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Podcast 95: Building the best team

24m 3s

Podcast 95: Building the best team

Building effective teams in today's global and technologically connected workplace is complex and begins with foundational questions: does the group have shared objectives and interdependent tasks to truly qualify as a team? Leadership expert Gareth Jones emphasizes starting with the team's core tasks and identifying a few critical success factors before considering skills. Diversity in perspectives and strengths is highlighted as essential for innovation, though it requires managers to proactively manage conflict, transforming it from a reactive HR issue into a core leadership skill. While individual expertise matters, research indicates that simply grouping star performers can hinder collaboration; team dynamics, communication patterns, and role clarity are more predictive of success. Emerging tools like algorithmic analysis aim to scientifically assess behavioral and value alignment between members to predict team cohesion. Ultimately, creating environments that encourage informal interaction and make work enjoyable is vital, as strong interpersonal relationships and communication underpin high-performing teams.

Transcription

4024 Words, 22792 Characters

English
[Music] Team creation has always been a tricky business. And now that technology allows people to work together regardless of their physical location, it can be even more complex to analyse which skills and behaviours you'll need in the mix to turn them into a truly effective team. Now of course you need expertise but personalities, culture, roles, goals, ways of working and communication. They're all part of the recipe too. Get the balance right and your team should rise up and cook to perfection. Get it wrong and all that effort and expense can go to waste. Leadership expert and executive teacher Gareth Jones has spent 30 years studying teams in organisations all over the world. And he's clear that building and maintaining effective teams all starts with careful groundwork. If you want to build strong teams that's a really important task. It doesn't happen automatically. Great team builders, whether we're talking about sports, politics, work, religion, they put effort into it. Today businesses are often global and their workers are more culturally and geographically diverse than ever before. So does that mean that creating truly productive teams is harder than ever? Technology is changing almost exponentially. So your right, technology is enabling interactions between much larger groups of people. Are they teams? Probably not. Human evolution moves very slowly. I think to start talking about teams of AT&R 90s is probably a mistake. So those are collaborating individuals? They could be collaborating individuals. But not a team. They're not a team. And I think a very good question to ask yourself if you're an executive facing the issue of teams and team building is this really a team? So to what extent do they have shared objectives, overlapping tasks and so on? And if they don't, by the way, well, don't put a big effort into team building. So start really with asking yourself the question, is this really a team? Okay. So what is the first thing that managers should think about them when they're putting together a team, whether it be a short-term team or long-term team? I think most people jump to skills and expertise. I'd go one stage back from that. I'd look at the task or tasks that the team is being asked to address. And I would then write down a list of the critical success factors. And that list, by the way, shouldn't be 27. It should be 3 or 4. Okay. And then build your team, design your team around the critical success factors. And that might lead you, by the way, into thinking about what kinds of people you want to have in the team. Johnny Gifford is research advisor at the CIPD with a specialism in employee relationships and conflict. Here are his thoughts on how to put the best people together. You've got to think about the diversity of thought and skills and strengths that you have within the team. Diversity, I think, is an area that some people struggle with, even though it's become a mainstream area of HR. We think that we've got equality law, so why do we need diversity? But I think it really comes alive when you start looking at team composition. Because you need that balance. You need people who fit in on the one hand. But on the other hand, you need enough divergence of thinking, enough of a mixture of strengths and perspectives in the team. That you can be pushing the boundaries. Although diversity is clearly important, a big body of research shows that we want to work with those we like. And that can often mean those who are somehow similar to us. So building a group of similar individuals can make for easy communication and great collaboration. But of course there are pitfalls, too little conflict and there's poor scope for innovative thinking, too much conflict. And your team can become unhappy, disruptive and unproductive as individuals jostle for position and refuse to collaborate. Here's Gareth Jones again. There's this conundrum, isn't there? If we like people too much, addressing poor performance becomes difficult. But like doesn't necessarily mean similar. No. You see, you can like people for their differences. So I sometimes think that the team leaders role is about encouraging people to understand their differences and to exploit their differences, actually, to synergize around their differences. Yeah, exactly. So the question becomes what is a reasonable amount of effort that managers should make to integrate different styles of working, different personalities into the team? According to Johnny, the answer to that question is a lot because as long as you can manage any conflict that rises and is bound to, you're more likely to get really great teamwork from a diverse group of people. He