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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
Publicis has a lot of airlines huh
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Spread collar. Four in hand or full windsor?
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Aggressively trimmed staff is an overstatement - more like we slowed hiring and kept normal attrition levels and then got normal growth and so we’re running hot now.
Rising Star
Voluntary attrition was also within normal bounds.
Chief
BCG aggressively trimmed staff last spring and summer in expectation of a COVID downturn that never really materialized, and has been sold out ever since.
Pro
I heard they outcounseled too many people and their pipeline is much larger than anticipated
Combination of the following in my opinion:
1. Slightly more aggressive counseling out during COVID and eliminating hiring during that time in anticipation of a downturn
2. Downturn was brief, very high demand after in both traditional projects + COVID related (maybe getting more MCK business too due to the news?). Even industries that have been impacted a lot by COVID are still spending on consultants to help navigate through the crisis.
3. Supposedly worst WLB in COVID world, partly driven by #1 and #2, maybe driven by culture, and likely also driven by going from the best perks in industry (flying bizclass staying at Ritz spending $$$ on food) to eating ramen at home bc no time to cook-+ working 2-3 hours more/day->leading to higher voluntary attrition. Outside of a few pockets in industry, exit opportunities continue to plentiful so people leave to greener pastures.