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Easy Agile Podcast Ep.34 Henrik Kniberg on Team Productivity, Code Quality, and the Future of Software Engineering

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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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    • Alana's mental health journey over the course of six years, and that journey continues today. What she's learned and what we can learn from her experience to better look after our teams and people in our community.
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    I hope you enjoyed today's episode as much as I did.

    Transcript

    Sean Blake:

    Hello, welcome to the Easy Agile Podcast. My name's Sean Blake and I'll be your host today. Today, we have a really interesting guest and a fantastic episode ahead for you. Our guest today is Alana Mai Mitchell. Alana is a results coach, author, podcast host, and Senior Product Development Manager at one of Australia's largest banks where she works with Agile teams every day. She has over 13 years experience in digital financial services and coaching. She's spoken live on Channel 10 here in the Australian media and has had her mental health story featured in publications, like The Daily Mail and Mamma Mia. She's the author of a book, Being Brave, and she's the host of the Eastern Influenced Corporate Leader Podcast.

    Sean Blake:

    We covered a lot of ground in today's episode. We talked about communication styles. We talked about the importance of putting your hand up and telling your manager when you want to be challenged more and to be exposed to new opportunities. We talked about the importance of building trust with your team and disclosing some vulnerabilities about yourself. We covered Alana's mental health journey over the course of six years, and that journey continues today. What she's learned and what we can learn from her experience to better look after our teams and people in our community. We talked about going first in servant leadership and being a generous leader. The importance of authenticity and direct communication. I hope you enjoyed today's episode as much as I did. Let's get started. Alana, thanks so much for joining us on the Easy Agile Podcast today. It's great to have you here.

    Alana Mai Mitchell:

    Thanks so much, Sean.

    Sean Blake:

    Before we jump into our conversation, Alana, I'm just going to do an acknowledgement to country. We'd like to acknowledge the traditional custodians of the land from which we're recording today, the Watiwati people of the Tharawal speaking nation, and pay our respects to elders past, present and emerging. We extend that same respect to all Aboriginal and Torres Strait Island peoples who are tuning in today.

    Sean Blake:

    Well, Alana, there's so much to talk about today. The background is, we used to be colleagues in the financial services industry. We bumped into each other again out of the blue at Agile Australia '21 Conference, just at the end of last year, which was a great conference. We thought we'd have you on the podcast because you've got so many different stories to tell, but I thought maybe we could start this episode by talking about your career journey and how working with Agile Teams has weaved into your career trajectory.

    Alana Mai Mitchell:

    Yeah, sure. Agile really came into the forefront right back in 2013. I always remember my first Agile training. We had a team day, where I was working at the time. We had an external facilitator come in because the Agile framework was something totally new to financial services at that time. We played Lego. We had each of our wider team was divided into smaller teams, like scrum teams, all this new terminology. Then we were building island and we had an island each and the product owner was feeding user stories in from the customer. Partway through we were building, I think, a rocket launcher and then no, we didn't want to rocket launcher anymore.

    Alana Mai Mitchell:

    We wanted to tweak it. We had to adapt to things on the fly. I always remember that experience because it was so transformative, just having such a direct and collaborative way of working with people on a project. To this day, of all the Agile trainings and experiences that I've gone through, it's always the ones that are really interactive that I've remembered the most and gained the most and taught them, like learnt them myself as a participant and then taught them to other people as well.

    Sean Blake:

    Along the way, do you think, you've been through all these training sessions and you've been working with teams on the ground. What have you found from Agile, which is a big topic, but what have you found to be the most transformative and the most helpful from the way that these teams used to do things to the way that they do them now?

    Alana Mai Mitchell:

    I would say communication. What I found was, because I had the contrast with both, I've worked in Water Force style projects and Agile projects as well. I think the biggest part is the amount of effort and rigor that we would go through reviewing requirements and have those be delivered into technology. Then it go quiet and you not hear from technology until they come back with something and they're like, "I've got a baby." You're like, "What kind?" The difference with Agile is that you are able to co-create them.

    Alana Mai Mitchell:

    You're creating with your customer or your end user, if you're working with an internal user, and then you are also working with technology and finding out what kind of constraints technology has or what kind of ideas they have as well. You have that ability to communicate with the dev. Sometimes your devs are on-shore, often cases they're offshore. We're all remote now, so it doesn't make as much difference as it did when we were in the office. You can really just pull away a lot of the process that gets in between people and have conversations. That's what I really think is the most transformative part.

