WEBVTT - Here's Why Your Company Is Still So White

0:00:00.440 --> 0:00:03.680
<v Speaker 1>Looking back at our thirty seven episodes of game Plan,

0:00:03.920 --> 0:00:08.959
<v Speaker 1>we've had sixteen white male guests, twenty two white female guests,

0:00:09.039 --> 0:00:14.240
<v Speaker 1>and five people of color. Today we're talking about diversity.

0:00:14.560 --> 0:00:29.120
<v Speaker 1>This is game Plan. Hi. I'm Rebecca Greenfield and I'm

0:00:29.120 --> 0:00:33.400
<v Speaker 1>Francesco Levie, and this week we're talking about workplace diversity,

0:00:33.520 --> 0:00:36.199
<v Speaker 1>which is something that a ton of companies struggle with

0:00:36.320 --> 0:00:38.920
<v Speaker 1>and therefore pour a ton of money into trying to fix.

0:00:39.080 --> 0:00:41.240
<v Speaker 1>Companies have come up with all different kinds of ways

0:00:41.520 --> 0:00:44.479
<v Speaker 1>to try to correct when they've been criticized for not

0:00:44.520 --> 0:00:47.599
<v Speaker 1>having diverse enough workforces. But the question is how well

0:00:47.640 --> 0:00:51.040
<v Speaker 1>it's working. It's not it's not working. And we've seen

0:00:51.080 --> 0:00:53.519
<v Speaker 1>this in the tech world where these companies put out

0:00:53.520 --> 0:00:55.959
<v Speaker 1>these transparency reports, which is what I did at the

0:00:56.000 --> 0:00:59.319
<v Speaker 1>top of the show, where they say like, look, we're

0:00:59.320 --> 0:01:01.320
<v Speaker 1>going to be honest about our numbers, and then that's

0:01:01.320 --> 0:01:04.319
<v Speaker 1>how we're going to fix it. And they'll have a

0:01:04.319 --> 0:01:07.880
<v Speaker 1>breakdown of the makeup of the workforce, and then they'll

0:01:07.880 --> 0:01:09.840
<v Speaker 1>pour a ton of money into all these initiatives and

0:01:09.840 --> 0:01:11.640
<v Speaker 1>then put out a report the next year that shows

0:01:11.680 --> 0:01:14.040
<v Speaker 1>that they've barely moved the needle. Yeah, it's interesting because

0:01:14.040 --> 0:01:16.600
<v Speaker 1>the transparency report seems like a good first step, like

0:01:16.680 --> 0:01:18.160
<v Speaker 1>we have to kind of come to grips with what

0:01:18.280 --> 0:01:20.880
<v Speaker 1>the problem is before we can start solving it. So

0:01:21.000 --> 0:01:23.839
<v Speaker 1>it seems like companies should be getting somewhere right putting

0:01:23.840 --> 0:01:27.399
<v Speaker 1>these transparency reports up. But as you say, whatever they're

0:01:27.440 --> 0:01:30.400
<v Speaker 1>doing as a second step doesn't seem to be exactly

0:01:30.440 --> 0:01:32.520
<v Speaker 1>the right thing. Yeah, it's kind of funny because the

0:01:32.560 --> 0:01:36.280
<v Speaker 1>press cycle is like, oh, applause your transparency report, and

0:01:36.280 --> 0:01:39.120
<v Speaker 1>then the next year you just open yourself up to like,

0:01:39.240 --> 0:01:41.880
<v Speaker 1>how not far this company has come right, or you

0:01:42.000 --> 0:01:45.640
<v Speaker 1>don't release the transparency report because your numbers are too embarrassing,

0:01:45.640 --> 0:01:49.200
<v Speaker 1>and then everybody asks why right, So what exactly our

0:01:49.200 --> 0:01:53.000
<v Speaker 1>companies doing well. One really in vogue thing is this

0:01:53.160 --> 0:01:59.639
<v Speaker 1>unconscious bias training, which didn't exist until fairly recently and

0:02:00.360 --> 0:02:03.320
<v Speaker 1>is a way of getting employees to like understand their

0:02:03.320 --> 0:02:06.680
<v Speaker 1>own biases that are inside of us all. So it's

0:02:06.720 --> 0:02:08.760
<v Speaker 1>not like you're a bad person. It's like we're all

0:02:08.800 --> 0:02:11.680
<v Speaker 1>bad people. It's not like weed out the racists at

0:02:11.680 --> 0:02:15.760
<v Speaker 1>your job. It's like except that everyone's vulnerable to having

0:02:15.760 --> 0:02:17.840
<v Speaker 1>a kind of prejudicial way of looking at things. And

0:02:17.880 --> 0:02:21.400
<v Speaker 1>then work towards solutions. Sounds great, could be issues? Well,

0:02:21.440 --> 0:02:23.400
<v Speaker 1>you and I took the test. Yes, there is a

0:02:23.400 --> 0:02:28.120
<v Speaker 1>test you can take online to evaluate your own unconscious bias. Yeah,

0:02:28.160 --> 0:02:29.840
<v Speaker 1>and it's like there are multiple different ones, and you

0:02:29.840 --> 0:02:31.560
<v Speaker 1>and I took the one that was about women in

0:02:31.600 --> 0:02:34.840
<v Speaker 1>the workplace and and if we are biased towards women

0:02:34.840 --> 0:02:36.520
<v Speaker 1>in the workplace, And we found out that we are

0:02:36.560 --> 0:02:39.040
<v Speaker 1>biased towards women in the work place. Yeah. The interesting

0:02:39.040 --> 0:02:41.240
<v Speaker 1>thing for me was I think I rated worse than

0:02:41.280 --> 0:02:45.000
<v Speaker 1>you did. I got like the most biased their stream.

0:02:45.040 --> 0:02:46.960
<v Speaker 1>And we talked about how we thought we would do,

0:02:47.160 --> 0:02:49.880
<v Speaker 1>and my sense was, like, I I can come to

0:02:49.960 --> 0:02:52.760
<v Speaker 1>terms with the fact that I have internalized bias like

0:02:52.840 --> 0:02:55.840
<v Speaker 1>everyone else. I'm not special, But in my heart of hearts,

0:02:56.040 --> 0:02:58.359
<v Speaker 1>I was kind of expecting your hoping that I would

0:02:58.400 --> 0:03:01.400
<v Speaker 1>do like a little bit better an average. Yeah, you were.

0:03:01.600 --> 0:03:03.919
<v Speaker 1>You were having trouble coming to terms of it, right,

0:03:03.960 --> 0:03:07.360
<v Speaker 1>And I was inclined to almost like dismiss the results

0:03:07.440 --> 0:03:10.840
<v Speaker 1>when it turned out that I was really biased, Like

0:03:10.840 --> 0:03:16.040
<v Speaker 1>I had a very strong association between ideas about careers

0:03:16.480 --> 0:03:20.320
<v Speaker 1>with men and ideas about family with women. So is

0:03:20.320 --> 0:03:23.080
<v Speaker 1>that the problem with those kinds of trainings, like you

0:03:23.120 --> 0:03:25.320
<v Speaker 1>go into it seemingly with an open mind, but then

0:03:25.480 --> 0:03:27.880
<v Speaker 1>you just believe what you want to believe about yourself

0:03:27.919 --> 0:03:30.080
<v Speaker 1>in the end. Anyway, I do think that is one

0:03:30.120 --> 0:03:33.640
<v Speaker 1>of the problems. I know that people don't like being

0:03:33.680 --> 0:03:36.600
<v Speaker 1>called out. And even though unconscious biased training tries to

0:03:36.640 --> 0:03:39.200
<v Speaker 1>be a little bit more like we mentioned, you know,

0:03:39.240 --> 0:03:41.720
<v Speaker 1>it's it's not you, it's the world we live in.

