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dirtystylus : bias   1

Mekka Okereke on Twitter: "If you: 1. Work at a company that has written performance reviews 2. Care about making that review process as equitable as possible 3. Manage people Here's a free tip for you, in the area of language used in reviews..."
If you:
1. Work at a company that has written performance reviews
2. Care about making that review process as equitable as possible
3. Manage people

Here's a free tip for you, in the area of language used in reviews...
Imagine collecting all of the text used in upcoming performance reviews, for everyone on your team. All peer feedback, your assessment, everything.

Then imagine creating a map of word frequencies used, for each person on your team.
If N counts make sense, and you have folks' permission, imagine inspecting frequency maps sliced by different interesting dimensions.

What are the dude-iest words?

What are the blackest words?

Is the language used to describe the work of various cohorts... different?
More importantly, do you want the same language to be used to describe the same work?

This isn't about trying to change your worldview. This is about *you* confirming to *yourself* that the world on your team really is as you want it to be.
One level deeper...

Imagine making a similar map for feedback that *you* have given to your peers.

Do you describe the work of your peers differently based on their cohort? Again, more importantly, do you want to? Or do you want to use the same language to describe work?
What if, for example, you noticed that you were much more likely to use the words, "communication" or "presence" when you were giving feedback about non-US born co-workers?

How would you convince yourself (or disprove!) that in your specific context, that this is OK?
Even deeper. N-grams.

"assertive" vs "too assertive"

"ready" vs "not ready for"

"launched" vs "helped launch"

"works really hard"

"needs to"

"not approachable"

"not helpful"

"show initiative"

"lacks complexity"

"she didn't"
management  leadership  workculture  twitterthread  inclusion  bias  sexism 
september 2019 by dirtystylus

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