The Curiosity Shop with Brené Brown and Adam Grant - Brené with Dr. Linda Hill on Leading With Purpose in the Digital Age
Episode Date: April 18, 2022I am talking to Dr. Linda Hill, a researcher, professor of business administration, and chair of the Leadership Initiative at Harvard Business School. She is regarded as one of the top experts on lead...ership and innovation, and she has done a new study on how to lead in the digital era. We talk about her findings and what leaders are wrestling with today, the qualities of a digitally mature organization, and why digital transformation is less about technology and more about people. We also talk about leading for innovation rather than leading for change. Our organization is definitely experiencing so much of this transformation, and this conversation was so clarifying as we move forward and lead with purpose. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Transcript
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Hi, everyone. I'm Brne Brown, and this is Dare to Lead.
Woo, I've got a good conversation, a meaty conversation for you today. I am talking to Dr. Linda Hill.
She is a Harvard researcher, a professor of business administration at the Harvard Business School,
and the chair of the Leadership Initiative. She is regarded as one of the top experts on leadership and innovation.
Oh, man, I had no idea. Like, the skills to lead innovation are different than the skills to lead change.
We're going to get into it. It's so good.
She has a new leadership study on what it means to be a digitally mature company.
And God, did I learn so much.
We're just going to jump in.
We're going to talk about what leaders are wrestling with today, qualities of digitally mature organizations.
And kind of what does it mean to use technology and why she says digital transformation is way more about people than it is about technology?
I'm glad you're here.
Before we jump in, let me tell you a little bit about Linda. Dr. Hill is the Wallace Brett Donham,
Professor of Business Administration at Harvard Business School, and she chairs the Leadership Initiative.
She is the co-author of Collective Genius, the Art and Practice of Leading Innovation,
and Co-Founder of Paradox Strategies, and co-creator of the Innovation Quotient and Rerout.
She was named by Thinkers 50 as one of the top 10 management thinkers in the world in 2013 and
2021 and received the Thinkers 50 Innovation Award in 2015. Her research focuses on leadership development,
building agile, innovative organizations, and implementing global strategies. Again, she is the author
of highly regarded books and articles on leadership. Collective genius, I just, I started digging in.
God, it's so good. Hill's TED Talk on how to manage for collective creativity is also just another
just amazing tool when you want to just dig into her work.
Linda completed her postdoctoral research fellowship at the Harvard Business School and earned a PhD
in behavioral sciences at the University of Chicago.
She has an MA in educational psychology from the University of Chicago and a BA in psychology
from Brynmar College.
Let's jump in.
Okay, so I have to tell you that I'm so excited to talk to you for one reason that seems to
cover so many things. I'll just go for it and tell you what it is. Okay. You're a behavioral
scientist who studies digital transformation. Yes, I do. That is true. Whoa. Okay. Let me tell you how
I just kind of fell in love with your work. Okay. It's so good. We get called in
to do dare to lead work,
which is basically courage-building work,
very kind of skill sets around vulnerability,
emotional awareness, trust-building.
And it did not strike me until I found your work
that in probably upwards of 80%
of the cases when we're asked to come in
by a leadership team and a company,
they are in the midst of digital transformation.
Yes.
And so people always say,
well, why are you bringing
in someone who studies vulnerability and trust and emotions,
why aren't you bringing in technology people and coders and, you know,
tell me what you think?
So if I could back up a bit,
what I really study is leadership, globalization, and innovation.
Okay.
And although there's been a great deal of work on leadership
and a great deal of work on innovation,
there hasn't been as much work looking at the connection between the two.
For about 20 years now,
it's hard for me to believe, I have been looking at that connection.
And I'm an ethnographer.
So consequently, you know, I look at the phenomena that I'm interested in as they occur.
So I do longitudinal studies of leaders who are trying to build organizations that can innovate time and again.
About seven years ago, I began to think that I better take seriously digital assets and how they're used in helping organizations be able to routinely innovate.
So I began to do a number of longitudinal studies of leaders who were leading digital transformations.
And when I began to look at them and what they were struggling with and what was going on there,
I found that what they were telling me is, you know what, it's not so much about the technology.
It's about building the culture and capabilities necessary to help people be willing and able to actually use the technology.
And therefore, it turns out that my work on innovation and how you build a culture of innovation
and the capabilities necessary for innovation are very aligned with what you need to do when you're
trying to do a digital transformation. So in fact, we went back and did a series of roundtables
around the world, surveys, et cetera, and we tried to get leaders who were going through
digital transformation to talk with us about what do you need to know about digital. And they kept
saying, yeah, yeah, you have to have some digital literacy, but that is such a small part of the
challenge. So, for instance, if you want to build a culture in which people will actually use data
to make decisions, you have to deal with the fact that data, like all information, is about power.
There are power dynamics. And when you tell someone, your decision is supposed to be data-driven,
you're fundamentally kind of insulting them to say, your expertise, your experience. No, we want to use the
data. So it turns out that when I began to do this work to understand how do you innovate and what
do leaders need to do do, well, one thing is they need to figure out how to do digital transformation
or bring in the digital assets they need to get whatever they're trying to get done done.
They wanted to talk about culture and capabilities, which is what I've been studying actually for
longer than 20 years, but I've really focused on that. And it surprised me, frankly, when I went to
look at what does it take to build an innovation that can innovate time and again, I was
surprised to see that there wasn't much work on what a leader needs to do, mostly because you're
an academic too. We know the academy is very siloed. Yes. So most of the people who study,
you know, innovation are sociologists and economists and don't necessarily write about what an
individual needs to do. And so that's why we haven't seen that work. And similarly, with the
digital, what happened is the dean at the time came to me because I chair the leadership initiative
at Harvard Business School.
And my responsibility is to periodically figure out,
are we actually teaching people,
I should say helping people learn what they need to learn
because you don't teach people how to lead.
And for sure, what we found was,
you know what?
We thought we were helping them learn how to lead innovation,
but we weren't because leading innovations
actually different from leading change.
