Hidden Brain - The Secret to Great Teams
Episode Date: September 25, 2023It's easy to think that the best teams are collections of highly accomplished or talented individuals, working under a skilled leader. But that's no guarantee of success. Psychologist Anita Woolley sa...ys the best teams are far more than the sum of their parts, and they share certain basic characteristics. Do you know someone who would enjoy Hidden Brain? Please tell them about this episode. And thanks for listening! Â
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This is Hidden Brain, I'm Shankar Vedanta.
We all know what it feels like to work on a great team.
People like and trust one another.
Team mates communicate with each other.
Meetings are crisp and effective.
At the end of the day, things just get done.
We've all been on bad teams too.
Here, interminable meetings become a substitute
for doing actual work.
People undermine and undercut one another.
Productivity is low and morale even lower.
There is something mysterious about great teams.
We know what they are when we see them,
but how exactly do they come together?
Is there a way to figure out the secret sauce of great teams and build teams based on this recipe?
Today we take a deep dive into the science of teamwork. We'll explore one of the most common errors
we make in constructing teams and what effective teams do in order to punch far above their weight.
and what effective teams do in order to punch far above their weight.
How to build great teams this week on Hidden Brain.
There are times in our lives when we become lost in the things we do. Time vanishes.
Minutes pass then hours.
We don't notice that the sun has set or that we forgot to eat lunch.
Psychologists sometimes call this a state of flow.
Now, flow is supposed to be an individual state, but the same thing sometimes happens on
effective teams. We feel in sync with other
members of our group, tasks get done almost effortlessly.
At Carnegie Mellon University, psychologist Anita Williams-Woully studies the science
of teamwork. She has explored not only why some teams click, but why others don't. It
turns out you can learn a lot by observing teams where people are constantly
at loggerheads. Anita Woolly, welcome to Hidden Brain. Hi thanks for having me.
Anita, I understand you grew up in a small town in Maine and at the age of 14 you got a job
waiting tables at a local restaurant and it gave you an early glimpse into the nature of teams.
What were your co-workers like?
Oh, well, it was definitely an interesting employment situation. I'd had other jobs before
this, but was really excited to be a waitress. There were a variety of people, some of whom were
older. I'd been working at the restaurant longer, and then a couple teenagers like me,
and the old timers sometimes were a bit annoyed
by some of the younger ones, maybe a little threatened,
you know, that we wouldn't come in
and take their tips or whatever,
and so it could be a little challenging
to work with them and get along.
She quickly learned a tiptoe
around one coworker in particular.
Yeah, so she'd been there the longest
and she was just somebody who I think
was easily frustrated and she just would wanna,
either tell us what to do or blame us for problems
or find ways to point out the problems or mistakes
that we were making as a way, maybe of keeping
us in our place.
I need to remember one day at work when things came to a boil.
So New Year's Eve, lots of people, lots of different things happening.
Everybody needs help at some point.
She had a way of sort of barking at you if she needed you to do something, regardless
of what you might be doing.
And so one of the things she barked at me about was she wanted me to make drinks for her table.
At that restaurant, the waitresses made the drinks.
And I had no idea how to make drinks.
I had a few recipes in my pocket.
And I didn't really know what the drink was.
She wanted me to make, but I didn't want to ask her because I knew that was just going to be
really negative to have her yelling
at me in the middle of the restaurant. So I just kind of made it up. I was like, okay, that kind of
sounds like this. And apparently it was terrible. You know, it was worse than if I just asked her,
but there were lots of episodes like that with her because of just, you know, how aversive or
difficult it was to really interact with her.
And of course, when you made the drinks,
the way that you thought the drinks should be made,
when you just basically essentially made it up,
the customers probably said,
this might not be a restaurant we want to come back to,
whether or not they actually said anything aloud.
That's right, I mean, in a small town,
especially is a really big problem. And I think you know if a
customer is drinking something that tastes really strange, you know they might even wonder about
the safety of the things that were serving them, let alone the quality. So Anita after you graduated
high school you went on to college on an ROTC scholarship.
This is a scholarship where the government helps pay for your education and you commit
to serving in the military for a length of time after you graduate.
You attended a training camp at Fort Bragg in North Carolina that gave you another insight
into the nature of teamwork.
What was it like to be a female cadet?
It was challenging in ROTC because everything was designed with men in mind.
