hundreds or thousands of contributors - a strong need quickly emerges to optimize project management and find bottlenecks.
Planning Analytics seeks to deep-dive into the Plan stage of the DevOps lifecycle, by providing insight into your instance's planning activity.
While the Analytics group as a whole is more focused on iterating on Value Stream Management and DevOps Reports, our next step is to build a clear connection between the Issue and Plan stages of Value Stream Analytics and Planning Analytics.
Our next step is also building out project-level Issue Analytics by mirroring our existing group-level feature at the project level. We'd also like to make Issue Analytics more interactive and allow users to click into the charts for further detail.
This category is currently Minimal. The next step in our maturity plan is achieving a Viable state of maturity.