Product Owners have a lot of high-frequency, low-leverage work that AI Agents can reliably take over. Below is a practical list of tasks that you can delegate to AI Agents:
1- Customer Review Sentiment Analysis
Use AI Agents to process received customer reviews and categorize them into positive and negative reviews, alerting you on time when the trend of negative reviews is increasing.
2- Market Trends Monitoring
AI Agents can continuously scan vast sets of data (industry news, research papers, patent filings, venture capital investments, social conversations, …) to identify emerging needs, behavioral shifts, and market trends.
3- Writing Draft of User Stories & Acceptance Criteria
Provide an epic or feature to the AI Agent to draft clear, well-shaped user stories with a comprehensive acceptance criteria for your review and refinement.
4- Monitoring Product Performance Metrics
Setup an AI Agent to monitor the performance metrics of your product (e.g., customer usage index, mean time to repair, cycle time, defect trends, etc.) to alert you when there is a meaningful change. It can provide valuable inputs to your Sprint Retrospectives for further conversations.
5- Competitor & Adjacent Space Analysis
Leverage AI Agents to trace not just direct competitors, but also adjacent players, potential partners, and substitute solutions, analyzing their strategic moves over time.
6- User Story Collection
Setup an AI Agent to monitor incoming customer support tickets to discover requests for new features and add them to the Product Backlog.
7- Generating Release Notes
Leverage AI Agents to check Sprint Backlogs, commit messages, and pull request summaries to create the draft readable release notes.
8- Stakeholder Updates
Setup AI Agents to generate structured status updates for different stakeholder groups (leadership, marketing, support, investors, …) based on a central data input to broadcast their required information in time.
9- Meeting Agendas & Minutes + Follow up Action Items
For routine meetings like Sprint Review and Product Backlog Refinement, AI Agents can draft agendas and, if given a transcript, produce concise meeting minutes with action items. In addition, they can follow up on action items from responsible people by sending them automatic messages and processing their answers.
10- Generating Test Data & Scenarios
AI Agents can create realistic sample data for testing new features and regenerate them every time you want to test the feature again, making your test process smooth and reliable.
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If you are a Product Owner and want to learn how to set up AI Agents for your repetitive tasks, you can attend my upcoming Professional Scrum Product Owner – AI Essentials class. Click here to see the class information.