So the clothing, for example, our uniforms were all designed for men,
so boots were wide, pants didn't have wastes, you know, that kind of thing.
And also, I was often the only or one of only a few female cadets.
Also, the activities were designed for people who have more upper body strength or who
have certain physical attributes.
I understand that there was a training exercise where a squad had to essentially get from
point A to point B. And this was had to be done in a limited amount of time
with everyone carrying a lot of equipment.
Give me a sense of how your team handle that challenge
and what happened.
Yeah, so this exercise, they call them stragg lanes,
where a group of maybe 10 or so people,
you have different obstacles.
And there was a male cadet who was in charge.
He had to lead us through this thing to get everything over this obstacle.
And he just had assumed that okay, these couple of females we have, they're not
going to be any use. We just have to work around them.
So I'm just going to lay it out and get these other guys to do it and we'll
you know, work around them, essentially.
Not really wanting to listen to any input or ideas from anybody and just thinking he had
to decide it all himself.
And what happened?
Did it work?
It was a disaster.
Because as it turns out, I mean, there were things that the women could have done to help,
as well as things the guys couldn't do that he was assuming they could do.
And so we had people, you know, equipment that couldn't get over the wall.
People got left behind, time ran out.
It was, yeah, it was a pretty big disaster.
If it had been a real situation, we probably all would have died. When she was in college Anita had taken a class with a professor named Richard
Hackman. He was a researcher who studied teams. Richard Hackman really introduced a lot of
important insights about teams but the thing that was striking to me, related to the fact that there were a lot of components of teamwork
that didn't have so much to do with what the people knew, as much as the ways that they
were coordinating their inputs together.
And he had lots and lots of examples in his course that I found totally fascinating of, you know, brilliant people put together
to fly an airplane to, you know, perform in an orchestra. I mean, he studied a lot of different
interesting situations where they're very talented people, but failures in their collaboration and in their teamwork
in ways that you wouldn't expect.
And I'm imagining this is sort of,
this must have run counter, not just your assumptions,
but to a lot of other students in the class.
Because again, the idea that you put a lot of brilliant
people together and you get a brilliant team
that seems so intuitive.
Absolutely.
And also another piece of it that was enlightening was the fact that it's not all about the leader.
And I think especially younger people have the idea, at least at the time, and certainly in ROTC, that the leader makes all the difference.
If the leader knows what's going on or knows what to do, then everything else will be fine. Whereas Richard also had a lot of examples showing that it wasn't just about the leader.
You really needed all the team members to be contributing and actively collaborating
for things to come together.
When it comes to building great teams, many of us leap to understandable assumptions.
Get the smartest, most talented people together, put them under the leadership of an effective
leader and you build a great team.
But the research that Anita was studying challenged that conventional wisdom.
When we come back, the errors we all make in building teams can cost us on the sports
field and in
office settings.
They can also have life and death consequences.
You're listening to Hidden Brain, I'm Shankar Vedanta.
This is Hidden Brain, I'm Shankar Vedantan.
It seems like simple arithmetic.
If people are ranked on a scale of 1 to 10 and you build a team of tens, you should have
a standout team.
Each individual is smart.
When you assemble a bunch of superstars, you should get a superstar team.
Unfortunately, human behavior is more complicated than that.
At Carnegie Mellon University, psychologist Anita Wolley has studied why arithmetic is
not always a good guide to psychology.
Anita, we often see that teams have everything going for them.
They're filled with brilliant people who know each other well, they're motivated to succeed,
but very often they don't, and at a national level, this can sometimes have
catastrophic consequences.
Tell me about the team of the best and the brightest
that President John F. Kennedy put together in the 1960s.
So Kennedy put together a group of people who he knew,
he trusted, they were really accomplished.
People like Robert Kennedy, of course.
There was Arthur Sleshinger.
There was Robert McNamara.
People that we heard about a lot before and after
in terms of their individual accomplishments
and definitely seemed to be set up to work together well
and advising him as this cabinet.
But this team of superstars ended up making a number of very serious mistakes.
One was the botched invasion of Cuba on April 17, 1961.
The invading army was a group of Cuban exiles trained by the CIA.
Their goal was to overthrow President Fidel Castro and his revolutionary government.
