WEBVTT - Fixing Uber’s Broken Culture

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<v Speaker 1>Pushkin. I recently talked with Francis Frye and Anne Morris.

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<v Speaker 2>I'm Francis Frye. I'm a professor at the Harvard Business School,

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<v Speaker 2>and I'm married to Anne. I'm Anne Morris.

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<v Speaker 3>I'm a company builder and a leadership coach, and the

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<v Speaker 3>marriage is mutual and consensual. Thank goodness, we're married to

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<v Speaker 3>each other.

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<v Speaker 1>Francis and Ann also work together. They are the co

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<v Speaker 1>founders of a training and consulting company called the Leadership Consortium.

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<v Speaker 1>They specialize in helping leaders build trust. They also co

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<v Speaker 1>host a podcast called Fixable. And there is this particular

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<v Speaker 1>project that they worked on. In fact, it's the project

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<v Speaker 1>that inspired them to start their company. And I found

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<v Speaker 1>this project so surprising and so illuminating that I wanted

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<v Speaker 1>to have them on the show to talk about it.

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<v Speaker 1>I'm Jacob Goldstein. This is What's your Problem? And Francis

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<v Speaker 1>and Ann are here today to tell the story of

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<v Speaker 1>their work with Uber. It starts back in twenty seventeen,

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<v Speaker 1>what was maybe the lowest point for the company. Francis

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<v Speaker 1>and Anne got involved when a Harvard Business School a

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<v Speaker 1>lum who was working at Uber came to Francis and

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<v Speaker 1>said the company needed her help.

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<v Speaker 2>He said, will you come and meet my CEO, Travis

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<v Speaker 2>Kalnik And I said no. My first instinct was no,

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<v Speaker 2>and I was like, I read the newspapers. It sounds terrible.

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<v Speaker 2>And then she said, please, as a personal favor, he

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<v Speaker 2>is not the person that you're reading about. Will you

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<v Speaker 2>come and meet with him? And so it was entirely

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<v Speaker 2>as a favor that I flew out to meet Travis.

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<v Speaker 1>And what was before you met him? What was your impression,

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<v Speaker 1>not having met him, of Travis Kalvinick.

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<v Speaker 2>It sounded like he didn't care, was out of touch,

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<v Speaker 2>created a very horrific climate for women and not awesome

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<v Speaker 2>for others as well. So we help good people do

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<v Speaker 2>hard things, but we don't help bad people. And so

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<v Speaker 2>I was like, I'm not going to work with him,

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<v Speaker 2>but I'll come out and meet him as a favorite

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<v Speaker 2>to you.

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<v Speaker 1>So you go fly out and what happens.

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<v Speaker 2>Yes, it was a two hour meeting. It lasted three days,

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<v Speaker 2>and I found him thoughtful, rigorous, open, just I adored him.

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<v Speaker 2>By the end, I was down for the count.

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<v Speaker 1>So that is truly surprising.

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<v Speaker 2>You're not kidding because he came across very the two

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<v Speaker 2>things I really like are rigor and optimism and he

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<v Speaker 2>was super rigorous and super optimistic. And then he said,

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<v Speaker 2>and I need help. The last company I ran had

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<v Speaker 2>eight people.

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<v Speaker 1>And how big is Uber at this point?

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<v Speaker 2>Thirteen thousand?

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<v Speaker 1>Wow? Okay, and so so you're in.

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<v Speaker 2>Well he was like, you know, you need to come

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<v Speaker 2>and work here full time. And I was like, I'm

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<v Speaker 2>never leaving Harvard, but I'll consult for you. He's like, no, no, no,

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<v Speaker 2>we need all of you. So I left there and

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<v Speaker 2>came home and asked, you know, told Anne about it

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<v Speaker 2>and was like, what do you think about my taking

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<v Speaker 2>a leave from HBS and going and working there full time?

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<v Speaker 1>And and what did you say?

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<v Speaker 3>That's a ridiculous idea?

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<v Speaker 1>Go on?

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<v Speaker 3>I mean, I think we sat with it for a

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<v Speaker 3>good week or so. But where we got to is

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<v Speaker 3>if we can make it work at Uber, and if

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<v Speaker 3>we can make some of these ideas that we're kind

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<v Speaker 3>of batting around, if we can really test them at Uber,

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<v Speaker 3>and if they can work there, then they can work anywhere.

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<v Speaker 3>These kinds of issues tend to I don't think I'm

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<v Speaker 3>stating it that paralyze some entrepreneurs who are building great

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<v Speaker 3>companies and get really stuck on this stuff, and so

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<v Speaker 3>the opportunity to show the world not only how to

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<v Speaker 3>make progress on these issues, but that you can make

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<v Speaker 3>progress on these issues was also super energizing. Yeah.