    Sean Blake:

    Great. Yeah, so that communication. Do you feel like the communication throughout COVID and working remotely has been more challenging? Are you one of those people that find those face-to-face communication skills, you really prefer the face-to-face or has remote been okay for you? Because I know some people have struggled. Some people have found it easier to be on Zoom all the time.

    Alana Mai Mitchell:

    Well, I mean, when I go in the office and we have that brief time where we were back in the office, I had a smile on my face the whole time. Because I just love seeing people and I'd go around and walk over to my team and say, "Hey, how are you going?" Just catch up with them. I think the one piece that's missing for me in the remote working whilst there's greater flexibility, you can do multiple things at the same time. You focus a lot of your work. You can get a lot more done quicker. I do find that informal relationship building, you need to actually schedule in time or pick up the phone out of the blue and connect with someone.

    Alana Mai Mitchell:

    Whereas in the office, I would just find that because people were there and I don't know, you might be having lunch at the same time or going downstairs for something at the same time or even the corridor conversations that happen after the meeting where you can just chase someone or ask someone a question or they chase you and you just get things done. It's just different. I'd say it's more, the catch ups are more scheduled and formal, I find in a remote work setting.

    Sean Blake:

    I feel the same way. I feel the small talk and the talk about the weekend on Zoom is much harder for me and much more tiring to try and sustain that than in person. It becomes more naturally. I really have to make a big effort, especially on one-to-ones with people in the team when I'm trying to check in on their health and wellbeing and how they're going at work. I just find that much more exhausting than what I do in person. I think it's just those nonverbal communication skills and you can see people's body language easier when you're in the office.

    Sean Blake:

    Someone's slumped at their chair for six hours out of a seven-hour work day. Then you're like, "Oh, something's wrong." If you know that you've got to get on Zoom and try and pretend to be happy and that everything's okay, then you can fake it a little bit easier. Of course, there's loads of benefits to remote work, as you say. That human element personally, I find it's much more challenging to replicate using digital tools. Maybe there'll be more innovation that comes, but the time will tell on that.

    Alana Mai Mitchell:

    Yeah. On that, I wanted to add some of my friends in the technology space. Talking about the metaverse and how at the moment you and I are having this conversation through screens. I'm in my space, in my house, and you can see my painting in the background and I can see that you've got a podcast set up. One of my friends was talking about how, he's an architect, and so he was thinking about how we create digital spaces. When we meet digitally, if we were meeting as our avatar, what kind of space would facilitate better conversation? That blew my mind when he was talking about that. I was like, "Oh, I hadn't even thought of that." Absolutely, you could meet in a virtual space because we're doing what we've got with the tools that we have today, but the tools can change.

    Sean Blake:

    I guess it's almost certain they will change. I can't see that Zoom will be the market leader forever. I'm sure there'll be things that come along very soon that will try and replicate some of those physical experiences that we miss so much of being in the office and having those social experiences together. Alana, I'm wondering about the teams that you work with now or in the past, those Agile teams, do you have any tips for people who are new to Agile teams or maybe they're coming in?

    Sean Blake:

    They want to improve their communication, whether they're remote or in office, and improve their organization's Agile maturity, but they're just finding it a bit of a struggle. Do you have any tips for people who are just, they're butting their heads up against the wall and they can't seem to make progress with some of those patterns and habits that you talked about, like taking requirements away and not knowing what's happening for so many months or years before you hear something back from technology? How do you actually start to influence that culture and behavior, if you're new to Agile?

    Alana Mai Mitchell:

    I'm going to take a slightly different approach on that to answer your question. Because the thing that came to mind for me was when I in Outward Bound, which is a remote wilderness organization in 2012 in the US. I was instructing there. One of the frameworks that they use is William Glass' Choice Theory. Choice Theory talks about that we have five needs, and I'll put myself on the spot. Well, I'll mention some of them, because I can't remember all of them. There's like need for fun. Some people have a high fun need. Then there's like need for power, like feeling powerful. There's like, love and belonging, is another important need. There's two others, which I can't recall right now. I think when you are coming out of a situation, from a perspective, you've tried a couple of times when you're approaching it, and not getting anywhere, I would have a look at what needs am I, myself looking to get met out of this communication.