So I must say, it shocked me that I had to go back to him
and say, you know, now that I'm looking at the connection
between the two, even though we have all these people who study innovation and all these people
who study leadership, they're not so many people that look at the connection. And needless to say,
digital transformation is a big piece of what needs to happen if an organization is going to be
able to innovate. I am nerding out at the hardest level. Like I am just so into this. Okay,
let me ask you a couple of things before we get started. I want to dive into this trilogy of
articles that you have that are so fascinating. The first thing I have is a biased question.
The story I make up is that the fact that you are a qualitative ethnographer
allowed you to capture something that a lot of people have missed.
True or not true?
True.
God, yeah.
I mean, it just, it's like the words jump off the page
and grab you by the throat when you're reading because they're so resonant
and they're not reductive, they're full-bodied, emotion-filled struggles that people are having.
Well, I'm glad, well, you're making me feel wonderful because that's what I really wanted to capture because that's what we're hearing.
I mean, the wonderful thing for me is because I'm a behavioral scientist, what that actually means is for a very brief period of time at the University of Chicago, the social science division decided to create this degree that was quite a multidisciplinary.
And I had to take 30 courses in whatever I wanted to take.
It's a lot of courses, but it was wonderful because I'm a very curious person.
And from that, then you needed to figure out what exams you wanted to take.
So I was interested in organizational theory.
And I must confess to you, when I became a professor of organizational behavior at Harvard Business School,
I had never heard of organizational behavior because I just used the basic disciplines to help me understand whatever it is.
And then, you know, you go do your research, you collect the data.
and you still form different theories and different disciplines to figure out what do I need to know to understand what I'm actually seeing and hearing.
So I think because of that kind of training and also being an ethnographer,
I tend to describe what I see and try to put some kind of framing around it so that other people can learn from it.
But I don't like to reduce things too much.
And actually, I do eventually want to reduce it to the essence that you need to sort of pay attention to,
But I always like to present whatever I'm doing research on in context because the context matters so much.
Well, this grounded theory researcher sees your ethnography and really appreciates it.
You're making me feel good today. Thank you.
Yeah, no, I love it.
Okay, I want to start with this question.
You just caught me with this.
What is the difference, the primary differences between leading change and leading innovation?
Well, you know, there's so much to be said here. So let me make sure that I tell you I do my work in
collaboration. I always have a young person on my team, someone who starts out with me when he or she
is in their early 20s and they become full authors with me, co-authors with me, and I always have an
executive because I want to make sure what I'm doing makes sense to an executive that it really
sort of goes between theory and practice. So when I'm describing what I'm going to say, it's something
that we have found together.
And I have a team of people I've worked with over the 20 years,
some for the whole 20 years and others for pieces of it.
So I want to be clear not to take credit for other people's work.
But what I would say we see when you look at leading innovation
and what's different about it is the following.
Long story short, I by accident, if you will,
met the man who his title was sort of chief technology officer of Pixar.
This happened in like 1999 or so.
and we began to talk about what I was trying to study.
And the book that I wrote about that is called Collective Genius.
And I'd already written out some things
because I'd done some pilot work to figure out
how I was really going to do this research.
And I described to him that I was trying to work on this idea
of collective genius.
And he said to me, if you really want to see that,
you know, I work at Pixar.
Would you like to come over to Pixar
and see how we think about things?
And, you know, am I nuts?
I said, of course I'd like to go over to Pixar.
So I went to Pixar.
and what I saw and when I talked to people, I thought, okay, they're not talking about what they do from a leadership point of view, the way that my two mentors talk about leadership.
I am blessed that my two mentors, one of the, I have many, I've been lucky, John Cotter and Warren Venice, always taught us about the distinction between leadership and management.
So management was about dealing with complexity.
The leadership was about dealing with change. Change when you're trying to lead change, you have a vision, you communicate that vision.
and you try to inspire people to want to sort of follow you, if you will, to the future.
It turns out when I was describing that to people at Pixar and other places that I began to study,
they said, well, you know, Linda, when you are trying to do breakthrough innovation, you actually have no vision.
You don't know the answer.
You can't communicate it to anybody, and you can't inspire them to go there because you don't actually know.
What you do have is a purpose, and a purpose is different than a vision.
A purpose is sort of why we're going and what we're trying to do.
do together. It's not where we're going. So you've got to be clear about your purpose and who you're
trying to serve or the problem you're trying to solve. And that's very different from having a vision.
And many of them said, one of the leaders who's a fabulous one said to me, you know, I stopped
reading leadership books because on sort of page two, it said I was supposed to have a vision.
And the only reason I come to work every day is because I have no vision. And he's an unbelievable
innovator. So this frightened me at first when I went back to the dean and said, uh-oh, I'm a little
concerned now because the model I kind of had was the one that came from leading change.
And the other thing about when you look at leading innovation, it's really about the fact that
it's not about individuals having aha moments. It's about collaborations amongst people who have
very different perspectives and know how to do discovery-driven learning. So really what innovation
or leading innovation is about is how do you get people to co-create the future with you,
not follow you to the future. So that is a very different process.
And in fact, I'm teaching right now, I'm teaching in our executive, one of our executive programs, and to help them think about what's co-creation about, what is the mindset, what are the behaviors you need to have for that, as opposed to vision and followership.
And so it turns out that the last piece of this I'll just describe right now. So I hope the book would be out right now that I've been writing. The working title is scaling genius. But I decided I needed to go back and collect data during COVID because COVID was happening and when needed.
to observe that. Now, I had to do that all virtually, not usually on the ground as I usually
am, but I'd already collected a lot of data in these organizations, and so I just wanted to see how
they evolved. And what's been real interesting to me is that one of the leaders I studied, he was
the CEO of Cleveland Clinic Abu Dhabi at the time. He said, Linda, I feel like I'm leading through a fog.
And what does it mean to lead when you have no vision when you can't see? So it's interesting
that when you think about the kinds of dilemmas that people are facing right now,
they kind of look more like innovation.
And when you think about leading when there's a lot of ambiguity,
when a lot of conflicting, it's about purpose.
And I'm not surprised that so many people are writing about purpose more than it is about vision.
But once you get the vision, then tell people.
I'm not saying you shouldn't do that.
Both are important.
But many people don't feel like they have the vision right at the moment.
And so how do you operate then?
