How Atlassian’s Cycle Deal Powers Jira Product Discovery

Product managers are drowning in feedback. Scattered across Slack channels, buried in support tickets, lost in spreadsheets: customer insights exist everywhere and nowhere at once. 

Atlassian has announced it has acquired Cycle, the AI-powered feedback management platform founded in 2019 by Mehdi Boudoukhane with backing from startup studio Hexa, to tackle this reality.

The European company will integrate its technology into Jira Product Discovery, Atlassian’s product management tool that serves over 20,000 customers worldwide. The move addresses a crisis hiding in plain sight: Atlassian’s 2025 State of Product Report reveals that 84% of product managers expect their products to fail, not because they cannot deliver but because they lack confidence in what to build.

“I still remember the early days of building Jira Product Discovery,” says Tanguy Crusson, Head of Product for Jira Product Discovery at Atlassian. “We were sitting in a room with sticky notes everywhere, trying to make sense of dozens of customer interviews, competitor reviews and feedback from our sales, support and customer success teams. It was messy,” he says.

The mess has not improved. Modern product managers navigate a labyrinth of tools. “As a PM, I’ve lived the reality: jumping between spreadsheets, survey tools, support tickets, community threads and Slack, just to piece together what customers actually need.”

How Cycle integration transforms Jira Product Discovery workflows

Enter Cycle’s solution: automated feedback collection that eliminates the manual hunt across platforms. The technology pulls customer feedback from existing tools and channels, applies AI to identify what matters most and connects insights directly to roadmap decisions.

Jira Product Discovery already enables 20,000-plus customers to capture and prioritise ideas across business units, collaborate with engineering and leadership teams, and build roadmaps that connect strategy to delivery. The Cycle integration amplifies these capabilities by automating the feedback collection process that feeds strategic decisions.

“That’s why Atlassian has acquired the tech and team of Cycle. This will enable users to not only collect feedback, but also translate that feedback into customer signals that inform PM priorities, uncover roadmap blind spots and help them explain why they're making the bets they're making,” Tanguy says.

Why AI changes product management beyond speed improvements

Nearly one-third of product managers already use AI weekly for research, analytics and customer feedback processing, yet the technology’s impact extends far beyond efficiency gains.

“AI has made it faster and cheaper to build, but speed without clarity just gets you to the wrong place faster,” Tanguy observes. This paradox defines the current product management landscape: teams can execute faster than ever but struggle to identify what deserves execution.

Cycle’s AI capabilities address this fundamental challenge by processing massive feedback volumes to generate actionable insights. The technology captures market signals and filters relevant information, transforming overwhelming data streams into clear strategic direction.

The shift from instinct-based to evidence-based decision-making represents a fundamental change in product management practice. Teams no longer need to rely solely on experience and intuition when customer data can inform every strategic choice.

“By capturing feedback and market signals, then using AI to cut through the noise, Cycle turns overwhelming volumes of data into clear, actionable insights. The result? Product teams can finally make confident bets backed by evidence, not just instinct,” Tanguy explains.

How Atlassian plans to eliminate product management inefficiencies

Traditional product management workflows resemble archaeological digs. Teams excavate insights from multiple platforms, manually piecing together customer needs from fragmented data sources. Cycle’s automated approach promises to end this inefficient process.

“When feedback flows directly into Jira Product Discovery, it stops being a painful overhead task and starts being fuel. Fuel for better prioritisation, stronger alignment with leadership, and building the right thing, faster,” Tanguy explains.

The platform promises real-time customer need monitoring, freeing product managers from data collection to focus on strategic thinking. 

“It helps product managers close the loop with their customers, showing they're listening and building long-lasting trust,” Tanguy says.