0:03:41.840 --> 0:03:44.400
<v Speaker 1>I think what happened to you is the computer was

0:03:44.440 --> 0:03:46.840
<v Speaker 1>telling you that you were strongly biased, and your reaction

0:03:46.960 --> 0:03:49.120
<v Speaker 1>was to say, no, I'm not right. That doesn't fit

0:03:49.160 --> 0:03:51.080
<v Speaker 1>with my idea of myself. So I'm just not going

0:03:51.160 --> 0:03:53.480
<v Speaker 1>to use that information. Yeah, I think people have an

0:03:53.520 --> 0:03:55.920
<v Speaker 1>aversion to being told to like sit down and be

0:03:55.920 --> 0:03:59.160
<v Speaker 1>better when they think that they're pretty good. Another thing

0:03:59.400 --> 0:04:01.960
<v Speaker 1>that people have found with unconscious bias training is that

0:04:02.200 --> 0:04:06.480
<v Speaker 1>research suggests that when you tell people how bias the workplaces,

0:04:06.520 --> 0:04:08.920
<v Speaker 1>they're more likely to just accept it, which I thought

0:04:08.960 --> 0:04:11.960
<v Speaker 1>was really fascinating. Yeah, it's like normalizes the bias. So

0:04:12.080 --> 0:04:14.360
<v Speaker 1>you're like, well, this is just the way things are,

0:04:14.480 --> 0:04:17.279
<v Speaker 1>and so maybe you become complacent. Yeah, which seems crazy

0:04:17.279 --> 0:04:22.080
<v Speaker 1>to me, but research it's science and science, so these

0:04:22.080 --> 0:04:23.800
<v Speaker 1>are some of the ways that companies are trying to

0:04:23.839 --> 0:04:25.920
<v Speaker 1>address the problem of diversity. And it seems like a

0:04:25.920 --> 0:04:29.480
<v Speaker 1>no brainer that diversity would be a thing that you want,

0:04:29.560 --> 0:04:31.920
<v Speaker 1>like a good thing in a company, But it does

0:04:31.960 --> 0:04:34.400
<v Speaker 1>seem like there have been a lot of cases made

0:04:34.480 --> 0:04:38.239
<v Speaker 1>for diversity that are beyond Just like diversity is good,

0:04:38.320 --> 0:04:41.760
<v Speaker 1>having people that look different from you is a plus

0:04:41.800 --> 0:04:44.360
<v Speaker 1>because it's a social good. Right. Oh yeah, I've talked

0:04:44.400 --> 0:04:47.960
<v Speaker 1>to many people who are like, well, why it doesn't

0:04:47.960 --> 0:04:51.240
<v Speaker 1>really matter, And there are a ton of studies and

0:04:51.279 --> 0:04:54.640
<v Speaker 1>research showing that when companies are made up of different

0:04:54.680 --> 0:04:57.239
<v Speaker 1>types of people with different ideas, who come from different backgrounds,

0:04:57.279 --> 0:04:59.479
<v Speaker 1>they have better bottom lines. I mean, we've talked about

0:04:59.480 --> 0:05:02.520
<v Speaker 1>this specific with women, but having women in leadership roles

0:05:02.800 --> 0:05:06.719
<v Speaker 1>leads to higher returns for companies specifically, which is crazy,

0:05:06.720 --> 0:05:08.880
<v Speaker 1>and the same is true for any type of diversity.

0:05:08.920 --> 0:05:12.479
<v Speaker 1>So that's like one way to counter this narrative of

0:05:12.960 --> 0:05:15.839
<v Speaker 1>people only care because they feel bad. Yeah, that to

0:05:15.880 --> 0:05:18.720
<v Speaker 1>me makes intuitive sense because the way you end up

0:05:18.720 --> 0:05:20.839
<v Speaker 1>with companies that aren't diverse to begin with is because

0:05:20.839 --> 0:05:23.440
<v Speaker 1>people are hiring people that look like them and remind

0:05:23.440 --> 0:05:25.960
<v Speaker 1>them of themselves. So when you have teams that are

0:05:26.000 --> 0:05:27.360
<v Speaker 1>made up of a bunch of different people with a

0:05:27.360 --> 0:05:30.840
<v Speaker 1>bunch of different perspectives. They're going to bring different ideas

0:05:30.880 --> 0:05:33.880
<v Speaker 1>to the table and challenge the things that you're comfortable with,

0:05:33.920 --> 0:05:36.920
<v Speaker 1>and that usually makes for better work. Yeah, we've seen

0:05:36.920 --> 0:05:41.159
<v Speaker 1>this with Twitter specifically. Twitter has a huge harassment problem.

0:05:41.200 --> 0:05:43.279
<v Speaker 1>I've been harassed on Twitter. We've had a guest who's

0:05:43.279 --> 0:05:44.880
<v Speaker 1>been her ass on Twitter, and I've talked a lot

0:05:44.920 --> 0:05:47.479
<v Speaker 1>of engineers who said there are simple ways Twitter could

0:05:47.520 --> 0:05:51.600
<v Speaker 1>have baked into their platform that would reduce harassment. But

0:05:51.640 --> 0:05:54.480
<v Speaker 1>because the people making the platform, we're all coming from

0:05:54.480 --> 0:05:56.719
<v Speaker 1>a place where they probably weren't going to be harassed,

0:05:56.720 --> 0:05:58.920
<v Speaker 1>they didn't think of it. And this happens with tech

0:05:58.960 --> 0:06:01.880
<v Speaker 1>products all the time. But it's kind of annoying that

0:06:01.920 --> 0:06:04.719
<v Speaker 1>we even have to make excuses for why we need

0:06:04.800 --> 0:06:07.800
<v Speaker 1>workplace diversity. Right. Think, companies need to know what it

0:06:07.800 --> 0:06:09.839
<v Speaker 1>means for their bottom line, right, Like, shouldn't it be

0:06:09.960 --> 0:06:14.960
<v Speaker 1>enough that keeping systematically marginalized people out of power and

0:06:15.240 --> 0:06:17.680
<v Speaker 1>money is bad and that we shouldn't do that and

0:06:17.880 --> 0:06:19.880
<v Speaker 1>we try to do better? Like shouldn't that be just

0:06:20.000 --> 0:06:21.640
<v Speaker 1>a nice goal to have? Yeah? It should? I mean

0:06:21.640 --> 0:06:23.320
<v Speaker 1>it does. It does feel a little bit gross to

0:06:23.360 --> 0:06:27.200
<v Speaker 1>have to make the case, make the money case for diversity.

0:06:27.480 --> 0:06:29.159
<v Speaker 1>So I see what you're saying there, But I also

0:06:29.200 --> 0:06:32.559
<v Speaker 1>think that the business case for diversity and the fact

0:06:32.560 --> 0:06:36.560
<v Speaker 1>that diversity is just a social good aren't totally mutually exclusive.

0:06:36.720 --> 0:06:39.719
<v Speaker 1>Like when you have more diverse teams often, I think

0:06:39.839 --> 0:06:42.120
<v Speaker 1>a thing that happens is that women and people of

0:06:42.160 --> 0:06:45.479
<v Speaker 1>color and people from all different diverse backgrounds and points

0:06:45.480 --> 0:06:48.800
<v Speaker 1>of view tend to have a better eye for seeing

0:06:48.839 --> 0:06:52.320
<v Speaker 1>the issues of those communities. And that's why, you know,

0:06:52.800 --> 0:06:56.000
<v Speaker 1>issues that are directly linked to discrimination and diversity, like

0:06:56.040 --> 0:06:59.440
<v Speaker 1>Twitter's harassment problem, are better addressed by people in those groups.

0:06:59.480 --> 0:07:02.560
<v Speaker 1>So there's at a bit of overlap to me to like, yeah,

0:07:02.560 --> 0:07:04.400
<v Speaker 1>there's a social justice thing, but also like the people

0:07:04.400 --> 0:07:07.839
<v Speaker 1>who are the social justice warriors are often the people

0:07:08.000 --> 0:07:11.480
<v Speaker 1>in the marginalized group. Yeah. Yeah, And I think companies,

0:07:12.000 --> 0:07:14.280
<v Speaker 1>I mean, if they don't know it, they they something

0:07:14.360 --> 0:07:16.840
<v Speaker 1>happens that makes them realize that, like they have some

0:07:16.920 --> 0:07:20.120
<v Speaker 1>big problem within their culture, like at Uber for example,

0:07:20.480 --> 0:07:23.640
<v Speaker 1>where there's been harassment or things like that, so it

0:07:23.680 --> 0:07:26.080
<v Speaker 1>forces them to reckon with it. But I still think

0:07:26.120 --> 0:07:28.840
<v Speaker 1>we're stuck with this problem of what to do. Yeah,

0:07:28.920 --> 0:07:31.880
<v Speaker 1>and as you say, there are these initiatives companies have

0:07:31.920 --> 0:07:34.400
<v Speaker 1>spent a lot of money on and then they've proven

0:07:34.440 --> 0:07:36.720
<v Speaker 1>not to work or they haven't worked as well as

0:07:36.760 --> 0:07:39.400
<v Speaker 1>people would like. And I think that that can easily

0:07:39.480 --> 0:07:42.880
<v Speaker 1>lead people to say, oh, well, I guess these programs

0:07:42.880 --> 0:07:45.400
<v Speaker 1>don't work, and sort of become complacent and not do

0:07:45.440 --> 0:07:50.200
<v Speaker 1>anything about it. But despite all of these issues and complications,

0:07:50.200 --> 0:07:53.720
<v Speaker 1>there are people trying to fix things in various different

0:07:53.760 --> 0:07:56.080
<v Speaker 1>ways and seeing some levels of success. And we're going

0:07:56.120 --> 0:08:03.600
<v Speaker 1>to talk about that with our guests today. Ellen Powe

0:08:03.680 --> 0:08:06.320
<v Speaker 1>was an investment partner at Kleiner Perkins, which she sued

0:08:06.360 --> 0:08:09.560
<v Speaker 1>for a gender discrimination she lost. After that, she went

0:08:09.560 --> 0:08:11.600
<v Speaker 1>on to be the CEO of Reddit, and now she's

