Join Melissa Perri as she sits down with Nan Yu, Head of Product at Linear, to explore how Linear is reshaping project management tools for software development. This episode delves into creating seamless user experiences, the evolving role of AI in product management, and the importance of aligning product strategy with company goals.
In this engaging conversation, Nan shares insights on how Linear is designed to enhance software development, the strategies for balancing feature requests with strategic development, and the role of AI in reducing administrative burdens for product managers. If you're looking to understand how to align product strategy with real-world customer needs while leveraging cutting-edge technology, this episode is a must-listen.
Don't miss out on this insightful discussion! Tune in to learn how to elevate your product management skills and strategies.
You’ll hear us talk about:
- 08:00 - Restoring the Joy in Software Development
Nan Yu explains how Linear aims to bring back the fun in software development by minimizing friction and enhancing user experience, allowing developers to focus on creating.
- 21:00 - Rethinking Estimation and Capacity
Discussing the challenges of scope and estimation in Agile environments, Nan provides insights on how Linear encourages milestone-based development rather than fixed scopes.
- 40:00 - AI's Role in Streamlining Workflows
Nan talks about the impact of AI on product management, highlighting how AI can take over routine tasks, allowing PMs to focus on strategic and customer-focused activities.
Episode resources:
Nan on X: https://x.com/thenanyu
Linear: https://linear.app/
Check our new course: https://productinstitute.com/p/mastering-product-strategy-overview
Timestamps:
00:00 Coming Up
02:38 Dear Melissa
06:57 Getting into Linear
14:54 Making Linear engaging for developers and PMs
22:58 Capacity, estimation, and internal collaboration
29:58 AI’s role in streamlining PM workflows
36:07 Linking strategy to execution and future trends
40:45 Advice to younger self
