Have AI-powered agents changed how you work?
At Atlassian, almost all of our 450+ product managers now use AI tools weekly, saving nearly 40 minutes per day on average. Part of this transformation is happening with agents, our new virtual team mates.
Here are four agents that have changed different aspects of our product discovery process:
1️⃣ 🔀 Decision Director: Enhances decision-making by reviewing documents, making suggestions, connecting teams with subject matter experts, helping improve decision clarity, and ensuring alignment with whatever decision framework the team is following.
2️⃣ 🗒️ Product Requirements: Assists in drafting and reviewing product requirement documents, aligning teams with common templates, using specific sources as context and focusing on problem articulation.
3️⃣ 🔍 Customer 360: Before a customer call, this agent pulls together everything from Jira, Confluence, Salesforce, Slack, and internal systems—giving PMs a complete view of a customer in seconds.
4️⃣ 📢 Jira Theme Analyser: We get thousands of feedback items weekly. This agent automatically scans Jira work items to find themes, posting daily summaries to Slack or publishing reports in Confluence. It's helping teams spot top requests, support issues, and trends—without drowning in the data.
👉🏽 What to lean more? I've gone into detail with examples of each agent with screenshots/demos here: https://sherifmansour.medium.com/four-agents-atlassians-product-managers-use-to-improve-their-product-discovery-workflows-2201b99b68af
Have you had a go at using Rovo agents? Any ideas to share for how it's changed how you work? What can we do to make them better? Love to hear our thoughts
6 comments