0:08:11.600 --> 0:08:14.160
<v Speaker 1>an investment partner at k pre Capital and the Chief

0:08:14.160 --> 0:08:17.640
<v Speaker 1>Diversity and Inclusion Officer at the k Porse Center. She

0:08:17.680 --> 0:08:26.040
<v Speaker 1>also co founded projects include a diversity Consultancy. Thanks for

0:08:26.120 --> 0:08:29.720
<v Speaker 1>coming on, Allen, Thanks for having me. We've been talking

0:08:29.720 --> 0:08:32.640
<v Speaker 1>about bias in the workplace, and I was wondering when

0:08:33.000 --> 0:08:35.960
<v Speaker 1>did you first become aware of bias? When did it

0:08:36.000 --> 0:08:38.920
<v Speaker 1>become an issue for you in your career? I think

0:08:38.920 --> 0:08:44.120
<v Speaker 1>it's been a small issue that I focused on as

0:08:44.200 --> 0:08:48.000
<v Speaker 1>being a problem with individuals. So I think of it

0:08:48.040 --> 0:08:50.559
<v Speaker 1>as well, that one guy is being kind of a pain,

0:08:50.760 --> 0:08:53.640
<v Speaker 1>or that one person is really making it hard for

0:08:53.679 --> 0:08:57.640
<v Speaker 1>me to get my ideas across, or that one person

0:08:57.720 --> 0:09:00.920
<v Speaker 1>isn't listening to me, and I didn't think of it

0:09:01.000 --> 0:09:05.640
<v Speaker 1>as being um a broader issue. And tell I really

0:09:05.679 --> 0:09:10.600
<v Speaker 1>got into tech, and specifically into venture capital. Then once

0:09:10.640 --> 0:09:14.640
<v Speaker 1>I started seeing like, these patterns are not limited to individuals.

0:09:14.720 --> 0:09:17.640
<v Speaker 1>It's actually a lot of people and it's making it

0:09:17.720 --> 0:09:21.080
<v Speaker 1>impossible for me to do my job effectively, then you know,

0:09:21.120 --> 0:09:23.600
<v Speaker 1>I started thinking more about the bigger problems in tech

0:09:23.679 --> 0:09:26.800
<v Speaker 1>and the bigger problems in venture capital. Were you comparing

0:09:26.840 --> 0:09:29.160
<v Speaker 1>your experiences with other people? Like, what was it about

0:09:29.160 --> 0:09:31.000
<v Speaker 1>your experience in tech that made you realize it was

0:09:31.040 --> 0:09:35.520
<v Speaker 1>a broader pattern. It was comparing my experiences along with

0:09:35.640 --> 0:09:38.680
<v Speaker 1>other women at my firm to the experiences of the

0:09:38.720 --> 0:09:41.680
<v Speaker 1>men at the firm and seeing like this much bigger

0:09:41.720 --> 0:09:44.720
<v Speaker 1>pattern and it wasn't just about me, and it wasn't

0:09:44.760 --> 0:09:47.640
<v Speaker 1>just about one or two people making it hard for

0:09:47.679 --> 0:09:51.120
<v Speaker 1>me to be successful. It was about a much broader problem,

0:09:51.240 --> 0:09:54.120
<v Speaker 1>and it was hitting these other women, and it was,

0:09:54.840 --> 0:09:58.360
<v Speaker 1>you know, much more systemic. Can you give some examples

0:09:58.520 --> 0:10:02.280
<v Speaker 1>of the things that you faced, um, I think the

0:10:02.320 --> 0:10:08.560
<v Speaker 1>biggest one was um just seeing how the opportunities weren't

0:10:08.559 --> 0:10:11.679
<v Speaker 1>coming to the women, where we were limited in the

0:10:11.760 --> 0:10:15.120
<v Speaker 1>number of companies we could invest in and the men

0:10:15.160 --> 0:10:17.480
<v Speaker 1>were not. So there were rules that the women were

0:10:17.520 --> 0:10:20.520
<v Speaker 1>bound to and men were not bound to. How aware

0:10:20.720 --> 0:10:24.120
<v Speaker 1>do you think people should be about bias like this, Like,

0:10:24.160 --> 0:10:27.239
<v Speaker 1>if you're a woman, should you be looking for examples

0:10:27.280 --> 0:10:29.240
<v Speaker 1>where you might be treated unfairly or should you be

0:10:29.280 --> 0:10:30.880
<v Speaker 1>trying to kind of just do the best job you

0:10:30.920 --> 0:10:33.280
<v Speaker 1>can and hope you get treated fairly. I think you

0:10:33.360 --> 0:10:35.079
<v Speaker 1>do the best job you can and hope you get

0:10:35.080 --> 0:10:38.319
<v Speaker 1>treated fairly, But you should also be aware that you're

0:10:38.360 --> 0:10:40.800
<v Speaker 1>not always going to be treated fairly and spending a

0:10:40.800 --> 0:10:43.120
<v Speaker 1>lot of time trying to fix you know, are you

0:10:43.200 --> 0:10:46.320
<v Speaker 1>too loud or you too quiet? Are you too aggressive

0:10:46.440 --> 0:10:48.840
<v Speaker 1>or you're not speaking up enough? Are you getting your

0:10:48.840 --> 0:10:52.080
<v Speaker 1>seat at the table? Like trying to micro analyze every

0:10:52.080 --> 0:10:55.160
<v Speaker 1>one of your activities is probably not the best piece

0:10:55.200 --> 0:10:57.240
<v Speaker 1>of your time. Just do the best that you can

0:10:57.320 --> 0:11:00.240
<v Speaker 1>and push forward and try to you know, see what

0:11:00.400 --> 0:11:02.400
<v Speaker 1>is going around you, so you're not spending a lot

0:11:02.440 --> 0:11:04.960
<v Speaker 1>of time self diagnosing a problem that you have no

0:11:05.080 --> 0:11:07.720
<v Speaker 1>control over. Right, So being realistic is important so that

0:11:07.760 --> 0:11:09.840
<v Speaker 1>you know, these are things that I can change, and

0:11:09.880 --> 0:11:13.200
<v Speaker 1>these are things that are just in the culture that

0:11:13.320 --> 0:11:15.640
<v Speaker 1>I can't change and that I just have to deal

0:11:15.679 --> 0:11:18.240
<v Speaker 1>with hopefully will change over time, and you know, I'll

0:11:18.240 --> 0:11:21.360
<v Speaker 1>speak up and try to make a difference, but I'm

0:11:21.400 --> 0:11:23.319
<v Speaker 1>not going to beat myself over the head for not

0:11:23.520 --> 0:11:28.400
<v Speaker 1>having done everything perfectly because it's just not um my

0:11:28.480 --> 0:11:31.160
<v Speaker 1>fault all the time. Yeah, it's interesting. It seems like

0:11:31.240 --> 0:11:37.040
<v Speaker 1>you don't have the individualistic lean in perspective. And I

0:11:37.120 --> 0:11:39.400
<v Speaker 1>know that when you went to read it where you

0:11:39.440 --> 0:11:42.840
<v Speaker 1>were the CEO, you tried to change things from the inside.

0:11:42.880 --> 0:11:45.160
<v Speaker 1>So you got rid of salary negotiations which tend to

0:11:45.160 --> 0:11:49.319
<v Speaker 1>penalize women, and you instituted new harassment policies. Um, how

0:11:49.320 --> 0:11:52.400
<v Speaker 1>did trying to change the system work out? It was hard.

0:11:52.840 --> 0:11:55.800
<v Speaker 1>It's you know, even from the CEO level, you're trying

0:11:55.840 --> 0:11:58.720
<v Speaker 1>to change people's behavior. You're trying to change people's attitudes,

0:11:58.800 --> 0:12:01.480
<v Speaker 1>and it's very hard. But you have the tools and

0:12:01.559 --> 0:12:03.959
<v Speaker 1>you have the ability to do it. You know, if

0:12:03.960 --> 0:12:06.240
<v Speaker 1>somebody doesn't agree, or if somebody is going to continue

0:12:06.240 --> 0:12:09.040
<v Speaker 1>the bad behavior, you can fire them. So it was

0:12:09.640 --> 0:12:13.400
<v Speaker 1>nice from that perspective of having some more control, But

0:12:13.440 --> 0:12:16.240
<v Speaker 1>it is an effort, like it takes work, and you

0:12:16.320 --> 0:12:19.120
<v Speaker 1>have to have some hard conversations about what's appropriate and

0:12:19.200 --> 0:12:21.959
<v Speaker 1>what's inappropriate and then changing it is really hard because

0:12:21.960 --> 0:12:25.800
<v Speaker 1>it's like all the stuff that was allowed before, I'm

0:12:25.880 --> 0:12:28.559
<v Speaker 1>changing because it's actually not inclusive of all the people

0:12:28.559 --> 0:12:31.960
<v Speaker 1>on our teams. And for some people, you know, you

0:12:32.040 --> 0:12:35.400
<v Speaker 1>end up being the person who's you know, a kill joy,

0:12:35.440 --> 0:12:38.080
<v Speaker 1>as a buzz kill, the you know, the party pooper,

0:12:38.400 --> 0:12:40.480
<v Speaker 1>and you know, you have to just be willing to

0:12:40.520 --> 0:12:44.000
<v Speaker 1>take that like and understand, if I can make everybody

0:12:44.240 --> 0:12:46.920
<v Speaker 1>and feel included, I feel like they belong and do

0:12:47.000 --> 0:12:49.440
<v Speaker 1>their best work, it is better for everyone. It's better

0:12:49.440 --> 0:12:52.800
<v Speaker 1>for the company, it's better for UM, the industry, and

0:12:52.840 --> 0:12:55.720
<v Speaker 1>it's something that's going to have these long term gains.

