Easy Agile Podcast Ep.34 Henrik Kniberg on Team Productivity, Code Quality, and the Future of Software Engineering
TL;DR
Henrik Kniberg, the agile coach behind Spotify's model, discusses how AI is fundamentally transforming software development. Key takeaways: AI tools like Cursor and Claude are enabling 10x productivity gains; teams should give developers access to paid AI tools and encourage experimentation; coding will largely disappear as a manual task within 3–4 years; teams will shrink to 2 people plus AI; sprints will become obsolete in favour of continuous delivery; product owners can now write code via AI, creating pull requests instead of user stories; the key is treating AI like a brilliant intern – when it fails, the problem is usually your prompt or code structure, not the AI. Bottom line: Learn to use AI now, or risk being left behind in a rapidly changing landscape.
Introduction
Artificial intelligence is fundamentally reshaping how software teams work, collaborate, and deliver value. But with this transformation comes questions: How do we maintain team morale when people fear being replaced? What happens to code quality when AI writes most of the code? Do traditional agile practices like sprints still make sense?
In this episode, I sit down with Henrik Kniberg to tackle these questions head-on. Henrik is uniquely positioned to guide us through this transition – he's the agile coach and entrepreneur who pioneered the famous Spotify model and helped transform how Lego approached agile development. Now, as co-founder of Abundly AI, he's at the forefront of helping teams integrate AI into their product development workflows.
This conversation goes deep into the practical realities of AI-powered development: from maintaining code review processes when productivity increases 10x, to ethical considerations around AI usage, to what cross-functional teams will look like in just a few years. Henrik doesn't just theorise – he shares real examples from his own team, where their CEO (a non-coder) regularly submits pull requests, and where features that once took a sprint can now be built during a 7-minute subway ride.
Whether you're a developer wondering if AI will replace you, a product owner looking to leverage these tools, or a leader trying to navigate this transformation, this episode offers concrete, actionable insights for thriving in the AI era.
About Our Guest
Henrik Kniberg is an agile coach, author, and entrepreneur whose work has shaped how thousands of organisations approach software development. He's best known for creating the Spotify model – the squad-based organisational structure that revolutionised how large tech companies scale agile practices. His work at Spotify and later at Lego helped demonstrate how agile methodologies could work at enterprise scale whilst maintaining team autonomy and innovation.
Henrik's educational videos have become legendary in the agile community. His "Agile Product Ownership in a Nutshell" video, created over a decade ago, remains one of the most-watched and shared resources for understanding product ownership, with millions of views. His ability to distil complex concepts into simple, visual explanations has made him one of the most accessible voices in agile education.
More recently, Henrik has turned his attention to the intersection of AI and product development. As co-founder of Abundly AI, he's moved from teaching about agile transformation to leading AI transformation – helping companies and teams understand how to effectively integrate generative AI tools into their development workflows. His approach combines his deep understanding of team dynamics and agile principles with hands-on experience using cutting-edge AI tools like Claude, Cursor, and GitHub Copilot.
Henrik codes daily using AI and has been doing so for over two and a half years, giving him practical, lived experience with these tools that goes beyond theoretical understanding. He creates educational content about AI, trains teams on effective AI usage, and consults with organisations navigating their own AI transformations. His perspective is particularly valuable because he views AI through the lens of organisational change management – recognising that successful AI adoption isn't just about the technology, it's about people, culture, and process.
Based in Stockholm, Sweden, Henrik continues to push the boundaries of what's possible when human creativity and AI capabilities combine, whilst maintaining a pragmatic, human-centred approach to technological change.
Transcript
Note: This transcript has been lightly edited for clarity and readability.
Maintaining Team Morale and Motivation in the AI Era
Tenille Hoppo: Hi there, team, and welcome to this new episode of the Easy Agile Podcast. My name is Tenille Hoppo, and I'm feeling really quite lucky to have an opportunity to chat today with our guest, Henrik Kniberg.
Henrik is an agile coach, author, and entrepreneur known for pioneering agile practices at companies like Spotify and Lego, and more recently for his thought leadership in applying AI to product development. Henrik co-founded Abundly AI, and when he isn't making excellent videos to help us all understand AI, he is focused on the practical application of generative AI in product development and training teams to use these technologies effectively.
Drawing on his extensive experience in agile methodologies and team coaching, Henrik seems the perfect person to learn from when thinking about the intersection of AI, product development, and effective team dynamics. So a very warm welcome to you, Henrik.
Henrik Kniberg: Thank you very much. It's good to be here.
Tenille: I think most people would agree that motivated people do better work. So I'd like to start today by touching on the very human element of this discussion and helping people maintain momentum and motivation when they may be feeling some concern or uncertainty about the upheaval that AI might represent for them in their role.
What would you suggest that leaders do to encourage the use of AI in ways that increase team morale and creativity rather than risking people feeling quite concerned or even potentially replaced?
Henrik: There are kind of two sides to the coin. There's one side that says, "Oh, AI is gonna take my job, and I'm gonna get fired." And the other side says, "Oh, AI is going to give me superpowers and give us all superpowers, and thereby give us better job security than we had before."
I think it's important to press on the second point from a leader's perspective. Pitch it as this is a tool, and we are entering a world where this tool is a crucial tool to understand how to use – in a similar way that everyone uses the Internet. We consider it obvious that you need to know how to use the Internet. If you don't know how to use the Internet, it's going to be hard.
"I encourage people to experiment, give them access to the tools to do so, and encourage sharing. And don't start firing people because they get productive."
I also find that people tend to get a little bit less scared once they learn to use it. It becomes less scary. It's like if you're worried there's a monster under your bed, maybe look under your bed and turn on the lights. Maybe there wasn't a monster there, or maybe it was there but it was kind of cute and just wanted a hug.
Creating a Culture of Safe Experimentation
Tenille: I've read that you encourage experimentation with AI through learning – I agree it's the best way to learn. What would you encourage leaders and team leaders to do to create a strong culture where teams feel safe to experiment?
Henrik: There are some things. One is pretty basic: just give people access to good AI tools. And that's quite hard in some large organisations because there are all kinds of resistance – compliance issues, data security issues. Are we allowed to use ChatGPT or Claude? Where is our data going? There are all these scary things that make companies either hesitate or outright try to stop people.
Start at that hygiene level. Address those impediments and solve them. When the Internet came, it was really scary to connect your computer to the Internet. But now we all do it, and you kind of have to, or you don't get any work done. We're at this similar moment now.
"Ironically, when companies are too strict about restricting people, then what people tend to do is just use shadow AI – they use it on their own in private or in secret, and then you have no control at all."
Start there. Once people have access to really good AI tools, then it's just a matter of encouraging and creating forums. Encourage people to experiment, create knowledge-sharing forums, share your own experiments. Try to role-model this yourself. Say, "I tried using AI for these different things, and here's what I learned." Also provide paths for support, like training courses.
The Right Mindset for Working with AI
Tenille: What would you encourage in team members as far as their mindset or skills go? Certainly a nature of curiosity and a willingness to learn and experiment. Is there anything beyond that that you think would be really key?
Henrik: It is a bit of a weird technology that's never really existed before. We're used to humans and code. Humans are intelligent and kind of unpredictable. We hallucinate sometimes, but we can do amazing things. Code is dumb – it executes exactly what you told it to do, and it does so every time exactly the same way. But it can't reason, it can't think.
Now we have AI and AI agents which are somewhere in the middle. They're not quite as predictable as code, but they're a lot more predictable than humans typically. They're a lot smarter than code, but maybe not quite as smart as humans – except for some tasks when they're a million times smarter than humans. So it's weird.
You need a kind of humble attitude where you come at it with a mindset of curiosity. Part of it is also to realise that a lot of the limitation is in you as a user. If you try to use AI for coding and it wrote something that didn't work, it's probably not the model itself. It's probably your skills or lack of skills because you have to learn how to use these tools. You need to have this attitude of "Oh, it failed. What can I do differently next time?" until you really learn how to use it.
"There can be some aspect of pride with developers. Like, 'I've been coding for 30 years. Of course this machine can't code better than me.' But if you think of it like 'I want this thing to be good, I want to bring out the best in this tool' – not because it's going to replace me, but because it's going to save me a tonne of time by doing all the boring parts of the coding so I can do the more interesting parts – that kind of mindset really helps."
Maintaining Code Quality and Shared Understanding
Tenille: Our team at Easy Agile is taking our steps and trying to figure out how AI is gonna work best for us. I put the question out to some of our teams, and there were various questions around people taking their first steps in using AI as a co-pilot and producing code. There are question marks around consistency of code, maintaining code quality and clean architecture, and even things like maintaining that shared understanding of the code base. What advice do you have for people in that situation?
Henrik: My first piece of advice when it comes to coding – and this is something I do every day with AI, I've been doing for about two and a half years now – is that the models now, especially Claude, have gotten to the level where it's basically never the AI's fault anymore. If it does anything wrong, it's on you.
You need to think about: okay, am I using the wrong tool maybe? Or am I not using the tool correctly?
For example, the current market leader in terms of productivity tools with AI is Cursor. There are other tools that are getting close like GitHub Copilot, but Cursor is way ahead of anything else I've seen. With Cursor, it basically digs through your code base and looks for what it needs.
But if it fails to find what it needs, you need to think about why. It probably failed for the same reason a human might have failed. Maybe your code structure was very unstructured. Maybe you need to explain to the AI what the high-level structure of your code is.
"Think of it kind of like a really smart intern who just joined your team. They're brilliant at coding, but now they got confused about something, and it's probably your code – something in it that made it confused. And now you need to clarify that."
There are ways to do that. In Cursor, for example, you can create something called cursor rules, which are like standing documents that describe certain aspects of your system. In my team, we're always tweaking those rules. Whenever we find that the AI model did something wrong, we're always analysing why. Usually it's our prompt – I just phrased it badly – or I just need to add a cursor rule, or I need to break the problem down a little bit.
It's exactly the same thing as if you go to a team and give them this massive user story that includes all these assumptions – they'll probably get some things wrong. But if you take that big problem and sit down together and analyse it and split it into smaller steps where each step is verifiable and testable, now your team can do really good work. It's exactly the same thing with AI.
Addressing the Code Review Bottleneck
Tenille: One of our senior developers found that he was outputting code at a much greater volume and faster speed, but the handbrake he found was actually their code review processes. They were keeping the same processes they had previously, and that was a bit of a handbrake for them. What kind of advice would you have there?
Henrik: This reminds me of the general issue with any kind of productivity improvement. If you have a value stream, a process where you do different parts – you do some development, some testing, you have some design – whenever you take one part of the process and make it super optimised, the bottleneck moves to somewhere else.
If testing is no longer the bottleneck, maybe coding is. And when coding is instant, then maybe customer feedback – or lack of customer feedback – is the bottleneck. The bottleneck just keeps moving. In that particular case, the bottleneck became code review. So I would just start optimising that. That's not an AI problem. It's a process problem.
Look at it: what exactly are we trying to do when we review? Maybe we could think about changing the way we review things. For example, does all code need to be reviewed? Would it be enough that the human who wrote it and the AI, together with the human, agree that this is fine? Or maybe depending on the criticality of that change, in some cases you might just let it pass or use AI to help in the reviewing process also.
"I think there's value in code review in terms of knowledge sharing in a large organisation. But maybe the review doesn't necessarily need to be a blocking process either. It could be something you go back and look at – don't let it stop you from shipping, but maybe go back once per week and say, 'Let's look at some highlights of some changes we've made.'"
We produce 10 times more code than in the past, so reviewing every line is not feasible. But maybe we can at least identify which code is most interesting to look at.
Ethical Considerations: Balancing Innovation with Responsibility
Tenille: Agile emphasises people over process and delivering value to customers. Now with AI in the mix, there's potential for raising some ethical considerations. I'm interested in your thoughts on how teams should approach these ethical considerations that come along with AI – things like balancing rapid experimentation against concerns around bias, potential data privacy concerns.
Henrik: I would treat each ethical question on its own merits. Let me give you an example. When you use AI – let's say facial recognition technology that can process and recognise faces a lot better than any human – I kind of put that in the bucket of: any tool that is really useful can also be used for bad things. A hammer, fire, electricity.
