Reason 1: RSUs structured to pay after most people quit: Year 1 5% of RSU grant Year 2 15% of RSU grant Year 3 40% of RSU grant Year 4 40% of RSU grant Reason 2: 12% attrition per month is common in orgs Expected Value (4 years) = 2.33% (.05*.22) + (.15*.05) + (.4*.01) + (.4*.002) = .0233 Year 1 5% of 4-Year RSU Grant 22% of people last this long (.88^12) Year 2 15% of 4-Year RSU Grant 5% of people last this long (.88^24) Year 3 40% of 4-Year RSU Grant 1% of people last this long (.88^36) Year 4 40% of 4-Year RSU Grant 0.2% of people last this long (.88^48) Year 5 1/2 of remaining 0.2% of people PIPed Other half of remaining 0.2% get promoted (Survived the sweatshop pyramid scheme another year)
Doesn’t Amazon front load the bonus for first two years to mitigate this? Or is this only Twitch
They do lol
Most people don’t make it to their 2nd bonus
This is clearly stupid trolling, but it's this kinda stuff that gets shared on FB as "FACTS ThEy dON't TElL U".
Statistics based on facts, must have triggered someone
Yeah, triggered because my non-RSU issuing company with average attrition in a different industry is so similar to the company I dont have a shot at getting into 😂
Time to go back to school and take that Math class again kid
Nice math, the 12% per month might be extreme. How about 10% per year? That gives you different outcome
Cherrypicking for the rarest of Good WLB teams at Amazon?
Look, let there be hope, and light. Amen.
Did you really just create a new topic from the comment you left on the google vs amazon one?
12% attrition per month is an extreme scenario. You are really good at math, can you tell me how much time it would take for all employees to leave given the attrition is 12% per month across all orgs and hiring rate is only 3 % per month?
Hiring rate is 3% of demand( head count), attrition is 12% of existing supply. So the system reaches equilibrium when supply is 1/4 of total headcount. This means Amazon is always under staffed ? Haha
It's true that Amazon is always under-staffed. It is one of the reasons why WLB is screwed up. But you missed the point entirely. It is not possible that Amazon has 12% per month attrition.
The problem here is that you observed something in a given Org for a short period of time and now you are calling that "facts" and "statistics". Was 12% the attrition rate for 5 years straight? You said "in some orgs", how many different Orgs had similar numbers? It would be crazy to think that only 5% of new hires make it to end of year 2, and that only 1% makes it to end of year 3.
Attrition numbers common across orgs
OP, when you make up stats, you have to make them at least somewhat plausible. This ain't it.
Empirical adjective based on, concerned with, or verifiable by observation or experience rather than theory or pure logic.
Ironic adjective When someone posts a dictionary definition and misspells the word they were defining. It's "empirical," you halfwit. Nice trolling overall though.
12% is like the org is all gone within a year
Where are these statistics coming from?
Only stats here are Reason 1 & 2 in post, Reason 1 is widely known and Reason 2 is empirical
I feel your "Reason 2" number is too high.