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<v Speaker 1>So okay, so you take the job and like, what

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<v Speaker 1>is the problem you're setting out to fix? Eduber or problems?

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<v Speaker 2>Yeah, so two sides. The problems at any organization are

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<v Speaker 2>always only two things, achievement and or sentiment?

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<v Speaker 1>Is the business working and do people feel good about it?

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<v Speaker 1>Is that what that means? Yes?

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<v Speaker 2>And it had both problems, huh. And the sentiment was

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<v Speaker 2>really rough and the achievement was also they were magnificent

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<v Speaker 2>in some ways, but this was the era when costs

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<v Speaker 2>were greater than revenue.

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<v Speaker 1>They were losing money.

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<v Speaker 2>Yeah, And that's that can seduce you into thinking all

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<v Speaker 2>kinds of things that are upside down are right side up.

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<v Speaker 2>And so that's where the strategy.

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<v Speaker 1>Going really fast? Right, is that complicated Silicon Valley thing

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<v Speaker 1>of like incredible growth, but like they're selling every dollar

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<v Speaker 1>for seventy five cents, and lots of people it turns out,

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<v Speaker 1>will buy a dollar if it costs seventy five.

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<v Speaker 2>Cents, yes, yeah, And I don't know if it's so complicated.

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<v Speaker 2>I don't think it's that complicated either. I think I

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<v Speaker 2>think that if you get venture capitalists that are willing

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<v Speaker 2>to take their money and put it in the pockets

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<v Speaker 2>of riders, it turns out that can last a long time.

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<v Speaker 2>So but that's what we went in is sort of

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<v Speaker 2>we when we talk about study the achievement.

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<v Speaker 1>Achievement problem is they're losing money. What specifically was the

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<v Speaker 1>sentiment problem?

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<v Speaker 2>Oh goodness, the It was a culture of I'll give

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<v Speaker 2>you an example. If one person was going to give

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<v Speaker 2>someone else feedback at uber, it was an arms race

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<v Speaker 2>of how cutting the feedback could be. So they were mean,

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<v Speaker 2>they were they were Yeah, there was a but but

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<v Speaker 2>not with the intention of cruelty. But yes, it came

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<v Speaker 2>across as cruel it. Also, you know a lot of

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<v Speaker 2>people had their first job here, and so when I

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<v Speaker 2>got there and I would talk to women in particular,

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<v Speaker 2>the climate that they were enduring was something like the following.

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<v Speaker 2>Woman's the only woman on an engineering team. She's working

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<v Speaker 2>really hard. She's going to stay late to work on something.

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<v Speaker 2>She asks a colleague if he'll stay late with her,

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<v Speaker 2>and he'll say, yeah, as long as you sleep with me.

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<v Speaker 2>She reacts and he says, just kidding. You know that,

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<v Speaker 2>like the tyranny of just kidding. There was a lot

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<v Speaker 2>of just kidding there, and so no one had taught

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<v Speaker 2>anyone how to manage and how to lead. So if

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<v Speaker 2>I mean there were a thousand problems, literally one thousand complaints,

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<v Speaker 2>and more than ninety percent of them had to do

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<v Speaker 2>with the interaction between someone and their manager. There were

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<v Speaker 2>three thousand managers, so they were either three thousand bad

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<v Speaker 2>people or something systematically was going on that we were

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<v Speaker 2>not setting anyone up for success.

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<v Speaker 1>So when do you start wearing the Uber shirt every day?

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<v Speaker 2>So I got there and I was you know, Anne

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<v Speaker 2>and I were excited, and I was really proud of

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<v Speaker 2>the mission. I was proud of the work ethic. I

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<v Speaker 2>was proud of the intelligence of everyone, and so I

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<v Speaker 2>was proud to be there. And I got there and

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<v Speaker 2>everyone was ashamed to work there. There were all the

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<v Speaker 2>newspaper things like delete Uber, and there was videos on

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<v Speaker 2>the web of the CEO that weren't good, and so

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<v Speaker 2>people were embarrassed. They wouldn't when they got into an

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<v Speaker 2>Uber car, they wouldn't admit that they to the driver

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<v Speaker 2>they worked at Uber.

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<v Speaker 1>Oh so you're saying people who worked at Uber would

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<v Speaker 1>get into an Uber and wouldn't tell the driver they

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<v Speaker 1>worked at Uber because driver would think they're a bad

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<v Speaker 1>person for working at Uber.

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<v Speaker 2>Yes, they would. They stopped going to parties because the

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<v Speaker 2>topic of conversation was always Uber and it was embarrassing

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<v Speaker 2>for them. So they had real shame. And so what

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<v Speaker 2>I said is, I'm so proud of what we're all

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<v Speaker 2>intending to do. I'm going to wear an uber t

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<v Speaker 2>shirt until everyone else regains his pride because there used

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<v Speaker 2>to be the pride in the organization.