Well, it's more co-creation.
that it's so powerful and it's actually so where we are just as an organization very clear on purpose
very purpose driven and in the midst of huge changes and no vision just a clear purpose and a great
team with high levels of trust and commitment but no vision yeah and hope it'll become clearer
to you but you'll have to be agile and moves you'll think you're going the right way so really we need
to build in our organizations right now is the capacity to collaborate, which is really about
dealing with diversity and difference. The other piece is can we really experiment and can we
learn together? And then, of course, can we adapt and pivot if we need to? So the one piece of the
puzzle here is how do you build an organization that can do that? The focus really needs to be more
on the culture and the capabilities, the muscles you're trying to build on your team or in your
organization, not so much on the where we're headed kind of thing. But, but
for sure, you know, John Cotter and Warren Benis, right. If you know and you're leading the change
and you know where you're headed, then that's what you do. They're right about that process.
It's so interesting because when you describe what people are doing and what people are experiencing,
I hear a ton of uncertainty, a ton of vulnerability and new ways of showing up with each other.
Is that true? Yes. And that's exactly.
That's exactly true. So one of the things I don't think our work is that different in some ways,
because what I'm also hearing from leaders, and you saw it somewhat in the digital work,
but there's other, you know, this is the general work on innovation. But what people are saying
to me or what leaders are saying to me is, you know, obviously, and I'm studying people are
very capable. I just, they really are quite good at what they do. And it's, these are new times,
and they're trying to adjust to what is the organization need from me now. So this week,
I've had a number of leaders come to speak to my class. One, one,
was the leader of the team that's running the trials at Pfizer for the vaccine and the antivirals and everything else, right?
He runs the global supply chain.
And I'd already been studying him for four years before COVID happened.
So I already had data and then just have continued to study them.
And what he talked with people about is what it's like to be leading right now in ways in which he changed the way he leads or led to make the room for what they need to do now.
So one part of it is there's a different way that we begin to think about leadership.
And this is in the Being the Boss book, then I must confess I was most unsettled to discover
that leading change and leading innovation weren't quite the same because at that point I was
chairing our required leadership course.
I was thinking, uh-oh.
So, you know, the dean was saying, well, Linda, are you teaching them?
I'm saying, of course we are.
And then I thought, well, maybe not.
So we ended up moving to a different framing of leadership that allows to you to think about both.
And it's really about three imperatives, and I'm going to answer your question.
The first imperative is managing yourself.
Leadership is always about using yourself as an instrument to get something done.
And what we want people to understand is there's an emotional component to leadership.
So you always have to ask, how are people experiencing you and how are people experiencing
themselves when they're with you?
So you're thinking about the experience you're building with people.
The second imperative is managing your network, managing all those relationships with individuals
and groups over whom you have no formal authority,
but you're deeply dependent on to get your job done.
Now, some of those people are inside the organization,
and some of those people are outside.
And when we begin to look at innovation,
what we begin to see is that horizontal relationship
you have with these various parties makes a huge difference
and whether you can innovate.
And then the final one is managing your team,
that is dealing with the people over whom you do have formal authority.
And we made that one last,
because in fact, you know, everybody,
if I asked you, what is leadership?
you'll all look down, you'll all think about the people who report to you. But you won't necessarily
think about that network as being about leadership. And I think things to EQ or emotional intelligence
and work like you do, people do think more about the self. So the emotion of the self, how you are you,
everything about you, everything about you, you need to think about how to use to create this experience
people need to have to be willing to take the risks, work hard in times of uncertainty.
So leaders have been talking a lot to me about the emotion.
side of things, how they really have to show that you care. They do care, but how do you show that
over a camera? I mean, this is really horrible. But for sure, that whole piece, they feel very vulnerable.
One of the leaders, actually the leader in Cleveland Clinic Abu Dhabi, he's a world-class pioneer
heart surgeon, robotic heart surgeon. He said to his organization, to the whole hospital in
Abu Dhabi, I'm scared, but I trust you. We're going to be fine. You don't hear that usually,
particularly if I'm a surgeon, right?
So that's where he started.
Going back to Michael at Pfizer, similar thing, he said, look, we got lots to do,
and we've got to bring hope to the world.
So we have to maintain our hope.
And he thinks all the time about how people are feeling.
And believe me, they must be experiencing burnout because, you know, this has been a marathon
and there's more work to be done.
But he talks a lot about, he asks people, he starts all meetings with, how are you feeling?
What's going on with your family?
before they, quote, get down to work,
because we've been made very aware
of how all of us are frankly scared or anxious
or whatever term you want to use.
So I see many leaders who have never done this before
all around the world because my work is global.
In context where you're not used to,
you don't really get that close to people,
everyone's having to think about it
because we all know, as one leader told me in Asia,
he lasts a third of his factory.
People died or had fans.
family members, and he had to deal with that. And he wasn't prepared to deal with that.
I was quoting a kinship study talking to Scott Sondenshine, who's a professor at Rice, and we were
talking about kind of the regathering. And I said, you know, in the companies that I'm in right now,
if I had to distill it to one word, I would say grief. And the second word I would say is
anxiety. And in this kinship study that I just read, they said that for every one death,
there are nine people intimately affected,
and they're looking at grandparents, parents, spouses, and children.
And so I thought, God, globally, that's 6 million people,
that's 54 million people intimately affected by grief.
We gathered for the first time this week, I have to tell you, Linda,
it was like there were no words.
But we were back together for the first time in two years, all 30 of us.
And I think I opened with, we're not okay.
and that's okay here.
We'll be connected and not okay together,
but I want to acknowledge that there are people that we don't know
that were hired during the pandemic,
but we're all new because we've all been shaped by this.
The racial reckoning, long overdue and ongoing,
the pandemic war, and I just, people were in tears.
I mean, the level of anxiety in the room.
And it made me think of this.
I want you to react to this sentence.
self-awareness and emotional understanding on the part of a leader is a luxury, not a mandate.
I think it's a mandate, not a luxury, because you can't be present for others unless you can be present for yourself.
Not that I even know how to be present, right?
We're all struggling with it.
But I think that this goes to this whole issue about what it means to be authentic.
And I think I can imagine, well, I know, because I've interviewed some people, when they first heard or when the CEO say, I'm scared, well, that makes you even more anxious initially.
But then when he said, but I trust you, it's like, okay, you're right, we're all going to, you know, we're going to get through this.
