I'm wondering what data really drives the back-and-forth at big tech. We've seen google, amazon, microsoft, meta, etc.. do hiring freezes, then layoffs. Hiring freeze, then back open, or layoffs then more layoffs later. I would expect a longer term plan than just looking forward or backwards one quarter which seems like what has been happening the last year. I would assume they had better information and insights tha…
Mass layoffs give you the opportunity to quickly purge poor performers without as much paperwork. It's advantageous to have regular rolling layoffs because of this if you can justify them by economic conditions. There's also an effect of wanting to do smaller, pulsating layoffs over the course of many months or even years rather than one massive layoff of the size you actually need, because ultimately no one knows ex…
I've heard people say this, but it seems contrary to how layoffs are run in practice:
• entire teams or divisions are often laid off with no eye towards individual employees' tenure, experience or skills
• decisions happen on a condensed time scale by higher-level executives—not exactly conducive to a nuanced view of individual employees' performance, which companies struggle to assess effectively at the best of times
The "common knowledge" about what layoffs accomplish and why they're necessary really doesn't match what happens on the ground.