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<v Speaker 1>And so you're wearing it Monday to Friday, you're wearing

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<v Speaker 1>it Saturday and Sunday. And tell me, tell me as

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<v Speaker 1>the partner of the person.

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<v Speaker 3>Yeah, this wasn't an ideal part of the commitment. I'm

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<v Speaker 3>not sure you had. I did not clear it with

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<v Speaker 3>this many moves ahead and a chessboard. Now, yeah, there

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<v Speaker 3>were a couple of awkward family moments. We went to

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<v Speaker 3>a fancy party where you had to dress up and

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<v Speaker 3>Francis woarren uber T shirt.

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<v Speaker 2>Underneath a jacket. But indeed I did no. I promised

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<v Speaker 2>to wear any like you could see it like, ah,

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<v Speaker 2>for sure, for sure the commitment was real.

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<v Speaker 1>So okay, we've got the shirt, We've got the problems.

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<v Speaker 1>After the break, solving the problems and getting to the

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<v Speaker 1>point where Francis finally feels like she can stop wearing

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<v Speaker 1>an Uber shirt every single day. Now back to the show. So, okay,

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<v Speaker 1>you got your shirt, you're fired up. What's the first

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<v Speaker 1>sort of key thing you do to try and make

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<v Speaker 1>people like Uber better?

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<v Speaker 2>Yes, So the first thing was to teach the entire

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<v Speaker 2>organization how to build and more importantly in their case,

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<v Speaker 2>rebuild trust and how to do it quickly. So in

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<v Speaker 2>the presence of trust, everything goes faster and higher. So

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<v Speaker 2>if you get trust, nobody's going to relitigate the decision afterwards,

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<v Speaker 2>you get to stay on one things, and in the

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<v Speaker 2>absence of trust, people are going to ask you to

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<v Speaker 2>compromise way more than you should otherwise. So when we're

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<v Speaker 2>teaching about trust, what we're doing is delivering on the

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<v Speaker 2>promise that you can go faster and further. So our

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<v Speaker 2>collaboration will be better, our innovation will be better. In

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<v Speaker 2>the presence of trust, everything is better. In the absence

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<v Speaker 2>of trust, it's a miserable place to be. It starts

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<v Speaker 2>it stops. We go one step forward, two steps back.

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<v Speaker 2>So trust is we find trust is the foundation for

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<v Speaker 2>all human progress.

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<v Speaker 1>So that's the abstraction. What is a specific thing you

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<v Speaker 1>do to that end?

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<v Speaker 2>Well, you determine is trust breaking down for one of

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<v Speaker 2>three reasons. Turns out there's three pillars of trust, and

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<v Speaker 2>in Uber's case, the reason was empathy at every turn.

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<v Speaker 2>So you can be awesome, but if you're not empathetic,

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<v Speaker 2>we're not going to trust you.

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<v Speaker 1>And I mean, you say there's three pillars of trust,

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<v Speaker 1>I got to say, okay, if empathy is on, what

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<v Speaker 1>are the other two?

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<v Speaker 2>Logic and authenticity.

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<v Speaker 1>So if you think about it in terms of a

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<v Speaker 1>person's relationship to their manager, they are thinking, does what

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<v Speaker 1>my boss says make sense? Is it logical? Is my

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<v Speaker 1>boss a phony? Are they just giving me a smoke

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<v Speaker 1>screen that's authenticity? And does my boss care about me?

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<v Speaker 3>I mean it's not exactly okay, and care about my

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<v Speaker 3>success in this job.

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<v Speaker 1>And so the people at Uber, in your estimation, in

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<v Speaker 1>your finding, were logical and authentic. They just didn't care

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<v Speaker 1>about the people they worked with.

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<v Speaker 2>And it was for the employees, it was also for

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<v Speaker 2>the regulators. It was also for the investors, so they are.

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<v Speaker 1>Caring about the regulators. Was sort of Uber's brand, right,

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<v Speaker 1>like that was I don't quite want to say their

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<v Speaker 1>secret sauce, but kind of right. Well, it was going

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<v Speaker 1>into cities where, you know, to be fair to Uber,

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<v Speaker 1>it seemed like the taxi cab cartels had the regulators

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<v Speaker 1>kind of in their pockets in a lot of places.

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<v Speaker 1>So in a way, being not empathetic to the regulators

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<v Speaker 1>there was a logic to it.