And for sure, I think it's led leaders. And this also goes back. I know we started by talking about digital transformation.
People are scared. They think they're going to lose their jobs. You're going to automate.
or what is it? What if I don't know how to do statistics, math, et cetera? You know, I don't have the skills.
There's a lot of anxiety out there in the world, and mostly we act like it's not happening.
One of my colleagues, Joshua Margolis, studies, he sort of says necessary evils.
When you have to do harm to do good, of course, what's necessary you can ask yourself.
But he looks at that, and what he finds is when you're doing something like firing someone or laying off people
or, and he also studies people who are doing evictions, etc. He finds that it all works better,
if you stay present with that individual who you're doing harm with.
And not this idea of being dispassionate and separate and distancing yourself.
No, you're in relationship with this person that, quote, you're doing harm to to do good.
And that is what he finds really helps everybody any measure you want to use.
So I think what's been tricky is that leaders have found themselves.
And of course, some of them have gotten COVID, which has been shocking because, you know,
we're not used to losing our health, a lot of people.
And I think that idea that the way I'm really going to help my people most is to be with them and be authentic, not to scare them, but to tell them a little bit more about how I'm feeling myself and how we're going to get out of it, sharing more, being more transparent. I think they discover that that actually is a relief and it's easier to do than acting. Now, maybe you could have acted, you know, I guess when the COVID first happened, the first couple of months, maybe you can pull it together and act. But we're dragging along now.
That's gone. That went a while ago. So they have to be themselves. And that is, for many leaders, it might be new. And first of all, they have never felt so anxious. And I have had the absolute privilege, the absolute privilege of doing some work with the United Nations. And I was working with a group of people who really manage refugee camps. And they were saying that, you know, they're used to danger and all of this, except not at the same time as they're worrying about whether their families are sick or going to get.
that's sick. So this is like a whole other level. Okay, I know, and I'm, you know, I can take care of
myself or not take care of myself. I might get, but what if my family, I'm separated from them?
And you know what? I may not be able to get back to them because of all these different rules.
So that was a whole other burden. You know that leadership comes with its burdens. It comes with
its privileges, but also it's like, oh my goodness, you know, while I'm here taking care of all these
people here are the best I can do and they're taking care of themselves, I'm helping them take care of
themselves because people do that.
You know, back home, I have an 87-year-old father who's living alone, and that's what
they wanted to talk to me about.
So being able to manage all of that, I think it makes us all be reminded that we're human
and that we all have limits.
I mean, absolutely.
One of the things I want to get back to is during these roundtable discussions you had,
175 senior executives around the globe, a survey of more than 1,500.
senior executives from over 90 countries to help kind of paint a picture, correct me if I'm wrong,
but to paint a picture of what a mature, a digitally mature company looks like.
Before we get into these findings, which I think are fascinating, really speak to so much of what I'm
seen everywhere, can you give us a quick primer on what is digital transformation? What does that
mean and kind of what shifts it's creating the economy?
Well, you know what?
I'm going to do my best because one of the wonderful things about working knowledge,
that particular publication, it's work that's in progress.
So I must confess, I'm still sort of dealing with this.
So for us, digital transformation, on the one hand, it's about whether or not you're
trying to put in digital tools to serve any number of kind of goals or objectives that you
might have, but to help you to be more customer-centric.
Sometimes it's about focusing on.
your operating model. Sometimes it's about collecting data that really will help you serve the customer
better. Sometimes it's all the whole thing. It can be AI. It can be it's whatever. So it's any kind of
use for us of a digital tool to help you get something done at work that will be useful to the
organization. And as you can see, we see there's all kinds of different tools you can use. I have to
tell you that I'm a little bit confused right now because for the first time we're going to deliver a
course next week that is on digital transformation. No. And what I will say is
right before you teach something and I'm all pulling it together. So therefore, forgive me for not
being more precise. But anything that has to do with using digital tools and data, we call,
that is digital technology. Now, the transformation is when you go to implement it. So the reason
why we have this new course is, is because there are lots of courses on digital strategy or
helping you understand what AI is or what the possibilities are, what you can use, IoT,
whatever it might be, to improve your business, to create value in your business. But we're
looking at how do you actually implement it and get people to use it. And it's where we started,
what people told me was, we have invested in all of this, but people don't necessarily use it.
So we have one piece that's about how do you actually get people to use data. I'm jumping around
here a little bit, but it turns out that people, just because you give them data, does not
mean at all that they will use that data to help them make a decision, not at all. They have their
experience, they have their expertise, they might be suspicious of the data. Maybe they actually
should be suspicious of the data? Who knows? That's a whole other thing. They may have questions
about whether this is an ethical use. So just because we can do it, should we do it? There are all
kinds of questions that need to be answered before people are going to use those data in the way
that the leader thought they would. So what they told us about was you got to step back and think,
what are the mindsets and the behaviors that people need to have to know how to work with data,
for instance, to make decisions. I'm going to stay on that piece of the puzzle better.
So one thing that we see is if you don't have in your organization already, a norm,
what we call a rule of engagement, that you have to provide evidence for your point of view,
don't be surprised they don't use data.
So it turns out in many organizations, you don't really have to have evidence of any kind.
You just need to be the boss or you just need to be the one that's called the digital expert,
right?
And nobody asks for your evidence.
You just say this is what we should do.
I'm being extreme here.
So until you actually have a norm that no matter who you are,
you should provide evidence.
You shouldn't be surprised that people aren't talking about data.
So that evidence-based approach is the first piece of the puzzle.
We need evidence, a mindset that says, and we need to understand that the evidence is, you know,
limited.
What evidence do we have is it complete, is it ambiguous?
So what we see in organizations that are actually, so the transformation piece in my mind is,
okay, now you've given them the data.
Maybe you've set up your data, Blake, maybe it's really good data.
You've thought through a whole lot.
But now, and they do trust it, but they still.
still need to have to get into the habit of thinking, I'm supposed to provide evidence for my
point of view besides my expertise or my past experience. And until they do that, data is not going
to, they're just going to say they're going to declare what they think is the right answer to do.