Anita says it's a classic example of what can happen when a lot of smart people on a team
have the same biases and blind spots. They had a plan to land at the Bay of Pigs and move
into the country and displace his government.
And they thought the Cuban people would be aligned with that and supportive of that and
be happy to see the Americans come.
But there were a lot of indicators to suggest that maybe they were overlooking some opposition,
some opinions, even within Cuba that wouldn't necessarily see this as a great thing.
But these weren't really raised in the discussions, or not enough to cause the president to reconsider
his plan.
The attack was supposed to be secret, but unbeknownst to the White House, the Cuban government
learned about it ahead of time and prepared accordingly.
The Cuban military quickly surrounded the invaders, taking most of them prisoner.
Now all of a sudden, Fidel could even make a case for why the U.S. was actually the enemy. And so they kind of went into it with some assumptions about how it would be received and how
successful it would be without really considering the opposition in assumptions about how it would be received and how successful
it would be without really considering the opposition in the ways that it might be counterproductive.
So two or three decades later, the United States faced another disaster, the explosion of the
space shuttle Challenger. The physicist Richard Feynman was appointed to investigate what happened.
He concluded that while rank and file engineers were raising questions about the missions,
their managers, under pressure from Congress to show results, didn't listen.
It's another example of a team composed of very brilliant people.
I mean, in this case, literally rocket scientists, and they're failing to coordinate and
work well together
as a team leading to a major disaster.
So the pressures they were operating under in that case,
there was a lot of pressure for them to move ahead,
with a launch.
It had been delayed several times.
The public was calling into question
the amount of money being spent on the space program.
And so they were very motivated to find a way to move forward,
to not delay again, and were then motivated
to discount any objections that were being raised,
which we do know in that case, there were some concerns
being voiced.
They weren't being voiced by somebody who was very senior in status in the group,
but we know now that those concerns were very valid and what was being described,
in fact, did happen.
I understand that you yourself were involved in understanding how the terrorist attacks of 911 occurred and how to
prevent similar attacks from taking place after 9-11. With your mentor Richard Hackman, you took part in something called project
looking glass where groups of scientists pretended to be terrorists and members of the US intelligence services
tried to foil attacks. How did these games unfold Anita?
Well, they were fascinating exercises
where we would convene two teams to basically work
against each other in some ways.
Many times what these exercises would focus on would be
a threat from the past.
Sometimes we would know how it had panned out sometimes not.
And in some cases, the personnel were kind of adopting the goals and the motivations
of the folks that might be trying to carry out an attack while others would be trying
to then figure out and prevent the attack from taking place.
And very different dynamics would develop in the two groups on the basis of their role,
which I think itself was quite insightful to notice how that happened as a function of what they were trying to do.
Was it the case that in fact, the terrorists regularly beat the spies?
Yes, and some would say,
that could be expected, right?
You have the benefit of surprise
when you're on the offense,
but it was also true that taking that perspective
on the situation, let them to just really think creatively in some ways,
and really focus on what they were trying to carry out
and make really good use of the opportunities that they saw,
and so the dynamic was much more creative and exciting
in those teams, and they did regularly come up with things that the other team didn't
detect or make plans to prevent.
One of the things that you were trying to do with this project looking glass in ETA was
you were trying to address essentially a shortcoming that had been identified among US intelligence
agencies, which is that it seemed to be the case that different aspects of the US intelligence
agency network had information about the 9-11 attacks, but they didn't share this information in a way that would be useful
for other parts of the system. Talk a little bit about this idea that you were trying to solve. It wasn't just a question of
getting the information, but it was also a question of, is the information getting to where it needs to get?
Yeah, absolutely.
So the 9-11 commission that took place for quite some time after the attacks, one of the
major conclusions was that there was a failure of collaboration.
They didn't connect the dots.
You know, as the cliché came came to be known and people in different
agencies and different pockets of the broader intelligence community, either not sharing
the information or not reaching out to the right people to make sure they had the information
or realize the implications of the information that they had.
And so, you know, hindsight is always 2020 as they say,
but even moving forward, it was clear that there was
some real problems and they were multifaceted,
keeping people from being able to integrate
the different pieces in the ways that they needed to.
And I understand that you did some work at the micro level
sort of looking at individual teams,
counterterrorism, task forces,
the defense intelligence agency.