0:12:55.760 --> 0:12:58.560
<v Speaker 1>And if I have to have a few uncomfortable conversations

0:12:58.559 --> 0:13:00.200
<v Speaker 1>to do that, it's worth it and us to just

0:13:00.280 --> 0:13:02.480
<v Speaker 1>do it. So that was you know that it was

0:13:02.559 --> 0:13:05.600
<v Speaker 1>very fulfilling to see so many changes UM. But there's

0:13:05.640 --> 0:13:08.120
<v Speaker 1>just so much work and it was hard, and not

0:13:08.200 --> 0:13:13.440
<v Speaker 1>everybody liked it. Why do you think companies have such

0:13:13.480 --> 0:13:19.120
<v Speaker 1>a hard time solving issues of diversity and bias? Oh?

0:13:19.200 --> 0:13:20.680
<v Speaker 1>I think there are a lot of reasons. I think

0:13:20.840 --> 0:13:25.280
<v Speaker 1>one big reason that makes it really hard is that

0:13:26.040 --> 0:13:30.240
<v Speaker 1>everybody wants to be somebody Almost everybody wants to be

0:13:30.320 --> 0:13:34.280
<v Speaker 1>somebody who is is inclusive. You know, they don't aspire

0:13:34.320 --> 0:13:36.760
<v Speaker 1>to be somebody who is biased against certain groups. They

0:13:36.800 --> 0:13:41.599
<v Speaker 1>don't aspire to be racist or homophobic or xenophobic. They

0:13:41.640 --> 0:13:45.240
<v Speaker 1>want to think of themselves as being inclusive and fair

0:13:45.520 --> 0:13:49.920
<v Speaker 1>and supportive of all these different groups. So when you

0:13:50.000 --> 0:13:54.560
<v Speaker 1>call out, hey, this policy actually is not inclusive, or

0:13:54.760 --> 0:13:58.600
<v Speaker 1>this is actually a really having a really bad impact

0:13:58.679 --> 0:14:01.959
<v Speaker 1>on a certain set of people, it interferes with their

0:14:02.040 --> 0:14:05.199
<v Speaker 1>view of themselves and it's not consistent, and so it's

0:14:05.280 --> 0:14:08.080
<v Speaker 1>very uncomfortable. And do you want to admit that you've

0:14:08.400 --> 0:14:12.000
<v Speaker 1>put in place some policies that are actually completely unfair. No,

0:14:12.320 --> 0:14:15.760
<v Speaker 1>So that becomes very uncomfortable for people to sit with

0:14:15.880 --> 0:14:17.679
<v Speaker 1>and to try to change because they don't want to

0:14:17.679 --> 0:14:21.760
<v Speaker 1>believe that there is this unfairness in their culture and

0:14:21.840 --> 0:14:24.800
<v Speaker 1>their company and their policies in themselves. And I think

0:14:24.800 --> 0:14:27.560
<v Speaker 1>the other part is it really takes change from the top.

0:14:28.080 --> 0:14:33.120
<v Speaker 1>It takes the CEO saying when there's that star engineer

0:14:33.160 --> 0:14:36.480
<v Speaker 1>who makes the inappropriate jokes, who has an inappropriate behavior,

0:14:37.280 --> 0:14:42.160
<v Speaker 1>I'm willing to fire them, even if it means the

0:14:42.160 --> 0:14:44.800
<v Speaker 1>product is going to shift later, or it's not going

0:14:44.840 --> 0:14:48.720
<v Speaker 1>to be as good, or I can't solve certain problems.

0:14:49.200 --> 0:14:51.080
<v Speaker 1>I'm going to take a stand and say that our

0:14:51.160 --> 0:14:54.240
<v Speaker 1>values are for inclusion, were anti harassment, where you know,

0:14:54.280 --> 0:15:00.200
<v Speaker 1>anti sexism or anti racialism, were anti um exclusion. And

0:15:00.240 --> 0:15:02.960
<v Speaker 1>I'm going to make that hard decision. And that comes

0:15:02.960 --> 0:15:06.160
<v Speaker 1>from the top, That comes from CEO. So getting the

0:15:06.200 --> 0:15:09.000
<v Speaker 1>CEO to engage and to solve these problems and to

0:15:09.080 --> 0:15:11.560
<v Speaker 1>make those hard decisions and the hard trade offs can

0:15:11.600 --> 0:15:14.760
<v Speaker 1>be really difficult. Yeah, we saw that play out at Uber.

0:15:15.600 --> 0:15:18.200
<v Speaker 1>Basically the CEO took a really long time for him

0:15:18.240 --> 0:15:20.360
<v Speaker 1>to come around, and the problems just that whereas the

0:15:20.440 --> 0:15:23.240
<v Speaker 1>worse it's hard. And then once it's baked into the

0:15:23.240 --> 0:15:27.120
<v Speaker 1>whole company, you can't just hire some more people or

0:15:27.520 --> 0:15:30.400
<v Speaker 1>fire a few people. It's you need to think about

0:15:30.440 --> 0:15:33.080
<v Speaker 1>how you're going to change, how you have a whole

0:15:33.120 --> 0:15:36.120
<v Speaker 1>hiring process, how you think about promoting people, how you

0:15:36.160 --> 0:15:40.080
<v Speaker 1>think about how opportunities are distributed across the team, how

0:15:40.160 --> 0:15:43.360
<v Speaker 1>you think about even firing people, or you know, how

0:15:43.400 --> 0:15:47.040
<v Speaker 1>people leave. It's across like the whole course of every

0:15:47.080 --> 0:15:50.160
<v Speaker 1>interaction that you have to make sure is fair and

0:15:50.200 --> 0:15:52.720
<v Speaker 1>giving everybody the same opportunities. And that's a lot of work.

0:15:53.600 --> 0:15:56.080
<v Speaker 1>So it doesn't sound like you think that, you know,

0:15:56.120 --> 0:15:59.720
<v Speaker 1>discrimination at work is just this intractable problem that no,

0:16:00.040 --> 0:16:03.200
<v Speaker 1>you can sort of figure out. It's more that people

0:16:04.000 --> 0:16:08.480
<v Speaker 1>lack the openness or the honesty with themselves to really

0:16:08.520 --> 0:16:09.960
<v Speaker 1>tackle it in the way that they need to. What

0:16:10.080 --> 0:16:14.000
<v Speaker 1>policies do you think work? Um, I think the policies

0:16:14.040 --> 0:16:16.760
<v Speaker 1>that are helpful are you know, making sure that you're

0:16:16.800 --> 0:16:19.920
<v Speaker 1>looking at you're not just taking everything cookie cutter from

0:16:19.960 --> 0:16:23.080
<v Speaker 1>these big companies that have been successful and trying to

0:16:23.120 --> 0:16:26.760
<v Speaker 1>repeat them, but really looking at, you know, eliminating forms

0:16:26.800 --> 0:16:30.840
<v Speaker 1>of bias by taking different technology tools to make sure

0:16:30.920 --> 0:16:34.760
<v Speaker 1>that you know you're not eliminating candidates based on names

0:16:34.880 --> 0:16:39.080
<v Speaker 1>or based on you know, assumed groups and bias in

0:16:39.280 --> 0:16:42.880
<v Speaker 1>how you think about those groups and giving up their

0:16:44.160 --> 0:16:47.240
<v Speaker 1>assessment of that candidate. That's related to the work that

0:16:47.280 --> 0:16:49.600
<v Speaker 1>they're going to be doing and the contributions are expected

0:16:49.640 --> 0:16:52.360
<v Speaker 1>to be making and not the relationships that they have

0:16:52.720 --> 0:16:55.640
<v Speaker 1>or the UM schools that they went to. So really

0:16:55.680 --> 0:16:59.040
<v Speaker 1>trying to create this fair experience across the board is,

0:16:59.440 --> 0:17:02.240
<v Speaker 1>you know, take changing your hiring policies. It takes changing

0:17:02.280 --> 0:17:05.760
<v Speaker 1>your interviewing practices or building new ones from scratch that

0:17:05.800 --> 0:17:08.520
<v Speaker 1>are different from the ones that we've used for ages,

0:17:08.680 --> 0:17:12.239
<v Speaker 1>the whiteboard, the team interview, all of the things that

0:17:12.320 --> 0:17:16.520
<v Speaker 1>have UM baked into some of these larger companies. We

0:17:16.600 --> 0:17:20.600
<v Speaker 1>need to think about resetting and forming new ones and

0:17:21.600 --> 0:17:23.479
<v Speaker 1>figuring out, like what are the innovations that we can

0:17:23.520 --> 0:17:27.280
<v Speaker 1>do and move away from these traditions that have kept

0:17:27.359 --> 0:17:32.520
<v Speaker 1>us at these low numbers of underrepresented groups and move

0:17:32.560 --> 0:17:34.600
<v Speaker 1>into this new world where eventually we're going to be

0:17:35.280 --> 0:17:39.040
<v Speaker 1>you know, half half under representation groups and they're no

0:17:39.080 --> 0:17:41.960
<v Speaker 1>longer going to be underrepresented in the population. So the

0:17:42.040 --> 0:17:46.119
<v Speaker 1>things that you mentioned like changing hiring practices, UM and

0:17:46.200 --> 0:17:50.080
<v Speaker 1>other forms of of waves of combating bias. I mean,

0:17:50.119 --> 0:17:52.320
<v Speaker 1>I know companies are pouring a lot of money into

0:17:52.400 --> 0:17:55.560
<v Speaker 1>doing these things already and a lot of it's not working.

