Generative AI use cases for project management - AWS Prescriptive Guidance

Generative AI use cases for project management

Effective project management is at the heart of successful software development. In the context of generative AI, project management takes on new dimensions. It can become more predictive, adaptive, and data-driven. AI-powered project management tools analyze historical project data to generate more accurate time and resource estimates. They can automatically prioritize tasks based on business objectives and team capacity, and they can even predict potential roadblocks before they occur. For instance, a project manager might use generative AI to create a preliminary project plan based on the project's requirements and historical data from similar projects. The AI could then suggest optimal team compositions that account for skills, workloads, and project needs. Throughout the project, AI-driven dashboards provide near real-time insights into the project status by automatically generating reports and highlighting areas that require attention.

This AI-augmented approach to project management can enhance efficiency. It helps project managers focus on strategic decision making and team leadership, rather than getting bogged down in routine administrative tasks.

The following table shows project management use cases that you can enhance with generative AI and the persona responsible for those use cases.

Subcapability: Use case Persona
Issue management: Create and assign issues Project manager
Issue management: Detect issues during testing and log them Test engineer
Issue management: Prioritize issues based on severity and assign them to developers Project manager
Issue management: Identify and merge duplicate issues Project manager
Issue management: Track and generate reports about key issues, metrics, and overall health of the project Project manager
Sprint and task management: Estimate effort for tasks and assign story points based on team capacity Scrum Master
Sprint and task management: Distribute tasks among team members for even workload across the sprint Scrum Master
Sprint and task management: Facilitate sprint planning sessions that align team efforts with sprint goals Scrum Master
Product backlog management: Reorder backlog items based on business value, urgency, and user feedback Product owner
Product backlog management: Integrate new customer feedback and market insights into the product backlog for near real-time prioritization Product owner
Product backlog management: Identify and manage dependencies between backlog items to streamline development Product manager
User stories mapping: Create maps of user journeys to identify all necessary features and their corresponding user stories Product owner
User stories mapping: Identify gaps or missing steps in the user flow Business analyst
User stories mapping: Prioritize user stories based on their impact to the business value Product manager
Reporting and analytics: Generate near real-time dashboards that visualize key project metrics, such as sprint velocity and issue resolution rates Project manager
Reporting and analytics: Analyze historical data and predict future project outcomes, such as potential delays or bottlenecks Project manager
Reporting and analytics: Create custom reports, such as team performance or project status reports, that are tailored to different stakeholders Project manager
Product roadmap management: Create and maintain a product roadmap that outlines major milestones and release dates Project manager
Product roadmap management: Update the roadmap based on changes in project priorities or timelines Product manager
Product roadmap management: Share the roadmap with stakeholders to provide visibility into the product's direction Product manager
Feedback loops: Collect feedback from the team after each sprint and identify areas for improvement Scrum Master
Retrospectives: Translate feedback into actionable items for the next sprint, driving continuous improvement Scrum Master
Retrospectives: Track the impact of changes implemented from previous retrospectives to measure their effectiveness Scrum Master