And sometimes even at the level of individual teams,
individual meetings, you were spotting some of the same problems
that were manifesting themselves at the much larger level.
That's right.
When we brought together some of these task forces, for example,
it really was a microcosm of
the larger community.
People came in, they were very closely identified with their own home agency.
Many of them had spent their careers there.
They had perceptions of the other people based on what agency they were from.
In some cases, some of these are military or have other
affiliations, they literally wear their identity, you know, on their on their shirt, you know,
making it very clear how they're different from the other other folks. And so some of the usual
areas of focus, goals, priorities of their home agency would override things that would make more sense
if they were really focusing on their work with the team.
So around 15 years ago Anita, you set out to solve the mystery of why some teams work and some
teams don't, and you brought people into your lab and organized them into teams and gave them a series of tests. And in some ways this was like an IQ test except it was an IQ test
for teamwork. Could you explain what you did? So when we give individuals an
intelligence test and of course there are a variety of different ones out there
now. Essentially we give them a sample of problems that
tap into maybe a few different processes that capture
a basic capability.
And together can represent the capability of the individual.
And here, in thinking about it with teamwork,
what we wanted to do was give the team a set of team-based tasks or problems, so
things they had to work together to solve, but that would require them to work together
in different ways, to capture fundamentally different processes, and things that you
wouldn't necessarily assume that the same team would be good at.
So, you know, very mathematical, kinds of problems alongside very visual, creative kinds of problems
or verbally oriented problems or things that required precision and accuracy and speed
to kind of get at all of these different ways that a team would have to combine their inputs
to successfully solve a problem.
So one of the things that you drew from these exercises was that just as we think about individuals having an intelligence quotient or an IQ, you could also think of groups having an
IQ. This is a bit of a mind-bending idea because of course groups don't share a single brain,
but explain what you meant by this and what you found in this study, Anita.
We definitely were initially inspired by some of these ideas
from individual intelligence, which, abstractly speaking,
you could say is the notion that the human brain is a system.
And intelligence is characterizing how, well,
that system functions.
And so then we started to think more about what does that mean? How would you capture that?
It does that exist, actually, because at the time when even teams
researchers thought about intelligence and teams, it was as a function of the
intelligence of the individual members.
So this idea that there would be a capability of the combination of people
working together that was separate from the individual intelligence of members. So this idea that there would be a capability of the combination of people working together that was separate from the individual intelligence of members. That was
not really an idea that had been tested. So researchers who study intelligence at the
individual level have long noticed that you know a kid who does well in math will often do well
in history and often do well in languages and they've made the case for something called general intelligence, a kind of capacity that allows you to perform well in very different tasks.
In some ways, you were trying to measure the general intelligence of groups.
Yeah, that was kind of the initial hypothesis, if you will, because based on what we knew from
the research at the time, we had a lot of different studies looking at
how does a group interact to be creative
versus how does a group interact to be very accurate
and precise and efficient.
And the ways that teams would interact
to do both of those things well look very different
and suggested that maybe you wouldn't have the same team
doing both of those kinds of things
or expect them to do equally well
at both of those kinds of things.
And so we were really testing a hypothesis
that perhaps there is a consistent ability
to work together that would characterize a team
even across those very different kinds of
tasks.
Did you find that in fact some groups are consistently effective while other groups are consistently
ineffective?
Yes, yes we did.
And that was really the fundamental hypothesis that we were seeking to test, that there
was this consistent ability of certain teams that, you know, work well
across all of these different task types. And of course, then, there were teams that
did not work well across all of the task types.
And of course, what this then suggests is that they must be something that is actually
either undermining or supercharging the effectiveness of different teams.
And the search was presumably on now to determine what it was exactly that made teams so effective.
And of course, one theory that we've looked at before is that effective teams are filled with people
who have high IQs. This is, of course, our commonly held belief. Did that hold up to scrutiny?
Even though we had a ninkling that it wouldn't be all about individual
intelligence, we thought that there would be a fairly sizable role for individual
ability to play. So we were surprised to see that individual intelligence didn't
have as much of a relationship with the collective intelligence of the team as we,
as even we kind of expected it would
So if it's not intelligence people might say well, maybe it was the personality traits of the individuals in the group
Is it possible that the personality traits determine how successful a group was the general intelligence of the group?
We didn't really see a consistent, strong relationship with any particular personality traits.
