I worked at Facebook for some time, and did a bunch of data work. We had this culture of building something, looking at the results between the experiment groups, and then choosing the statistically more successful one -- i.e. a newsfeed algorithm that had better engagement. This sounds great at first, and certainly is straightforward if you want a promotion. But behind the scenes some of us had this thought that our…
I also work in data teams and this is directly my observation too.
Closely related are Conway's Law (you ship your org chart) and Goodhart's Law (commonly paraphrased as 'When a measure becomes a target, it ceases to be a good measure.')
In Netflix's case I certainly feel the shipped product is too close of a reflection of org structure and incentives and user experience suffers as a result.
This feels particularly evident in the treatment of thumbnails and title descriptions. Often I find myself clicking through on a thumbnail in order to read the description only to find that the I've already read the description and didn't want to watch that title, but the thumbnail has since changed.
I'm sure there is some team in Netflix whose sole purpose is increasing thumbnail clickthrough rates. And they are probably succeeding in that respect by changing the thumbnails. They get to win at their portion of some funnel, even if the net result is a lousy user experience.