That doesn't have so much to do with the tool itself. It has much more to do with the rules and regulations and processes around the tool. I can't really separate AI in that sense. Treat it like any other system. Whenever you install a camera somewhere, with or without AI, that camera is going to see stuff. What are you allowed to do with that information? That's an important question. But I don't think it's different for AI really, in that sense, other than that AI is extremely powerful. So you need to really take that seriously, especially when it comes to things like autonomous weapons and the risk of fraud and fake news.
"An important part of it is just to make it part of the agenda. Let's say you're a recruitment company and you're now going to add some AI help in screening. At least raise the question: we could do this. Do we want to do this? What is the responsible way to do it?"
It's not that hard to come up with reasonable guidelines. Obviously, we shouldn't let the AI decide who we're going to hire or not. That's a bad idea. But maybe it can look at the pile of candidates that we plan to reject and identify some that we should take a second look at. There's nothing to lose from that because that AI did some extra research and found that this person who had a pretty weak CV actually has done amazing things before.
We're actually working with a company now where we're helping them build some AI agents. Our AI agents help them classify CVs – not by "should we hire them or not," but more like which region in Sweden is this, which type of job are we talking about here. Just classifying to make it more likely that this job application reaches the right person. That's work that humans did before with pretty bad accuracy.
The conclusion was that AI, despite having biases like we humans do, seemed to have less biases than the human. Mainly things like it's never going to be in a bad mood because it hasn't had its coffee today. It'll process everybody on the same merits.
I think of it like a peer-to-peer thing. Imagine going to a doctor – ideally, I want to have both a human doctor and an AI doctor side by side, just because they both have biases, but now they can complement each other. It's like having a second opinion. If the AI says we should do this and the doctor says, "No, wait a second," or vice versa, having those two different opinions is super useful.
Parallels Between Agile and AI Transformations
Tenille: You're recognised as one of the leading voices in agile software development. I can see, and I'm interested if you do see, some parallels between the agile transformations that you led at Spotify and Lego with the AI transformations that many businesses are looking at now.
Henrik: I agree. I find that when we help companies transition towards becoming AI native, a lot of the thinking is similar to agile. But I think we can generalise that agile transformations are not really very special either – it's organisational change.
There are some patterns involved regardless of whether you're transitioning towards an agile way of working or towards AI. Some general patterns such as: you've got to get buy-in, it's useful to do the change in an incremental way, balance bottom-up with top-down. There are all these techniques that are useful regardless. But as an agilist, if you have some skills and competence in leading and supporting a change process, then that's going to be really useful also when helping companies understand how to use AI.
Tenille: Are you seeing more top-down or bottom-up when it comes to AI transformations?
Henrik: So far it's quite new still. The jury's not in yet. But so far it looks very familiar to me. I'm seeing both. I'm seeing situations where it's pure top-down where managers are like "we got to go full-out AI," and they push it out with mixed results. And sometimes just completely bottom-up, also with mixed results.
Sometimes something can start completely organically and then totally take hold, or it starts organically and then gets squashed because there was no buy-in higher up. I saw all of that with agile as well. My guess is in most cases the most successful will be when you have a bit of both – support and guidance from the top, but maybe driven from the bottom.
"I think the bottom-up is maybe more important than ever because this technology is so weird and so fast-moving. As a leader, you don't really have a chance if you try to control it – you're going to slow things down to an unacceptable level. People will be learning things that you can't keep up with yourself. So it's better to just enable people to experiment a lot, but then of course provide guidance."
AI for Product Owners: From Ideation to Pull Requests
Tenille: You're very well known for your guidance and for your ability to explain quite complex concepts very simply and clearly. I was looking at your video on YouTube today, the Agile Product Ownership in a Nutshell video, which was uploaded about 12 years ago now. Thinking about product owners, there's a big opportunity now with AI for generating ideas, analysing data, and even suggesting new features. What's your advice for product owners and product managers in using AI most effectively?
Henrik: Use it for everything. Overuse it so you can find the limits. The second thing is: make sure you have access to a good AI model. Don't use the free ones. The difference is really large – like 10x, 100x difference – just in paying like $20 per month or something. At the moment, I can particularly strongly recommend Claude. It's in its own category of awesomeness right now. But that of course changes as they leapfrog each other. But mainly: pay up, use a paid model, and then experiment.
For product owners, typical things are what you already mentioned – ideation, creating good backlog items, splitting a story – but also writing code. I would say as a PO, there is this traditional view, for example in Scrum, that POs should not be coding. There's a reason for that: because coding takes time, and then as PO you get stuck in details and you lose the big picture.
Well, that's not true anymore. There are very many things that used to be time-consuming coding that is basically a five-minute job with a good prompt.
"Instead of wasting the team's time by trying to phrase that as a story, just phrase it as a pull request instead and go to the team and demonstrate your running feature."
That happened actually today. Just now, our CEO, who's not a coder, came to me with a pull request. In fact, quite often he just pushes directly to a branch because it's small changes. He wants to add some new visualisation for a graph or something in our platform – typically admin stuff that users won't see, so it's quite harmless if he gets it wrong.
He's vibe coding, just making little changes to the admin, which means he never goes to my team and says, "Hey, can you guys generate this report or this graph for how users use our product?" No, he just puts it in himself if it's simple.
Today we wanted to make a change with how we handle payments for enterprise customers. Getting that wrong is a little more serious, and the change wasn't that hard, but he just didn't feel completely comfortable pushing it himself. So he just made a PR instead, and then we spent 15 minutes reviewing it. I said it was fine, so we pushed it.
It's so refreshing that now anybody can code. You just need to learn the basic prompting and these tools. And then that saves time for the developers to do the more heavyweight coding.
Tenille: It's an interesting world where we can have things set up where anyone could just jump in and with the right guardrails create something. It makes Friday demos quite probably a lot more interesting than maybe they used to be in the past.
Henrik: I would like to challenge any development team to let their stakeholders push code, and then find out whatever's stopping you from doing that and fix that. Then you get to a very interesting space.
Closing the Gap Between Makers and Users
Tenille: A key insight from your work with agile teams in the past has been to really focus on minimising that gap between maker and user. Do you think that AI helps to close that gap, or do you think it potentially risks widening it if teams are focusing too much on AI predictions and stop talking to their customers effectively?
Henrik: I think that of course depends a lot on the team. But from what I've seen so far, it massively reduces the gap. Because if I don't have to spend a week getting a feature to work, I can spend an hour instead. Then I have so much more time to talk to my users and my customers.
If the time to make a clickable prototype or something is a few seconds, then I can do it live in real time with my customers, and we can co-create. There are all these opportunities.
I find that – myself, my teams, and the people I work with – we work a lot more closely with our users and customers because of this fast turnaround time.
"Just yesterday I was teaching a course, and I was going home sitting on the subway. It was a 15-minute subway ride. I finally got a seat, so I had only 7 minutes left. There's this feature that I wanted to build that involved both front-end and back-end and a database schema change. Well, 5 minutes later it was done and I got off the subway and just pushed it. That's crazy."
Of course, our system is set up optimised to enable it to be that fast. And of course not everything will work that well. But every time it does, I've been coding for 30 years, and I feel like I wake up in some weird fantasy every day, wondering, "Can I really be this productive?" I never would have thought that was possible.
Looking Ahead: The Future of Agile Teams
Tenille: I'd like you to put your futurist hat on for a moment. How do you see the future of agile teamwork in, say, 10 to 15 years time? If we would have this conversation again in 2035, given the exponential growth of AI and improvements over the last two to three years, what do you think would be the biggest change for software development teams in how they operate?
Henrik: I can't even imagine 10 years. Even 5 years is just beyond imagination. That's like asking someone in the 1920s to imagine smartphones and the Internet. I think that's the level of change we're looking at.
I would shorten the time a little bit and say maybe 3 or 4 years. My guess there – and I'm already seeing this transfer happen – is that coding will just go away. It just won't be stuff that we humans do because we're too slow and we hallucinate way too much.
But I think engineering and the developer role will still be there, just that we don't type lines of code – in the same way that we no longer make punch cards or we no longer write machine code and poke values into registers using assembly language. That used to be a big part of it, but no longer.
"In the future, as developers, a lot of the work will still be the same. You're still designing stuff, you're thinking about architecture, you're interacting with customers, and you're doing all the other stuff. But typing lines of code is something that we're gonna be telling our kids about, and they're not gonna believe that we used to do that."
The other thing is smaller teams, which I'm already seeing now. I think the idea of a cross-functional team of 5 to 7 people – traditionally that was considered quite necessary in order to have all the different skills needed to deliver a feature in a product. But that's not the case anymore. If you skip ahead 2 or 3 years when this knowledge has spread, I think most teams will be 2 people and an AI, because then you have all the domain knowledge you need, probably.
As a consequence of that, we'll just have more teams. More and smaller teams. Of course, then you need to collaborate between the teams, so cross-team synchronisation is still going to be an issue.
Also, I'm already seeing this now, but this concept of sprints – the whole point is to give a team some peace of mind to build something complex, because typically you would need a week or two to build something complex. But now, when it takes a day and some good prompting to do the same thing that would have taken a whole sprint, then the sprint is a day instead. If the sprint is a day, is there any difference between a sprint planning meeting and a daily standup? Not really.
I think sprints will just kind of shrink into oblivion. What's going to be left instead is something a little bit similar – some kind of synchronisation point or follow-up point. Instead of a sprint where every 2 weeks we sit down and try to make a plan, I think it'll be very much continuous delivery on a day-to-day basis. But then maybe every week or two we take a step back and just reflect a little bit and say, "Okay, what have we been delivering the past couple of weeks? What have we been learning? What's our high-level focus for the next couple of weeks?" A very, very lightweight equivalent of a sprint.
I feel pretty confident about that guess because personally, we are already there with my team, and I think it'll become a bit of a norm.
Final Thoughts: Preparing for the Future
Henrik: No one knows what's gonna happen in the future, and those who say they do are kidding themselves. But there's one fairly safe bet though: no matter what happens in the future with AI, if you understand how to use it, you'll be in a better position to deal with whatever that is. That's why I encourage people to get comfortable with it, get used to using it.
Tenille: I have a teenage daughter who I'm actually trying to encourage to learn how to use AI, because I feel like when I was her age, the Internet was the thing that was sort of coming mainstream. It completely changed the way we live. Everything is online now. And I feel like AI is that piece for her.
Henrik: Isn't it weird that the generation of small children growing up now are going to consider this to be normal and obvious? They'll be the AI natives. They'll be like, "Of course I have my AI agent buddy. There's nothing weird about that at all."
Tenille: I'll still keep being nice to my coffee machine.
Henrik: Yeah, that's good. Just in case, you know.
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Thank you to Henrik Kniberg for joining us on this episode of the Easy Agile Podcast. To learn more about Henrik's work, visit Abundly AI or check out his educational videos on AI and agile practices.
Subscribe to the Easy Agile Podcast on your favourite platform, and join us for more conversations about agile, product development, and the future of work.
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Easy Agile Podcast Ep.2 John Turley, Digital Transformation Consultant, Adaptavist
Transcript:
Sean Blake:
Hello, everybody. I'm Sean Blake, the host of this episode of the Easy Agile podcast. I'm also Head of Marketing at Easy Agile, where our mission is to help teams around the world work better together. We have a fascinating guest with us today. It's John Turley from Adaptavist. John is a pragmatic Agile leader with 25 years experience working in companies at all levels, from teams to C suite, always bringing real value, adding change to the way organizations work. Dissatisfied with the standard discourse around transformation and agility, he is passionate about applying cutting edge knowledge from fields as diverse as sociology and psychology. We're really excited to have John on the podcast today. So John, thanks so much for being on the Easy Agile podcast.
John Turley:
You're welcome, Sean. Pleasure to be here.
Sean Blake:
Thank you so much. So John, you've got a lot of experience in the Agile space, in the tech space. And I'm not trying to call you old. But I'd love to get a sense of what's changed over 25 years. It must just be night and day from where you started to what you see now.
John Turley:
There's a lot of change. And I'm pretty comfortable with old. I'm 48 now, and it's closest to 30 years now. That tells you when I first wrote that bit in the bio. So the technology has changed. That's mind blowing. I started off in ops, and then infrastructure and project management and stuff and 1999, 2000, it would take us three months and 50,000 quid to build a couple of web servers with a pair of load balancers and firewalls and a database at the back. And now we spin them up in seconds.