0:17:55.960 --> 0:18:00.840
<v Speaker 1>So what is different about project includes approach I think

0:18:00.880 --> 0:18:05.000
<v Speaker 1>there's um three big differences. One, when we talk about inclusion,

0:18:05.200 --> 0:18:07.680
<v Speaker 1>we talk about inclusion of everybody. A lot of these

0:18:07.680 --> 0:18:11.960
<v Speaker 1>companies are focused on gender, and if they think they

0:18:12.000 --> 0:18:16.040
<v Speaker 1>can do gender, they'll do gender and maybe race UM,

0:18:16.119 --> 0:18:19.080
<v Speaker 1>but they're not thinking about inclusion across the board. When

0:18:19.119 --> 0:18:22.320
<v Speaker 1>we talk about inclusion, it's every single group. So we're

0:18:22.359 --> 0:18:26.280
<v Speaker 1>not looking at having an in group that's a little

0:18:26.280 --> 0:18:28.800
<v Speaker 1>bit bigger because we've added the women to it, or

0:18:28.880 --> 0:18:32.880
<v Speaker 1>we've added underrepresented people of color. It's we are trying

0:18:32.920 --> 0:18:35.960
<v Speaker 1>to come up with practices that help everybody. So when

0:18:36.359 --> 0:18:40.119
<v Speaker 1>we talk about making UM things inclusive, it means getting

0:18:40.160 --> 0:18:42.200
<v Speaker 1>rid of all the barriers that create an in group

0:18:42.280 --> 0:18:45.720
<v Speaker 1>versus an out group. If you have that dynamic where

0:18:45.800 --> 0:18:47.639
<v Speaker 1>all of a sudden you're adding one more group to

0:18:47.760 --> 0:18:50.800
<v Speaker 1>the in group, your culture is still exclusive, like you

0:18:50.880 --> 0:18:52.560
<v Speaker 1>still have an in group and an app group, and

0:18:52.600 --> 0:18:56.520
<v Speaker 1>that creates um. You know, that creates a culture of exclusion.

0:18:57.040 --> 0:18:59.320
<v Speaker 1>If you can include everyone, then you're really thinking about

0:18:59.400 --> 0:19:02.119
<v Speaker 1>how can I make every activity open, How can I

0:19:02.160 --> 0:19:05.119
<v Speaker 1>make sure that everybody feels like they belong, How can

0:19:05.160 --> 0:19:09.280
<v Speaker 1>I make sure that everybody is welcome. It's a it's

0:19:09.320 --> 0:19:12.359
<v Speaker 1>a different approach. The second one is it's comprehensive. A

0:19:12.359 --> 0:19:14.520
<v Speaker 1>lot of companies, you know, come in and they'll do

0:19:14.560 --> 0:19:19.240
<v Speaker 1>some training, and it's been shown that standalone training is

0:19:19.280 --> 0:19:23.360
<v Speaker 1>not effective and sometimes it's actually reinforcing of biases. So

0:19:23.760 --> 0:19:26.240
<v Speaker 1>our view is you need to think about the employee

0:19:26.280 --> 0:19:29.360
<v Speaker 1>life cycle and all the interactions that the employee has

0:19:29.440 --> 0:19:32.919
<v Speaker 1>across their work day and across their work experience to

0:19:33.040 --> 0:19:35.879
<v Speaker 1>make sure that all of those interactions are you know,

0:19:35.960 --> 0:19:40.200
<v Speaker 1>are are welcoming and inclusive, and you're not looking at

0:19:40.320 --> 0:19:42.760
<v Speaker 1>promoting people in a way that's biased. You're not looking

0:19:42.760 --> 0:19:45.600
<v Speaker 1>at UM salaries and paying people in a way that's biased.

0:19:45.600 --> 0:19:48.040
<v Speaker 1>You're trying to eliminate as much of that unfairness as

0:19:48.080 --> 0:19:50.680
<v Speaker 1>you can. And then the last part, which we think

0:19:50.760 --> 0:19:53.520
<v Speaker 1>is really important, which really distinguishes us from some of

0:19:53.520 --> 0:19:57.120
<v Speaker 1>these other UM programs, is UM it's got to be

0:19:57.320 --> 0:20:02.200
<v Speaker 1>measured and people have to be helped accountable for the

0:20:02.280 --> 0:20:06.040
<v Speaker 1>level of diversity on their teams and their organizations and

0:20:06.119 --> 0:20:11.400
<v Speaker 1>also how those teams feel, what the sentiments levels are.

0:20:11.440 --> 0:20:14.160
<v Speaker 1>And we have a survey that has eight different areas

0:20:14.160 --> 0:20:17.479
<v Speaker 1>of sentiment that we examined to see whether you know

0:20:17.520 --> 0:20:21.000
<v Speaker 1>each group is satisfied with how decisions are made, or

0:20:21.040 --> 0:20:25.359
<v Speaker 1>satisfied with opportunities, or satisfied with how they're treated and

0:20:25.400 --> 0:20:29.800
<v Speaker 1>how other groups are treated. So it's a very UM

0:20:30.040 --> 0:20:34.520
<v Speaker 1>data based approach to making sure that every group feels

0:20:34.560 --> 0:20:37.600
<v Speaker 1>included and if there is a problem, figuring out what

0:20:37.640 --> 0:20:40.840
<v Speaker 1>group doesn't feel included and exactly why, so that you

0:20:40.920 --> 0:20:44.479
<v Speaker 1>have something very specific to UM look at. We do

0:20:44.600 --> 0:20:48.399
<v Speaker 1>have a set of eighties seven I think recommendations on

0:20:48.400 --> 0:20:51.200
<v Speaker 1>our website and those companies that are still at the

0:20:51.240 --> 0:20:53.760
<v Speaker 1>really early stages can go through and read all of

0:20:53.760 --> 0:20:55.879
<v Speaker 1>those recommendations and figure out which ones they want to

0:20:55.880 --> 0:20:59.359
<v Speaker 1>start out with. But this comprehensive nature and comprehensive approach

0:20:59.400 --> 0:21:02.879
<v Speaker 1>gives you a lot of opportunities to start an experiment

0:21:03.040 --> 0:21:06.320
<v Speaker 1>and move forward. So those are eight seven recommendations for

0:21:06.400 --> 0:21:09.959
<v Speaker 1>ways to have more diversity. Yeah, and make sure that

0:21:10.000 --> 0:21:12.800
<v Speaker 1>you're inclusive. So when you have an event, like what

0:21:12.920 --> 0:21:15.600
<v Speaker 1>are things that you can do to make sure that

0:21:15.640 --> 0:21:18.399
<v Speaker 1>people feel included. Don't have all of your events at

0:21:18.400 --> 0:21:21.080
<v Speaker 1>the same time on the same day. Maybe you have

0:21:21.200 --> 0:21:24.119
<v Speaker 1>parents who can't come after work, so maybe you do

0:21:24.200 --> 0:21:26.800
<v Speaker 1>something in the morning or during the day at lunch,

0:21:27.240 --> 0:21:31.120
<v Speaker 1>you know, so just small things that that um make

0:21:31.200 --> 0:21:35.119
<v Speaker 1>a difference, and also large things like you know, bring

0:21:35.119 --> 0:21:38.840
<v Speaker 1>in UM you know, bring in a better way of

0:21:38.920 --> 0:21:42.720
<v Speaker 1>dealing with harassment complaints. You know, So a wide range

0:21:42.760 --> 0:21:45.960
<v Speaker 1>across every activity that we could think of where you

0:21:45.960 --> 0:21:50.000
<v Speaker 1>could have an impact by making a change that might

0:21:50.119 --> 0:21:54.119
<v Speaker 1>help make people feel more included. What are some of

0:21:54.160 --> 0:21:57.680
<v Speaker 1>the changes you've seen or the practices at these companies

0:21:57.680 --> 0:21:59.919
<v Speaker 1>that are kind of well on their way to becoming

0:22:00.040 --> 0:22:02.239
<v Speaker 1>more diverse and inclusive. What are some of those things

0:22:02.320 --> 0:22:04.919
<v Speaker 1>that packed the biggest punch like that that work best.