And if you don't have an organization that knows how to do what we refer to as creative abrasion,
others have referred to that that way too, that is to know how to deal with diversity of thought
and deal with conflict, what you see is, you know, we've never been able to really embrace and deal
with differences, and we've never really had to provide evidence, particularly if you were the boss
or the expert, so why am I going to use data now? So there's a whole sort of foundation that needs
to be in place because people are going to use the data. I'm sticking with this piece of it.
And all of us would say to have a mature, a digitally mature company, one thing, one quality is
they do use data appropriately to make decisions. That is really hard. We've collected in another
survey of companies where we have this sort of in-depth look at decision-making that in many
organizations because the fundamentals of decision-making are kind of broken, don't be so surprised
that we're not using data to help us make those decisions. So once you do have that foundation
in place, the other thing you need to do is you need to make sure there might need to be some
upskilling that people understand how to use data. So I have found that, you know, the normal
curve, or you and I both probably took statistics in graduate school, but we know what a normal
curve is and what that means. Turns out, frankly, I run into MBAs and executives who
who don't know what a normal curve means, or what it is, right?
Which is a basic...
Are you talking about the normal distribution of a bell curve?
Yes, I'm sorry, normal distribution of a bell curve.
So therefore, when you're trying to interpret data and you don't actually know some of those
basics, then that becomes difficult.
So in going back to the global supply chain, you know, of someone in packaging and manufacturing,
they haven't taken statistics before.
How do you actually help them understand when a difference really matters or how to do,
how to think about whether this is really substantive this particular change.
Now, in some organizations, I mentioned I'm going to go back to Cleveland Clinic Al-Abadoby,
they have nurses who create their own dashboards because they have very good visualization tools
that makes it simple so I can see it.
So, you know, I love to read and like the written word, but a lot of people like visuals,
and obviously visuals.
So those visuals, once you give people those visual tools, they start moving the data around.
I said, oh, I see now.
So if I do this, then if this goes up this way, so it turns out, first of you have to have the right tools.
You have to have a foundation where we're supposed to provide evidence for our point of view.
The other part of it you need to have is people need to be able to ask questions.
In many organizations, we're not really allowed to ask questions, right?
And be curious.
So you want me to use the data to figure out some stuff, but if you've never really allowed me to ask questions,
then should you be surprised that I don't know how to sort of experiment or use the data to think?
about different ways I might be able to do this.
So it turns out that the real transformation in my mind
would be when people have these mindsets,
these behaviors and skills to actually work with the data.
That is what you see with a digitally mature company,
not the one that necessarily has all the shiny objects
of all the technology, etc., but you see people, in fact, using it.
So in one of the organizations we're dealing with
where they have helped people already develop,
you're allowed to ask the boss, okay, or the digital expert,
The digital expert tells you X, Y, Z, and you're on the front line worker, you can say back,
you know what, I don't think that this doesn't capture what I think I need to know.
You can actually say that to the digital expert.
Now, the digital expert can say maybe you just don't know how to read it,
because this is the collaboration across levels and across functions.
Or you can say, well, I don't know.
I think this means this and that means that.
Well, if you would only turn it around this way, now that I can visualize it,
I think I would understand it better.
Now, then this company, what's very funny is the digital people, the experts were saying,
well, who are, you know, what am I supposed to be explaining to manufacturing floor people,
how this all works?
And the answer is yes.
So now they're actually asking, they're going to the digital people.
You've got to get it, you know, that's a very expensive resource and saying, can you help me
understand how I can do this kind of analysis on my own?
They don't call it analysis.
They'll say, I want to know this because I think that if I could answer this, then I could be more effective.
But when you see that begin to happen, when people begin to ask questions and push
back on the experts, that's when you know you've really made the transformation because they'll start
telling you, you know, whatever it is. And one other leader, if I can just one last piece of it,
please think about working hypothesis. So one leader who said, gee, everything we do must be
considered a working hypothesis. This was during COVID because we just don't know. It's new.
Everything's a working hypothesis. Well, that makes people nervous in some ways. But he purposely
used the word hypothesis, just to be clear, because he wanted to help them think this.
way. So he said, so what's going to have to happen is we're going to have to make decisions based
on incomplete information or ambiguous information. We want to collect as much data and information
as we possibly can. We want to validate it because we don't want to be operating on rumor.
But we're going to have to make a decision. And then we're going to have to act. And we're only
going to know if we were right once we see the impact of the decision. So the real key is how fast can we
learn what that impact is. Amen. And then feed it back to come up with maybe another hypothesis.
And if we're going in the right direction, we continue. But if we're missing out on something,
we're going to have to adjust. And he said, you know what, I will take the blame in each
and every instance, because he's trying to help people take some risks. But that's where we're not
going to know until we see the impact. So how do we learn quickly? And people then said,
how do we learn quickly? And he'd say, well, what would we need to know to understand the impact?
So they're beginning to work together in a co-creation way to say, what are the appropriate ways to assess our impact?
And then people will come back and say, you know, it didn't quite work.
We didn't have that impact we wanted.
And he's a very senior person talking to people across the organization to figure this out.
And so I think that kind of way of working to understand that everybody has some expertise from their particular perspective,
how do we collaborate to solve the problem and how do we use data to do that,
that practicing in those cycles, that's a very different way of thinking about doing work.
So what you're seeing in those articles is we're seeing in these organizations where that's
begun to happen.
And that's when you really begin to see organizations being able to innovate, be agile,
meet the needs of customers as the customer changes.
And until you kind of get to that place, you know, really there may be pockets that can do
that.
But once you see the whole organization beginning to think that way, that is a game changer.
But I think there's so many pieces to this puzzle.
So when you see in that article is in part what we know it takes to build an agile organization.
And if you have all these data and you can't use them to be agile, then shame on you.
But it's actually very difficult to get that to happen.
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the one thing I love that you wrote that I just
this has been so my experience I've never seen it articulated
so succinctly and powerfully is
digital transformation is more about people than technology
that is so true.
And in this article, this first one,
you talk about the qualities
of a digitally mature organization
and you just hit on them beautifully
in your storytelling
as only an ethnographer would.
So, you know, a challenger mindset
and willingness to disrupt,
distributed decision making and co-creation,
continuous experimentation and learning.
That's the leader who's using this hypothesis model.
We prove or disprove it.
We learn. We embed the learning.
