Why corporate diversity programs fail what to do instead

[Music]

in 2018

two black men went to a starbucks

to wait for a business associate but

when they asked to use the bathroom

the manager ordered them to leave they

refused

he called the police and the video went

viral

amidst an avalanche of bad publicity

starbucks closed all stores across the

country for four

hours of diversity training and so

baristas were handed workbooks with

prompts like

what makes me me and you you

and understanding our bias from

colorblind to color brave

this made newspapers across the country

and

arguably that was the goal look everyone

we’re solving our diversity problem

the assumption though was that you could

address

structural racism with a an

earnest conversation about our feelings

my take give me a break

to address structural racism you need to

change

structures so in the aftermath

of george floyd’s death my sense is that

many companies are feeling pressure to

actually

deliver on their diversity goals but

they haven’t a

clue what to do and that’s because

we spent probably close to a billion

dollars

on diversity but the basic tools

of the diversity industrial complex they

just don’t work

a one-shot bias training it doesn’t work

for a really simple reason

doing anything once won’t change a

company’s culture and the other basic

tools things like an employee resource

group or a woman’s initiative

they’re fine if the problem is with the

women

and the people of color but it’s it’s

not

if a company faces challenges

surrounding diversity

typically it’s because subtle and not so

subtle

forms of bias are constantly being

transmitted through their basic business

systems

through hiring through performance

evaluations

through access to opportunities so

we need to stop trying to fix the women

and the people of color

we need to fix the business systems

and if you think about it this makes

sense

because if a company was facing

challenges with sales

it wouldn’t respond by holding a series

of

sincere conversations about how much we

all

value sales and put on programming

for national celebrate sales month and

expect

sales to improve but that’s a lot of

what we’re doing

in the diversity context if we really

want to tackle

diversity effectively we need to use

the same tools businesses use to tackle

any business problem evidence

and metrics and you know i suspect this

will come as a relief

to a lot of ceos who feel far more

comfortable

using those tools than they do with

trying to lead a deep conversation

about the inner workings of social

inequality

you know the first step is for us to

understand what bias looks like on the

ground

and i and my team at work life law

we have been studying how bias plays out

in

everyday workplace interactions for well

over a decade

and what we find is that

the same patterns of bias the same

five patterns they emerge over and over

again

so here’s what the evidence looks like

the first pattern

we call prove it again some groups

have to prove themselves more than

others

this is triggered by lots of different

things it’s triggered by

race and gender age

disability lgtbq status

even social class so one study

for example looked at callbacks offered

to white men

with identical qualifications but

different hobbies

one resume listed things like sailing

and polo and the other resume

listed things like counseling first

generation

college students and country music and

if you can believe it

mr polo he got 12 times the number of

callbacks

as mr country music too often when we

talk about privilege

we forget about class

the second pattern is called the

tightrope and it reflects

the fact that a certain in-group of

white men

just need to be authoritative and

ambitious

in order to succeed but women

walk a tightrope where they may be seen

as abrasive if they’re authoritative

but unqualified if they’re not and

people of color who behave assertively

often are written off as angry

if they’re black even hot-headed

if they’re latinx and sometimes as

untrustworthy

if they’re asian-american

the next pattern we call the tug of war

and it reflects the fact that sometimes

bias against a group feels conflict

within the group so for example

if there’s room for only one woman or

person of color it’s entirely

predictable

women are going to be super competitive

with other women

and people of color competitive with

other people of color

the fourth pattern of bias is actually

the strongest form of gender bias called

the maternal wall

and it reflects assumptions that mothers

aren’t committed probably shouldn’t be

and aren’t competent think pregnancy

brain

so mothers often find they have to prove

themselves yet again

when they return from maternity leave

and if they do

they may be seen as bad mothers and so

as bad

people and disliked

the final pattern consists of racial

stereotypes

so asian americans again and again

report that they’re seen as a great

match

for technical skills but lacking in

leadership potential

and our studies show that black

professionals

oh again and again report really high

levels

of isolation and often startling forms

of disrespect

and an asian-american professional

may be seen as too emotional in a

discussion

where you know what a white man behaving

exactly the same way

would be seen as having a career

enhancing passion for the business

and so what we find is that white women

report

four patterns of bias men of color

also report for women of color

report all five in very substantial

proportions and among women of color

black women report the most bias as a

group

but the bottom line really is that the

experience of white men

as a group differs from that of every

other group

if a white man is a first generation

professional or lgtbq

he may encounter bias but but most

aren’t

these biases can have really serious

negative effects

you know there’s a ton of research but

here’s a story that really says it all

we were working with one company and we

spoke to a woman engineer

who had found a mistake in one of the

calculations

of a male colleague and she pointed it

out

when she pointed it out she was

violating

an unwritten rule the good woman is seen

as

modest self-effacing and nice

not a mission-driven expert that’s why

male experts in meetings exert more

influence but you know what

female experts they actually exert

less influence than female non-experts

do

and so when this engineer pointed out

the mistaken calculation

she told us their response of her

department was so

massively negative that she said now i’m

just

smiling a lot and bringing in cupcakes

this company by allowing gender bias to

go

unchecked was literally jeopardizing

their mission

[Music]