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<v Speaker 2>From absolutely, and so the question is is what got

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<v Speaker 2>you here, what's going to take you there? And they

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<v Speaker 2>were magnificent at not being empathetic to the regulators. And

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<v Speaker 2>that's spilled over to many aspects of the organization.

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<v Speaker 1>So you've identified now in more detail. Okay, this is

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<v Speaker 1>what's wrong. How do you fix it?

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<v Speaker 2>Yeah, So two things. One, we created a curriculum, So

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<v Speaker 2>I got friends of mine from Harvard and we created

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<v Speaker 2>a remote curriculum. Half of it leadership, half of its

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<v Speaker 2>strategy to teach people how to do things. And it

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<v Speaker 2>was for the three thousand managers. We thought, you know,

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<v Speaker 2>maybe five hundred people would show up. People took it.

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<v Speaker 1>Six thousand out of three thousand mandagers, so all of

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<v Speaker 1>the managers basically and a lot of other people. Yes, Okay,

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<v Speaker 1>that's interesting, Like it seems like the problem is everybody

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<v Speaker 1>was being mean essentially to each other. How does like

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<v Speaker 1>online courses actually get people to not be mean?

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<v Speaker 2>Like?

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<v Speaker 1>It seems weird to me. Maybe I've just had bad

0:13:32.356 --> 0:13:34.276
<v Speaker 1>online courses in my work life.

0:13:34.716 --> 0:13:36.276
<v Speaker 3>Well, let me let me, let me add a little

0:13:36.316 --> 0:13:37.716
<v Speaker 3>let me add a little context, which I think is

0:13:37.796 --> 0:13:40.796
<v Speaker 3>material here into a lot of the organizations we work in.

0:13:42.476 --> 0:13:45.476
<v Speaker 3>It was very clear to the organization that plan A

0:13:46.156 --> 0:13:51.116
<v Speaker 3>wasn't working, Yeah, and that they had not collectively built

0:13:51.156 --> 0:13:55.276
<v Speaker 3>a culture where people were thriving. And so the motivation

0:13:55.796 --> 0:13:59.276
<v Speaker 3>for behavior change is partly why we like. We like

0:13:59.356 --> 0:14:02.116
<v Speaker 3>working with organizations that are at this point in their

0:14:02.156 --> 0:14:04.436
<v Speaker 3>life cycle there's some kind of crisis because people are

0:14:04.436 --> 0:14:08.756
<v Speaker 3>really leaning into changing and are very in touch with

0:14:08.796 --> 0:14:09.956
<v Speaker 3>the potential payoff.

0:14:10.316 --> 0:14:12.796
<v Speaker 1>Huh. Is there a particular time you remember and when

0:14:12.836 --> 0:14:15.316
<v Speaker 1>you were talking to Francis about what was happening, Like

0:14:15.476 --> 0:14:18.196
<v Speaker 1>any specific conversations come to mind.

0:14:18.756 --> 0:14:21.636
<v Speaker 3>Yeah, Francis had do you remember the robot we had

0:14:21.636 --> 0:14:24.356
<v Speaker 3>experimented with an It was actually called the Wanatron. It's

0:14:24.556 --> 0:14:28.756
<v Speaker 3>difficult product name, but the Wanatron was the height of

0:14:29.356 --> 0:14:32.676
<v Speaker 3>a human sitting in a chair essentially, so it would

0:14:32.676 --> 0:14:34.876
<v Speaker 3>wheel up to the dinner table. Francis would join us

0:14:34.916 --> 0:14:36.116
<v Speaker 3>for dinner, and then we would.

0:14:37.876 --> 0:14:40.036
<v Speaker 1>And it had a little like a like an iPad

0:14:40.076 --> 0:14:41.436
<v Speaker 1>for a face or something.

0:14:41.076 --> 0:14:45.236
<v Speaker 3>Exactly, so Francis would could could be there friends.

0:14:46.196 --> 0:14:51.556
<v Speaker 2>Yeah, it would take maybe three minutes for you and

0:14:51.596 --> 0:14:53.996
<v Speaker 2>the boys to stop interacting with like a robot, and

0:14:53.996 --> 0:14:55.276
<v Speaker 2>it was as if I was there.

0:14:55.396 --> 0:15:00.516
<v Speaker 3>Yeah. I do remember coming home, you know, a little

0:15:00.556 --> 0:15:03.756
<v Speaker 3>bit late at night, keeping the babysitter a little late,

0:15:04.476 --> 0:15:08.996
<v Speaker 3>cats away Jacob, you know, uh, and pulling into the driveway,

0:15:09.236 --> 0:15:12.956
<v Speaker 3>the wanatron was just waiting in the waiting in the window.