John Turley:
This is profound. Platform technology is profound slack or I mean platform technologies, that makes a massive difference to the way we interact. Scale is a massive issue. I would say that the world is sort of dichotomized into very large and quite small organizations. There seem to be less in the middle. It's just a gut feeling. We see, I think trust is collapsed. We see that in Edelman Trust Barometer. We see the complexity has increased. That's deeply problematic for us. [inaudible 00:02:23] has been measuring that one.
John Turley:
And we see that workforce engagement is at all time lows through the Gallup World Poll. Those things are big, big changes. What's the same though is the people, the way the people think, the way we construct our reality, our mindset, if you like, the way we make sense of the world around us is very, very similar. So although we now talk a lot more about Agile, the waterfall and waterfall for many is a bit of a dirty word, not for me and same with command and control. People are taking the same mindsets. This is measurable and provable. People are taking the same mindset that they had around waterfall and command and control using different language of Agile and behaving in the same way. That hasn't changed.
Sean Blake:
Very interesting. So you touched on trust, and how basically we've seen this breakdown of trust across the board. And I've just watched a documentary that's come out on Netflix around the Social Dilemma, and how the trust that we have in these big social media platforms is eroding. And we're getting a little bit skeptical around what these big companies are doing to us as the customer. Do you find that that's a hard balance with the people that you work with around being customer focused, but still building a profitable and growing business?
John Turley:
Yeah, I do. Yes, and the way I think it manifests itself, which again maybe we'll get into the sort of the psychology and the sociology as well as the complexity science, I'm into it later. But there's a very clear way that that lack of trust manifests itself. I'm not sure it's the lack of trust that manifests itself. But there's a very clear thing that's happening is people, there's repeated patterns of behavior I see all over the place in a lot of the work I do, which is one on one and with groups, that people hold on to this idea that their view is right and anything that doesn't comply with that is wrong.
John Turley:
This is a view that comes from the predominant mindset from what [inaudible 00:04:33] call the sort of expert or the achiever mindset, and it becomes a barrier to us collaborating and learning together and innovating. If somebody with a different point of view is dismissed as wrong, then there's no common ground to start to build trust. Trust is eroded from the outset, and that means that we can't collaborate, and in a complex world where we need to collaborate ever more closely and learn together and innovate, that's a deep, deep problem.
John Turley:
And the response seems to be that people actually withdraw, they withdraw into groups, we might call them cliques or echo chambers. The sociologists call this process homophily. This is a function like many say of platforms like Twitter, we retreat into groups that echo the opinions that we already hold that then reinforce those opinions, and separate us from the opinions of others and reinforce the opinions we have. So the gaps between the cliques grow wider, and particularly in times of COVID and the lockdown that we've had here, and that we seem to be maybe heading back into the isolation perhaps adds to that, and we see it more and more. So at a time where we need to be getting our act cliques and talking with understanding with others with different views, we're actually psychologically in a difficult position to be able to do that. And so that's what we might generically call the lack of trust manifests itself in the work that I'm doing. And that's how I see it with almost everybody that I work with, including myself, by the way. It's not an easy thing to conquer.
Sean Blake:
So what does your day to day look like, John? I think your official job title is Digital Transformation Consultant. You work for Adaptivist as one of the most well known Agile consulting practices in the world, I would say. What does that mean for you day to day? What does your nine to five look like?
John Turley:
So we're really involved in three things. I'm really involved in three things. And it's all about learning, collective learning, organization learning. So we're involved in a lot of original research. We do that original research with a number of academic partners in a program that we're putting together. We've been doing a lot of the research on our own. But as it gets bigger and more credible, other partners are coming to join us and they're very credible partners.
John Turley:
And the research is uncovering new learning. And that new learning points us to new consulting practices where we can take that learning and embed it into a workshop, say or how we might use the research instruments that we've borrowed from academia in the real world to measure social networks or psychological complexity or the amount of autonomy in the environment. So we can then use that to work with teams to help them shift from a sort of functionally oriented way of working to a cross functional way of working, which whether we're talking about safe and Agile release chains, or whether we're talking about Lean software management and value streams, whether we're talking at a team level or an organizational level, the challenge is essentially the same. We need to orientate ourselves around the creation of customer value in cross functional teams that are focused on delivering that value, not just delivering on their function. And that switch brings with it some deep, complex, deep psychological challenges that we're just not really equipped to meet. So we bring sort of the people and culture element, the tools and the Agile methodology simultaneously to bear in teams to help them make that shift. So that's really what my day to day work looks like, so the research and the practice.
Sean Blake:
Okay, research and practice. And when it comes to the practice side and encouraging that cross functional collaboration, how hard is it for people to get on board with that recommendation or get on board with what the company is trying to do?
John Turley:
For most people, it's really hard. So my experience before doing the research that I guess we started a couple of years ago I was just referring to, was something like this recently. We'd often get, so I've worked in the Agile space for a long time, I don't quite know when I started working in that space, in other words, full space, but a decade or two, let's say, and now bumped into a repeated problem, we get our, let's say, thinking of a specific example with a specific client about three years ago, very functionally orientated, trying to make that shift into cross functional teams. So we got a group of five people together from different functions, so designers, testers, developers, a couple of ops people, and between them, they should be able to obviously, launch some working code within 10 days or whatever. We were probably trying to spring into the real world.
John Turley:
And they were all great people. I knew them all personally. I spent time working with them all. They were very sort of Agile in the way they approached the development of the software that they did, and we put them in a room virtually to begin with and we asked them to produce a piece of code that works across functions, produce a piece of code and release it at the end of the week. And they didn't. And we thought what on earth happened there? We didn't really understand this, so we tried it again. But we assumed that the problem is because we'd done it virtually.
John Turley:
So this time, we got everybody together in Poland, as it happened in a room, we set it all up, we talked to them at the beginning, then people like me sort of left the room and let them get on with it, got to the end of the week, same outcome, nothing has happened. And if you talk to them, while they say, "Yeah, my phone pinged and there was a support incident, and you just couldn't.", and they had lots of very plausible reasons why they couldn't come together as a cross functional team. But the fact remains twice in a row, the most capable people haven't done it.
John Turley:
So we had a really long think about it, one of the senior leader in the business and myself. And we realized that the only thing that could be happening, the only thing that could be going wrong here is that there must be some sort of breakdown in the dialogue between the group in the room. So we ran it, we ran the workshop, let's call it for a third time. And this time, we had somebody else in the room just watching what was going on.
John Turley:
And they spotted something happened really early on. One of the people from the UK said to one of the Polish developers, they said, "Look, think of us like consultants. We're here to help you, to transfer knowledge to you so that you develop a capability so that you can do this on your own." And at that moment, the person who was in the room said that the dynamic in the room seemed to change. People glazed over. And I think what it was is that that word consultant that the English person had used had a different meaning for a colleague in Krakow. I think that meaning, the meaning of consultant meant, we're just here to tell you what to do and not actually do anything and put ourselves on the hook for any work, just kind of watch you do it.
John Turley:
And I think at that point, they kind of went, "Okay, well, all right, I get it, same old, same old. We'll do the work you English guys talk about it, because it's an English company.", and that breakdown started to occur. So the question we started is, I've seen that all over the place. So the question we started to wrestle with in our research is what's happening in those moments when that dialogue breaks down what's happening?
John Turley:
And what we've discovered is that there is a number of research studies, the biggest is about 10,000 people, that shows that around about 50% of people are at a level, and this is 50% of leaders in a study of 10,000, so for middle management, senior management, so it's a skewed number. So in reality, in software teams, it's probably more than 50% of people have reached a level of psychological complexity that suits the environment as it was, but has some limitations in cross functional working.
John Turley:
So they have a mindset, a way of making their reality that works well in a functional environment, but it's challenged in a cross functional environment. And that mindset, this way of thinking, which is very prevalent, is a way of thinking where individuals draw their self esteem from their expertise, just to put it very short, simple as an oversimplification. And the thing is, if you're drawing your self esteem from your expertise, when your expertise is challenged, it feels personal.
John Turley:
If it feels personal, people are likely to get defensive. And it's not because they're stupid, or they're not interested or they don't want to, the psychologists can show it's a level of psychological complexity, where that's just how our minds work. That's just how our meaning making works. Now, if that's the stage you're at, if we imagine me as a developer sitting down with a tester, and the tester's saying to me, "Look, the way you've written the code isn't the best way to do it for me, because I can't test it."
John Turley:
If I'm drawing my self esteem from my expertise as a developer, I'm likely to reject that, and might even start to think thoughts like, "Well, I think what really needs to happen here is that you need to be a better tester." I think that's the problem. And then we get this separation. Now at the next stage is psychological complexity. And these stages are in a framework that we do move through these stages. Again, it's an oversimplification, but it's observable and measurable. At slightly later stage of psychological complexity, things start to change. People start to recognize that the world is much more complex, that it's not black and white. And actually, there are multiple ways of doing things.
John Turley:
So to go back to my example as a developer, the tester might say to me, "This isn't the best way to write the code as far as I'm concerned." And what I'll hear is the, "Oh, as far as I'm concerned." It might be as far as I'm concerned, it's not fair enough. How can we change the way I'm writing the code to make it easier to test? But I can't do that if I respond like it's a personal criticism, you know what I mean? So what we started to uncover in the research is a correlation between how successful cross functional teams can be, and the level of psychological complexity in the leaders and the individuals in that team.
Sean Blake:
Interesting. So there's a book that we've been reading at Easy Agile recently called Radical Candor. And really, it comes down to giving constructive feedback to each other, not in a way where you're attacking them personally but you're trying to be honest around how we can work more collaboratively. And like you said with that example, how can a developer write code in a way that the QA tester can actually perform the tests on it? For someone who's new to cross functional ways of working, what advice does the research have around preparing that mindset to receive some of that radical candor, to receive that feedback in a way that you don't take it personally?
John Turley:
Well, so it's a great question, you put it really well, because radical candor is fine. We have, I work in a team that is very candid. We have some difficult conversations, and we don't even really dress our words up. And nobody gets offended. We just know that it's a shortcut. We might get our words wrong, but it's a shortcut to unlocking value to finding out how to work together. But it's not about the words that each of us picks to express. It's about how the other chooses to react to the words landing, as much as now that's a dialogue, it's a two way thing, it takes two to tango.
John Turley:
And the way we can develop a mindset that's more suitable to cross functional work is interesting. First of all, we've got to get out of comfort zone. We've got to be prepared to get out of our comfort zone, not far necessarily, and not for very long necessarily, and not without support and understanding from the colleagues around us. But we do need to get out our comfort zone. Otherwise, psychological growth can't occur. This is what I'm talking to about now is the work really of Robert Kegan and Lisa Lahey, who do a lot of work in dialogue on radical candor.
John Turley:
So we've got to get out of our comfort zone. But we've also got to be addressing a complex problem with a group of people when we're outside of our comfort zone. And that complex problem has to be meaningful, and it has to be salient, it has to be something that we care about, it has to be something relevant to our day to day work. And if we've got those characteristics in the environment that we working in, then there is an opportunity for individuals to choose to develop their own psychological complexity.
John Turley:
So that environment that has those characteristics, we would call in Kegan's word a deliberately developmental environment, because we can't separate the development of individual mindsets from the environment that that mindset functions in. The reason most of us have got the mindset that draws self esteem from expertise is because that's actually what most environments that we work in or not. That works in a functional environment. It's where you get promoted, it's where you get hired. It's where you get your Scrum Master badge and all that other stuff that gives you status and makes you feel good.
John Turley:
The world that we work in for many of us honors that expert way of making meaning. It doesn't honor learning and admission that yours might not be the best way to do things in the same way. So we have to shift the environment to support the individual to choose to take that developmental step because it can't be something that's done to them. You can't make people develop a more complex psychology. You can't train them to do it. You can only give them an environment that supports that step if they want to take it and if they don't, fair enough, that's okay. But maybe cross functional teams for them, if they don't want to because the hard place is to work.