    Alana Mai Mitchell:

    Then on the flip-side, what needs is my communication partner or the team that I'm working with? What is the most important need for them? As we were talking about remote working, like the fun need. People love to have fun and you can actually have fun at work. It doesn't need to be separate. Thinking about like, if you have a high fun need, and you also notice your team has that as well. How can you address that in your communication style or bring out some kind of activities that can bring that to life? I would always go back to what are my needs and what are the needs of other people that I'm working with? Because when you're working with different teams, they have different agendas, they have different goals. If you can figure out what you have in common, it's a lot easier to bring another team or people in those team on the journey, once you figured out what the common ground is.

    Sean Blake:

    That's great advice. Think about it from their point of view, rather than just what you need and your own agenda and try and adapt to your approach to them. That's really good. I saw this quote recently, Alana, which reminded me a little bit about your mental health journey, which we'll talk about more in a moment. The quote was about, when you're looking for a new role or a new job, you shouldn't just look for a great company to work for. You should look for a great manager to work for, because the influence and your experience as an employee, working for a manager, is often so much more important than and influential than just picking a great or a well-known company to work for. Have you found that to be true in your own career?

    Alana Mai Mitchell:

    Oh, yeah. I have found that some really phenomenal leaders. In a previous organization that I was working in, I like to keep learning and growing all the time. In previous roles, sometimes I get bored. It happens. That's really valuable to organizations because I'm constantly looking at where to improve things. I had a time where my manager was focused on other things and learning and development wasn't as important. Then I had a lady named Christina come in and Christina was like fire. She was just, "This is what we got to do." Open to change, really clear communicator, she's from the US. She's really direct in a compassionate way and she's really progressive as well. I found because of her influence in the organization.

    Alana Mai Mitchell:

    Also, through my willingness to put my hand up and say, "I'm willing to participate." Which is, for the people who are tuning in, it's not just about the leader creating the opportunities for you and saying, "Hey, present to this general manager forum or executive general manager forum." Or whatever it is. It's also about you saying, "Hey, I'm willing and I'd love to." And communicating what you are after. We met on that path and I had some of the most, stronger success working with Christina. I was fortunate at that the culture was also really great. The immediate team culture needed to shift as well, which is part of why Christina came on board, and the company culture is really good.

    Alana Mai Mitchell:

    I would say on the point on like manager over culture is that when you are someone who is progressive and you're wanting to shape the culture for the better, you're going to find cultures that need a little attention or need a little work or things that aren't quite as performing as well as they are. With the sales perspective, opportunity plus. If you go to a culture and everything's amazing, you're sure you can make it a little bit more amazing. Really, when you have the support of your manager, who's, you see these initiatives and they're going to say, "Okay, go for it. I've got this GM forum coming up that you can present at, or let's find your sponsor. Let's find your mentor." That the two of you working as a team can be at the forefront of the new culture, which impacts the rest of the culture.

    Sean Blake:

    Interesting. I don't know if I've ever been in a culture that's perfect and overachieving and too good, but absolutely you can get too comfortable and complacent in roles and you can almost just be a little bit shy from putting your hand up for those opportunities. Do you think there's many cultures out there that are too good? How do you assess the quality of a culture before you accept the role and start working in that team?

    Alana Mai Mitchell:

    Oh, good question. I always asked, what's the vision and how does it relate to this role? I want to hear it from the hiring manager before I join a company. What I'm looking for is I'm asking that question to multiple people. I'm looking for a congruence, about the hiring manager sees a similar story as to what their peer, who's maybe interviewing in the second interview or their leader in the third interview. I'm looking for those things to match up, because that's telling me there's consistency. It's just, I'm getting the same story. That they're also communicating well. That would be a sign to me. Yeah, that's about what I do.

    Sean Blake:

    That's good. Good tip. Alana, you have a quote on your website, which talks about your mental health journey. It says, "I have totally recovered from five mental health breakdowns across six years, where doctors once talk would me, I would be homeless." That sounds like a lot of hardship and a lot of sweat and tears and pain over many years. Do you want to walk us through a little bit of that journey and what you've learned about yourself through those experiences?

    Alana Mai Mitchell:

    Oh, yeah. Thanks for pulling that out from the site, Sean. In 2013, I started to notice that things weren't right. I wasn't feeling myself. I sought help from a counselor, career counselor. Because I thought, "Is it my career?" I said, "Am I not in the right job?" I spoke to a psychiatrist and a psychologist and they did a little bit of an investigation, but no one really got to what was going on. Then I made some quick decisions in my career, which I look back on and I think, "Wow, I really was in the throes of it and not thinking clearly at all when I made those choices." I found myself, about November 2014, in between roles. As someone who was previously really ambitious, like high-achiever, chronic high-achiever without having a role and a career prospect at the moment back then was a big deal.

