In this episode, our AI hosts break down why modern product teams treat launches not as moments, but as systems. They dive into what Samsung’s Galaxy Note 7 disaster and Netflix’s phased rollout of user Profiles reveal about risk, validation, and execution.

You’ll learn:

• Why the “big bang” launch model fails in complex environments

• How Meta, Netflix, and Amazon use throttling to accelerate learning

• What infrastructure and organizational habits make feature gating work

• When not to throttle, and how to decide

• How controlled rollouts improve confidence, reduce blast radius, and speed up iteration over time

If you’ve ever shipped a feature and held your breath, this episode is for you.