so what’s the solution the solution

is to use bias interrupters new

tools my team has developed that are

evidence-based and metrics driven and

i’ve just told you about

a lot of the evidence metrics are also

super important because they help you

pinpoint where things are going wrong so

if a company has

challenges with hiring they should be

keeping track of

who is in the original pool of

candidates

and who survives resume review

and who gets called to interview and who

survives the interview

and the reason that’s important is

because the fix

if you have a non-diverse original pool

it’s totally different than the fix if

no woman

ever survives the interview because

every woman

is either too witchy or

too meek

metrics are also super important for

another reason

to establish baselines and measure

progress if you use

evidence and metrics what we have found

is that small tweaks can have really big

effects

so we’ve worked with one company for

example

who asked us to look at their

performance evaluations

and when we did we found that

only 9.5 percent of the people of color

had leadership mentioned in their

performance

evaluations that was 70 points lower

than white women and that was super

important because

as you can imagine mentions of

leadership

predicted advancement and so

we worked with them to do two simple

things

first we redesigned the performance

evaluations

form and second we

help them develop a simple one-hour

workshop

that among other things projected actual

comments from the prior year’s

performance evaluations

and ask people a simple question

which of the five patterns of bias does

this represent

or is it no bias just doing that

we found in year two one hundred percent

of the people of color

had leadership mentioned in their

performance evaluations

you know at this company white women

they had a different

problem almost 20 percent had comments

in their performance evaluations

that they didn’t really want to make

partner this was a partnership

and we suspected you know the women

hadn’t actually said that

it was just assumptions and so in that

one hour workshop we told people hey

don’t say this unless you’ve actually

had a conversation

and then someone has told you they don’t

want to make a partner

in year two only one woman got that

comment

one woman in the entire company

and so what we find is that

we have helped over a hundred companies

actually make progress towards their

diversity goals

and there’s growing evidence that these

bias

interrupters work and the best thing