We try to,
something new. Tell me about this. I'm so curious about this. A culture that's data informed,
not data driven. So this is what actually I was sort of referring to earlier. First off,
we all know that data can always have its limits. There's nothing magical about data.
No. Right? Nothing magical. So you always need to know, you know, how were the data collected and do we
feel good about it, should we trusted, et cetera. So the whole idea about being data informed
versus data-driven is I go into so many companies, and they talk about we do data-driven
decision-making. Okay, fine. The data tell us what to do. Well, the data never tell you what to do
because it's really your judgment. You're putting the data into the equation, right? It's judgment.
It's your interpretation and judgment, right? So there's nothing, what does data-driven mean,
really. And I can't tell you how often. The one thing I was, I remember when I was on the board
of a public company and we got this big presentation about why certain rules have been put in place,
compliance rules, et cetera. And I was listening to the presentation and finally I thought,
like who decided that these are the risks that should be included in the equation to figure out,
you know, whether or not the bank is complying or not. So I said to the consultant who was presenting this to
us, I said, during lunch, can you just show me your equation?
I just like to know what you put into the equations.
And he's like, well, why would you want to know that?
I said, because that is a judgment call you made about what to put into those
equations that are now, you know, putting out whichever.
And I just want to understand what you thought mattered.
And he would not tell me what they put into the equation.
Uh-oh.
He just wouldn't.
And I have to say, some of my colleagues were looking at me and thinking, oh, no,
you don't want to have an academic in the room, right?
But that's the point.
Like, what did you put in the equation?
I might not agree with what you put into the equation,
in which case I shouldn't trust the data.
But data driven versus data informed is, you know,
you can always ask questions.
So what you see in these organizations,
you're allowed to question the data
or the person who's presenting the data to you.
But the other piece really goes back to what I said,
because information is about power.
And people, you know, we all know that in a lot of organizations,
power is forded, which is why we don't have transparency.
I think he didn't want to tell me what was in those equations
because I may or may not agree with them
and he didn't really want to deal with that.
But the fact of the matter is, is when you say data-driven, you're basically saying to me,
you don't need to think a whole lot.
Just look at what the data are telling you.
Well, the data aren't telling me anything.
I'm actually going to add my experience and my expertise to it.
But the reason why you want to have the data is because you do want to, over time, move from hindsight to foresight.
The problem with our expertise and our experience is it actually limits us as well.
So the fact of the matter is the data makes me ask us say, oh, there's a disconnect here.
And I've got to really explore that disconnect because understanding that disconnect is where the judgment comes in, which is why we move to data informed.
So I need to ask for something called, and maybe you've studied this or read about it, contextual intelligence.
So we all know about emotional intelligence, but there's also contextual intelligence.
So does my experience, does my expertise, it may have worked in this situation, but is it really relevant here?
Now, the data may tell me, you know what, maybe not so relevant or maybe only part of it is relevant because this is a very important.
very different circumstance. So you really want expertise, you want your experience and the data
to inform your decision making. And then you want people over time to learn how to wait those
things. So I think that that's why we move to data informed. And really one of the people who
really helped me understand this is one of the executives we're working with on this digital
piece. And actually the two executives, we had two executives working with us on this.
And one of them, she used to work at Disney Animation,
and she was saying how they went through the transformation from analog to digital,
which was really a very big, that goes into people's professional identities as well.
But she said, I finally realized that, or I don't even took her that long to realize it,
is that this is about power dynamics.
It's about who really knows.
So if I'm the expert or I'm even the boss,
but now I have this young thing who knows about digital who's coming and telling me,
he or she knows better,
or they know better than I do, excuse me?
Let that all go by just saying informed.
Don't say driven.
That's right.
It's a collaboration.
It's a collaboration.
So driven, you know, understandably,
gets people's backs up a bit.
It is.
And I think, you know,
there's two things, Linda,
that I thought about when I read that in your article.
The first, to be honest with you,
and this may or may not resonate,
was I sat on the
call on the graduate. I've never taught in undergrad. I've always taught in a master's social work
program and a PhD program. And I was on the admissions for both programs for many years. And I remember
these kind of, as academic fights can go, this thing about, well, we need to be data driven. And I
kept saying, I don't know that I want to be driven by data. These are data points that we need to
take seriously and into consideration, but they are data points, you know, and this whole thing
where you just said it, that where people believe that there is no susceptibility for human error
or subjectivity, our bias, because data are present, is one of the most profoundly dangerous
things I see in companies, like where people say there is no structural racism or
sexism or bias in our application process are this because everything's on an algorithm.
Who built the algorithm?
Exactly.
Eight white guys.
You know, I mean, it's like, do you see the reach that people make about what data can do
and how they strip it of human touch and how that can be dangerous?
Is that something that has come up for y'all?
Oh, it comes up tremendously.
I mean, one of the ways it comes up, as I said, when I was trying to get this individual
to show me, and I'm on the board of directors of a fortune, I want a company, and I can't get them to show me
what the algorithm is or, you know, what the equation is. So I think that, yes, for sure,
but I believe that we do need to have as much data as we can, and we do want to think,
I'm going to be a little careful. We're not careful. You know, there is a reason why there is a logic
that we all learn when we learn science and all of that. And the interesting thing about it is you want to
use those tools. And to some extent, what really shocks me is how much people think that if someone
puts up a number, that number is true, as opposed to a word, right? There's a bias in the U.S.
anyway, I would say, for you can put a number or you can put a word, and the number somehow feels
more real to people. Smarter. Yeah, smarter, whatever it is. Yeah, beyond question. Yeah. And so we have a
bias for that, I think, in our world. And to some extent, there's something good about that, because we do want to
think about, you know, let's be logical about it. But what we both know is that you can write
algorithms to tell you any kind of thing, frankly, depending on what you might want to be doing
with it. And you can do it accidentally. So actually, in the course that we're going to be doing
next week, we're going to be doing a simulation where, in fact, people have no intention,
they're not trying to be biased or whatever. But just because you enter in and you create the
equation in a certain way, turns out you're going to discover that you have set up a situation
where your business is now discriminating against women.
You haven't collected any data about women or anything,
but it shows up that when you look at the impact of it,
women are really at a disadvantage in dealing with your company.
So we're going to demonstrate this through this simulation.
