How Atlassian Cut 6-Month Dev Cycles to 6 Weeks
Atlassian CPO Tamar Yehoshua explains how Confluence used PM code check-ins and Figma MCP to compress delivery cycles by over 60 percent.
10+ hours of podcasts, in 5 minutes.
Atlassian Chief Product Officer Tamar Yehoshua explores how generative AI is expanding the role of product managers rather than replacing them. Using internal case studies from Confluence, Rovoclaw, and Jira, she illustrates when PMs should 'row' by contributing code and when they must 'steer' through prioritization and unblocking engineering teams. She also outlines Atlassian's framework for upskilling product managers through an AI Fluency Index and dedicated quarterly AI Builder Weeks.
Atlassian CPO Tamar Yehoshua explains how Confluence used PM code check-ins and Figma MCP to compress delivery cycles by over 60 percent.
Atlassian CPO Tamar Yehoshua explains how Jira used AI coding agents and Loom walkthroughs to 3x feature velocity without breaking legacy code.
Atlassian CPO Tamar Yehoshua shares how the AI Fluency Index and quarterly Builder Weeks upskilled over 1,000 product managers and created 120+ workflows.
Atlassian CPO Tamar Yehoshua explains why AI expands product management instead of replacing it, and when PMs should code versus steer.
Atlassian CPO Tamar Yehoshua explains why PMs should vibe code the initial alpha but step back once full-time engineers join.
10+ hours of podcasts, distilled into one 5-minute read. Free, every Sunday morning.
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