0:22:06.400 --> 0:22:08.720
<v Speaker 1>It's hard to say because there's not Everybody wants like,

0:22:08.760 --> 0:22:11.320
<v Speaker 1>what are the three things? And there isn't. It's really

0:22:11.600 --> 0:22:16.080
<v Speaker 1>there probably ten or fifteen things. I think there's certain

0:22:16.080 --> 0:22:19.680
<v Speaker 1>things that we know don't work. So having the standalone

0:22:20.240 --> 0:22:24.000
<v Speaker 1>I'm going to do some diversity or biased training and

0:22:24.240 --> 0:22:26.560
<v Speaker 1>I hope that's a silver bullet that's alsold my problems

0:22:26.680 --> 0:22:30.560
<v Speaker 1>that does not work. Having data helps a lot, so

0:22:30.600 --> 0:22:33.200
<v Speaker 1>that you're actually tracking and seeing where things are going

0:22:33.200 --> 0:22:38.120
<v Speaker 1>and seeing is it that I'm hiring people and they're

0:22:38.760 --> 0:22:42.840
<v Speaker 1>leaving because they don't get promoted, or they're leaving because

0:22:42.880 --> 0:22:48.040
<v Speaker 1>they um aren't being welcomed right from the bat, like,

0:22:48.080 --> 0:22:50.800
<v Speaker 1>where are the people leaving? Why are my numbers low?

0:22:51.160 --> 0:22:53.560
<v Speaker 1>It's more than just bringing in a lot of people

0:22:53.560 --> 0:22:57.440
<v Speaker 1>and just hiring them in and hoping that they swim right.

0:22:57.560 --> 0:23:00.960
<v Speaker 1>It's thinking across the entire organization. What's more, what's not working,

0:23:01.040 --> 0:23:04.879
<v Speaker 1>and how do you make things better? I think having

0:23:05.320 --> 0:23:09.760
<v Speaker 1>I think one of the problems that has compounded low

0:23:09.840 --> 0:23:14.439
<v Speaker 1>diversity demographics at certain companies is the referral programs. Often

0:23:14.920 --> 0:23:18.720
<v Speaker 1>companies will have a program where they give employees a

0:23:18.800 --> 0:23:22.760
<v Speaker 1>bonus maybe five thousand, maybe ten dollars if one of

0:23:22.840 --> 0:23:27.000
<v Speaker 1>their recommended people gets hired. So, you know, I'm an

0:23:27.040 --> 0:23:29.800
<v Speaker 1>engineer at a company, I'm excited because I can bring

0:23:29.840 --> 0:23:32.399
<v Speaker 1>in my friends and get some money for it. And

0:23:32.480 --> 0:23:35.040
<v Speaker 1>you end up bringing more of the same people, people

0:23:35.040 --> 0:23:38.480
<v Speaker 1>who want the same schools. You end up baking in

0:23:39.359 --> 0:23:42.679
<v Speaker 1>a certain type of person, and it gets worse and

0:23:42.720 --> 0:23:46.639
<v Speaker 1>worse as those people bring in more of their like

0:23:46.800 --> 0:23:50.080
<v Speaker 1>minded and like background friends, and it becomes all of

0:23:50.080 --> 0:23:51.640
<v Speaker 1>a sudden you have a culture and it's all people

0:23:51.640 --> 0:23:53.480
<v Speaker 1>from the same school or it's all people from the

0:23:53.480 --> 0:23:59.639
<v Speaker 1>same demographic. Um dropping that referral bonus or adding a

0:23:59.760 --> 0:24:02.639
<v Speaker 1>net for bonus for bringing in people from different backgrounds

0:24:02.720 --> 0:24:07.000
<v Speaker 1>can can help a lot. UM The interview process is

0:24:07.040 --> 0:24:11.760
<v Speaker 1>a huge problem because often they're very specific. There might

0:24:11.760 --> 0:24:15.679
<v Speaker 1>be some very specific, kind of almost gimmicky questions that

0:24:15.760 --> 0:24:18.240
<v Speaker 1>get asked, kind of trick questions, and if you have

0:24:18.280 --> 0:24:20.240
<v Speaker 1>a friend in the company who can warn you about

0:24:20.280 --> 0:24:22.399
<v Speaker 1>it and help you prep, you can be at a

0:24:22.600 --> 0:24:25.920
<v Speaker 1>very strong advantage compared to you know, somebody who doesn't

0:24:25.920 --> 0:24:27.639
<v Speaker 1>have a friend at the company. So again you end

0:24:27.720 --> 0:24:30.480
<v Speaker 1>up making in people who know people at the company

0:24:30.520 --> 0:24:33.800
<v Speaker 1>and who are potentially very similar, and you don't get

0:24:33.800 --> 0:24:36.840
<v Speaker 1>the people from outside who are coming in cold and

0:24:36.920 --> 0:24:39.720
<v Speaker 1>don't have the benefit of knowing what the tricks are

0:24:39.760 --> 0:24:43.760
<v Speaker 1>to passing the interview process. It sounds like the reason

0:24:43.840 --> 0:24:47.560
<v Speaker 1>diversity is so hard to tackle is that around every

0:24:47.560 --> 0:24:51.280
<v Speaker 1>corner there is something that's going to buyas one group

0:24:51.320 --> 0:24:55.119
<v Speaker 1>over another. UM and Francesca and I are dealing with

0:24:55.200 --> 0:24:58.880
<v Speaker 1>us on our show. We UM think about it a lot,

0:24:58.920 --> 0:25:03.800
<v Speaker 1>and we try to have diverse guests, but we aren't succeeding.

0:25:04.200 --> 0:25:07.440
<v Speaker 1>So we're wondering what you think we should do two

0:25:08.359 --> 0:25:11.480
<v Speaker 1>tackle our own biases. I think it's good that you're

0:25:11.480 --> 0:25:15.080
<v Speaker 1>bringing up the problem, right, it's a problem that is

0:25:15.520 --> 0:25:17.960
<v Speaker 1>one that needs to be recognized in order to change,

0:25:17.960 --> 0:25:19.720
<v Speaker 1>and that you're bringing it up on your show. Hopefully

0:25:19.800 --> 0:25:22.840
<v Speaker 1>people are appreciable the fact that you are trying and

0:25:22.880 --> 0:25:27.440
<v Speaker 1>that you're interesting. It's interested in um bringing on people

0:25:27.440 --> 0:25:31.280
<v Speaker 1>from different backgrounds and hopefully they'll sign up. I don't

0:25:31.280 --> 0:25:33.800
<v Speaker 1>know if you know you you have an easy way

0:25:33.840 --> 0:25:38.960
<v Speaker 1>of people volunteering to participate, but that's a great way

0:25:38.960 --> 0:25:40.840
<v Speaker 1>of doing it, you know. And I will tell the

0:25:40.880 --> 0:25:42.840
<v Speaker 1>people that I know that hopefully this will be a

0:25:42.840 --> 0:25:47.080
<v Speaker 1>great podcast and UM and it's a great experience, and

0:25:47.119 --> 0:25:50.040
<v Speaker 1>they should, you know, try to try to participate. It's

0:25:50.080 --> 0:25:55.040
<v Speaker 1>asking the people that you know, UM, who else from

0:25:55.200 --> 0:25:58.120
<v Speaker 1>different backgrounds would be good guests, and then going out

0:25:58.119 --> 0:26:01.679
<v Speaker 1>and trying to get them onto the show and really

0:26:02.000 --> 0:26:04.120
<v Speaker 1>kind of making that call out to people and letting

0:26:04.160 --> 0:26:08.480
<v Speaker 1>them know that you're interested and open and that it's

0:26:08.520 --> 0:26:12.320
<v Speaker 1>a place that they are going to be valued. Yeah,

0:26:12.359 --> 0:26:15.679
<v Speaker 1>we do have a platform for for making those requests.

0:26:15.800 --> 0:26:18.040
<v Speaker 1>And I think it's interesting because Beck and I have

0:26:18.119 --> 0:26:21.040
<v Speaker 1>talked about it and a lot of the people who

0:26:21.080 --> 0:26:23.679
<v Speaker 1>are in the the field that we tend to interview.

0:26:23.800 --> 0:26:27.280
<v Speaker 1>You know, we talk about workplace culture and and and

0:26:27.920 --> 0:26:30.960
<v Speaker 1>social science around the office and behavior at work, and

0:26:30.960 --> 0:26:33.720
<v Speaker 1>a lot of people just happened to be white men.

