[jasonbarone]

> Yes, that is directly from the LinkedIn dashboard for Uber [1] which has company employment data. I am assuming that they are dependent on people listing their employment as Uber for it to be correct. I believe you have to be a Premium user to get the data.

You're sourcing Linkedin for employment data and using that to say there's a churn problem at Uber?

[WisNorCan]

LinkedIn shows new hires and total employees. Churn can easily be calculated by [June Employees] + [June New Hires] - [July Employees]

[jasonbarone]

Good plan. It's not like that number includes vendors, contractors, drivers or anything that could skew the numbers.

[WisNorCan]

Sarcasm doesn’t really help to move a conversation forward.

At some point, you will learn to try to extract signal from imperfect data. It’s a key skill. If you wait for perfect data, you will miss the trends until they are in the rear view mirror.

Unless you believe that there has been a sudden mix shift in vendors vs. employees, the general analysis of churn and hiring still hold. You are only debating the multiplier on numerator and denominator.

Those are less important.

[sebleon]

Why not filter the analysis only to profiles with keywords like"engineer" or "operations". Otherwise the analysis is unlikely to be directionally correct.