    Alana Mai Mitchell:

    I had what was called a psychotic episode. Essentially, that was like me, believing deluded thoughts and not having a really strong grip on reality, having some story going on in my head that wasn't true at all. It ended up because I was taken by ambulance to hospital. Then still at that point, people didn't really know what was going on. I was a in mental health ward and came out from that, started on medication, which improved things. I thought, and this is part of why I had the multiple psychotic episodes, is that I thought that the stress of being in between jobs or stressful situations at work, I thought they were the triggers for the psychotic episodes.

    Alana Mai Mitchell:

    I would take the medication for a while, get better temporarily, think everything was normal, stop the medication. Then six months later I would have another breakdown. Then that happened over six years and I realized towards the fifth and final, so that was when I was running a coaching business that had a few clients at the start and then we didn't have any clients at all. I essentially ran out of money and got into debt. Then when the doctor learned about my financial situation, he said, "You're going to be homeless." I was so offended. I was like, "How dare you." I was like, "No, I will not. I will not." I look back now and I'm so thankful for him sharing that with me, because he provided me with a choice. Something to push against and choose another way. He activated my will, from me going from being offended to being thankful, where I'm at today.

    Alana Mai Mitchell:

    I charted my way out of that. Now, I have well-managed schizophrenia and I take medication. I'll be taking medication for the rest of my life. It's part of who I am. I don't experience like, some people have a lot of appreciation for, because I know that they're in their mental health journey. It's not all smooth sailing, even after they have an answer of a diagnosis. It still can be challenging in there's up days and down days. For me, I'm consistent. It's been now coming up to four years since the doctor and I had that conversation in the hospital. Life is just incredible since then.

    Sean Blake:

    That's great. I'm so happy to hear that. Thank you for sharing your story with our audience. I think it's really important, isn't it? To be vulnerable and to share the truth about things that have happened in the past. Do you think that there's something that we can learn? With the people that you work with now, do you have a clearer understanding or are you looking for signs of people in your life who might be struggling with some of the similar issues and what can we do as people in our own communities and working with teams to look out for each other and to better support each other with some of these mental health issues front of mind so that we can be more supportive?

    Alana Mai Mitchell:

    I always listen for and check in with how the team is doing and it's not just, you ask how are you, and you're listening for more than what they say. If they say they're good, how are they saying it? We had that conversation before about the remote working and it's different. To come to the, are you okay, and we have the, are you okay days. Someone asked me in the office where we were actually working together. They're like, "Are you okay, Alana?" I couldn't answer her. It's not always as simple as getting a no, sometimes it's, you don't get a response. Then the alarm does go off. I really think taking in all the points of interaction that you have with someone and aligning to, is that consistent with how do they were, is there something different, check in with them, how is it going? If you're having a conversation, great. If they're sharing with you, even better.

    Alana Mai Mitchell:

    If they're not, you can always just check in with yourself and being like, "Is it something you need?" As to, why are they not sharing or is that something that's going on with them as well? The other piece I wanted to tie it, bring it back to the Agile leadership piece and from the conference that Agile Australia that we were at. I really see that building trust with teams is so key. We're in this remote working environment or hybrid working environment, depending on what office you're in. It really is important to build trust with your team. One of the quickest ways you can do that is by sharing vulnerably with what you have to share. I don't mean going for exposure and putting yourself in vulnerable situations where you are uncomfortable with what you share.

    Alana Mai Mitchell:

    It's disclosure, so it's something that you're 100% comfortable within yourself, and you've accepted it within yourself and you share that with your team in openness. When you do that, you see that your team also, they hear it and they mirror it as well. You go first and they share. The mental health example, I shared that on LinkedIn. I've shared it in situations with my team. Then I've been invited to talks and I've had people approach me. It really builds without having to go through a lot of, I ask this thing of this person, do they deliver it above and beyond expectations when I ask for it? How many times do you need to go through that process before you trust someone versus you, coming out and creating an environment of trust through of vulnerability? I do caveat that it's like not oversharing, it's sharing what you're comfortable with at that point in time, and that might change as you go on.

    Sean Blake:

    Interesting. Does this apply to leaders as well? I know that you've spoken about being a generous leader in the past, and that reminds me of servant leadership, which is another kind of Agile phrase that you hear come up quite a lot. This idea of going first, disclosing what you're comfortable with to your team, even as a leader, showing vulnerability is really important. I know in my experience, if you can share some of the honest and harsh realities of what it's like to be in your position, then your team are more empathetic with the challenges that you have.


