The article mentions these numbers are for a specific warehouse, and provides the total number of employees at that warehouse (~2500).
If you're firing over 10% of your workforce annually for performance, you have fucked up expectations.
The article mentions these numbers are for a specific warehouse, and provides the total number of employees at that warehouse (~2500).
If you're firing over 10% of your workforce annually for performance, you have fucked up expectations.
I do think that in these sorts of industries, it's important to be able to hire people with a "probationary" mindset, because if firing weren't possible an employer would become a lot more risk-adverse. It's actually really important to people with no credentials or who might have a risky profile (a criminal conviction, for example) that they be allowed to prove themselves and start building a resume, so we should be careful about incentives in these cases.
It's been all but abandoned by the biggest names behind it (GE, MS).
GE's peak days as a company were when they enforced a high bar using a curve. The same is true for Microsoft, whose better days ended around 2005. Although their stock performance in recent times has been strong, it is largely riding on the refresh of contracts relating to Office and the transition of clients from on-premise to cloud. There has been little actual innovation from the company, and although the culture has improved under Satya Nadella, employees regularly talk about workplace politics, low-quality hires, etc.
Or a seriously broken hiring process.
You hire anyone with a pulse and fire anyone who's performance is not satisfactory. If you're Amazon's size you implement some sort of system using mostly objective metrics (e.g. a no-show counts as X points but a no call no show counts as Y points and you get fired at Z points) so you can quantify performance then you figure out your churn rate and size your pipeline to compensate.
So for low skill jobs you hire anyone, fire the ones who aren't good workers and promote the rest.
A person can have stellar past performance, but turn out to be a poor fit for the particular culture, workgroup, or work of the new employer.
https://www.cnbc.com/2018/01/23/netflix-dvd-business-still-a...
Amazon isn't paying their warehouse employees a premium rate to offset the risk of falling in the bottom 10%.