←back to thread

1041 points mertbio | 1 comments | | HN request time: 0s | source
Show context
MeruMeru ◴[] No.42839285[source]
Strongly agree with the author. I was laid off two years ago, and I am experiencing the same feelings he is describing: I no longer want to give my 100%, I no longer overcommit. I do the minimum required and feel emotionally detached from the company and my colleagues.

It's a waste that so many individual contributors who, as the author said, had good performance and were close to the users went through a laid off. Now a new generation of previously high achievers work force will get back in the market and no longer use all their potential for their job. Like it wasn't the fault of the new company that hired me, that now I do the bare minimum, they won't see the full potential I gave before. And I, I cannot prevent it. My work ethics and motivation died after the lay off.

replies(5): >>42839641 #>>42839773 #>>42840050 #>>42840235 #>>42840430 #
ipnon ◴[] No.42840235[source]
I read a book called “The Goal” by Goldratt and he describes his theory of constraints. One of the main predictions of his theory is that the existence of many resources working at maximum capacity is symptomatic of a wildly inefficient production system. Thus you shouldn’t feel guilty about not giving 100% every day. This behavior is necessary to properly balance the total throughout of your company. Ideally only one person should be giving 100% in any given company, and in a fair and balanced system this would be the CEO who is concomitantly receiving massive compensation.
replies(2): >>42841457 #>>42841711 #
yadaeno ◴[] No.42841457[source]
This theory feels like it’s making tons of assumptions and leans heavily on semantics.

In a factory you have many components operating near or at capacity. In a high growth environment you want all of your components working at capacity to explore the problem space and optimize.

replies(2): >>42847739 #>>42848133 #
1. michaelhoney ◴[] No.42848133[source]
The book is worth reading. Unless your work is highly parallelised, it’s hard to not create bottlenecks.