argues that managing this sort of into team conflict should become a core competency of managers across organisations. I think that where organisations are currently at is that we tend to be very reactive in the way that responds to conflict. And often see it as a problem to be solved by someone outside the team. So we'll cut in a mediator or someone from HR to arbitrate. But really, we need to see a shift. It needs to be seen as a sort of core management competency. Not only responding to conflict, containing conflict, but building robust teams in the first place where issues can be talked about. People can be challenged, ideas can be challenged. We can push the boundaries and that all feels safe. Are you listening to this wondering about your own role in a team? Then ask yourself this, are you a first born, a middle child, maybe the youngest in your family? Well, there's a serious body of research looking at how birth order can impact on how we perform in teens. Crazy nonsense? Gareth doesn't think so. We know, for example, that first born children tend to develop quite high power drives. So my wife, for example, is the eldest of nine. So imagine what my marriage is like. Middle children, the evidence is not quite so clear on this. But if we take a simple example, middle of three, they tend to develop quite high relationship drives. And surprise, surprise, quite high relationship skills, because they've been making alliances from their very early life. So I mean, it's a factor to consider. So I mean, if I've been putting together really complex teams in pharmaceutical business, for example, I do sometimes look at birth order. It would be one of the things I would look at for key people in the team. So it's vital to focus on building the right team from the beginning and according to research by known Wasserman, most startups fail because of failings in their team. His one startup CEO who believes he succeeded because he's focused so intensely on creating highly effective teams. My name is Ryan Knots and I founded and run mybuilder.com. And we're a marketplace that connects tradespeople and homeowners. So we have about 10,000 tradespeople on the site and we're getting close to 40,000 jobs a month posted. And the team is sort of divided into three big sections. Broad sections, one is the tech. So tech and product that's developing the website. The other is marketing. And then we have a customer service team. So I think in terms of building the team from the early days, it was easy to see that the only thing we really had was the people in the company. And the product was going to change. The customer base was small. I learned very quickly around the problems with the technology that having a really solid tech team was the real key to success. Because at the end of the day, it is a technology business. If our website isn't running, we're not trading at all. Ryan spends a lot of his time recruiting and maintaining his teams. And this might be why after a long hard slog, mybuilder.com is now a successful company. But building good teamwork into the organization hasn't been easy. I guess I learned the hard way. Right? So I started the company back in 2004. So we're now good 10 years in. And the first few people I hired, it was the interviewing process was poor. I didn't necessarily know what I wanted. I'd come from a trade background myself and before that I was an artist. So I hadn't had any experience hiring and managing. So yeah, hired some people that didn't work out and had to get rid of them. And that's a very painful thing. In making the mistake over and over and over again and then realizing you have to, you know, I must find a better way to, you know, screen that interview, all of that to help ensure that we get the right people. Team building is a real art and people often talk about gut instinct and alchemy. Now though, algorithms are being used to build models that can read people and their potential in a more scientific way. Meet Alistair Shepard, founder of Saber, who's using algorithms to try and create perfect teams. It works by trying to identify the mathematical elements that make a team work. And we think that behaviour and your preference towards certain behaviours can be measured. And we also believe that values can be measured and more specifically value alignment can be measured. And so we try to quantify those two elements under the reference that what gets measured gets managed. Okay, so this is analysing the individual members of teams. Yes, as part of the whole. So our goal is to end up measuring the entire team. But in order to do that, you need to understand its constituent parts. Okay, so what sort of things do you ask in them? So we ask non-conventional questions. Things like, do you like horror movies? Do you spelling mistakes or not you? Through to them all sort of familiar how well does the word 'shy' describe your behaviour in group settings? When you've analysed people, their behaviours, their values, how does that then feed into arriving at a perfect group that will work really well together? So what we're trying to understand is the nature of the relationships between individuals. And whether they will end up having an effective long term relationship. And I say relationship because that's what it is. By effective I mean the ability to still perform under varying degrees of stress over a period of time. Can we just kind of go back to defining how you would establish the values in an individual team? Right. So we looked for, and this is I guess the sort of fairly novel approach that we've taken, we looked to build this model for patterns in online dating. And the fundamentals of a romantic relationship are actually the same as the fundamentals of any good relationship. And we defined a successful online match as two people who had met online and enclosed their account. That's a significant step, it's saying you are, you're the best person I've met, significantly better than anyone else