about them

is that they help every single group

so in this company i’ve been talking

about

um in year two people of color they got

wildly more

constructive feedback it was like a 30

percent jump

but white women they got more

constructive feedback too

and so did white men if you design your

systems

based on evidence it’s going to help

every single group

so the bottom line if you think about it

your systems and your culture they

reflect the people you’ve already hired

so if you want to replicate that

workforce

into the future definitely keep on doing

exactly what you’re doing but if you

don’t

if you actually want to make progress on

diversity

equity and inclusion what we call dei

my message to ceos is reassuring

you already know what to do use standard

business tools

start from the evidence gather metrics

to establish

baselines and measure progress and keep

at it

until you achieve your goals that’s

the new dei playbook

and it works thank you

you

[音乐

] 2018 年,

两名黑人男子去

星巴克等待业务伙伴,

但当他们要求使用洗手间时

,经理命令他们离开,他们

拒绝了,

他报警了,这段视频

在星巴克雪崩式的负面宣传中

传播开来 关闭全国所有商店

进行四个

小时的多样性培训,因此

咖啡师收到了带有提示的工作簿,

例如

是什么让我成为我和你,

并理解我们从

色盲到色彩勇敢的偏见,

这使得全国各地的报纸都成为

了目标,可以说这就是目标 每个人,

我们正在解决我们的多样性问题,

但假设是,你可以

通过

认真讨论我们的感受

来解决结构性种族主义问题

感觉是,

许多公司都感受到了

真正

实现其多元化目标的压力,但

他们

没有 e 做什么,那是因为

我们可能在多样性上花费了近 10 亿

美元,但是

多样性工业综合体的基本工具它们

根本

不起作用 一次性偏见培训 它不起作用的

原因很简单

做任何事情 一旦不会改变

公司的文化和其他基本

工具,比如员工资源

小组或女性的倡议

,如果问题出在

女性

和有色人种身上,它们就很好,但

如果公司面临围绕多样性的挑战,那就不是这样了

通常是因为微妙的而不是那么

微妙

的偏见形式不断

通过他们的基本业务

系统

通过绩效

评估

通过获得机会进行招聘,因此

我们需要停止尝试修复我们需要修复业务的女性

和有色人种

系统

,如果您考虑一下,这是

有道理的,

因为如果一家公司

面临销售挑战,

它不会通过举办一系列活动来应对

真诚地讨论我们

对销售的重视程度,并

为国家庆祝销售月安排节目,并

期望

销售有所改善,但

如果我们真的

有效地解决多样性问题,我们需要在多样性背景下做很多事情

企业用来解决

任何业务问题证据

和指标的工具和你知道的,我怀疑这

会让

许多 CEO 松了一口气,

他们觉得使用这些工具比

试图引导关于内部的深入对话要舒服得多

社会

不平等的运作

你知道第一步是让我们

了解偏见在实地是什么样的

,我和我的工作生活

法团队十多年来一直在研究偏见如何

日常工作场所互动中发挥作用,

以及我们 发现

是相同的偏见模式相同的

五种模式它们一遍又一遍地出现

所以这就是证据看起来像

我们所说的第一个模式证明我 t 再次,有些群体

必须比其他群体证明自己更多

这是由许多不同的

事情引发的 它是由

种族和性别 年龄

残疾 lgtbq 地位

甚至社会阶层引发的,因此例如一项研究

着眼于为

具有相同资格但

爱好不同的白人男性提供的回调

一份简历列出了帆船

和马球之类的内容,另

一份简历列出了诸如为第一

大学生提供咨询和乡村音乐之类的内容,

如果您可以相信的话,

马球

先生,当我们谈论特权时,他得到的回电次数是乡村音乐先生的 12 倍。

我们忘记了

阶级,第二种模式被称为

走钢丝,它反映

了这样一个事实,即某些

白人男性

只需要权威和

雄心勃勃才能成功,但女性

走钢丝,如果她们走钢丝,她们可能会被

视为粗暴。 ‘是权威

但不合格,如果他们不是,

并且经常表现自信的有色人种

被注销为

如果他们是黑人就生气,

如果他们是拉丁人,他们甚至会头脑发热;如果他们是亚裔美国人,有时会变得不

值得信赖。

我们称之为拔河的下一个模式

,它反映了这样一个事实,即有时

对一个群体的偏见会让人感到

内部冲突 例如,

如果只有一个女性或有色人种有空间,

那么完全

可以预测,

女性将

与其他女性

竞争激烈,而有色人种与

其他

有色人种竞争第四种偏见模式实际上

是最强的性别形式 被

称为母性墙的偏见

,它反映了这样的假设:

