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# How a product manager conducts 30+ customer interviews per month with AI

**[Atlassian](https://daily.dev/sources/atlassian)** · 4 min read · 0 upvotes · 0 comments

## Summary

An Atlassian Principal Product Manager built an AI-powered workflow using Rovo, Jira, Confluence, Loom, and Slack to automate the overhead around customer interviews. The system automatically sends personalized outreach emails when feedback arrives in Jira, lets customers self-schedule via Calendly, uses Loom to auto-transcribe calls into Confluence, and then triggers a Rovo agent to post Slack-ready summaries to a shared channel. The result: customer conversations scaled from ~2 per month to 30+ per month, with the PM's manual effort reduced to just showing up for the 30-minute call itself.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.atlassian.com/blog/artificial-intelligence/customer-insights-rovo-agent>

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