Sean Blake:
Is it a problem that people find their expertise or find their self esteem from expertise? Is part of it encouraging men to find their confidence in things outside of their work or is expertise an honorable pursuit?
John Turley:
I wouldn't say it's a problem at all. Expertise, and the development of expertise is an honorable pursuit. Drawing your self esteem from your expertise is a very necessary part of our psychological development is a stage that can't be skipped really. I said to you before that I don't like to say things like that without the research base, but the psychology certainly imply that it's a stage that can't be skipped. So we've got to do it. We've got to go through this stage. The stage before we're drawing our self esteem from our expertise is where we draw our self esteem from our membership of the group.
John Turley:
And that's very important too, if you think of us as children or being part of a group is essential for our survival, so ingratiating yourself into that group, not rocking the boat, so we don't jeopardize our group membership is critical. But at some point, people start to realize, well, actually, I have to rock the boat a little bit if we want some direction. So separating your meaning making from drawing your self esteem from the group to drawing your self esteem from your expertise is a development in that sense. Drawing your self esteem from your expertise means the best way to write this code is let me train somebody to do it.
John Turley:
It's critical. But like all developmental stages, it has its limitations. So it's not problematic in any way, unless the individual is in a complex environment in which that expert way of making meaning isn't well suited. And then you got a mismatch between psychological complexity and environmental complexity. And when you've got a mismatch like that, the individual's anxiety will go up probably, employee engagement goes down, certainly wellbeing goes down, people revert to an earlier way of making their meaning that's more embedded in their expertise or the group, just to the point, they need to get more sophisticated.
John Turley:
So the problem is the mismatch between psychological complexity and environmental complexity. That's why we need to support, as the world gets more complex, that's why we need to get all get better at supporting the development of individuals into a level of psychological complexity that suits the more complex environment. That's kind of the nub of the problem. Nothing wrong with being an expert in drawing your self esteem from your expertise. People have done it forever, and will continue to do so. Every time you get in a flash car and you feel good, because you're in a car, you're drawing your self esteem from the status symbol, which is very similar to your expertise. As a young man, I put on my sharp suit and I feel a million dollars. Nothing wrong with that at all, but it's limited. That's the problem.
Sean Blake:
Understood, understood. So you've spoken about research and measurement and having an evidence based way of making decisions. When it comes to this cross functional way of working or digital transformation or teams moving from the old way of working to an Agile way of working, do we have evidence to say one way of working is superior to another way of working? And when you're talking to these clients or these customers, can you guarantee that if they work in this way, it's going to lead to better outcomes for the business? How do you approach that conversation?
John Turley:
No, I can't do either of those things. So I would never go anywhere near nor would I research saying that one way of working is better than another way of working or we can say like the mindset and the environment that there are ways of working that will work better depending on the problem that you're trying to solve. But it's very unlikely that one could be considered right and the other wrong in all sorts of circumstances, but more than that, I would say that doesn't matter what your way of working is or a team's way of working is. If the mindset is the way of making sense, if the reality doesn't also shift, then you're just following a new process, a new way of working with the old way of thinking, and you're going to get the same results just with different words.
John Turley:
So for me, that isn't entirely true, I'm quite biased. I guess in the work I do, I've got quite a perspective. If you shift mindset, then everything else will drop into place. If you change everything else, but don't shift mindset, nothing else will drop into place. What we can say however, is that there are three things, let's call them the three elements of a cross functional team that are hidden to people in organizations at the moment.
John Turley:
So generally, we think if we've got people with the right experience and skills working suitably hard, then they're going to work as a successful cross functional team. And if they're not, they're either not working hard, they're not the right type of person, or they haven't got the right set of skills, so fire them and hire somebody else or give them or put them on a training course, and that solves the problem, which of course it doesn't.
John Turley:
We would say that there are three other elements that remain hidden parts of the cross functional team that are more critical than that, and we're beginning to be able to demonstrate that there is a correlation between these three things that I'm going to tell you about on both employee engagement and team performance.
John Turley:
And these three hidden elements are the structure of the social networks that underpin the way people work. So if we think about how we as groups of human beings organize ourselves, we might think about hierarchies and hierarchy diagrams and old charts and bosses and stuff. That's not really very important for a cross functional team. What's much more important is the social network that develops across that team, who works with whom and when and how, right? Do the developers and the testers and the testers and the ops guys and the designers and the technical architects, do they all work together in a cross functional team?
John Turley:
Now that's a social network. That's a network that's formed through individual autonomy because they want to get the job done not because the boss says you've got to go and do it. In fact, it can't be done because the boss says go and do it. So we have worked with some friends in academia with actually an Australian company called Polinode to measure their various ways we can get the data, what those social networks look like. And the structure of those social networks is key.
John Turley:
As we look at the structure of social networks, we can see whether those teams look like their function, sorry, organized hierarchically, or were they organized for cross functional working because of the network structure. So network structure is one element. The other is psychological complexity. So we've worked with a gentleman called David Rook, who did the original research and developed a psychometric instrument that can measure an individual's stage of psychological complexity, both the structure and the substructure. And that mindset complexity is also linked along with network structure to where the teams can function cross functionally.
John Turley:
The third thing that was the hardest bit, the last bit of the jigsaw that we sort of put into our hypothesis is we need to have adequate degrees of autonomy. We needed to develop a much better understanding of what it means for teams to be autonomous than we had, and how that autonomy relates to control and how control undermines autonomy and how we all tend to be orientated, to taking the cues in the environment either as instructions, which we must comply with or invitations to be autonomous. And we now have another psychometric instrument. So the third instrument that we use, we call the motivation orientation scale, excuse me, that can measure an individual's likelihood to interpret inbound information as an instruction or an invitation to be autonomous.
John Turley:
And once we know that, we can start to challenge this common perception within product teams, software teams that the team is autonomous, because everybody thinks they are autonomous. And in fact, everybody is, research shows mostly autonomous, but we might be almost entirely autonomous, or we might be 60% autonomous. We can measure this. And then we can say to teams, "Look, you are autonomous as a bunch of individuals. But you also have this control thing going on where you're responding to inbound requests."
John Turley:
And we need to be more autonomous. So once we can start to measure it, we can start to challenge their ideas of how autonomous they are. And we can start to examine where the teams are choosing to respond from that control orientation or their autonomy. So they're the three things, autonomy and control, complexity of mindset and network structure, equal employee engagement and team performance. That's what our research says. So what we can say is, to your question in the beginning, there is a network structure, a level of psychological complexity and the amount of autonomy that correlates to successfully working as a cross functional team. And in that sense, we might think that those levels are right, in some sense.
Sean Blake:
Okay. So what does a 100% autonomous team look like? And do they still have interaction with, say the executive team on a day to day basis? Or are they at odds, those two concepts?
John Turley:
No, they're not at odds. They do have, they might have day to day, I suppose they would, they will have either directly or indirectly interactions with the executive team. So the first thing we need to bear in mind here is that the research that we're leaning on is something called self determination theory, which is a theory of motivation. And it has quite a specific definition of autonomy, which is not what we might normally think. Often autonomy is taken to mean as sort of the general use of independence. So if we buy a company, we might leave it to run autonomously, which would mean we just left it alone for a while. And autonomy in this context doesn't mean that. It means individuals acting of their own volition, individuals deciding how to act towards a common purpose. So the team has to have the vision which they can self organize around. You can't self organize without autonomy. If you don't got autonomy, you have to wait to be told what to do. And then it's not self organization.
John Turley:
So autonomy leads to self organization, and self organization can be around a common vision or a set of goals or an OKR is quite a sophisticated way to do instead of management by objective, then we can self organize in a way that sort of honors the need to be part of an organization, doing some coordinated work, but that doesn't rely on a manager telling the individual what to do.
John Turley:
That's what an autonomous team looks like. An autonomous team, you need the autonomy is really a self organizing team. And the self organizing team is deciding what the team ought to do in order to achieve a wider objective, which could be integrating with other self organizing teams. And obviously, the direction is set often by the executive. So all these things sort of come into play. It's not a question of control on the one hand or autonomy on the other or Agile on one hand or waterfall on the other.
John Turley:
So we're going to blend the two. We're going to balance them. And that balance needs to shift not only across teams, but also depending on the level that the organization is, that the team is working in the organization. And what I mean by that is the need for control and measurement increases in many ways as you go higher up the organization. So we want high degrees of autonomy at a team level where we're creating customer value. But we need to recognize that that self organizing team has a legitimate requirement to integrate with some elements of controlling the organization, because if we have some elements of control, then we can't do the accounting and be accountable for where we spend investors' or shareholders' money, you know what I mean? So it's much more complex in the sort of the dichotomized world that people tend to look at, which is very black and white. Is it Agile or is it waterfall? Are we autonomous or are we control orientated where you're both and the blend of which needs to shift depending on the environment here.
Sean Blake:
Okay, okay. So there's always a need for a bit of control on top of the autonomy.
John Turley:
It's a balance, right? We're all comfortable with control, aren't we? We all comply with speed limits, for example. We're perfectly okay with that. Control is not a dirty word. Some will do things that we're told to do sometimes, and we're happy to do it. Sometimes we do it begrudgingly. We're not happy to do it. Sometimes we reject it. There's nothing wrong with control in itself. It's the overuse of control to coerce people to do things that they don't want to do. That's when it becomes problematic because it undermines an individual's autonomy, which is a basic, universal psychological need. We all need to have a sufficient degree of autonomy to feel well.
Sean Blake:
Okay. Okay. So we know that Agile's had a good run, it's been decades now. So do you still find that you come across the same objections when you're speaking to these executive teams or these companies perhaps from more traditional industries? Do they still have the same objections to change as they did in the past? And how do you try and overcome them?
John Turley:
Yes, they do. So one of my strange experiences as a young project or program manager, whatever I was, is that when I would end up in a room full of software developers who were Agile, probably the language they would have used at the time and a bunch of infrastructure engineers who followed waterfall, and the distaste for one group for the other, it was almost visceral, and you could see it in them. There would be a bunch in, I don't know, Linux t-shirts and jeans, and then the infrastructure waterfall people would probably be wearing suits.
John Turley:
I mean, it was really obvious, and it was hard to bring these groups together. That was my experience in let's say, around about 2000, I sat with a client yesterday, who said exactly the same thing. They said that in their organization, which is going through a very large, Agile transformation at the moment, they said, "These are their ways. We kind of got people at the two extremes. We can sort of bookend it. We've got the waterfall people who think their way is best and we got the Agile people who are totally on board with Agile transformation."
John Turley:
And what I heard when the individual said that is quite senior leaders, the Agile people are on board with the Agile transformation brackets because they think their way of working is best. And what I tried to point out to that senior manager was that that was one group, there were perceptions anyway, that one group was into Agile and got cross functional working, all that got cross functional working and the other group didn't, actually the two groups were operating in the same way.
John Turley:
They both thought their way of working was right, and one was espousing the virtues of waterfall and the other Agile, but the fact was they both thought that they were right, and the other was wrong. And they were both wrong in that. Waterfall works really, really well in a lot of scenarios. And full on Agile works really, really well in some environments. In some environments, it's quite limited by the way, in my opinion.
John Turley:
My friend and colleague, John Kern, who was a co author of the Agile Manifesto in 2001 or 2004, whatever it was, I can't remember. He says, "I love waterfall. I do loads of waterfall, I just do it in very small chunks." And because the fact is we've got to do work sequentially in some manner. I can't work on an infinite number of things in parallel. There has to be a sequence.
John Turley:
And that really, when I heard him say that, it sort of filled my heart with joy in a way because for somebody with a waterfall background, I used to say, "Look, I don't get this. In waterfall project management, we're talking about stages. And in Agile, we're talking about sprints." And they've both got an end. One's got a definition of done. And one's got some acceptance criteria, and they both got a beginning. The only difference is the language and the duration.
John Turley:
So what if we make sprints, sorry, stages 10 days long? What's the difference now? And yet people would say, "Well, we're Agile, and we do sprints, and that would still be a stage." Come on, we've got to find some common ground right to build a common meaning making between large groups of people. Otherwise, only the Agile listeners amongst us can work for Agile organizations, and everybody else is doomed. And that's not true, is it? That's nonsense, right? So we've got to come together and find these ways of working as my friend John Kern points out so eloquently.