母亲没有承诺可能不

应该也没有能力思考怀孕

大脑,

所以母亲们经常发现

当她们休完产假回来时,她们必须再次证明自己

,如果她们这样做了,

她们 可能被视为坏母亲,因此被

视为

坏人并且不

喜欢最终模式由种族刻板印象组成,

因此亚裔美国人一次又一次地

报告说他们看到了 n 非常

适合技术技能,但缺乏

领导潜力

,我们的研究表明,黑人

专业

人士一次又一次地报告非常高度

的孤立和经常令人吃惊

的不尊重形式,

并且亚裔美国专业人士

可能被视为过于情绪化

讨论

在哪里你知道一个白人的行为

方式完全相同,这

将被视为

对事业充满热情

,因此我们发现白人女性

报告

四种偏见模式有色人种男性

也报告有色人种女性

报告所有 五个比例非常大

,在有色人种女性中,

黑人女性作为一个群体报告的偏见最大,

但最重要的是,如果白人男性是第一代专业人士

,那么白人男性

作为一个群体的经历与其他所有群体的经历都是不同的

或者 lgtbq

他可能会遇到偏见,但大多数

不是

这些偏见会产生非常严重的

负面影响,

你知道有大量的研究

这是一个故事,真正说明了

我们与一家公司合作的所有内容,我们

与一位女工程师交谈,

她发现

一位男同事的计算中有一个错误,

当她指出她违反了一项计算时,她指出了这一点

不成文的规则 好女人被认为

谦虚谦逊的好人,

不是一个任务驱动的专家,这就是为什么

男性专家在会议上发挥更大的

影响力,但你知道

她们实际上

比女性非专家发挥的影响力更小

,所以当这 工程师指出

了她告诉我们的错误计算,

他们对她

部门的反应非常

消极,以至于她说现在我

只是

笑得很开心,并且

通过放任性别偏见来为这家公司带来纸杯蛋糕

实际上是在危及

他们的使命

[音乐]

那么解决方案是什么 解决方案

是使用偏见中断

器 我的团队开发

的基于证据和指标驱动的新工具,

我刚刚告诉过你

很多证据指标也

非常重要,因为它们可以帮助您

找出

问题所在 被叫去面试,谁

在面试中幸存下来

,重要的原因是

因为

如果你有一个非多样化的原始池,

这与

没有女人

在面试中幸存下来的修复完全不同,因为

每个

女人要么太巫术,要么

太温顺

如果您使用

证据和指标,建立

基线和衡量进度的另一个原因

也是非常重要的

当我们进行评估时,我们发现

只有 9.5% 的有色人种

在他们的

绩效

评估中提到了领导力 比白人女性低 70 分

,这非常

重要,因为

正如你可以想象的那样,提到

领导力

预示着进步,所以

我们与他们合作做了两件简单的

事情,

首先我们重新设计了绩效

评估

表,其次我们

帮助他们开发了一个简单的 一个小时的

研讨会

,其中包括预测

上一年

绩效评估的实际评论,

并向人们提出一个简单的问题

,这代表了五种偏见模式中的哪一种,

或者仅仅是

我们在第二年发现的 100

% 有色人种

在他们的绩效评估中提到了领导力

你知道这家公司的白人女性

他们有不同的

问题 几乎 20%

在他们的绩效评估

中评论说他们真的不想成为

合作伙伴 这是一种合作关系

,我们怀疑你 知道这些女人

实际上并没有说

这只是假设,所以在

那一小时的工作中 我们告诉人们,

除非你真的

进行过交谈

,然后有人告诉你他们

不想在第二年成为合伙人

,否则不要这么说,整个公司只有一位女性得到了这样的

评论

我们发现,

我们已经帮助一百多家公司

在实现他们的多元化目标方面取得了进展,

并且越来越多的证据表明这些

偏见

干扰器是有效的,关于它们的最好的事情

是它们可以帮助每一个群体,

所以在这家公司我一直在谈论

大约在这一年,两个有色人种他们得到了

更具

建设性的反馈,这就像一个 30

% 的跳跃,

但是白人女性也得到了更有

建设性的反馈

,白人男性也是如此,如果你根据证据设计你的

系统

,这将帮助

每个群体

所以最重要的是,如果你考虑一下,

你的系统和文化

反映了你已经雇佣的人,

所以如果你想将这些劳动力复制

到未来,一定要保持 p 关于

做你正在做的事情,但如果你

不这样做,

如果你真的想在

多样性

公平和包容性方面取得进展,我们称之为 dei

我给 CEO 的信息是让你放心,

你已经知道该做什么使用标准

业务工具

从 证据收集指标

以建立

基线并衡量进度并

坚持下去,

直到您实现目标,这

是新的 dei 剧本

,它有效,谢谢