Fair question — and you’re right that many of these practices already exist in different forms across Netflix. The goal isn’t to rebrand existing work or impose product-manager language, but to offer a directional framework for how we mature our data products and mindset together. This includes not only analytical work but also the engineering teams building and operating data systems.

In classic Netflix fashion, this isn’t about mandates — it’s about *freedom and responsibility*. Each team can interpret and apply these principles in ways that fit their context. The value of the article is in creating shared language and intent, so our collective data work scales with the same clarity and intentionality as our other products.