Minichan

Topic: The folly of dashboard management

Anonymous A started this discussion 3 weeks ago #137,815

At it's best, management knows about situations outside the workers control, that can explain low metrics. But even at it's best, it can make great work invisible and instead pardoned, as in "the metrics are ok given the circumstance".

Anonymous B joined in and replied with this 3 weeks ago, 1 hour later[^] [v] #1,458,849

Is there a dashboard to manage my downstream in an MLM? :-)

Oatmeal Fucker !BYUc1TwJMU joined in and replied with this 3 weeks ago, 48 minutes later, 2 hours after the original post[^] [v] #1,458,851

I agree, dashboards are terrible at qualitative factors. But that's why you have a human being doing performance management, there's supposed to be some nuance in a human brain to understand there's some things the metrics can't capture.

Anonymous D joined in and replied with this 3 weeks ago, 1 hour later, 3 hours after the original post[^] [v] #1,458,858

@previous (Oatmeal Fucker !BYUc1TwJMU)

> I agree, dashboards are terrible at qualitative factors. But that's why you have a human being doing performance management, there's supposed to be some nuance in a human brain to understand there's some things the metrics can't capture.

It is possible to build hybrid weighted scores. You can assign figures to anything, really. Most organizations are too lazy to do this. They use AI to show easily counted things like service calls answered.

If you have suppliers, you can mix metrics like speed of delivery with the companies’ certifications and their risk scores from liens and the like. You have headers and nest what feeds each score and it is transparent.
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