0:15:15.076 --> 0:15:17.796
<v Speaker 3>And but you were super excited. I mean I can

0:15:17.956 --> 0:15:23.076
<v Speaker 3>I can remember the image. You were super excited and

0:15:23.236 --> 0:15:25.276
<v Speaker 3>you had just finished a class and it had gone

0:15:25.996 --> 0:15:29.076
<v Speaker 3>really well, and you can tell, I mean, you can

0:15:29.156 --> 0:15:32.556
<v Speaker 3>tell in the classroom when there's an the energy of

0:15:32.636 --> 0:15:36.076
<v Speaker 3>engagement and that can get really infectious, even in these

0:15:36.796 --> 0:15:42.396
<v Speaker 3>digital classrooms. And it had worked, and you basically were like,

0:15:42.436 --> 0:15:44.516
<v Speaker 3>you know, honey, I think we're onto something.

0:15:45.316 --> 0:15:47.796
<v Speaker 2>That's when I knew it was it was fixable.

0:15:48.356 --> 0:15:53.116
<v Speaker 1>So at some point Travis Kalanick gets I don't know

0:15:53.116 --> 0:15:55.476
<v Speaker 1>if he was fired pushed out. He definitely gets pushed

0:15:55.476 --> 0:15:56.436
<v Speaker 1>out of the company.

0:15:56.196 --> 0:15:56.756
<v Speaker 2>Nine days in.

0:15:57.356 --> 0:16:00.556
<v Speaker 1>So say that again. Nine days in, nine days after

0:16:00.596 --> 0:16:02.956
<v Speaker 1>you took the full time job, he sweet talked to

0:16:02.956 --> 0:16:04.396
<v Speaker 1>you and that he was gone.

0:16:04.716 --> 0:16:07.316
<v Speaker 2>It wasn't his idea to leave, No, it was it

0:16:07.396 --> 0:16:12.796
<v Speaker 2>was really of a sudden and a surprise. And he

0:16:12.876 --> 0:16:16.796
<v Speaker 2>said to me, he said, you know, in my absence,

0:16:17.436 --> 0:16:20.396
<v Speaker 2>please do this act in the best because I was like,

0:16:20.396 --> 0:16:21.516
<v Speaker 2>what can I do to be helpful to you? And

0:16:21.596 --> 0:16:23.156
<v Speaker 2>he said, you can be helpful to me by doing

0:16:23.236 --> 0:16:26.396
<v Speaker 2>things in the best interest of Uber. And so that's

0:16:26.436 --> 0:16:26.796
<v Speaker 2>what I did.

0:16:28.276 --> 0:16:31.156
<v Speaker 1>So let's talk about what else you did. There's there's

0:16:31.196 --> 0:16:35.156
<v Speaker 1>the course. There was one detail that I read about

0:16:35.756 --> 0:16:38.236
<v Speaker 1>that was really interesting to me, and it was about

0:16:38.836 --> 0:16:42.996
<v Speaker 1>how people behaved in meetings. Yeah, tell me about that.

0:16:43.436 --> 0:16:47.516
<v Speaker 2>Yeah, And I think this was illustrative of the large

0:16:47.556 --> 0:16:51.076
<v Speaker 2>empathy wobble we would say at the organization. So in

0:16:51.116 --> 0:16:55.636
<v Speaker 2>the senior team, it was not a safe place. And

0:16:55.716 --> 0:16:59.116
<v Speaker 2>by that I mean when people were speaking, they were

0:16:59.196 --> 0:17:02.036
<v Speaker 2>like nervous and looking around and I.

0:17:01.956 --> 0:17:05.436
<v Speaker 1>Couldn't been in like c Sweitel people even in C suite.

0:17:05.876 --> 0:17:07.956
<v Speaker 2>No, no, no, even in C suite. Then what I

0:17:07.996 --> 0:17:13.436
<v Speaker 2>found out is that they were texting one another about

0:17:13.476 --> 0:17:15.116
<v Speaker 2>the person who was speaking.

0:17:16.596 --> 0:17:19.116
<v Speaker 1>In the room, in the room, and they all knew

0:17:19.156 --> 0:17:20.196
<v Speaker 1>that they were doing it.

0:17:20.116 --> 0:17:22.596
<v Speaker 2>And they all knew it, which was creating, Like, if

0:17:22.636 --> 0:17:25.236
<v Speaker 2>you want to create an environment that's not safe, just

0:17:25.276 --> 0:17:28.796
<v Speaker 2>start doing that. That's that guaranteed to make it not safe.

0:17:29.156 --> 0:17:33.356
<v Speaker 3>That it was shocking, super common you came to discover.

0:17:33.156 --> 0:17:34.156
<v Speaker 1>Yeah, super common.

0:17:34.156 --> 0:17:35.716
<v Speaker 3>Wait, and super tech industry.

