4 ms·
This also assumes that PagerDuty's hiring process is so shitty that 1 in 5 of their hires suck. In that case there's no guarantee they'll hire better talent, lo
by PuppyTailWags 4y ago
This also assumes that PagerDuty's hiring process is so shitty that 1 in 5 of their hires suck. In that case there's no guarantee they'll hire better talent, lol
- Phlarp 4y agoOn the one hand PagerDuty's hiring process is shitty, but on the other hand the rest of the industry's process for identifying which heads to reduce is worse?
- ivalm 4y agoStart with distribution for employee Good: P(good)=p Bad: P(bad)=(1-p) Have a bad employee detector P(detected as bad|bad)=q1 P(detected as good|bad)=1-q1 P(detected as good|good)=q2 P(detected as bad|good)=1-q2 Fraction of employees detected as good: pq2+(1-p)(1-q1) Fraction of employees detected as bad (and therefore fired) p(1-q2)+(1-p)q1 Suppose you pay a discount on ability to hire new good employees as d (so probability to hire a new good employee is dp instead of p) So you benefit as long as p(1-q2)/((1-p)q1)<dp/(1-dp) Or (1-q2)/q1 < d (1-p)/(1-dp) Plugging in p=.8, d=.5, q1=q2=q (knowing good and bad is equally hard) (1-q)/q < .167 Break even is then q = 1/1.167=.857 So if you start with 80/20 distribution and after a while improve your discrimination to 86/14 then firing benefits you even if you are hiring from a 40/60 pool.