I've met already. And so when we looked at those successful matches we found really clear patterns in the way that they behaved online and certain questions that they answered. Do you like horror movies as a classic example? I don't know why this question is so important. I just know that it is. Okay. And you know that this helped? It was very predictive in a successful long term match. Defining precise values is very difficult. So this tool aims to discover whether people have complementary values. It's less important to actually know what those values are because it's very difficult to quantify values. If you ask me what my values are, I'll tell you every value ever. Do I value trust? Yes, of course I do. Do I value freedom? Yes. Do I value trust more than freedom? I don't know, maybe. It's difficult to think about. And we don't do it naturally. But when you meet somebody and you go, yes, I like you. I don't really know why, but I've only met you for five seconds and I like you. We're subconsciously picking up all sorts of cues about shared values. And we try to do that from a more sort of objective or quantify start point. Over the last year Ryan has been using this algorithmic model for team building at my builder. We have a whole team and we've asked everybody on the team to fill out the survey. And so then you can sort of see you know the people and you can see what Sabre says and what you know to be true. Most of the time it's very accurate. So for example, there's a sort of a chart that shows who works well together or who's likely to be able to resolve conflicts well or have difficulty. And then we can sort of look at that and say yes, these two people do have difficulty resolving issues or these people work very well together. And it can be very dramatic. So we can we have two guys who have a hundred percent score. And then we have people that have like a eight. And you know, so and it's interesting that the two guys that have this hundred percent score, they do get into conflict. Right, but when they do it's always resolved really easily, you know, even if it's a big disagreement on how to because it's the designer and one of our developers, one of our software engineers. So they work together. Yeah, they work together a lot on projects and they have disagreements about how things should happen. And both of them might get into kind of difficult positions where they can't resolve issues with other people, but with themselves they always resolve them. And then when we're recruiting, if we're thinking about offering someone a job, we'll give them the questionnaire, they'll fill it out. And then we'll see their scores next to the existing team and pay close attention to who they might work with. And and see if that's likely to be an issue. Now you can't rely on it a hundred percent. But if we have doubts and it reinforces those doubts, we won't hire them. If we're really sure and and Sabre says something different, then we just dig a little bit further. Maybe we do a little trial and we say, let's once you come and do some freelance work or depending on what they do. So it's just another kind of data points, not exactly the right word, but another piece of insight that we have that helps us decide who to hire. Sounds impressive. And Ryan's obviously satisfied, but how well does Sabre's model work elsewhere? It works surprisingly well. We've managed to predict things like the attrition rate of individual employees very precisely. We've managed to predict key performance indicators of employees. So to give you a tangible example, our very first experiment was to see if we could predict which team would win a business plan competition. It was a business plan competition at the University of Bristol. There were eight teams of about eight people in each team and the competition was a week long. We asked strange questions like to you like horror movies, to every individual before they arrived at the event. And once we knew who was in which team we made a sort of we ranked the teams from best fit to worst fit and made a prediction on day one of the event. We didn't know anything about their skills, their experiences, their demographic, or the ideas that they were working on. All we knew was a measure of the dynamics within the team. And we were correct in predicting the winning team. But more interestingly, we were precisely correct in the ranking of all eight teams, come the final. According to Alistair's research through Sabre, a key mistake managers can make is to put too much focus on individual performance over the performance of the team as a whole. So while it might seem clever to put your smartest people in a team together, research by Linda Gratton, Professor of Management Practice at London Business School, found that the higher the number of experts in a team, the more difficult team collaboration can become. So your star performers won't necessarily make a star team. We've interviewed people I can think of a few where we've looked at them and we've said wow, this is a really outstanding software engineer, but they're not right for us. So we have had to do this. Can't see them working with the people he thought. Yeah, they wouldn't work well with them or maybe they want to occupy a role that someone else has as well. And so you don't want too many cooks in the kitchen, you might say, well this would be a good lead developer or CTO or whatever. And they're going to be at odds with somebody else who's in that role. So you're really clear about defining roles and making sure your roles complementary? Gareth agrees, up to a point. For him, creating teams made up exclusively of top performance isn't necessarily a mistake, but it definitely does potentially present a much bigger management challenge. It doesn't mean to say that you can't put together high octane teams. So if you think about the pharmaceutical business by the way, I'm thinking of a company I really admire, Novo Nordisk, which is the world's