What productivity metrics can MDs see or likely use for the cut list?

People Managers or MDs,

I believe that MS teams has some basic productivity metrics or at the least, Schwab has some other 3rd party WFH productivity metrics. Presumably, do they have some metrics for time active vs. time reported metrics? Do you think anyone is looking at how many meetings were on your calendar or how many emails you sent? Is this a report that direct managers or MDs use and see to judge the productivity of a given employee? Assuming for a moment that you get all your work done in mostly 4-6 core hours of the day, and always get exceeds or meet on your annual reviews is MS teams or some other arbitrary MS teams green light "active time" status something that would likely be considered for the cut list? Do any people managers or MDs have feedback on what productivity metrics are available on your teams or groups or if they are used?

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@2kck+1omixzzP The beauty of tesseract is that is lulls people like you into a false sense of security. Then it catches you when you are playing PUBG. WE have you right where we want you. See you on the unemployment line.

no tesseract on my rig. Some other companies are using it but it's not on my laptop. Sup @1cpw+1omixzzP ? I bet CS hired you to stir things up here. Shame

Loaded on everyone's pc, laptop, tablet, and/or mobile device is a software called tesseract plus that monitors hardware resource activity and humanity productivity. It doesn't monitor specific software activities, but aggregates login activity with other hardware resource usage to determine if you are working or merely logged on. The reporting from the software was used as an input with the efficiency consultants - but not the only input.

Note this software is commonly used by most companies to manage resources on network as well as project costs. Its also used to protect the company against the employee when hardware resources are used for activities which could result in legal actions against the company.

It is not the only

@mnc+1omixzzP

"Less likely" to make a mistake with diversity targets does not mean "unlikely." Humans are bad at managing bias, bro.

https://www.forbes.com/sites/glenngow/2022/07/17/how-to-use-ai-to-eliminate-bias/?sh=513e42001f1f

But then again, it is laughable to think CS would embrace 2023 AI tech in a similiar way as big tech companies when CS still needs to catch up with 2010 mobile tech trends first.

@yjr+1omixzzP
"An algorithm"

if race != 'white':
layoff = True

@yjr+1omixzzP
Hmm, you obviously don't know sh-t about AI if you think AI is less likely to make mistakes based on protected classes. Just read a few articles about some of the problems Google has had.

What do MDs do

Microsoft does have metrics like you mean, but it’s unlikely a primary source to determine one’s productivity. If such data is being used, very limited people will have direct access.

The trend is for companies to use AI to help identify who to terminate and in some cases to process mass layoffs. AI is less likely to make a mistake related to percentages of protected classes. Among other metrics, AI evaluates employee "engagement".

In most cases, a human would review the AI analysis and have authority to make the final call. But not always. Facebook told a group of employees they were selected for termination by an algorithm.

https://www.cnn.com/2023/07/04/tech/ai-tech-layoffs/index.html

Search keywords: "ai layoff"

I think your management knows who is getting the job done without having to rely on gimmicky "Teams metrics" that can be gamed with a mouse monkey app. Either you are delivering or you aren't. Poor performers are known.

this isnt a metrics exercise, this is a budget/expense... that will be the metric used.... span and layers as well...

Someone correct me if I’m wrong but I don’t think we use 3rd party software and based on role, Teams data may not mean much either

Thread regarding Charles Schwab Corp. layoffs

What productivity metrics can MDs see or likely use for the cut list?

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