0:17:37.036 --> 0:17:40.156
<v Speaker 1>Everybody does that and everybody knows everybody's doing that.

0:17:40.596 --> 0:17:43.436
<v Speaker 3>I don't think that's an unfair statement. It was at

0:17:43.436 --> 0:17:44.276
<v Speaker 3>that time, at.

0:17:44.156 --> 0:17:45.316
<v Speaker 2>That time, it.

0:17:46.756 --> 0:17:48.756
<v Speaker 1>That's so weird, it's so weird.

0:17:48.796 --> 0:17:50.556
<v Speaker 2>I have to say I had exactly the reaction that

0:17:50.596 --> 0:17:53.436
<v Speaker 2>you did. So set a norm because I was facilitating

0:17:53.476 --> 0:17:55.076
<v Speaker 2>the senior team. The board asked me to do it

0:17:55.116 --> 0:17:58.756
<v Speaker 2>in between the CEOs, and I said, for our meetings,

0:17:58.756 --> 0:18:02.196
<v Speaker 2>we're gonna have technology off in a way. Now we

0:18:02.276 --> 0:18:02.716
<v Speaker 2>do that in the.

0:18:02.676 --> 0:18:05.436
<v Speaker 1>Harvard classroom, meaning no phones, no laptops.

0:18:05.676 --> 0:18:10.196
<v Speaker 2>It turned out that when you remove the distraction, we

0:18:10.476 --> 0:18:14.276
<v Speaker 2>actually got an unprecedented amount of work done. Like we did.

0:18:14.476 --> 0:18:17.956
<v Speaker 2>We I don't think Uber ever got more done than

0:18:18.036 --> 0:18:24.036
<v Speaker 2>over that summer, so it started an incredible improvement trajectory.

0:18:24.196 --> 0:18:26.516
<v Speaker 2>So I'll give you another example of something that we did.

0:18:26.556 --> 0:18:29.156
<v Speaker 2>They were not very good at giving each other feedback,

0:18:29.156 --> 0:18:32.716
<v Speaker 2>and that I know as an operations professor, if I

0:18:32.836 --> 0:18:36.356
<v Speaker 2>give you effective feedback, you will improve at a dramatically

0:18:36.396 --> 0:18:41.036
<v Speaker 2>improved rate. So my ability to give you feedback is

0:18:41.156 --> 0:18:43.836
<v Speaker 2>actually going to be a great, big influence on your improvement.

0:18:44.916 --> 0:18:47.676
<v Speaker 2>The way they gave feedback often made people worse. So

0:18:47.796 --> 0:18:49.756
<v Speaker 2>not only did it not make them better, well once

0:18:49.796 --> 0:18:52.756
<v Speaker 2>we taught them how to do it, and not only

0:18:52.796 --> 0:18:55.356
<v Speaker 2>did it help other people improve, but it improved the

0:18:55.396 --> 0:18:57.076
<v Speaker 2>culture what we did.

0:18:57.716 --> 0:19:03.356
<v Speaker 1>Is there an example of helping people give better feedback?

0:19:03.596 --> 0:19:03.796
<v Speaker 2>Oh?

0:19:03.996 --> 0:19:06.396
<v Speaker 1>Yeah, yeah, like one specific thing.

0:19:06.716 --> 0:19:11.276
<v Speaker 2>Sure. So if I want you to improve the ideal

0:19:11.396 --> 0:19:15.876
<v Speaker 2>ratio of positive reinforcement, that is, do more of this

0:19:16.516 --> 0:19:21.076
<v Speaker 2>to constructive advice, do it differently. The ideal ratio is

0:19:21.156 --> 0:19:22.956
<v Speaker 2>five to one, huh.

0:19:23.396 --> 0:19:25.636
<v Speaker 1>So you say five good things that the person did

0:19:25.636 --> 0:19:27.476
<v Speaker 1>and one thing they could improve on, and.

0:19:27.436 --> 0:19:32.996
<v Speaker 2>At uber it was zero to ten. And so by

0:19:33.036 --> 0:19:38.636
<v Speaker 2>doing that it unleashed all of this amazing improvement and

0:19:39.476 --> 0:19:42.516
<v Speaker 2>we were catching people doing things right in sincere and

0:19:42.556 --> 0:19:45.116
<v Speaker 2>specific ways. It can't be performed at ever you lose

0:19:45.156 --> 0:19:50.196
<v Speaker 2>that authenticity thing. So the culture improved and the improvement improved,

0:19:50.236 --> 0:19:52.276
<v Speaker 2>and this happens overnight.

0:19:52.996 --> 0:19:57.356
<v Speaker 1>Was there a moment when you felt like you had

0:19:57.396 --> 0:19:58.916
<v Speaker 1>done it? Was there a moment when you took off

0:19:58.956 --> 0:20:01.196
<v Speaker 1>the shirt? Yeah?

