Though the bottom 14% is a pretty big amount to cut, almost certainly some decent performers in that group.
Though the bottom 14% is a pretty big amount to cut, almost certainly some decent performers in that group.
I don't think you can only cut "poor performers" in any sort of bulk layoffs. You can avoid it in aggregate, but there will be enough mistakes, enough teams that need to cut a number but don't have enough poor performers, or even enough high performers who are just on teams that are deemed no longer necessary.
There's always management infighting, especially in lean times.
If it's just some folks getting miffed because someone from another department stepped on their toes or made some unkind comments about their team, then that shouldn't be too serious.
I'm assuming it's mostly the latter at Stripe...
The time to do that would have been in a reorg (Stripe's philosophy for that is at https://stripe.com/guides/atlas/organizations-and-hypergrowt... ) prior to layoffs.
During a layoff, if you want to transfer to a different team, apply for a job on that team if they've still got some open headcount.
The company in question was able to stomach this because it would go on to undergo significant structural changes anway but it basically had to start building a new company culture from scratch and doing it top-down is much harder than building on something you've developed organically via your early hires.
EDIT: Since I'm rate-limited right now, I'll elaborate here: it was a company with a number of employees in the low 2 digits at the time and the employee in question had been involved (indirectly via another venture in the same office space and later directly) since before the company even got off the ground. They were in a non-technical role at a tech company but on good terms with most employees and genuinely cheerful about company branding and everyone being "the company" rather than just working on cool tech that happened to be sold by that company. Basically they acted as social glue, both between other employees but also between those employees and the company. Some other (higher performing) employees left after them but I doubt most could point at what it was that pushed them to quit even though this employee's departure was likely a major contributing factor. I could go into more detail but I want to preserve the anonymity of everyone involved, especially those no longer working at the company.
I get what you're saying and have worked with people like that. But I see that as a different management problem that also needs to be solved.
In the latter case it's simply impossible for a single person, not in middle-management or exec level, to be in a critical 'social glue' position.
Dunbar's number, etc.,
So what you usually end up at 3 or 4 digit companies is astroturf and mandatory fun days. The adhesion to the company will be fueled by sales and marketing, the cohesion within teams will be imposed by team building techniques. It's all very artificial and superficial because you can't grow social bonds top-down.
It can be profitable and when you've grown this large employee churn will likely be less of a problem (see Meta) but it's a much less pleasant environment to exist in as a human being.
I imagine they could've went for 10-20x their current value like most IPOs during that time...
IIUC - Stripe actually has good financials.
As a comparison - Twitter had ~7500 employees. Stripe had ~8000.
So I wouldn't be surprised if they have room to cut ~14%. Though, I'm interested why now.
Are they planning to IPO soon or something? It just doesn't seem like a good time for that...
So, not really a surprise that this happened to Stripe.
[0] https://news.ycombinator.com/item?id=20993919
Would be useful to see some charts of all those "hiring sprees" that happened during the last 2 years at the big US tech companies, and how the curves on those charts would compare to "normalized" charts had the pandemic/hiring sprees not existed (i.e. if the headcount in 2020-2021 would have increased following the same hiring trends of 2019, 2018 etc).
VCs were way too exuberant and founders were more than happy to mop up the capital.
I see stocks as fundamentally two things. A statistical thing (something that tracks the underlying fundamentals of a business, and a probability (a belief in that company). Yes, this alludes to classical frequentist statistics vs Bayesian statistics interpretations.
somewhat? It has 8 THOUSAND employees to run a payment processor.