Sean Blake:
Okay, that's good advice. So for these, some people that you meet, there's still this resistance that has been around for many years. How do you go about encouraging people to get out of their comfort zone to try this cross functional way of working and be more transparent, I guess with contributing to the team and not necessarily pushing towards being just an individual contributor?
John Turley:
Another great question, Sean. So there are a couple of ways we can do it. The psychometric instrument that I mentioned earlier, that can sort of measure I kind of always put that in inverted commas, because it doesn't really measure anything, it assesses, I suppose, is a really, really powerful tool. Off the back of that measurement, the psychologists that we work with can create a report that explains lots of this sort of meaning making stuff, adult developmental psychology to the individual. And it tends to be mind blowing. It really shifts people's perspective about what they are and how they're operating in the world.
John Turley:
Once people start to understand that there are these developmental stages, and we all move through them potentially to the last days of our life, we can start to see the disagreements. They just start to fall away. Disagreements start to fall away, because they cease to be seen as opposing views that can't be reconciled, because I'm this type of person and they're that type of person.
John Turley:
And they start to be seen as incompatibilities in meaning making. So people start to go, "Okay, well, I think this and you think that. How are we both making our meaning around this, that means we can see other's perspective?" And immediately, then you've started to find a mechanism to find some common ground.
John Turley:
So the leadership development profile report, which is the report that comes from the psychometric instrument really sheds a lot of light on for the individual, both on how they're working and what development looks like, what psychological development looks like for them. So that's a powerful tool. We have another service that we call dialogue partnering, which we're piloting, which is sort of what over an eight or 10 week program, it's a one on one collaborative inquiry into how an individual is making their meaning, and what the strengths of their meaning making and the limitations of their meaning making are.
John Turley:
And once people start to realize that the way, the reason they feel defensive because the way they code has just been criticized is because they're drawing their meaning from being the best coder on the planet. But there is a development path that leaves that behind, which is where many, many people get to. It's kind of like an a-ha moment, people just realize that reality is different to what they thought and it can be adjusted.
John Turley:
So the LDP, the Leadership Development Profile reports, dialogue partnering, and working with senior management to create a deliberately developmental environment, which does those things I mentioned before, they're the critical tools that we use to help individuals unlock their own psychological development. And the question is, of course, why would they be motivated to do this? Why would they care? And they care, because 80% of people have got a very low level of engagement in their work. Most people are treading water, killing time. It's not a joyous place to be. Once people start to work in cross functional teams and get involved in joyous work with their colleagues to create things they couldn't, which is a basic human instinct, that's a buzz, then you come into work and enjoying yourself.
John Turley:
That's what I said to you at the beginning of that call, right? I'm having a great time, I'm working with some brilliant people unlocking new knowledge that we believe humankind doesn't have. That's a buzz. I'm not treading water in my role, you know what I mean? And this isn't unique to me. In my view, the whole world could be like that. We could all work in roles like that, maybe that's got a bit far. But certainly, many more of this could then currently do to get on board with the psychological development and enjoy your role more, enjoy your work. There's a lot of time.
Sean Blake:
Yeah, I really resonate with what you said about the buzz. And I've seen that happen when the light bulb comes on in people, and it's no longer this factory line of work getting passed down to you. But you realize you're now part of a team, everyone's there to support you, you're working towards a common goal. And it's transparent, you can see what other people are working on, and you're helping each other build something together. It's actually fun. For the first time in a lot of people's careers, it's a fun and enjoyable experience to come to work. So that must make you feel really good about doing what you do.
John Turley:
Yeah, it does. It's why I get out of bed, and it's what I've been about for 20 years trying to unlock this, really help other people unlock this. I got a phone call from a colleague the other day who said they were doing some exercise, and they were thinking about their new role. And they thought to themselves, this is what it feels like to do joyous work.
John Turley:
I mean, that [inaudible 00:42:51] job done, because this is a very capable individual. Once they're feeling like that, you know that they're going to do great things. When they're feeling like they're other people feeling, that people are clot watching, or there's this culture of busyness, where we can't admit that we don't know things. And then we've got to be in a meeting doing something, in the transparent world that you're just talking about, if I've got any work to do, I can just sit and say, "I'm going to work today, I'm waiting for more stuff to write." And it's not a bad thing. It's like, great, you're working at a sustainable pace. That's a good thing. I worked for a Swiss bank for years and years, working at a sustainable pace but nobody was interested, you need to work at a full on flat out unsustainable pace. And when you're burned out, you can go and we'll get somebody else to come in and do it. That's how it works. That's miserable.
Sean Blake:
It's not what we want, Sean, is it? It's not what we want. And unfortunately, a lot of people have been there before and they've experienced it. And once they see the light, they never want to go back to it, which I guess is a good thing once you recognize that there's a better way.
John Turley:
Yeah, agreed.
Sean Blake:
Yeah. Okay, well, I think we're going to wrap up shortly. I do have two more questions for you before we call an end.
John Turley:
I'll try and keep the answers brief.
Sean Blake:
No, that's fine. I'm really enjoying it. I could probably go for another hour but I know we've got other things to do. So in the research, I've read some of your blog posts, and I watched some of the talks that you've done and events in the past, and you speak about this concept of hidden commitments. And I just like to learn a bit more, what is a hidden commitment? And what's the implication?
John Turley:
Great question. So Robert Kegan and Lisa Lahey, developmental psychologists, wrote a book called Immunity to Change. This is a book that I read here a few years ago. And in there, Bob and Lisa talk about hidden commitments. And so they start by pointing out that we all make New Year's resolutions and they all fail. We really mean them when we make them. And when I was in my late teens, maybe I really did mean them when I made them. But I could never keep them.
John Turley:
In another book, Kegan points out, I think it's in the book called The Evolving Self. He points out that a large majority of men, after they've had heart attacks, I think it's a study in America. But it's been a while since I read it, I think it's six out of seven, don't change either their diet or their exercise regime after they've had a heart attack. And the reason he uses that as a case study in the book, because he's pointing out that it's not that these people don't know what to do, you need less calories in, more out. And it's not that they're not motivated to do it. They've had a near death experience. They'd like to stay alive, we presume.
John Turley:
Yet still, they don't make any meaningful change to their diet, their exercise regime, why not? And what Bob and Lisa say in the book from their research is that it's down to hidden commitments. We all have our way of making meaning. We have our values and our assumptions that we absorb from society as if by osmosis. And we don't question them. We can't question all of the assumptions that we absorb as we grow up. It's just not possible. So we have these hidden assumptions that we're committed to hidden commitments. And sometimes, these hidden commitments conflict with our stated objectives. And when the hidden commitment conflicts with our stated objective, the result is that we get very confused about the fact that the stated objective sort of falls by the wayside, and we don't really understand why. We might think, I would think a common out, because I just need to try harder, I just need more willpower. I just need to stay the course. And it's not true very often. There is something else in your meaning making this conflicted with our stated objective. And once you can surface it, then you can start to examine that hidden commitment, and you can play around with it.
John Turley:
And when you can play around with it, then you're adjusting your meaning making. And the technique that we use in dialogue partnering comes from Bob and Lisa's book, where we're essentially uncovering those hidden commitments and seeing how they conflict with commitment. So that's sort of, and then once you can see it, and you can experiment with it, you can start to unlock change in yourself. Peter Senge, I think he's director of innovation. He's very famous, director of innovation for MIT. And he has a beautiful little quote, something like, "What folly it is to think of transforming our organizations without transforming ourselves?"
John Turley:
We need to change our relationship with power in order to change the way power is distributed across our organizations. And that's an example of a hidden commitment that we don't normally think about. We just think we can empower people magically, whilst retaining all the power for the senior manager. And that just doesn't work. There's a hidden commitment, conflicting with the idea that we want to empower our teams, which is a quite flawed idea.
Sean Blake:
Wow. Okay. Well, I really like the approach to work and looking at the social structure, the social networks, and the psychology behind it all. It's really fascinating and it's not something I've really come across before, especially in the Agile space. So that's really unique. Thanks for sharing that, John. Last question for you. 2020 has been interesting to say the least. We've talked about some things that have stayed the same over your career, some things that have change. What do you think is going to come next, looking forward to the next five, 10 years? What are some of those trends that you think are really going to stand out and maybe change the way that your work, it changes the way that that your nine to five looks or changes the way that you interact with your clients?
John Turley:
I think that this won't just change the way my nine to five looks. It will change like everybody's nine to five looks. I think that the world is in a difficult place. A lot of us are upset, and it looks like a bit of a mess, and we're all anxious, I think. A lot of us are anxious. But as a friend said to me, he was quoting somebody else, never let a good crisis go to waste. The amount of changes, a lot of energy in the system, the amount of changes in the system is palpably changing things.
John Turley:
Many of us recognize there must be a better way of doing things because our ways of organizing ourselves as society, including our organizations is collapsing. It doesn't work anymore. People are realizing through work that people like the names I've mentioned, and through our original research, I hope will sort of contribute in an original way to this, that there is a better way of organizing ourselves that humankind does have the knowledge and the experience to do what we need to do.
John Turley:
It just isn't in IT. We need to look outside of it to what the psychologists say about mindset, not what the Agile people say about mindset. That's a radical idea. And as we import this learning and this knowledge, we have a framework that helps us understand to a much greater degree what's really going on, and how we can unlock real change. So everything that I talked about today, very little of it is original. We have some original work I can't really talk about. Does it matter? The knowledge is out there. If we do the people and culture bit and the tools and the methodology together, then it scales, then we change the way organizations work, which is going to change everybody's nine to five.
Sean Blake:
That's great. It's bringing it back to basics, isn't it? What we know about human beings, and now let's apply that to what we know about work. So that's really eye opening. And I've learned a lot from our conversation, John. I've got a few books and a few research papers to go and look at after this. So thank you so much for appearing on the Easy Agile podcast, and we really appreciate your time.
John Turley:
Sure, my pleasure. I mean, I love and we love at Adaptavist to sharing what we're doing. So we can all engage in more joyous work, man. So thanks for helping us get the message out there.
- Podcast
Easy Agile Podcast Ep.15 The Role of Business in Supporting Sustainability Initiatives with TietoEVRY

"It was amazing to talk with Ida and Ulrika from TietoEVRY, they are truly leading the way in sustainability" - Rebecca Griffith
Rebecca and Caitlin are talking with Ida and Ulrika from TietoEVRY, about big picture sustainability and the role of business in supporting sustainability initiatives.
🌍 Implementing sustainability in daily business operations
🌍 The role of technology in advancing sustainability
🌍 Ensuring your sustainability & DEI report doesn't turn into a stagnant document
🌍 Framing challenge in a way of opportunity
🌍 Getting the whole team on boardAn important listen for everyone, enjoy!
📲 Subscribe/Listen on your favourite podcasting app.
Transcript
Caitlin Mackie:
Hi, everyone. Welcome to the Easy Agile Podcast. I'm Caitlin, marketing coordinator at Easy Agile.
Rebecca Griffith:
And I'm Beck, team and operations assistant at Easy Agile, and we'll be your host for this episode. Before we begin, we'd like to acknowledge the traditional custodians of the land from which we broadcast today, the worthy, worthy people of the Tharawal nation and pay our respects to elders past, present and emerging. We extend that same respect to all aboriginal and Torres Strait Islanders people joining us today.
Caitlin Mackie:
Today, we're joined by Ida and Ulrika from TietoEVRY. Welcome. Thanks for joining us.
Ida Bohman Steenberg:
Thank you so much for having us.
Ulrika Lagerqvist Von Unge:
Thank you.
Rebecca Griffith:
It would be great if we could start with some introductions. Ida and Ulrika, could you tell our listeners a bit about yourselves and your role at TietoEVRY?
Ida Bohman Steenberg:
Yes, of course. I'm Ida and I'm heading up the sustainability team at TietoEVRY since four years back. And Ulrika?
Ulrika Lagerqvist Von Unge:
Yeah. I work within the sustainability team as a sustainability manager also here at TietoEVRY.
Rebecca Griffith:
Excellent. Thank you. Thanks for the introductions. Let's jump in. For our listeners who might not be familiar with TietoEVRY, can you give us a bit of an overview about what the company does?