0:20:01.276 --> 0:20:04.916
<v Speaker 2>I took off the shirt nine months in.

0:20:05.276 --> 0:20:09.636
<v Speaker 1>And was there some thing? Was there? What was the

0:20:09.716 --> 0:20:12.556
<v Speaker 1>last thing? What was the thing that why didn't you

0:20:12.556 --> 0:20:14.076
<v Speaker 1>take it off eight months? What was the last thing

0:20:14.076 --> 0:20:15.956
<v Speaker 1>you had to do to take off the shirt?

0:20:16.956 --> 0:20:17.156
<v Speaker 2>Yeah?

0:20:17.156 --> 0:20:19.556
<v Speaker 3>I mean the thing that was most gratifying to you,

0:20:20.716 --> 0:20:24.636
<v Speaker 3>if I recall, is seeing uber t shirts on this

0:20:24.756 --> 0:20:26.876
<v Speaker 3>everywhere of San Francisco.

0:20:26.396 --> 0:20:30.996
<v Speaker 2>Everywhere, everywhere you just walk in, and it would have

0:20:31.076 --> 0:20:34.836
<v Speaker 2>to be like a nighttime horror story to tell people

0:20:34.836 --> 0:20:37.236
<v Speaker 2>what it used to be like, because you couldn't imagine

0:20:37.236 --> 0:20:38.436
<v Speaker 2>it being like that anymore.

0:20:38.716 --> 0:20:40.516
<v Speaker 1>You didn't need to wear the shirt anymore because everybody

0:20:40.516 --> 0:20:41.236
<v Speaker 1>else was worthing.

0:20:41.036 --> 0:20:43.596
<v Speaker 2>Everybody else did everyone. And that, by the way, is

0:20:43.596 --> 0:20:45.796
<v Speaker 2>when I stopped working their full time because I also

0:20:45.796 --> 0:20:47.876
<v Speaker 2>didn't need to be there full time anymore.

0:20:48.076 --> 0:20:50.116
<v Speaker 1>And what'd you think when what do you think when

0:20:50.156 --> 0:20:54.636
<v Speaker 1>Francis first took off the shirt, there was Jacob.

0:20:54.676 --> 0:20:56.036
<v Speaker 2>There was great relief.

0:20:57.476 --> 0:21:01.436
<v Speaker 3>As her spouse, as her collaborator, which I think it

0:21:01.476 --> 0:21:03.636
<v Speaker 3>was by the end of this story that you had

0:21:03.676 --> 0:21:06.156
<v Speaker 3>sold me, and about midway through that you were really

0:21:06.196 --> 0:21:08.956
<v Speaker 3>putting the pressure on we should go and do this together.

0:21:10.276 --> 0:21:11.196
<v Speaker 2>I was intrigued.

0:21:11.836 --> 0:21:14.116
<v Speaker 1>Tell me more about that. So you're saying this story

0:21:14.956 --> 0:21:17.756
<v Speaker 1>when Francis was working at uber was when and you

0:21:17.876 --> 0:21:20.596
<v Speaker 1>really decided that you and Francis should go work together

0:21:21.356 --> 0:21:22.116
<v Speaker 1>as consultants.

0:21:22.236 --> 0:21:27.316
<v Speaker 3>Yeah, Well, we started a company that was very informed

0:21:27.316 --> 0:21:31.636
<v Speaker 3>by this experience, that was focused on removing barriers to

0:21:31.716 --> 0:21:36.596
<v Speaker 3>impact and advancement for people, particularly in tech, and the

0:21:36.716 --> 0:21:40.916
<v Speaker 3>mission has expanded and so that and particularly.

0:21:40.396 --> 0:21:43.516
<v Speaker 2>For women, people of color, LGBTQ, like the people for

0:21:43.596 --> 0:21:47.396
<v Speaker 2>whom the harms were most likely to be done. What

0:21:47.436 --> 0:21:49.476
<v Speaker 2>we decided to do is instead of going and helping

0:21:49.516 --> 0:21:52.236
<v Speaker 2>one company at a time, we started a company where

0:21:52.236 --> 0:21:55.996
<v Speaker 2>we could bring people in and help many companies at once,

0:21:56.396 --> 0:22:01.996
<v Speaker 2>and that exists until today, all focusing on the education part,

0:22:02.076 --> 0:22:10.636
<v Speaker 2>and has been enormously successful in unleashing individuals and the organizations.

0:22:12.716 --> 0:22:15.036
<v Speaker 1>We'll be back in a minute with the lightning round.

