This interview at Atlassian Team 26 features Tanguy Crusson of Atlassian, product lead for Jira Product Discovery, discussing product prioritization, acceleration driven by artificial intelligence and the Jira Product Discovery product collection and feedback app. Crusson outlines how their team approaches prioritization, roadmapping and connecting customer signals to delivery work, and explains how Atlassian integrates qualitative feedback with product analytics. The interview is part of theCUBE Research and features Alison Kosik of theCUBE Research and Christophe Bertrand of SiliconANGLE and theCUBE. Key takeaways include the increased importance of choosing what to build and the need to start small, test and validate before scaling. Crusson recommends a bucketed investment model covering customer wants, product usability and reliability. They emphasize tying feedback directly to insights and work via Atlassian's platform. Analysts observe that AI accelerates development while raising the risk of the build trap, making accessible data and iterative validation essential for effective roadmapping and product strategy. Watch for practical guidance on product prioritization, feedback management and using product analytics to improve decision making in SaaS platforms and product management practice.