Ida Bohman Steenberg:
Yes. Sure. We are a company based in the Nordics, like very, very far away from sunny Australia. We are a tech company. We provide different solutions. For instance, in software, cloud and infra and also business consulting. I think nowadays, we are the biggest tech provider in the Nordic, at least.
Caitlin Mackie:
Sustainability is a huge part of TietoEVRY. You really have a robust sustainability game plan and your strategy for 2023, which highlights your key priorities for ethical conduct, climate actions and creating an exciting place to work for your employees. Can you elaborate on the sustainability game plan for 2023?
Ida Bohman Steenberg:
Yeah, we would love to. The sustainability game plan is our long term plan that we created last year. We were actually two companies merging into one last year. We had different legacies. X Tieto were good at some things and X EVRY were good at some things, but of course, we had lots of challenges too. We had to sit down and really try to find out what should be our focus going forward and not only actually to build upon what we already have, but also look at the major challenges out there to see like, where do we want to be and what role do we want to have? We created a game plan that is two-folded. We have like the responsible operations that is the traditional sustainability work that you would find at any organization that takes sustainability seriously.
We have the ethical conduct where we have business, ethics, and the corruption, cyber security, privacy, human rights, responsible sourcing, for instance. Then, we have exciting place to work, which is more like HR related because we're people companies, we have to be very good at this in order to attract the right talent and also to keep the talent that we have. We have major challenges when it comes to bringing in and keeping women in our sector, for instance, so we have to be very good at diversity and inclusion and also employee experience, of course, to make this a fun place to work at. Then, of course, climate action may be the one thing that people think about most when they think about sustainability due to the emerging climate crisis. We work a lot with that, of course, and also circular economy and our take on that.
That is like the foundation for us that we have to be very good at like our license to operate, and we work throughout the value chain with these topics, but then because we are a tech company, we also wanted to see what can we do to not only improve our own sustainability performance, but foremost our customers? What's due, I think, and what really stands out for TietoEVRY now is that we have this really, really strong business focus going forward for this sustainability game plan. I was thinking maybe Ulrika could take over and explain and elaborate a little bit about the upper half of the circle.
Ulrika Lagerqvist Von Unge:
Yeah, exactly. What we identified when we were developing this strategy or long term plan was that some of our biggest impacts also actually resides among our customers. We have a lot of capabilities and we have a lot of customers, so why not combine those and see where do we have the biggest opportunity in terms of actually helping our customers to become more sustainable? We developed a methodology where we investigated our capabilities, our customer pain points, our customer opportunities and landed in four broad impact opportunities. That's where we have business opportunities in making our customers sustainable. Those are new focus areas within our sustainability long term plan, where we engage with our own business to drive these areas and develop together with our customers to create positive impact on people, planet and societies.
Ida Bohman Steenberg:
I think also if I may add to that, Ulrika, so we set the plan to do that, and we had of course, a lot to build upon. We had lots of good reference cases, but of course, we needed to pin it down to get the buy-in from management. Also, of course, get the resourcing. We started with identifying those areas where we think that other people have, or other customers or stakeholders have impact opportunities, which means a business opportunity for us. We must not forget that, but in order to actually deliver in a good way and at the speed that our customers require, we also had to create a consultancy team that could help in the delivery organization because the customer requirements become... The pressure was so high.
For our little team group sustainability, we couldn't really handle everything, so we created something that we call the sustainability hit team, which is a consulting team consisting of consultants that knows data and sustainability within business consulting. Ulrika, you have been given also... You have the role of leading this group, perhaps you would like to say something more about that group?
Ulrika Lagerqvist Von Unge:
Yeah. Yeah. Sure. Well, this is a group of people that, just as Ida said, they have this kind of expertise, combining sustainability knowledge with IT and technology. We work together to identify both ongoing projects that might be related to sustainability in one way or the other that we perhaps can scale and create synergies, but we also work to identify new opportunities, having our ears towards the ground and listening into what do the customers actually want to have. Then, we take in these opportunities and try to see how we can develop them to actually support our customers. Hopefully, this team will just continue to grow and us with our other efforts, become very integrated in all our business operations. That is at least our aim, so the responsibility lies where the responsibility is sort to say.
Rebecca Griffith:
That's wonderful. Now, I think you've kind of touched on this in a broader sense, but in the TietoEVRY annual report, you talk about implementation of sustainability into daily business operations. What are some other key ways that you're doing this?
Ulrika Lagerqvist Von Unge:
Yeah. If I can start, Ida?
Ida Bohman Steenberg:
Sure.
Ulrika Lagerqvist Von Unge:
I think one of the most important things is to involve everyone from the beginning in what we actually should focus on and what are the most important topics in terms of sustainability, both for all our stakeholders, but also for our business, so that we actually give the ownership of sustainability to the organization. Not so that they feel it comes from the side or from above, but it's actually something that is relevant and that the organization owns. That means that each and everyone has the responsibility to also contribute to our joint targets that we also have involved the different business leaders and parts of the organization in setting. I think that ownership is a keyword here to actually enable integration of sustainability in the operations. Ida, do you agree?
Ida Bohman Steenberg:
Yeah. No, but the group sustainability, our group, we are a small team consisting of specialists with long experience, but we are only so many, so we have to have a very integrated way of working in order to make this fly. What we've been focusing on a lot since many years back is to get it integrated. For instance, if we look at responsible sourcing, which is crucial how we handle our supply chain. We work closely together with a chief procurement officer. The sustainability goals that we have that are public and that we disclose every year in our annual report is just as much his goals as it is our goals, so we really get some power behind driving it and we get the results that we need in order to move forward. That is one thing. Then, as Ulrika explained earlier in the last question about the sustainability hit team, how we also now have taken this step further to really approach the business in a more structured way that we have done before. As I said, we had very good reference cases and we have a portfolio of sustainability related services, but now we're doing this in a much more structured manner because of the market, the demands that has increased so much.
Caitlin Mackie:
Yeah. That's great. I think what you mentioned, having that structure helps with that company buy in and getting everybody on board and realizing that it's everybody's commitment and it's like a journey you're all on together. Yeah. I think that's great. Something that's often talked about is the overlap between business and sustainability and the role of the business in addressing some of the major challenges we face as a society. I think so many look to clearly distinguish their responsibility and draw a line somewhere, but I'm not so sure that's the right approach. TietoEVRY certainly recognizes they have an important role to play and really pave the way towards carbon neutrality. What's your approach to this?
Ida Bohman Steenberg:
Okay. First of all, I think there must be an overlap or there must be like, if you are a company like we are, we cannot do things that we don't think also is good for us, like financially long term. That is the beauty of sustainability. If you have good and long term targets, it's also support the growth of the company in financial terms, so we always have both those perspectives in mind, creating strategies going forward. For us, we work both for our own operations when it comes to climate change to decrease our carbon footprint, obviously, so we are changing. We have renewable energy in all our data centers and offices. We are now currently at 80% and approaching 100. It's going to be difficult. The last percent is always the most difficult ones, but we have a good development as for now.Then, of course, we work super hard because this is the, I think number one question that our customers is asking for, ways to manage their own carbon footprints. Here we are strong in data, of course. Do you want to add something around that?
Caitlin Mackie:
No, but I think that the first reflection that you had that we have this financial perspective also when developing the sustainability plan, it's important because I think that what we see is that... Our business is doing business. Yes, of course. But if you don't do it right, there will be no business on a dead planet, right? So that you have to have the long term perspective where you take into account all the different aspects. It's not only the financial, because they're also interlinked. I think that also the risks that are connected to, for example, climate change for business operations, so the inbound risks that the surrounding is posing to us are becoming more and more clear. I think that it's also becoming evident that if you don't have sustainability integrated in your operations, you will no longer have a license to operate in 2021 and beyond. I think it's just a smarter way of doing business, to be honest.
Rebecca Griffith:
We can all acknowledge that climate action is one of the biggest global challenges for our generation. In recognizing that this is one of your key priorities to address, how do we take these challenges and frame them in a way of opportunity?
Ida Bohman Steenberg:
Well, this is the beauty of being a tech company. We have the luxury of not having lots of goods that we need to take care of cotton or food or so, so we can go straight to the point, I think, and start to listen to what our customers need and create services and solutions that support them in their journey to decrease their carbon footprint. It sounds very easy when I say it like this. It's not that easy, of course. It requires a lot of hard work and everything, but that's what we should do. I think that when you look at the crisis that is emerging, the tech industry is also seen by the other industries as the great enablers. I think that we have a key role to play. I think that we have a responsibility to our stakeholders to be there and to be in the forefront.
I think that's what we've been doing. For instance, for the last year, the guest team has been working on a very interesting solution called the sustainability hub, which actually addresses this spot on. Would you like to...
Ulrika Lagerqvist Von Unge:
Yeah. Yeah. Definitely. I totally agree with you, Ida. The tech industry, it's really an enabler and that also means that there's a lot of business opportunities. As you said, the sustainability data hub voice, one of our responses to these kind of business opportunities that we see out there, so what happened was that we were sitting and discussing and realized that one of the biggest obstacles for companies to actually integrate sustainability into decision making, into risk management analysis, et cetera, is the lack of data as you have now produced your own ability report, the big hurdles that comes with actually collecting the data for that report, it sits in shattered data sources.
The collection is often manual. The data might not be in the right shape. Most companies actually collect the non-financial data once a year for their annual sustainability report. That means that when you have that data, you are actually steering through the rear view mirror because you are not steering proactively by taking fresh data into account when you take your decisions or plan your operations. What we did was that we started to develop a solutions, which builds on automating the data collection of sustainability data by helping customers to identify where does the data sit? How can we actually automate it? Is it via automation, via IoT solution? Who will use the data? Which KPIs and metrics do we want to map it against? How often do we want the data to be updated? Then, visualize it in real time? A modern way of an ERP system for ESG data, you could say, so that it is actually possible to equate non-financial inform and with financial information.
That should give the opportunity for companies to treat the data in the same manner and actually integrate sustainability into the decisions that they take. For example, let's think about the impact of us going from working at the offices to now working hybrid. What are the actual impacts? Can we see that the sick leave has increased or decreased? How has the carbon emission been impacted by us not traveling back and forth to the offices? If we have that data, we could also use that to decide whether we should continue with hybrid working, or if we should force our employees to come back to the office, or if everybody should be working from home. If you can get hand of that collective view of the activities that you take, you could also make more holistic and informed decisions. That's one response kind of how we try to treat sustainability as a business opportunity and identify which are the pain points that our customers have in terms of co-creating a sustainable future, and where can we tap in into that? That is the kind of beauty, as you said, our industry.
Ida Bohman Steenberg:
It is.
Rebecca Griffith:
Really interesting looking at it in real time, as you said, as opposed to a retrospective assessment of the data, which really, you can't change.
Ulrika Lagerqvist Von Unge:
Exactly. Yeah.
Ida Bohman Steenberg:
Yeah.
Rebecca Griffith:
What's the point in waiting another 12 months to then look at it again when you have completely done [crosstalk 00:18:32]?
Ida Bohman Steenberg:
Yeah. Both sustainability.... Yeah. Sorry. Both sustainability and tech is moving extremely fast. I think we need to work like this. I think customers are going to require... We see more and more before they wanted us to report once a year, but now so many of our customers, they want us to report different types of data related to the solutions or our delivery to them on a quarter basis. The more we can have real time data, I think it's going to be the new normal very soon.
Ulrika Lagerqvist Von Unge:
Me too. That will be a huge game changer for companies. When the data is there, you can get it black on white. There is no excuse for taking bad decisions, right?
Caitlin Mackie:
Yeah. Yeah.
Rebecca Griffith:
Quite exciting.
Caitlin Mackie:
Exactly. I don't know about you, Beck, but I'm definitely sitting here being like, "Wow," at all, like this would've been super handy 12 months ago.
Ulrika Lagerqvist Von Unge:
Yeah.
Ida Bohman Steenberg:
It's out there. Yeah.
Ulrika Lagerqvist Von Unge:
Yeah.
Ida Bohman Steenberg:
It's on the market, so you're more than welcome.
Caitlin Mackie:
All right.