0:22:22.156 --> 0:22:24.276
<v Speaker 1>That's the end of the ads now we're going back

0:22:24.276 --> 0:22:26.316
<v Speaker 1>to the show. Let's do a lightning round.

0:22:26.916 --> 0:22:27.516
<v Speaker 2>Let's do it.

0:22:27.836 --> 0:22:32.356
<v Speaker 1>Okay, what's one tip for teaching your kid how to fish?

0:22:32.436 --> 0:22:35.916
<v Speaker 2>If the birds aren't there, go come back another day.

0:22:36.556 --> 0:22:40.516
<v Speaker 1>A good one, because the birds eat the fish, and

0:22:40.556 --> 0:22:43.196
<v Speaker 1>if there's no fish, there won't be birds. Fish where

0:22:43.196 --> 0:22:45.116
<v Speaker 1>there are fish, A fisherman told male.

0:22:44.956 --> 0:22:46.996
<v Speaker 2>Fish where there are fish.

0:22:47.316 --> 0:22:50.276
<v Speaker 1>I know you talk on your show about the lesbian

0:22:50.356 --> 0:22:53.996
<v Speaker 1>can do attitude, which is an attitude that I would

0:22:53.996 --> 0:22:59.356
<v Speaker 1>love to have. So, like, tell me one thing I

0:22:59.516 --> 0:23:03.436
<v Speaker 1>need to have the lesbian can do attitude.

0:23:04.156 --> 0:23:08.316
<v Speaker 3>Yeah, Well, it's our it's our affectionate way of saying

0:23:08.356 --> 0:23:11.756
<v Speaker 3>getting in touch with the fixer inside you.

0:23:13.276 --> 0:23:14.716
<v Speaker 2>And I think it's.

0:23:14.596 --> 0:23:18.876
<v Speaker 3>Fundamentally about mindset. So it's getting in touch with the

0:23:18.916 --> 0:23:20.636
<v Speaker 3>agency you have to solve problems.

0:23:20.756 --> 0:23:24.156
<v Speaker 2>That's it. That's your inner lesbian. We all have one. Yeah,

0:23:24.196 --> 0:23:26.396
<v Speaker 2>And you know this is interesting. I don't know if

0:23:26.436 --> 0:23:29.236
<v Speaker 2>I've ever taught anyone how to have can do lesbian spirit.

0:23:29.276 --> 0:23:31.996
<v Speaker 2>What I do is encourage people to surround themselves with

0:23:32.116 --> 0:23:37.236
<v Speaker 2>people that have this inner spirit. So it's quite infectious.

0:23:37.356 --> 0:23:39.996
<v Speaker 2>I think the answer, I think that's the answer, which

0:23:40.036 --> 0:23:43.396
<v Speaker 2>is be around people who in the presence of a

0:23:43.556 --> 0:23:48.596
<v Speaker 2>problem walk towards it. They neither freeze nor do they

0:23:48.636 --> 0:23:49.156
<v Speaker 2>walk away.

0:23:49.636 --> 0:23:51.516
<v Speaker 1>What's the best thing about working with your spouse?

0:23:52.556 --> 0:23:58.676
<v Speaker 3>I get to know her more every day, and I

0:23:58.716 --> 0:24:05.916
<v Speaker 3>fall in love with her more every day.

0:24:06.276 --> 0:24:09.036
<v Speaker 1>Francis Fry and Anne Morris are the co founders of

0:24:09.196 --> 0:24:12.596
<v Speaker 1>the Leadership Consortium and the host of the Fixable podcast.

0:24:13.076 --> 0:24:14.836
<v Speaker 1>If you want a chance to be on their show,

0:24:15.116 --> 0:24:20.036
<v Speaker 1>call their hotline at two three four Fixable. That's two

0:24:20.036 --> 0:24:24.316
<v Speaker 1>three four three four nine two two five three, and

0:24:24.356 --> 0:24:27.356
<v Speaker 1>you can leave a voicemail for Annon Francis with your

0:24:27.396 --> 0:24:33.316
<v Speaker 1>workplace problem. Today's show was produced by Edith Russolo, edited

0:24:33.316 --> 0:24:36.916
<v Speaker 1>by Karen ch Kergie, and engineered by Amanda k. Wall.

0:24:38.556 --> 0:24:43.316
<v Speaker 1>Special thanks today to Isabelle Carter, Constanza Gayardo, and Sarah Yis.

0:24:44.116 --> 0:24:47.356
<v Speaker 1>You can email us at problem at Pushkin dot fm.

0:24:47.796 --> 0:24:50.516
<v Speaker 1>I'm Jacob Goldstein and we will be back next week

0:24:50.556 --> 0:24:57.196
<v Speaker 1>with another episode of What's Your Problem.