They're growing at 10-20% YoY not 100% YoY; that hypergrowth in engineering teams would be an interesting thing to see at AppAmaGooBooSoft.
-
-
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
I agree, dishonest stat. % still employed at 1,2,5 years would be a better metric.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
I recently started work at a 'big tech firm'. It was quite noticeable the large number of staff with 5 or 10 years.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
wait, what? this is like survival analysis 101. best would be to see survival probabilities for yearly cohorts.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Ha, that was my first thought when I saw that tweet. Selection bias makes this stat almost meaningless.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
I seriously doubt that this data is correct, unless they're including temps/contract workers.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
I see no indication of "tenure at departure", where do you see it? There are many mentions (up to source) of it being retention rate…
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Did it say that was only counting departed employees? They claim it was averages but i didn't find anything on methodology
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
I was forced out because "new tech requires new blood" I can only imagine that there are millions of microservices or a spaghetti nightmare
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Median would tell more
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.