Ulrika Lagerqvist Von Unge:
I think that's also typical from sustainability that you have to understand that the solutions to all of these kind of complex problems, they can't be solved by any actor. We need to work in ecosystems and everybody will have to bring their expertise to the table. Then, we can get things to actually be solved. I hope that that logic will also impact other areas so that we more try to cooperate instead of having the cake ourselves, because then there will be no cake left over. That would be sad.
Caitlin Mackie:
It's so, so refreshing to hear you say that. I think for so long businesses have always had this idea about, "Oh, competition," and like, "Keep what's yours. Keep it to yourself. We're going to succeed in this area." But moving into this space, it's just not about that anymore. It's about how we can collaborate together to reach those solutions. I think that's so powerful.
Ida Bohman Steenberg:
For sure. No. Sustainability is horizontal work. As an organization, as an entity, as a company, we are not stronger than our closest stakeholders anyway. Our performance is very much reliant on their performance.
Ulrika Lagerqvist Von Unge:
I think it's so interesting also because since we come from that kind of background, Ida and I also always working across all silos, across all kind of company functions. We also get a special role in our company because we don't have the legacy of working in silos, so we just totally break them all the time because we're not aware of them. That's just what is needed to be able to get the job done. I think that it's really interesting to see how the organization actually appreciates that.
Ida Bohman Steenberg:
Yes. Sometimes, they don't.
Ulrika Lagerqvist Von Unge:
Sometimes, they don't. Exactly. Sometimes, they don't. Yeah. That's true. Yeah.
Ida Bohman Steenberg:
But we have our battles internally. If you're a sustainability professional working in a big organization, you must be very prepared to have those tougher discussions as well, but we all get there, not always on time from our perspective, but that's the way it has to be. Fearless and just...
Ulrika Lagerqvist Von Unge:
Stubborn.
Ida Bohman Steenberg:
Stubborn, and don't be too bothered about silos or hierarchies or so, because then you will never get anything done.
Caitlin Mackie:
I wanted to highlight or expand on the idea of opportunity and the fact that we constantly need to be exploring new and better ways of doing things so that we can move forward. It would be great to get your thoughts on the role of technology in advancing sustainability. I know you've touched on it, but it'd be great to elaborate.
Ulrika Lagerqvist Von Unge:
If I start, then you can build on it.
Ida Bohman Steenberg:
Sure.
Ulrika Lagerqvist Von Unge:
I think that some of the business opportunities or the solutions that we can develop are cross industrial. For example, the need for data and the need to get hold of it and to visualize it and to be able to act on it, is of course, something that all companies in all industries could make use of. But then, I think that for many solution, they are industry specific. For example, logistic. They need certain solutions to be able to optimize their logistic, their rooting, or to better pack their lorries and trains, et cetera. But I think that... There are both this industry specific solution and this cross sectional business opportunities stuff that you have, and also one of the hidden gems within the IT sector is the side effects of digitalizing services or solutions.
It's also important to understand that even though a solution might not be developed and deployed for the use of mitigating or climate change, for example, the actual impact of its implementation might lead to less carbon emission. Let's think about we have a solution that is called patient engagement. It means that you could engage with your doctors and nurses over your phone, which means that you don't have to take the public transportation or your own car to the hospital or to the medical clinic, which of course saves that transportation and in turn, saves carbon emissions if you travel with something except for an electric car. Many of the digital solutions actually have that positive hand print impact or effect, I would say. Of course, the opportunity of expanding on those is also massive and to identify them, perhaps it's the possibility. If you have a patient engagement app, could you use it for other purposes for other users to increase the impact.
Rebecca Griffith:
At Easy Agile, one of our goals was to establish a baseline and publish our very first sustainability and diversity report, which I believe we've shared with you. We'll also share that report as well as the TietoEVRY annual report in the show notes for our listeners. But what advice would you give to organizations to ensure that these kind of documents don't turn into a stagnant document or a mere check of the box exercise? How do we use these reports to encourage conversation and continually seek ways to improve?
Ida Bohman Steenberg:
Okay. I get so many thoughts now. First of all, keep up with an upcoming frameworks. Don't get stuck in all the good old GRI for instance. In the European Union, so we are now approaching the taxonomy reporting or TCFD or so on. Go for those new ones. Also, of course, everybody has to do the ground work. You have to do your stakeholder engagement, the dialogues, the materiality analysis in order to know that you focus on the right things and so on, and you have to have really concrete goals and action plans and KPIs and everything, so you can measure your performance against the goals that ultimately what sustainability reporting is about. But then, I think the opportunity with reporting, because reporting can be a little bit boring too, in a sense, and it can feel stagnant in a way. It is that it's such an important tool in the strategy work.
This is where you get the attention from the leaders like, "What goals are we going to have and how did we do and so on?" That's where you can have the good discussions or you can also raise the ambition level as you go along. That I think is really crucial. Use it as a strategy tool as well, and then never get stuck in like, "Oh, yeah. It's good. We met our targets. We moved 3% forward or whatever." Don't think so much about that. Think about lie what are the major challenges right now? What is your role as an organization? No matter what organization you are, find your way to be part of the solution instead. We have that discussion sometimes internally. People are like, "Oh, but you're doing so good. You have a good results and so on."
But for me and Ulrika and our sustainability professionals, we're like, "Yeah. Okay. We move forward. That's good." But from a greater perspective where we are reaching the tipping point for the planet, so we feel other pressure in order to move forward faster. Don't end up in like, "Yeah. We move forward. We're keeping the pace." Full on power ahead, and speed is of essence going forward.
Ulrika Lagerqvist Von Unge:
Yeah. No, I fully agree. I think that's really good reflections to hook the sustainability reporting up on the challenges to understand. What are the purposes? What are we actually trying to achieve by this report? We are trying to contribute to minimize the negative impact and to increase the positive impact, and the sustainability report is a tool for that. I think another thing that is really important is to actually also engage with the organization to get them define their own targets and their own metrics to report on, so that they feel ownership. For some of the areas that we have in our sustainability report, when we have an engaged partner within the organization that themselves have ideas on targets, we develop their own KPIs.
They feel that, "I really believe in this. I want to work with this." Then, the follow up and the continuous reporting is much easier than while we have perhaps other parts of the organization where there isn't so much clear targets internally, so that the sustainability report is more felt like something that is done on an annual basis just collecting the data, but not making use of it actually. Just create that commitment and build on the company's own targets and own KPIs that are useful. Then, of course, sometimes if you do report according to a sustainability framework such as the GRI standards, which is commonly used in Europe, then you, of course, need to report according to some of the metrics in that standard, but then add your own key guides, your own metrics, because that will make the organization feel engaged, I could say.
Ida Bohman Steenberg:
Yeah. Yeah. Basically to summarize that, so three things, do the groundwork according to the upcoming and fresh frameworks, and then two, use it as a strategic tool to have those important discussions with management and make it a part of the overall strategy, so you don't end up with the sustainability strategy and an overall strategy. Then, three, be bold. Look at the challenges and not only what's doable or keeping the trend or whatever. Those three things, I think is important to have in mind.
Rebecca Griffith:
Spot on.
Caitlin Mackie:
Yeah. I love that. I think that's great advice, especially the idea of you're mapping out what you're doing internally and what that looks like, but being able to take that step back and say, "Okay. But what does this contribute to in the big picture? What are we actually helping and what are we doing to move in the right direction?" Something that I often think about is things like the UN sustainable development goals and looking at those and being like, "Well, what can we do to of map where we are at and where can we offer? What can we be doing in this space that helps reach those targets?" Yeah. Great advice. I love it. But I think just to wrap us up, our last question for both of you is looking forward, what keeps you hopeful?
Ida Bohman Steenberg:
It keeps me hopeful. Well...
Ulrika Lagerqvist Von Unge:
For me, I think the younger generation, to be honest. I think that seeing my brothers' daughters that are teenagers, or to see [inaudible 00:31:19] and the commitment that she's able to steer up, I think that gives me hope that things will move faster in the future. I think that's positive.
Ida Bohman Steenberg:
Yeah. I also second that. I think I visited the school last week with students like 18, 19 years old, and I've been doing that every year for a couple of years now and I always ask them, "What do you know about sustainable? What do you think about it?" Before, it was like, "Yeah. The environment or recycling maybe," but now they were like, "Yeah. The UN SDGs..." So the level of knowledge has increased so much. There is huge interest and when I gave them, "What can you do on a practical level if you want to live a more sustainable life?" They were like, "Yeah. Don't buy a new party cup for the Friday night. Borrow from your friends, or there are these sites. I can text you these sites where you can borrow dresses and stuff like that." They are doing it in real life in such a good way where they combine technology and sustainability, so they're much more tech savvy than we are. I was very inspired by that.
Ulrika Lagerqvist Von Unge:
They're also willing to actually sacrifice stuff. It's like, "No, we don't fly. We don't do this because we would like to have a future to live in." I think that that is something which we are so comfortable and so used to having a certain lifestyle, but they are perhaps not and they are challenging that lifestyle that we have been having, which has also led to where we are today.
Ida Bohman Steenberg:
I think also to add to that, I think that finally the leaders of our countries are getting it, at least getting close to getting it. I think things are changing, so that's good, but my hope stands to the young ones still.
Rebecca Griffith:
It's nice to feel that it's becoming a normal part of consciousness for the newer generations where it's something that we had to learn to appreciate and respect and to take action on, but it seems to be a part of their upbringing and a way of life now, which is great.
Caitlin Mackie:
Well, I think that's great. I think it's great to leave the episode on such a high and leave the audience with a bit of inspiration moving forward. Thank you both for taking the time to chat with us and sharing your expertise with the Easy Agile audience.
Ida Bohman Steenberg:
Thank you so much for having us. It was fun to talk to you, and it's nice also to talk about the perspectives from the Nordics and from the tech industry. Thank you very much.
Rebecca Griffith:
Thank you.
- Podcast
Easy Agile Podcast Ep.10 Kate Brodie, Director of Digital AI and CCAI Program at Optus
"It was great chat about Kate's experience working in an agile environment, and learning what artificial intelligence looks like at Optus"
Kate shares her experience of an agile transformation at Optus and the incredible impact it has had on the company. Delivering faster & enabling a sense of ownership & accountability amongst teams.
Kate also shares some great advice from embracing hybrid roles throughout her career, a gentle reminder to never put limits on yourself and adopting a “no risk no return” mentality.Be sure to subscribe, enjoy the episode 🎧
Transcript
Hayley Rodd:
Well, thank you for joining us here on the Easy Agile Podcast. Here in Wollongong things are a little different from when we last had a chat. We've since been put into lockdown as part of the Greater Sydney region, but I'm delighted to bring you this podcast from here in Wollongong. And also it maybe helps ease some of those lockdown blues that you might be suffering if you're in the same part of the world as I am today or if you're in another part of the world that is maybe in the same predicament that we find ourselves here in Wollongong in. So, I'd like to introduce myself. So my name is Hayley Rodd and I am the product marketing manager or one of the product marketing managers here at Easy Agile. And I have a great guest today, an old friend of mine but before we kick off with the podcast, I'd like to say any acknowledgement of country.
Hayley Rodd:
So here at Easy Agile, we acknowledge the traditional custodians of the land where we work and we live. We celebrate the diversity of Aboriginal people and their ongoing cultures and connections to the land and waters of New South Wales. We pay our respects to elders past, present and emerging and acknowledge the Aboriginal and Torres Strait Islander people and their contribution to the development of this tool. And now, to our guest, Kate Brodie. Kate is an old friend of mine from here in The Ngong or Wollongong if you're not from this region. And has been very successful in her pursuit of a career in technology. So a little bit about Kate. Katie is the director of digital AI and CCAI programs at Optus. Kate is now based in Sydney, Australia and is a leader in AI, digital and new emerging technology. Katie is responsible for Optus's AI, digital, portfolio and chapter working in an agile environment every day today.
Hayley Rodd:
Kate leads the development of new products to take to market and scale routines in an agile environment advocating for build, measure, learn culture. Most recently, Kate has been in charge of leading an enterprise first to market API consulting chatbox in Australia, compatible with Google Home. So obviously Kate is an extremely impressive person and I wanted to chat to her today about her career and also her role in the Agile team. But beyond that, I wanted to touch on women in technology and leadership, something that Kate has spoken about recently with Vogue Australia. So, thanks so much to Kate for joining us today. And I can't wait to share some of the advice from the lessons that Kate has learned through her career. Thank you so much for joining me today, Kate. It's really wonderful to see you. So could you tell me a bit about, I guess what your day-to-day looks like when you're at the office?