0:26:33.880 --> 0:26:36.920
<v Speaker 1>So finding more diverse guests kind of means thinking a

0:26:36.920 --> 0:26:41.240
<v Speaker 1>little more creatively about how, you know, what we think

0:26:41.280 --> 0:26:44.040
<v Speaker 1>makes a good guest, not just you know, maybe someone

0:26:44.040 --> 0:26:47.680
<v Speaker 1>who fits the mold of expert in this specific topic

0:26:47.720 --> 0:26:49.280
<v Speaker 1>we want to talk about. And I think that probably

0:26:49.359 --> 0:26:53.280
<v Speaker 1>mirrors the case for a lot of companies, like they

0:26:53.280 --> 0:26:55.879
<v Speaker 1>have to they have to broaden their thinking about what

0:26:55.960 --> 0:26:59.000
<v Speaker 1>makes a good employee, Um, what the metrics are and

0:26:59.040 --> 0:27:02.159
<v Speaker 1>what the goals are there looking for? Right, Yeah, And

0:27:02.200 --> 0:27:04.959
<v Speaker 1>I think it's a huge opportunity for creativity. So you

0:27:05.040 --> 0:27:08.960
<v Speaker 1>could look through medium, you could look through Twitter, find

0:27:09.000 --> 0:27:12.040
<v Speaker 1>some people who are really interesting and then decide, well,

0:27:12.600 --> 0:27:14.280
<v Speaker 1>this is something that they're doing that we would never

0:27:14.400 --> 0:27:16.360
<v Speaker 1>thought about, but it would be great to have them

0:27:16.359 --> 0:27:19.440
<v Speaker 1>come and talk on the show. It can expand your

0:27:19.640 --> 0:27:22.159
<v Speaker 1>range of what you're looking at in a way that

0:27:22.200 --> 0:27:25.560
<v Speaker 1>can be really additive. There was a search I was

0:27:25.600 --> 0:27:30.000
<v Speaker 1>doing for a CEO maybe eight years ago where you know,

0:27:30.040 --> 0:27:34.280
<v Speaker 1>I we had hired a recruiter and I asked him

0:27:34.320 --> 0:27:37.320
<v Speaker 1>to make sure that there was there were people from

0:27:37.359 --> 0:27:41.239
<v Speaker 1>diverse backgrounds in the candidate pool. He went out and

0:27:41.280 --> 0:27:45.160
<v Speaker 1>found some new candidates, and you know, one of them

0:27:45.359 --> 0:27:47.400
<v Speaker 1>was a woman who you know, ended up not being

0:27:47.400 --> 0:27:50.159
<v Speaker 1>the perfect fit for being a CEO, but ended up

0:27:50.160 --> 0:27:55.720
<v Speaker 1>being a great UM entrepreneur and residence for Kinor Perkins.

0:27:55.760 --> 0:27:59.240
<v Speaker 1>So we were able to bring in different candidates from

0:27:59.280 --> 0:28:01.600
<v Speaker 1>a pool that we didn't have seen otherwise, you know.

0:28:01.760 --> 0:28:04.320
<v Speaker 1>And then we also we found somebody from that company

0:28:04.320 --> 0:28:08.480
<v Speaker 1>who ended up being the CEO of the company we're

0:28:08.480 --> 0:28:11.120
<v Speaker 1>doing the soarce for. So we found somebody from the

0:28:11.160 --> 0:28:15.400
<v Speaker 1>same company as the candidate who was a woman UM

0:28:15.440 --> 0:28:18.080
<v Speaker 1>that end up being a great candidate and end up

0:28:18.080 --> 0:28:21.280
<v Speaker 1>being the person who we made CEO. But we probably

0:28:21.320 --> 0:28:23.680
<v Speaker 1>wouldn't have looked at that company if we hadn't expanded

0:28:23.680 --> 0:28:28.400
<v Speaker 1>the search. That's definitely been um our experience when finding

0:28:29.000 --> 0:28:33.360
<v Speaker 1>the more diverse guests. It's finding them through people who

0:28:33.359 --> 0:28:35.919
<v Speaker 1>were guests that we really liked, who weren't exactly in

0:28:35.920 --> 0:28:38.320
<v Speaker 1>the box in the mold. UM. So, I think that's

0:28:38.320 --> 0:28:40.400
<v Speaker 1>really good advice. And this is this is all really

0:28:40.400 --> 0:28:42.200
<v Speaker 1>good advice for us, And thank you so much for

0:28:42.240 --> 0:28:45.160
<v Speaker 1>coming on and talking to us and hopefully we can

0:28:45.160 --> 0:28:47.360
<v Speaker 1>all do better. Yeah, thank you for having me. I

0:28:47.400 --> 0:29:01.200
<v Speaker 1>appreciate it. Well, the takeaway for diversity from Ellen seems

0:29:01.240 --> 0:29:03.680
<v Speaker 1>to be that you have to do a million zillion things.

0:29:03.920 --> 0:29:06.360
<v Speaker 1>There's no like quick fix. Yeah. She was really reluctant

0:29:06.360 --> 0:29:09.400
<v Speaker 1>to give us a silver bullet solution, which I respected.

0:29:09.440 --> 0:29:12.000
<v Speaker 1>I think that that's the that's the recipe for frustration

0:29:12.040 --> 0:29:14.239
<v Speaker 1>for anyone trying to solve this problem. And I can

0:29:14.280 --> 0:29:18.040
<v Speaker 1>see why companies would hate that because because you send

0:29:18.080 --> 0:29:21.880
<v Speaker 1>me like unconscious bias. Okay, we did it, we fixed diversity, right,

0:29:21.960 --> 0:29:24.200
<v Speaker 1>And you spend all this money on a program that

0:29:24.400 --> 0:29:26.880
<v Speaker 1>somebody guaranteed you was going to fix all of your problems,

0:29:26.960 --> 0:29:30.000
<v Speaker 1>and then it didn't. So you're like out of options,

0:29:30.000 --> 0:29:31.720
<v Speaker 1>you're out of ideas. You don't move on to the

0:29:31.760 --> 0:29:33.800
<v Speaker 1>next step. And it would be a little hypocritical of

0:29:33.840 --> 0:29:37.320
<v Speaker 1>us to hold companies accountable for giving lip service to

0:29:37.360 --> 0:29:39.880
<v Speaker 1>diversity without doing anything about it if we didn't actually

0:29:39.920 --> 0:29:44.200
<v Speaker 1>commit to doing something about our diversity problem. Yeah. So

0:29:44.440 --> 0:29:46.440
<v Speaker 1>there were a lot of pieces of advice that she

0:29:46.560 --> 0:29:49.440
<v Speaker 1>gave us that I thought were really good. One thing

0:29:49.480 --> 0:29:51.560
<v Speaker 1>I think we can do right now is just say

0:29:51.800 --> 0:29:55.120
<v Speaker 1>we want to do this. Yeah, if you, as a listener,

0:29:55.480 --> 0:29:58.480
<v Speaker 1>have an idea for a topic or a guest or

0:29:58.560 --> 0:30:01.120
<v Speaker 1>something that maybe you would not automatically expect to hear

0:30:01.160 --> 0:30:04.640
<v Speaker 1>on our podcast, but would open us up to different

0:30:04.640 --> 0:30:08.800
<v Speaker 1>points of view, please tweet us, call us, email us whatever. Yeah,

0:30:08.800 --> 0:30:10.680
<v Speaker 1>so that's one thing we can do. Also, she said

0:30:10.760 --> 0:30:14.600
<v Speaker 1>to like ask people on your show you've had if

0:30:14.640 --> 0:30:16.960
<v Speaker 1>they know people, which I've I've done that. Yeah, we've

0:30:17.000 --> 0:30:18.520
<v Speaker 1>done a little bit of that. And I think that

0:30:18.880 --> 0:30:20.640
<v Speaker 1>some of the things she told us for things we know, like,

0:30:20.720 --> 0:30:23.800
<v Speaker 1>we know that it takes going outside of our comfort zone.

0:30:23.800 --> 0:30:26.800
<v Speaker 1>It takes you know, reaching out to people that are

0:30:26.800 --> 0:30:29.560
<v Speaker 1>in communities we don't always deal with and asking them

0:30:29.560 --> 0:30:33.160
<v Speaker 1>for their recommendations. And this is such a common excuse.

0:30:33.280 --> 0:30:36.080
<v Speaker 1>But one of the reasons we probably don't do it

0:30:36.360 --> 0:30:39.080
<v Speaker 1>enough is because we just like feel this deadline pressure

0:30:39.120 --> 0:30:42.080
<v Speaker 1>to get stuff done slightly harder, and it's slightly hard

0:30:42.120 --> 0:30:44.160
<v Speaker 1>you don't do it. It's not even that much harder,

0:30:44.680 --> 0:30:48.360
<v Speaker 1>it's just harder enough that if there's an easier way

0:30:48.400 --> 0:30:51.400
<v Speaker 1>to do it, like sometimes it'll fall by the wayside.