largest producer of insulin. They have a research team called the diabetes research team. I've done some work with them. You know, you're in a room of 10 or 11 really clever, obsessive people and the team leader luckily is a highly gifted team leader. But keeping that high octane team on the road is really tough. But it's absolutely critical for the future success of Novo Nordisk. So I'm not against putting together high octane teams. I'm just being realistic about what they're like. You need to know that they will be difficult to lead. They'll be full of cognitive conflict. Certainly in the music business. I've had to step between executives who are about to have a fist fight over which single to take off an album. It doesn't make them a dysfunctional team by the way. It means they really, really care about these artists. Here's where effective communication comes in and many studies have concluded that it's patterns of communication that are the vital factor here when it comes to high team productivity. Friendship is a very, very complex concept. Friendship is the most commonly occurring human relationship and yet it's probably the one we understand the least. If you just think for a moment about your own friendship network, it's complicated. Isn't it? All friends, new friends, male friends, female friends, work friends, sports friends, political friends. Friends you'd like to get closer to. Friends you definitely not like to get closer to. It's complicated. Now friendship at work is also complicated. And you need as the team leader to think about how friendly do you want this team to become? Do they need to share informal information? Do they need to chat? If so, you need to create a kind of social architecture in which those informal conversations take place. And build like it. And build like it. You need to put time into that by the way. You need to put time into it. Building friendship takes time. I used to say to one of the previous chief executives at Unilever, that he should close down Unilever House on Black Friars Bridge and send people straight to the Black Friars, which is the pub across the road. Because I said that's where all the interesting conversations take place. Now I was being provocative, of course. But it's key. But it's key. Research at MIT proved that taking measures as simple as organizing the day around a group coffee break had a marked positive impact on team productivity. Ryan not segrees that my builder office is very busy, but he likes to keep the atmosphere informal and collaborative. My kind of philosophy is that work shouldn't be horrible. And then you get off work and then you can go have a bunch of, you know, get drunk together and make it all better. You know, it's throughout the day we try to have fun. Doing the work. We're kind of creating an environment where people can enjoy what they do. And I think if you start out getting the right people, and we always say about, especially the tech team, that these guys would be doing this in their spare time if it wasn't a marketable skill. Because they just love it. And that's the great thing about finding people who love what they do. That's the hard part is getting the right people in. And then it's just about just a little bit of kind of finessing and getting them focused on the same goals and communicating the business vision. And then they naturally do the right things. So we know that good communication is vital. But as business is increasingly done at a distance, communication can't always be done in person. So does that matter? And what does it mean for team success? So the key is in communication patterns. And there's been a lot of research around this Alex Pentland from MIT, where there's a lot of communication patterns being the biggest indicator of performance. And communication is now being made easier and easier via the digital medium. Yeah, so I think some of the MIT work was very heavily focused on the face-to-face, the gestures, the how close you are. So it's seeing people, actually whether it's on a screen or in person to person, really key to a team working well, do you think? It's undoubtedly a real benefit, but it's not crucial. But there are things that you just can't capture at the moment through digital mediums. Things like gestures, facial expressions. Small things that you just pick up when you're in a room together that get lost even through video call. So it's helpful, but it's not mandatory. Here's Garros Jones' checklist for effective long-distance teamwork. One face-to-face first. You see, the idea that human relationships, immediately, by technology is not new. Napoleon conducted a love affair with Josephine for 30 years, mainly by letter. But he'd met her first. So face-to-face first. Second thing is, when you do meet people, you have to intensify your social interactions. So you have to get closer quicker. So hang around with people, spend time, go for dinner, take them to the theatre, go to a show, listen to a lecture together. And then the third point is to defend you against the finance department. The costs of a dysfunctional virtual team are greater than the costs of bringing them together. Alistair sums up the key point. Individual talent and reasoning contribute to a relatively limited degree to team success, while successful communication patterns are far more crucial. When you've got people who have got very similar CVs, how do you choose who to hire, and how do you know in advance who will have the best performance? We think that comes down to fit. And by fit, I mean, the right behavioural balance and the right value alignment. So an effective team seems to rest on a trinity of excellent group communication, shared values, and just the right degree of difference and diversity to inject a little grit into the oyster. Easy. Take a look at our page on team building for links to more research and fact sheets. Next time, I'll be looking at HR's role in business partnerships. Thanks for listening.