Sometimes the problematic personality traits like neuroticism would show up as something
that was a negative correlate of collective intelligence, but often it wasn't a very strong
relationship and it wasn't very consistent across our studies.
Anita, sometimes when we are on successful teams, we often feel like we're all rowing strong relationship and it wasn't very consistent across our studies.
Anita, sometimes when we are on successful teams, we often feel like we're all
rowing in the same direction.
And in some ways you examine this question.
Does the feeling that we have cohesion with others make for better teams?
So it turns out that was another surprise and continues to be surprising actually.
Some of the other usual suspects
and looking at teamwork would be things like
cohesion, satisfaction, liking,
or even self-report motivation,
how motivated are you to work hard.
The cohesion went in particular,
it was very interesting because,
given my background in ROTC,
the military talked
a lot about cohesion, unit cohesion as being a main driver. And we found no correlation
with collective intelligence and we still don't. So when we ask people about, you know,
how satisfied are you in with your experience in the group, how much would you want to come back and work with this group again?
Or would you want to spend time with these people socially?
I mean, there are a variety of ways that psychologists get at this notion of
groupiness, if you will. We did not see any correlation with collective
intelligence. So there were certainly some teams in our
studies and some teams in our studies and
some teams in the world where members enjoy one another and they work well together.
But that's not always the case. And certainly there can be people, groups that
work together very well and they respect each other, but they're not interested in hanging out
beyond what they're doing and they're work together.
And I've certainly been in groups
where we're all very friendly and like to hang out
but we're not very productive.
And so I think it's a common perception
that we need to build teamwork and cohesion
and build relationships as a foundation
for productive teamwork.
And that's not necessarily the case at least, not in our studies.
So it's not about how people feel about each other.
Where do you think the assumption comes from and why do you think it goes wrong?
If we've been on a team that worked really well together, often we have good
feelings about that, good memories.
Maybe they, it did involve people that we either
liked at the time or came to like eventually. But the causation, the direction of causality is
the part that I think is hard for us to always really detect. And in fact, that was one of the
points that I heard early on in taking Richard Hackman's course that really struck me where he,
I was going back through my notes recently and very early on, I had a lot of
underlining in some of my assignments about, is it the fact that team members like each other
and that leads them to perform well or do they like each other because they performed well?
And he was making the argument that it was more of the latter.
In other words, you know, in sports teams, they sometimes say nothing brings a team
together like winning. And in some ways, that's what you're talking about.
When you're winning and things are going well, it's easy to feel like everyone,
you know, is marching shoulder to shoulder. Exactly. And I, the problem is, if you
then use that as a way to problem solve and to make the assumption
that the way to make the teamwork together well is to get them to like each other, I think
that's the flaw in reasoning that sometimes is a problem.
What's remarkable here is that we've looked at a number of different conclusions we might
draw about why some teams are more effective than others? And it's actually kind of striking
how often our intuitions are wrong,
or at least not supported by the evidence.
Well, teams, I think we're coming to understand
are really complex adaptive systems.
There are a lot of complex relationships
that are not linear.
They're not direct one-to-one correlations. complex relationships that are not linear.
They're not direct one-to-one correlations. There are a lot of things that work in combination
and moderators and interactions and so on.
And I think the human mind can't necessarily
intuit all of that.
And so we see the beginning and we see the end
and maybe we assume there's a straight line in between
when there isn't.
Many people ex-told virtues of individual intelligence,
feelings of camaraderie and cohesion,
but these things do not always determine the effectiveness
of the groups that Anita studied.
When we come back, what does matter? You're listening to Hidden Brain, I'm Shankar Vedantam.
This is Hidden Brain, I'm Shankar Vedantam. Psychologist Anita Wolli studies the science of teamwork.
Over many years of research, she's found that the things we commonly associate with great
teams, individual intelligence, a feeling of cohesion and camaraderie are not always
good predictors of what makes for great teams.
Anita, you have found three characteristics of great teams.
The first of these has to do with a gender composition of teams.
How did you come by this finding and what did you find?
I feel like as we talk about this research, I keep saying,
we didn't expect this and we didn't expect that.
This is another one of those.
We conducted a series of studies in our initial exploration
of this whole collective intelligence hypothesis. A graduate student on the project noted a correlation with a proportion of
women in the team and collective intelligence. And I was the one who initially
said, oh, you know, I don't know. Let's see if that holds. Like, we shouldn't make a
big deal about that until we know, you know, whether or not that's a really
consistent pattern. and it was.