0:30:51.840 --> 0:30:54.880
<v Speaker 1>So we'll make a commitment to do better. Yeah, we're

0:30:54.920 --> 0:31:00.640
<v Speaker 1>not just a transparency report, and that's time for happy

0:31:00.640 --> 0:31:07.040
<v Speaker 1>big takes, happy fake takes. We have a half bake

0:31:07.120 --> 0:31:09.800
<v Speaker 1>take from a caller. You two can call into our

0:31:09.880 --> 0:31:13.160
<v Speaker 1>hotline at two on two six seven zero one six

0:31:13.160 --> 0:31:15.720
<v Speaker 1>six And if you just want more of me and Francesca,

0:31:15.800 --> 0:31:18.480
<v Speaker 1>we have a newsletter. You can find it at Bloomberg

0:31:18.480 --> 0:31:22.520
<v Speaker 1>dot com slash newsletters. Hi, my name is Chris. My

0:31:22.720 --> 0:31:26.840
<v Speaker 1>half bake take is I think daylight savings time should

0:31:26.880 --> 0:31:31.400
<v Speaker 1>be permanent. I like having sunlight after I get out

0:31:31.400 --> 0:31:34.120
<v Speaker 1>of work to go play with my friends or go

0:31:34.160 --> 0:31:38.240
<v Speaker 1>out and eat, and I just think it should always

0:31:38.240 --> 0:31:42.680
<v Speaker 1>be daylight savings time. Thanks, I'm I'm bored with us.

0:31:42.680 --> 0:31:46.160
<v Speaker 1>I love sunshine, yes, absolutely, Um, why do we make

0:31:46.200 --> 0:31:49.960
<v Speaker 1>the day's shorter as the year gets more depressing anywhere horrible?

0:31:50.120 --> 0:31:53.840
<v Speaker 1>Like you go from a depressing for thirty sunset sometime

0:31:53.880 --> 0:31:58.680
<v Speaker 1>in like you know, the late fall, to a depressing

0:31:58.760 --> 0:32:01.000
<v Speaker 1>three thirty sunset. I have a half big take on

0:32:01.040 --> 0:32:03.960
<v Speaker 1>his half big take is that daylight savings time, when

0:32:04.000 --> 0:32:05.880
<v Speaker 1>we get to the good times, should be a holiday.

0:32:06.200 --> 0:32:07.800
<v Speaker 1>I think it's a Sunday, but I think it's like

0:32:07.840 --> 0:32:10.880
<v Speaker 1>we should all celebrate it like it's so exciting that

0:32:10.920 --> 0:32:13.160
<v Speaker 1>it should be like have like a two am like

0:32:14.600 --> 0:32:18.800
<v Speaker 1>exactly like that good happy Take me anyway, Francisca, what's

0:32:18.800 --> 0:32:21.840
<v Speaker 1>your not really great idea that you want to share

0:32:21.880 --> 0:32:24.000
<v Speaker 1>with us? This sounds a little less sunny, but I

0:32:24.040 --> 0:32:27.600
<v Speaker 1>want to put an end to an insidious business practice

0:32:27.640 --> 0:32:31.640
<v Speaker 1>that I hate, which is when, um, a certain type

0:32:31.840 --> 0:32:37.120
<v Speaker 1>of savvy people person in a white collar work environment

0:32:37.400 --> 0:32:40.160
<v Speaker 1>just like says your name back to you a million times.

0:32:40.360 --> 0:32:44.160
<v Speaker 1>Do you know what I mean, Rebecca, Yes, Francisca, that's

0:32:44.200 --> 0:32:47.120
<v Speaker 1>a really good point, Rebecca. Yeah. They clearly read some

0:32:47.160 --> 0:32:50.480
<v Speaker 1>sort of blog post about like when friends at work.

0:32:50.720 --> 0:32:52.840
<v Speaker 1>It's like, I'm onto you. I know you went to

0:32:52.880 --> 0:32:56.320
<v Speaker 1>some management training that said that you would make people

0:32:56.440 --> 0:32:59.240
<v Speaker 1>feel more special and more connected with you if you

0:32:59.240 --> 0:33:01.840
<v Speaker 1>said their name and like you'd validate them. And it's like, no,

0:33:01.920 --> 0:33:04.040
<v Speaker 1>you're just reminding me what my name is. I hate it.

0:33:04.600 --> 0:33:07.840
<v Speaker 1>You sound phony. Although an amendment to that is I

0:33:07.880 --> 0:33:10.120
<v Speaker 1>do think it's a really good mnemonic device to say

0:33:10.160 --> 0:33:11.800
<v Speaker 1>somebody's name back to them when you meet them. I

0:33:11.840 --> 0:33:15.440
<v Speaker 1>always do that. Nice to meet you, Rebecca. Is it

0:33:15.440 --> 0:33:18.880
<v Speaker 1>it is? My friends called me a Becca? I'll always

0:33:18.880 --> 0:33:21.080
<v Speaker 1>remember that because it came out of my mouth. Becca,

0:33:21.200 --> 0:33:24.280
<v Speaker 1>what is your thought? That isn't enough of a thought

0:33:24.360 --> 0:33:26.280
<v Speaker 1>to put into an article, but you'd like to talk

0:33:26.280 --> 0:33:29.560
<v Speaker 1>about today. I think it's lame when people pretend to

0:33:29.680 --> 0:33:31.800
<v Speaker 1>not be into their birthdays. I think it's like a

0:33:31.880 --> 0:33:34.360
<v Speaker 1>cool thing in my cohort, Like I'm just I'm not

0:33:34.400 --> 0:33:38.520
<v Speaker 1>really going to do anything this year. Yeah, birthdays getting older. Yeah,

0:33:38.560 --> 0:33:40.600
<v Speaker 1>And it's like, well, your friends want to celebrate with you,

0:33:40.680 --> 0:33:43.320
<v Speaker 1>and it's an excuse to do something fun. I totally

0:33:43.400 --> 0:33:47.200
<v Speaker 1>agree birthdays, Like how do you get jaded about birthdays?

0:33:47.240 --> 0:33:50.240
<v Speaker 1>I think there must be people who legitimately don't like them,

0:33:50.280 --> 0:33:53.000
<v Speaker 1>but they're such an exciting thing when you're little and

0:33:53.040 --> 0:33:55.400
<v Speaker 1>it kind of holds over into adulthood. And why shouldn't

0:33:55.400 --> 0:33:57.320
<v Speaker 1>you like have this built an excuse to celebrate. I

0:33:57.360 --> 0:33:59.959
<v Speaker 1>think there's a lot of stress about like, well, anybody

0:34:00.080 --> 0:34:02.120
<v Speaker 1>show up, and I don't want to make people spend money.

0:34:02.120 --> 0:34:04.480
<v Speaker 1>But if you are just like I'm gonna do this

0:34:04.560 --> 0:34:07.560
<v Speaker 1>fun thing, like come whatever, It'll be fun no matter

0:34:07.600 --> 0:34:10.239
<v Speaker 1>whether anybody brings a gift or however many people show up,

0:34:10.440 --> 0:34:13.320
<v Speaker 1>like what time of year is your birthday? For example, um,

0:34:13.360 --> 0:34:15.839
<v Speaker 1>maybe this week it's in a couple of days and

0:34:15.880 --> 0:34:20.080
<v Speaker 1>you're all invited to drinks. I really appreciate your enthusiasm

0:34:20.160 --> 0:34:26.200
<v Speaker 1>about that, and this has been half big takes, half

0:34:26.239 --> 0:34:29.640
<v Speaker 1>baked takes. Thanks for listening to another episode of Game Plan.

0:34:29.719 --> 0:34:32.440
<v Speaker 1>You can find me on Twitter at RZ Greenfield and

0:34:32.480 --> 0:34:36.040
<v Speaker 1>I'm at Francesca today. You can tweet us with your

0:34:36.400 --> 0:34:38.920
<v Speaker 1>thoughts about the show, your halfag takes, and certainly your

0:34:38.960 --> 0:34:41.239
<v Speaker 1>ideas for how we can become more diverse. You can

0:34:41.239 --> 0:34:43.920
<v Speaker 1>also call us at two one to six one seven

0:34:44.040 --> 0:34:46.600
<v Speaker 1>zero one six six. If you like the show, head

0:34:46.640 --> 0:34:48.799
<v Speaker 1>on over to iTunes or wherever you listen to your

0:34:48.840 --> 0:34:52.280
<v Speaker 1>podcast to rate and review and subscribe. We got another

0:34:52.640 --> 0:34:55.640
<v Speaker 1>review and it rolled. The show is produced by Liz

0:34:55.680 --> 0:34:58.640
<v Speaker 1>Smith and Magnus Hendrickson. Had a podcast is Alec McCabe

0:34:58.960 --> 0:35:13.760
<v Speaker 1>See next week. M Nobody responded to my hilarious auto

0:35:13.800 --> 0:35:19.760
<v Speaker 1>correct nickname Rebecca, which is ros like Rosy, which Frasier character.

0:35:19.880 --> 0:35:21.680
<v Speaker 1>Are you yeah,