top | item 41735185

(no title)

qqtt | 1 year ago

I honestly don't think there is any algorithm. For all the bluster and commitment to being "data driven", none of the companies I've seen mandate RTO have provided any sort of data-driven reason why it needs to happen. Amazon's policy might as well be "Jassy feels it in his gut that RTO is better for the company so we are doing it".

All the communication of RTO invokes the most fanciful and vague references to "magical hallway conversations" and "increased collaboration" without a single data point to back up any of the claims.

It has been almost humorous to watch such stalwarts of "data driven decision making" turn up a giant goose egg with respect to actual evidence on such a huge, impactful, and far reaching decision.

discuss

order

mvanbaak|1 year ago

Amazons RTO is a hidden layoff round. They are overstaffed because they hired like crazy during the pandemic, now they need to slimmdown and will simply wait for people to quit because of the RTO and fire those that dont comply. And they dont have to pay anything because those that leave do so out of free will, and the fired people were simply breaking their contract

cush|1 year ago

People keep saying this, but I don't believe Amazon is that unwilling to pay severance. They excel at making tough business decisions and paying for sunk costs. It's an incredibly risky way to run a layoff - top talent will leave at the same rate as bottom. I don't buy it.

mmcconnell1618|1 year ago

Open office plans have data that shows it costs less than individual offices but it is sold as "fostering communication" and "team culture." The cost per office is easier to count than the lost productivity of a distracted programmer.

RTO has similar data. If we require a highly distributed workforce to be in a specific physical location x amount of time, y percentage will resign and we don't have to pay severance or announce layoffs. That's easy to calculate vs. the lost productivity of individuals or the impact of losing top performers and lowering the bar.

spydum|1 year ago

Only champion data driven decisions when they confirm your desired outcome. Nothing new under the sun.

bitwize|1 year ago

Data-driven management is primarily to find goldbrickers and troublemakers through statistical mumbo-jumbo performed over shoddy proxy metrics. It's not supposed to promote or encourage sensible decisions.