And then as we dug into it more, we found that there were some other characteristics
specifically of women that were really making a big part of the contribution to collective intelligence.
So if having more women on a team leads to high levels of collective intelligence, does this mean Anita that having teams entirely comprised of women are the best teams?
Well, no. So as we've kind of gone on and accumulated more data, what we started to see really more clearly was a curvilinear effect, if you will, where teams that had majority
female, but were still gender diverse, if you will, not entirely male or female, the
teams that had majority women were most collectively intelligent.
So the finding that having women on the team improves the outcomes of teams was connected
to a perhaps larger phenomenon that you also observed, which is the capacity of teams to
engage in social perceptiveness.
What do you mean by that phrase on ETA and how would it work?
So social perceptiveness is really a capability that individuals possess to pick up on subtle
cues and draw inferences about what others are thinking or feeling.
And in teamwork, that can be really helpful because it also helps individuals anticipate
how others might react and, you know, to kind of use that information to facilitate the communication and coordination
of the group. And so somebody who is more socially perceptive might notice, okay, well,
I'm talking too much. Maybe I should stop and let ask somebody else what they think. Or
gee, we're not hearing from, you know, this other person. I wonder if they agree with what we're saying
or if they have some points that they don't agree with.
You know, a whole variety of different tendencies
that go along with social perceptiveness
that also facilitate the collaboration of the group.
So in some ways, I think what I'm hearing you say is that,
you know, effective groups are groups that pay attention in some ways to one another.
And perhaps the gender is sort of a marker of it, but it's only a, if you will, a crude
marker of sort of what we're really trying to get at, which is that effective groups
really are paying attention to one another and picking up on cues that people are sending
to different members of the group. That's right.
So, the gender effect is really capturing that when you have individuals in a team who just
have a habit of being attentive to the needs of other people, of responding, or anticipating
what they might need, of maybe taking a step back and giving somebody else the floor
and also stepping up to help when they see that somebody else needs help. All of those kinds of
tendencies are things that foster collective intelligence in a group.
The finding is mirrored by what Anita found when she explored how often individual spoke
in group settings.
Teams with higher levels of collective intelligence usually didn't have one person dominate the
conversation.
Yeah, so the consistent finding is that groups that are more collectively intelligent, they
don't have the conversation dominated by one or a few people, you don't have all the work being done
by one or a few people.
There's roughly equal involvement in the group's
collaboration.
You've looked at how the user video platforms like Zoom
might affect the equality of team members' contributions.
So what do you find?
So we decided to just try using manipulation of whether or not the people collaborating
could see each other on a video conference or just hear each other.
And what we found was that the video conference actually seemed to reduce collective intelligence and one of the ways that it did that is it disrupted synchrony and sentiment.
You know, if you're happy and I'm talking with you,
my voice should reflect the happiness, you know, that you're communicating.
And we tended to see that less when there was video in part because
it really seemed like people were distracted, perhaps
by the video, and also led to actually more unequal contribution to the conversation.
There were certain people who were actually more likely to dominate the conversation when
the conversation was taking place by video.
A very interesting finding Anita has to do with the average level of social
perceptiveness in the team. In another study led by some of your frequent
collaborators, they looked specifically at the member of the team who scored
lowest on social perceptiveness. Why did they do that and what did they find?
So what they found was that the lowest scoring member, if you will, was really the strongest predictor
of the collective intelligence of the team.
Because when you have somebody
who is really not paying attention to these cues,
the disruption that it creates
can really offset all the benefits
of what the others might be doing
to try to facilitate collaboration.
And it echoes some other findings
in the general research literature about bad apples,
spoiling the barrel.
When you have one person who is particularly problematic,
the disruption it causes can really be
some have a disproportionately negative effect
on the team overall.
I mean, I'm thinking about what happened to you
in that restaurant when you were a teenager.
And some ways having sort of one coworker
who was really grouchy meant that,
you know, other people simply stopped communicating
with each other.
That's right.
And it could be that everybody else was perfectly capable
of collaborating well or very, you know, competent
and we could have been a well-oiled machine. But as soon as we were, you know, withdrawing
and not going to ask any questions or expose any mistakes, if we could possibly avoid it,
that really cut off a lot of other possibilities for better performance.