It's just a simulation about figuring out how you're going to deal with certain customer data,
et cetera.
But it doesn't always happen because it depends on what the executive is actually put into these equations.
But for 90% of them, it ends up that they have now discriminated.
against women in their business because of the choices they've made of what to look at in that
algorithm.
So one thing we want to show them, it's not about whether you are well-intentioned or not
well-intentioned.
It's just that you need to understand how things are related to each other.
So I do think that that's something that I think you do want to learn as an executive
or anybody who's doing digital is that.
But I think the other thing is because there is so much respect on the one hand, particularly
in business, for numbers and things that look like they've been done in a very very,
scientific way. I think what happens also is people who come at it from another way,
you know, have a different learning model or way of seeing the world are more circular as opposed
to linear in their thinking. They actually can feel like they feel kind of stupid and they're a little
bit afraid to ask questions. So one of the things, and I want to add another piece to this,
so one of the things we talk about is that when you look at organizations that are able to do
digital transformation and use the data and the way we're talking about or use the tools, not just data,
what you see is in those organizations,
people actually understand
that they also can be innovators.
So the reason why, going back to this whole idea of collective genius,
it turns out in one of the companies we were studying,
the leader kept saying,
we all need to be innovators or whatever it might be,
but people associated innovation with technology.
So every time they heard the word innovation,
particularly in the U.S.,
it meant technology, like Silicon Valley.
Well, I'm not comfortable with technology.
I'm not a technologist, so you're not really talking to me.
So finally, one of the things that he would have done this on his own,
finally, he invited me to come say something to the group because I'd been collecting data on them.
And I defined an innovation as anything that is new and useful to the company, anything.
That's what I see in companies that are able to innovate, do more breakthrough innovation.
It doesn't matter if it's incremental, breakthrough, product, service, experience, way of cutting costs, whatever.
once you actually open that definition
and people think, oh, I'm allowed to do this.
So then when they are working with these tools,
because one of the other things that was happening
is that even though they had all these digital tools and everything,
they didn't think they were supposed to be trying to do
any innovation or problem solving with it
because the digital people do,
and I'm not one of those people.
And then when they heard, oh, all of us can be this.
So if I decide and make a decision that if we actually do this this way,
that can be an innovation,
oh wow, I'm happy about this.
This was a scientific company.
And what ended up happening is, you know,
a lot of science companies they have with posters.
So they have these events where they celebrate innovation
and all the scientists or technologists
were putting up posters about things they had done.
The people who worked in other jobs that weren't science or technology
never had posters.
But once they heard about new and useful,
they started saying, does that mean we can bring posters
to that event at the end of the year?
And they began to bring posters about ways in which
they had figured out, taken out, quote, the white space to reduce the amount of time it took
to get a medicine to a patient or whatever it might be. It was process, et cetera. And so it just
opened up this whole world. And then they wanted to use the data. This is they wanted to be
informed by data. So I think, again, it goes back to the mindset you give people when they're
looking at digital stuff. If you say digital, oh, I'm not the digital one, then they already
feel left out. And as opposed to saying, these are tools to help you do your job better on
behalf of our purpose and who we think we serve. And you tell me what tools you need. Here's
some, how can we improve them, that collaborative approach. When you see a maturing company in terms
of the digital, they move to that, as opposed to having this group over here that does all the
digital stuff and then, you know, passes it on to everybody else and you all have to do it
the way we're telling you to do it. Would you say that part of digital maturity is integration?
Yes. It's integrated.
is so that the technology, I just was teaching earlier today,
as one person put it, technology people in process.
And so one of the choices you have, there's so much we could talk about,
but one of the things that we look at is there are six dilemmas
or paradoxes that must be managed when you're trying to innovate
and use these digital tools to do that.
One of them is just how much you're going to allow for improvisation
and how much you're going to have structure and centralized,
you know, have things be standardized.
So the organization we were looking at today that is using digital
is this unbelievable organization, Sam Park, in India,
that actually is looking at how to improve primary education in the villages.
And the person who is leading this is the CEO of a tech company.
He just stepped down a little while ago to start Sam Park,
but they took $100 million of their wealth,
and they're working with the governments in these certain villages,
for five years to try to improve education.
And the technology they need to use, their digital technology,
these are villages where there's no electricity.
So fortunately, there are cell phones.
There are a lot of people by mobile phones.
So a lot of the innovation is happening on WhatsApp.
Everything is very, very beautifully designed.
So again, one of the things that we were talking about in class is,
here you have these teachers.
Someone asked them, how do you get these teachers in these villages?
where there's no electricity, et cetera, to even use technology or think about it.
Not only are they now using it. There's a whole process by which they introduced it and helped
the teachers understand that they could be loved by their students. If they use their phones
with these simple tools to come up with ways, both to monitor how well the students were doing,
and at first when they were using it to monitor, the teachers got worried that it would suggest
they weren't being so effective. But then they began to see, no, it's a tool for helping kids
learn, and there was a whole process they used to get them to think that way, now the teachers are
coming up with their own innovations, creating these communities on WhatsApp, got them through COVID,
what are we supposed to do now? And they actually say, they now feel like they know how to use
technology to do their jobs, right? And I can't, I mean, they've touched the lives of millions of
children. They have improved. And it's by letting these teachers who don't know and are very
uncomfortable with technology, but they actually turned it into, they gamified it. They actually
used Bollywood. They created different images of music and dance, et cetera, to introduce them and
make them comfortable with it. But what I love is some of the teachers are now coming up with
innovations that they're actually using, they're selling to others, because they've come up with
something that you can use in your classroom for this little bit amount of money. You know, I will
provide it to you. So they're going into business. But the teachers also talking about technology,
I guess it doesn't feel digital.
What they actually ended up doing during COVID
is the main thing they were worried about
is that the children would not be seen as students anymore.
They'd be seen as workers, right?
Yeah, and that's a risk.
It's a risk because once you start getting them to come to school
and the parents to support this, etc.
So the teachers came up with the idea of,
this is technology, they went to whatever the religious organizations
were in their villages.
There's lots of, you know, sometimes it's a Hindu,
whatever it is. And they said, let's just use the loudspeakers to do our teaching.