Kate Brodie:
Yeah, thank you for having me. My day-to-day is quite varied. I would say that in my role, I'm very lucky to work with lots of different people, engineers, designers, business people, marketers and more recently a lot of different partners including Google. So, a lot of my day is working between different groups, strategically thinking about how we're going to continue to create a particular vision and future together for our customers. And then parts of it are related more to the technology and how we're ensuring that we've got our teams performing at a level that will allow us to meet those goals. And yeah, day-to-day, I'm talking to a lot of different.
Hayley Rodd:
So, when we were chatting just before we started recording, you were telling me a little bit about your start in marketing and now you've moved over to technology, can you tell me a little bit about how you don't want people to feel pigeonholed, I guess in their careers or in their career path?Kate Brodie:
Yeah, absolutely. I really believe that anyone can get into anything if they put the effort behind it. And so I really think that no one should ever put limits on themselves. For me, it was partly because I was surrounded by really great people who supported me in trying lots of different things. And I think the way in which you build your confidence and start to move between different disciplines is by getting your hands dirty and just having a crack. So, I think it's important particularly and in this day and age for people to be open and not really put strong defined titles on themselves so that they do have a sense of freedom to kind of move around and try different roles because ultimately what is available today is probably going to look very different in 30 years time so... Yeah.
Hayley Rodd:
And do you still consider yourself a marketer or are you something, hybrid? What are you now?
Kate Brodie:
I would say that I am a technologist. I think that it requires the ability to have a bit of a marketing brain because you need to know how you're going to apply it in order to make a real impact, whether that's for customers, employees or commercially. But definitely with a strong kind of technology digital focus now, I wouldn't say that I would be purely seen as a marketer these days, but definitely it's about having that broad skill set and I think marketing's critical to being able to create great products.
Hayley Rodd:
Perfect. So, when I think of AI, I think of self-driving cars, someone who is very new to the technology industry myself. Could you unpack, I guess what AI means for Optus?
Kate Brodie:
Mm-hmm (affirmative). I think that what you've just said is shared by many. Artificial intelligence is just such a broad concept and it really is related to creating intelligent machines that can ultimately perform tasks or imitate behavior that we might consider human life. And so that can range from really narrow experiences like reading a brochure in a different language using AI to kind of rate it in the language that you can understand to kind of these macro experiences like you've just described with self-driving cars and completely changing the way that we travel. So, I think that AI is such a broad term where it will mean different things for different groups. At Optus, it's about creating lasting customer relationships with people and allowing them to connect with others. And so where we use AI in a variety of different places, it can be in our products themselves.
Kate Brodie:
So for instance, we just recently launched a really amazing product called Call Translate. And that's where in the call you can actually interact with people in different languages on that same phone call so breaking down those communication barriers that have existed before. So that's super exciting. And then there's other places where we're using it, for instance in our sales and service functions that we can more easily automate the simple tasks and give more time to our people to grow and create those types of relationships with our customers. So, we're using artificial intelligence in many different ways, but I think it's really exciting in everything that we do, it's more driven towards how can we create a better customer experience. It's not about the technology in of itself, which is what I really like about it.
Hayley Rodd:
Yeah. Nice. And it sounds like that that call translation would just... Could have so many applications and have... I'm even just thinking about in this COVID circumstance we... You're trying to get a message across to people to stay home and all those sorts of things like... Wow. Okay.
Kate Brodie:
Yeah. And there are some beautiful stories of people who are not able to go home with their young kids, travel home to their countries where their families are. And so they can have the grandkids talking to the grandparents more easily as they are learning different languages. So, it's really cool.
Hayley Rodd:
Wow. That's beautiful. So, in your title, there is, I, maybe assume it's an abbreviation, but it's somebody that says CCAI. Could you tell me what that is?
Kate Brodie:
CCAI stands for Contact Center Artificial Intelligence and it's actually a program of work that is used increasingly by different industries and refers to a particular product that Google is working with companies on. And so it's about re-imagining your contact center. So traditionally today banks, telecommunications companies, big organizations with lots of customers have a lot of customers that contact us regularly. And so this is a way of actually, how do we use AI to increasingly get to a point where you don't need to reach out to us but instead we're reaching out to you to better optimize your experiences with us. So, that's a little bit more of a program piece that's attached to my title at the moment.
Hayley Rodd:
Wonderful. So, prior to your current role, we're just going to get into the Agile space, which I know you seem extremely excited about at Optus and it's had some, I guess will be changes in the... Or it has some... Helped some massive changes at Optus. Before your current role what was your experience with that job?
Kate Brodie:
My current role and my experience with Agile has evolved. So, a couple of years ago, we rolled out Agile at a very large scale across our enterprise. So previously we had been using Agile in our IT teams for software development, but we actually started to roll out agile for product development. And I originally started as a product owner. So I was given a goal around creating a chatbot from scratch that would be supporting our teams. And with that, our Agile transformation involved breaking down the silos of divisions. So functional divisions. We started to merge into cross-functional squads and our squad was given the autonomy and the ownership to take on a particular initiative, and in my case, it was chatbot. And so I've actually experienced multiple roles within Agile including as a product owner and as a chapter lead, which was where I looked after a particular craft of people who run across multiple squads in Agile.
Kate Brodie:
And now more recently, I've got squads that are working within my area to produce these products and these outcomes for us. My experience with Agile has been brilliant. The amount of impact that it's had on our company is incredible. So, over the last couple of years, and this is pre COVID, we had a big target around moving towards a really digital led experience. And so we've seen our customers who used to choose digital around six...
Kate Brodie:
Around 65% of our customers would choose digital a couple of years ago and now it's more like 85%. So these big swings have come as a result of, I think, breaking down those silos and working in a more Agile way. Just on that I think what I like about Agile is that it's not about showcases and stand ups, it's actually about the culture that Agile allows for. So I think it allows for a lot more ideas and innovation because you have this mix of people who didn't traditionally sit with one another being together. And then also you can just deliver faster because you can cut through a lot of noise by working together. And the last piece I think is definitely that ownership and accountability for driving an outcome as opposed to delivering a piece of the puzzle, I think, yeah, Agile's been massive for us.
Hayley Rodd:
So, and you said that it was a big roll out across the organization. So does that mean that everyone within Optus works within an Agile framework or is there still sections that I guess don't employ Agile.
Kate Brodie:
There are areas of the business that aren't completely agile at this point in time. And I think they are areas of the business that makes sense. So sometimes in research and the like, you need to have a bit more freedom to sit back and ideate, although they would adopt principles of Agile so that they time box ideas and the like. From a delivery perspective, most of the organization has transformed into Agile delivery.
Hayley Rodd:
Wow. So it sounds like your customers would be seeing a lot of value from the organization transforming to Agile. You said before that there was a lot of people in your life who allowed you to do things you felt confident in your ability because I guess they helped you get there. So, has there been a mentor that I guess you look back on in your career or even now that has had an impact on where you are?
Kate Brodie:
I think that I've had a lot of different people who have been my mentor at different stages and who I would call upon now. So, I like to probably not have one mentor, but sort of look at the variety of people and their different skills and take a little bit of this, take a little bit of that, learn from this person on a particular area. There have definitely been some people who stand out. And so, early on one of the things that was really useful for me was being supported by a particular general manager who basically sort of pushed me into digital and technology and sort of, I was just very fortunate that he believed in me and said, "Now, you can run this area." I had never really been exposed to it. This is 10 years ago when digital was still sort of seen as more of a complimentary area as opposed to core, to a business.
Kate Brodie:
And by him supporting me in having a go at everything that's been... That's actually one of the most pivotal moments I would say in my career very early on that that's really led the way for me to increasingly get into the area that I'm in today. And along the way, obviously, there's been many people who have made a huge contribution to where I'm at and they're both in my career, but also outside. So, people that you play sport with people that you just have, that you share different stories with, I think that often you take a little bit from everyone and hopefully you give back something to those people too.
Hayley Rodd:
Yeah, I'm sure you do. So, is there any... Looking back on all those people that you've had throughout your life who have helped you get to where you are, is there a piece of advice that might have stuck with you that you could share with us?
Kate Brodie:
There's lots of different advice. I think one of them is, no risk no return. I really do think that you have to have a crack, you have to put yourself out there. The things that always been the most satisfying experiences have been by having a go at something that I hadn't done before. So I think no risk no return is something that I definitely subscribe to. And then in terms of some practical advice, particularly as a female, I think in your career, something called the assumptive close, which is a sales technique, around almost not asking if someone would like something but sort of implying that they would. I actually would say that I use that technique not to necessarily directly sell to someone, but in everything that I do and I would really encourage most people to use it. It was some early feedback in my career and it's been quite useful along the way.
Hayley Rodd:
Yeah. [inaudible 00:18:51] after working in real estate for a little while, I think a lot of real estate agents also assume the sale. So, and it just it... I think it can help with the confidence and going in there and I guess almost putting yourself in a position of power in the conversation when you assume you've got this in the bag. So yeah, it probably comes naturally to some people more than others, myself included, but I would struggle with that, but that's a really good piece of advice. So yeah, I'm sure that it will be helpful for a lot of people who are listening to the podcast now. So what about... What's your proudest moment as a leader there at Optus so far? I know that you're in Vogue recently. That's an amazing moment. And as a person who's known you for a really long time, that was a proud moment for me to see someone that I'd known do that, but for you, what's the proud moment?
Kate Brodie:
[inaudible 00:19:58] I think probably my proudest moment is when I've launched something large. So recently we launched a large piece of technology that will change the experience for our customers, but it wasn't as much the launch as it was looking around me and seeing the people that are there with me doing it. And there are quite a few amazing people that I get to work with. And having sort of started with a few of them in the early days, a few years ago, where we were sort of spitballing ideas and we had no products to now having large products that make a real impact to Australian consumers and to our business. It's those moments where it's actually the team around you that it... I'm most proud of. It's just the high engagement and the drive and the culture that we've created where people want to work in this area and we all enjoy creating these experiences together. So I think definitely I'm most proud of the team culture and environment that we've set.
Hayley Rodd:
Yeah. Sounds amazing. We're lucky enough here at Easy Agile to have, I guess the same... A culture that you can be proud of as well, so, I can understand how it can be something that makes a huge impact every day. So, we're getting close to the end of our time together, but again, I guess I wanted to touch on a bit of gender diversity. So how does gender diversity benefit technology companies? What do you think?
Kate Brodie:
I think diversity in general is going to benefit any business and particularly technology businesses, because it's imperative that you have a representation of the population and the people that will use your technology and the experiences that you're trying to create. So I think that it's only by ensuring that we are tapping into the entire talent pool, that we can represent people and represent customers, but also we're going to get the best ideas. And so that's gender diversity but also culturally and in every sort of facet, the more that we can tap into the entire talent pool, the more we'll create better experiences, better technology, solve more of the world's problems and capture more opportunities.
Hayley Rodd:
Mm. Fantastic. And last question, what advice would you give a young woman hoping to enter the technology industry or a technology company?
Kate Brodie:
I would say go for it. I would say don't ever put limits on yourself and speak up, learn as much as you can and get your hands dirty because it's through that kind of confidence... Oh, sorry. It's through working with lots of different people and creating things with people from scratch that you'll gain your confidence as well. And always ask, don't sit there waiting for someone to sort of tap you on the shoulder, ask for that new opportunity, ask for the salary increase, ask, it won't hurt. I promise.
Hayley Rodd:
That's a good advice. What's the worst they could say?
Kate Brodie:
No, exactly.
Hayley Rodd:
No, yeah.
Kate Brodie:
Yeah. And that's why.
Hayley Rodd:Or they might say yes. And then that's awesome too. Okay. Well, thank you so much, Kate, for your time. That was really wonderful. It was wonderful to catch up, but it was also wonderful to hear from someone who's so young in their career, has... But has also done so much and who has reached some amazing goals, has a team behind them. And I think that there's so many people who will watch this, myself included, who will learn a lot from you. So I really appreciate your time. Thank you.



