Zenhub previews AI for software project management

• AI labels, a planning capability leveraging AI to help teams ensure reporting accuracy. As soon as a team member starts entering data into Zenhub, the system suggests potential labels for the information. With labels powering reporting and analytics across the development ecosystem, this feature reduces cognitive load and saves developers time while ensuring accuracy across the development process, according to Zenhub.
• AI estimations, giving developer teams insight into how challenging a process may be. Estimations will help teams agree on what is easy and what is challenging, as well as on what resources are needed. Completion of prior work will influence future work estimations.
• AI prioritization, using AI to speed up backlog refinement by using past behavior as a guide to prioritize unfinished tasks. This capability will suggest optimal priorities for new tasks and categorize them as high, medium, or low priority.
• AI daily feed, giving developers insights into what has been accomplished, what needs to be done today, and what priorities are required in the near term. Zenhub is exploring sentiment analysis within issues, user stories, and comments to understand where team members might be blocked or stuck.
• AI-powered sprint demos, for reviewing work done during a sprint or during the week.
• AI retros, to provide suggestions on how teams can improve processes by using AI to determine what went well in recent sprints, what issues were faced, and what improvements can be made.