A technology. These are just tools. That's what they were taught about technology. Well, one of the
tools we have in the village is we have loudspeakers that are connected to our chapels or our temples
or whatever it might be, right, our mosques. So they had the children get dressed up in their clothes,
like they're going to school because they want to keep them, they want everyone to think of them as
students.
Right?
And they would sit outside and they did it over the,
when the teachers figured out, let's just do it over the loudspeaker.
And we'll have the outside classroom.
So when you help people understand that these are all tools,
and there is digital behind back in the central headquarters,
there are servers and things that are helping get things to them on WhatsApp
or wherever it might be.
But people are so innovative when you give them these tools,
so they're invaluable.
So I would say that Sam Park, and I hope people who hear this, will go and look it up.
They actually are a digitally mature company.
They really, or organization, they have figured out how to get people to be comfortable with these tools,
to ask for different tools when they don't have when they need,
or to create their own tools that fit their circumstance,
because they have the contextual intelligence about what to do in their village.
What a beautiful and powerful example of how digital maturity
is about the relationship between tools and people
and the service of purpose,
not about the shiniest, biggest,
you know, I love ending on this.
I think I could talk to you for like 20 hours.
Will you do another podcast with this maybe in the fall?
I'm glad to, and I'll have even more sort of thought this out
because once I teach something,
and with team of us teaching something,
I have a much clearer sense of how to actually communicate.
So thank you. I hope I haven't rambled.
I'm scared you might pierce the podcast technology if you're any clear.
You are so crystal clear.
But I cannot let you escape without the rapid fire questions.
Okay.
Are you ready?
I might be.
Okay.
Fill in the blank for me.
Vulnerability is.
Admitting to yourself how you're actually feeling.
Beautiful.
A piece of leadership advice that you've been given that
so excellent you need to share it with us or so shitty you need to warn us. So excellent. Everybody
has a slice of genius. Everybody. Everybody has talent. Everybody has passions. Make sure you unleash
them. What is the one lesson for you personally that the universe just keeps putting in front of you
and you have to keep relearning, unlearning and relearning? You're not done yet. You're only,
you're not done yet.
You're half-baked, right?
There's so much more to be done
to get where you need to get
and to do your part in the world.
I'm half-baked.
I love that.
Tell us one thing you're really excited about right now.
I'll tell you one thing I'm really excited about right now.
What I'm really excited about right now
is I have a research associate,
a young woman, Emily,
and she just decided she's going to do her Ph.D.
at Harvard.
She had many choices, and they were all excellent.
And I didn't know that she would choose my own.
And I'm really excited about her because we're writing a book together.
We're going to be together.
And what really excites me is young people and figuring out how they're going to move forward.
So that's what I'm really excited about right now.
She just told me for sure yesterday that she's actually.
Oh, I love it.
Yeah.
I'm excited.
I am a professor, so that's what I love.
Yeah, congratulations to you and to Emily.
Well, congratulations to her.
Congratulations to Harvard for having her come be with us.
I love it.
Tell me one thing that you're deeply grateful for right now.
Oh, there's so much.
I'm going to actually say my husband.
But there's so much.
I'm choosing between my husband and my son.
You know, when you dedicate a book,
you always have to figure out who you're going to do.
I'm deeply, my husband has been marvelous,
and my husband is so much I'm grateful for.
We've actually been married for 41 years,
which is hard for me to believe.
And when you, you know, asked about my favorite songs, one of them, the Dvorajac song, he was a classical music person. I wasn't at all. But that's, we kind of fell in love to that music. So he's been marvelous. He's a pediatric cardiologist. And he's been working so, so very hard within his colleagues during all of this. And he still has, he's been such a good father and a good husband. So I'm feeling quite blessed about that.
It's beautiful. Okay. Speaking of your mini mixtape, you gave us these.
five songs. You ready?
I know. Very hard.
Mercy, mercy, mercy me, my Marvin Gay.
Yep. For good from Wicked.
Mm-hmm.
I want to dance with somebody, Whitney Houston.
Symphony number nine from the New World.
Is that Dvorjak?
Devorjack.
Mm-hmm.
And then all the single ladies, all the single ladies, all the single ladies, all the
single ladies. Then Beyonce.
In one sentence, and I have to always warn academics, no compound sentences,
run-on sentences, or paragraph long sentences.
In one concise sentence,
what does this mini-mix tape say about you, Dr. Linda Hill?
I am a complex individual with so many sides that must be fed.
Boom.
Crushed it.
You crushed it.
But that may have been compound.
I don't know.
You're asking anything I referred to do it.
It was a tough question to ask my five songs I could
live with life was very difficult. They're great. I mean, mercy, mercy, me by
Margaret Gaye, come on. You know, I keep hearing that song. I think that goes to how I'm
dealing with anxiety. That whole album, you know, if you'd ask me albums, it'd been slightly
easier for me, but I have to say, if I close my eyes and hear his voice, it just takes me to the
time. And it's also sad, because obviously what happened to him. But I don't know, that song
actually calms me. I don't know. It's a very powerful. His voice and everything about it.
What would be the word for it? Maybe you can come up with it. There's mercy, mercy. I mean, we all
need mercy. I think that's what I think the message of it. And the way, I mean, his voice is just
such a beautiful voice. It's a balm. Yep. It's like a healing palm, that song for some reason.
Yeah. Well, Dr. Linda Hill, you are doing incredible work. We cannot wait to talk to you again.
Oh, thank you. My pleasure. I'm so grateful for the time you spent with us today, and we can't wait to have you back on Dare to Lead. Oh, I appreciate it, and it's really a privilege. So honor to be with you, and I'm grateful to have all of these kind words.
Ooh, I learned a lot. What a good conversation. You know what I live the most? Because this is where I am with my organization right now. I've got no vision. I've got a purpose, but I'm going to do some really serious thinking.
And I'm going to co-create a new vision with my team.
And being in the question and not having the answer has never felt more powerful because I am clear about purpose.
So I just really, I love this conversation.
You go to brunny brown.com and go to the episode page.
You find links to Linda's books, her TED Talk, how to find her work.
Everything you'll need will be right there.
We are so glad you're here.
stay awkward brave and kind.
Dare to Lead is produced by Brene Brown,
Education and Research Group.
Music is by The Sufferers.
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