There's another kind of perceptiveness that matters to collective intelligence, and that is an awareness of what other people know and where to get the information that you need.
This idea is sometimes called transactive memory, and it's a term coined by the late psychologist
Daniel Wagner. Can you tell me about this idea Anita and how he came up with it?
and Neil Wagner, can you tell me about this idea Anita and how he came up with it?
Wagner initially noticed this in his own relationship
with his wife where they recognized that there were
a number of different areas of their relationship
or even their shared experience where they would sort
of specialize in remembering different details.
And so whether it was about how to take care of different household things or even in
recounting events, you know, that they had experienced together. They would each, you know, remember certain details and together
they had quite a complete story, but it inspired him. He first looked at this and in other close couples
and but then over time others have generalized these ideas
and looked at them in teams and other settings
and found very similar patterns.
The more effective teams, even outside of awareness,
they don't necessarily know they're doing this,
just like the married couples
don't necessarily explicitly know,
but they would fall into a pattern of coordinating
and really
expand the total amount of information they could collectively manage.
I understand that one of your colleagues at Carnegie Mellon has found a robust
transactive memory system among doctors is associated with better outcomes for
their patients. Can you tell me about that work? Yeah, so Linda Argoady, who's one of my colleagues
at the Tepper School at Carnegie Mellon,
was looking at doctors working in trauma units
and their work together in the implications for their patients.
And what she found was that keeping the same members together
helped them form a transactive memory system
where they
would specialize if you will in small ways, sometimes imperceptible ways, to focus on
different details of the patient's care, and the patients who were being treated by teams
that developed these more effective transactive memory systems actually had better outcomes. They were in the hospital for a shorter time. They were
discharged more quickly, which is an important marker of the quality of care they've received.
It was an important insight for thinking about how even medical teams can be affected by
these very kind of subtle effects. I'm wondering what the idea of transactive memory means for
the common belief that fresh blood is often good on teams.
So you and I are members of a team. We work well together for long periods of time.
But you know, one of us leaves and now a new person comes in and joins the team.
What's the effect of this? What's the effect of turnover versus stability
on the long-term success of teams?
This is something that has been debated for quite some time.
In fact, there was some research and R&D teams
done in the 1980s, showing that teams that were together at that time
up to five years would continue to improve in terms of the quality
of their outcomes and their communications,
at least that long before you would see this kind of drop-off,
where things might get stale, where they fall into routines,
they don't recognize that they're using sort of outdated approaches.
And so while bringing in somebody new can certainly bring in
a new perspective or enable a team to consider some additional
ways of addressing problems, teams also benefit from being
together for a good period of time so that they can learn how
to work together so that they can learn how to work together, so that they can develop these shared systems
for organizing and coordinating such as a transactive memory system, especially actually
when we're learning something new.
When we learn something new in a team, there's a lot about learning how to do it together
that is important.
And when we then change members,
we really disrupt that process.
And so other research and hospitals,
Amy Edmondson has looked at surgical teams
and how keeping them together,
especially as they're learning a new procedure
can be important.
And that when you change the membership of the team too often,
and in fact, most organizations create changes in teams
very often, you really disrupt a lot of these processes
that could otherwise be very beneficial.
I mean, what I'm getting from this conversation
really is the complexity of how teams come together
and what makes them work.
And I like the analogy you raised earlier
about a team as being the equivalent of a single
human brain which has different sections and regions that each do different kinds of things.
And if you use that analogy, it's easy to see, taking out the limbic system, for example,
might not result in a brain that suddenly does very well because it's actually connected
to all kinds of things that other parts of the brain are doing.
Exactly. And so if I decided, oh, you know, I wish I had a better memory. And so I want to transplant this other memory, you know, that is objectively a better memory into my brain.
I don't think we would expect it to work well with the other parts of my brain, you know,
and seamlessly. All of a sudden I have this better brain.
In essence, yes, I think the analogy with teams can be useful.
I mean, in some ways, I think the arrow we make in teams is thinking about the team as being
modular as basically the sum of its parts, whereas what I think you're really pointing at here
throughout this conversation is that the team is really more than the sum of its parts, and
swapping parts in, swapping parts out
or the parts don't talk to one another,
it can really affect how the collective performs.