Podcast Summary

Key Points:

  1. Effective team building requires careful groundwork, starting with defining clear shared objectives and critical success factors to determine if a group truly functions as a team.
  2. Diversity in thought, skills, and personality is crucial for innovation, but must be balanced with managing conflict, which should be seen as a core managerial competency.
  3. While expertise is important, assembling teams solely of top performers ("high octane" teams) presents significant leadership challenges and does not guarantee success; team dynamics and communication patterns are more vital.
  4. Tools like algorithmic models (e.g., Saber) are emerging to analyze behavioral and value compatibility between individuals to predict team effectiveness, complementing traditional hiring and team composition methods.
  5. Fostering informal communication and a collaborative, enjoyable work environment is essential for team productivity and relationship-building.

Summary:

Building effective teams in today's global and technologically connected workplace is complex and begins with foundational questions: does the group have shared objectives and interdependent tasks to truly qualify as a team? Leadership expert Gareth Jones emphasizes starting with the team's core tasks and identifying a few critical success factors before considering skills. Diversity in perspectives and strengths is highlighted as essential for innovation, though it requires managers to proactively manage conflict, transforming it from a reactive HR issue into a core leadership skill.

While individual expertise matters, research indicates that simply grouping star performers can hinder collaboration; team dynamics, communication patterns, and role clarity are more predictive of success. Emerging tools like algorithmic analysis aim to scientifically assess behavioral and value alignment between members to predict team cohesion. Ultimately, creating environments that encourage informal interaction and make work enjoyable is vital, as strong interpersonal relationships and communication underpin high-performing teams.

FAQs

Start by clearly defining the team's tasks and identifying 3-4 critical success factors, then design the team around those factors.

Diversity in thought, skills, and perspectives is crucial for innovation and pushing boundaries, though it requires managing potential conflicts.

While high-performing teams can be effective, they are often more challenging to lead due to increased cognitive conflict and require strong management.

Algorithms can analyze behaviors and values to predict team dynamics and compatibility, offering data-driven insights for better team composition.

Effective communication patterns are vital; fostering informal interactions and social connections can significantly enhance team collaboration and output.

Friendship at work can facilitate informal communication and trust, but it requires intentional effort to build a social architecture that supports team cohesion.

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