I'm calling this Berenson's Law: When you ship a new product or service, major release, or even a major feature, your people resources for new feature development is permanently cut in half. https://t.co/nYT7jNabkq
A most insightful answer to why things slow down
CC:@halberenson
@bifrosty2k@SFYD@D4GordonMar have you thought about logging off twitter, my entire feed every time I check is you being outraged at something or the other. is there literally nothing else for you to do?
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Let's reconcile the Bar Raiser program. The goal is "Every person hired should be better than 50 percent of those currently in similar roles". With 6% of people on PIPs every year, we can assume they fall predominantly on the old cohort. Do they? Is the BR working?
Mainstream media is acting like this attitude is new from FANG. It’s not.
Amazon puts ~6% of people on PIPs every year as a quota. Netflix has the “keeper test” and just laid off some engineers. Google did the same as FB a few months ago (more bonuses, higher expectations)…
This ins't happening - take a look at the duplicate chat apps from Google, the re-invention of the data wheel at Netflix, and I have no idea what Meta is even doing with that much r&d. Instead of engineers, who is firing the executives who are greenlighting so many bad products?
Mainstream media is acting like this attitude is new from FANG. It’s not.
Amazon puts ~6% of people on PIPs every year as a quota. Netflix has the “keeper test” and just laid off some engineers. Google did the same as FB a few months ago (more bonuses, higher expectations)…
there are actually only three business models
1. sell reach (ads are a vehicle, what you are selling is _reach_)
2. facilitate and take a cut of transactions
3. build and sell IP
@GergelyOrosz@doist Citation needed on google attrition - regretted R&D attrition was insanely low when I had access to the numbers. The exact numbers are probably confidential.
@GergelyOrosz@GruffRuff3 I was the head of eng of Databricks when we grew AMS DB by 10x. The talent there was just as good. We had 1 bar at databricks and anyone who was employed there had met that bar. This is a stupid take. Databricks has probably the best talent density of any startup.