Absolutely.
And so the collective intelligence really is produced
from the coordination and collaboration of the parts.
And so it's not plug-and-play for those parts.
And necessarily, there's a fair amount of learning
that goes into
finding those processes and finding out what works.
I mean, in some ways, I feel like the ideas that you're talking about are really applicable at
almost every level, whether they're personal or professional or the level of communities or
nations, which is, you know, how do you collaborate with other people? How do you get to work?
Well, with other people, how do you have, you know, how do you actually get to share information back and forth in a way
that would be helpful to other people? Absolutely. And I think a lot of it, I mean, just over and
over again, you see the importance of not only people showing up with their skills and capabilities,
but respecting and valuing the capabilities of the other people in such a way
that both they will let themselves rely on them, as well as admit to where they could use some
help. And I think the other way that it shows up all over the place is also being willing to ask questions and just clarify, you
know, what are we doing? Why are we doing it? Because I think even in some of the
big historical examples of failure, if somebody had spoken up and sort of just
said, okay, hang on a minute, like what are we trying to do? What do we think we're
going to accomplish? Is this really the best way to accomplish that?
It might have caused people to rethink some assumptions they had about what they were
trying to do or how it would work.
And so I think over and over again we see in the collectively intelligent groups that
you have people who are willing to do that.
Anita Williams-Willey is a psychologist at Carnegie Mellon University. Anita, thank you for joining me today on Hidden Brain.
Thanks for having me.
Hidden Brain is produced by Hidden Brain Media.
Our audio production team includes Bridget McCarthy, Annie Murphy
Paul, Kristen Wong, Laura Quarelle, Ryan Katz, Autumn Barnes and Andrew Chadwick. Tara Boyle
is our executive producer. I'm Hidden Brain's executive editor.
For today's Anzang Hero, we bring you a story from our sister's show, My Anzang Hero.
It comes from Lidy Clots.
My high school had always gotten crushed in soccer by the West Hill Warriors.
We saw them as the rich kids from the city.
One of their fathers took work calls on the sideline on the first mobile phone I ever saw.
But my group of friends lived for soccer and we had supportive parents too.
One of our parents parked a hay
wagon on the sideline so that they could get elevated video footage of our games.
And by the time we played West Hill my junior season, it was time for us to finally beat
them. And I'll never forget, we're already ahead in this game, tut enough thing, when
I drooled past my defender near the halfway line and made a backdoor pass to my friend
who scored, which effectively ended the game.
And I was so excited.
As I ran to celebrate with my team,
I screamed right in the face of West Hill's best player,
a tall, blonde midfielder named Jeff Wentland.
And Jeff was a big reason why we could never beat West Hill.
He was skilled and smart and ultra competitive.
I mean, he was the kind of guy who would slide tackle
his grandmother to win.
As soon as the final whistle blows for this game, Jeff makes a b-line right towards me,
and my mind is racing for an excuse to justify why I had screamed in his face.
But when Jeff got to me, he just shook my hand, congratulated me on the win,
and invited me to join his club team. Now, this is a team that brought together the best
players from all the high schools in our area. And top college coaches paid attention to that club team. Now, this is a team that brought together the best players from all the high schools in our area.
And top college coaches paid attention to that club team.
So playing on that club team put my development
as a soccer player on a whole new trajectory.
Jeff's invitation opened the door
to the formative experiences of my young life,
playing soccer, edit vision one college,
and then for a couple years professionally.
And in the decades since, I, not a soccer player anymore, but I thought a lot about that
moment.
Why didn't Jeff punch me in the face?
Why didn't he just point out that despite my team beating his, he was still a better player
than me, and he was?
Why was Jeff so gracious?
Jeff was only in high school, but he already figured out one of the most important things about competition
And that's that the game was over. He was looking ahead. I wasn't a trash talking rival anymore
I was a potential teammate a partner
Lidy Clots lives in Charlottesville, Virginia. Oh, and a club team that Jeff Wentland invited Lidy to join?
It won the National Indoor Soccer Championship, their Senior Year of High School.
You can find more of Anita Woolies' research and other resources on our website,
www.HiddenBrain.org.
While you're there, be sure to subscribe to our free newsletter.
Every week we'll bring you the latest research on human behavior.
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I'm Shankar Vedantam, see you soon.
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