    Sean Blake:

    Because a lot of people assume that when you are in a position of leadership and responsibility, then things are easier because you can just delegate or you've got budget to solve some of these problems, but it's not actually the reality of it. The reality of it is you struggle with things just like anyone else. By sharing and disclosing things with people at all levels of the organization, then that helps to build empathy and a bit more care and support no matter what level you're at. Are there other things or habits or qualities of a generous leader or a servant leader that you've seen or that you try and model or encourage?

    Alana Mai Mitchell:

    The big one that stands out for me is authenticity. Really knowing yourself, knowing what your leadership style is, knowing what your challenges are, what your strengths are, what you're working on and being authentic about that. When you feel something, sharing what you feel, not having to feel like you need to say it a different way or sugarcoat it, being able to speak your mind in a way that's direct and compassionate. We're not going for like arrogance, and we're not going for wishy washy. We're going for direct and compassionate, then share what's in your heart, so authenticity. Those are the leaders that you, I'm so glad you brought up empathy because when you're vulnerable, empathetic, and authentic, those are the leaders that really stand out for you and me.

    Sean Blake:

    That's great advice. Authenticity, direct communication, build empathy. All right, thanks for sharing that.

    Alana Mai Mitchell:

    You're welcome.

    Sean Blake:

    Alana, how did you decide that you wanted to write a book about some of your experiences and can you tell us about how your book, Being Brave, has changed your life and how you think about sharing your story?

    Alana Mai Mitchell:

    I naturally have a lot of things going on. I love projects. I love it, that's why I'm in projects. Because I love setting a goal and reaching it. The company I was working at had done a number of workshops and I got to a point where I didn't have as many activities going on. I was like, "Oh, that's really interesting. I don't have as much stuff going on." This was just at the start of the pandemic in 2020. A friend, a really dear friend of mine said, "Try meditation. Try meditation daily." I meditated each day and I had been surrounded, my network is very much of a coaching network. I know a lot of coaches and they had written their own books as well. I was on the radar and I was meditating and I got the idea to write a personal memoir about my story.

    Alana Mai Mitchell:

    It's really interesting that even in through that process of doing a lot of personal development work and going through the process of writing the story, there were still some things in that, that I wasn't quite comfortable owning yet. It's been, since I wrote the book that I've accepted that. In a book, if people read it, I talk about psychotic episodes. I don't talk about schizophrenia because it was all later when I was asked to do a media thing about schizophrenia, that I was like, "Okay, yep. Time to own that." I feel like the book at a point in time had me accept all that had happened with unconditional love and then to still, modeling that piece of going for disclosure and not exposure. Still, I had my fragility on what I wasn't ready to disclose yet. Since then, that had progressed further.

    Sean Blake:

    That's awesome. That therapy you're sitting down to write the story actually helped flesh out the story itself and you came to terms with some of those things that happened. What has been the reception to the book?

    Alana Mai Mitchell:

    Most people, when they pick up the book, it's a short book, so some people even call it a booklet, because it's 11,000 words. It's short. They say, "Wow, I read that in an hour and a half, in one sitting. I couldn't put it down." someone had said, "It's the story of the famous rising from the ashes." They can take a lot of inspiration from it. The point of the book and a lot of what we're talking about vulnerability is going first as the leader. You set an example that others can follow in, so that will flow into their lives as well. The book is set out with a story and a few questions at the end that people can go through for their own insight.

    Sean Blake:

    Great, awesome. Alana, is there anything else you'd like to share with our audience before we start wrapping up the episode today?

    Alana Mai Mitchell:

    I did, because I know this is about Agile more so, and that's a really important topic to your audience. I did write and have a think about after that conference we went to, Agile Australia, about what is beyond the Spotify model? Because the Spotify model is very, word is spoken about it at the moment with the crews and the tribes and squads of course, and the chapter lead models and all that they have, which I'm sure everyone tuned in would be really familiar with. I started to think about, what are the things that are relevant beyond the Spotify model? What's next? If your organization is at a point where you've already at your job at some of that, and you're looking for what's next. I did write an article about that. It's on LinkedIn, and I'll give it to you. If you want to, you can put it in the show notes.

    Sean Blake:

    That's awesome. We will definitely do that. Where can people go to find out more about you? Where can they buy your book or visit your website?

    Alana Mai Mitchell:

    My site is www.alanamaimitchell.com. On there is more about my story. There's a few things about coaching, which may be relevant. I'm not coaching at the moment, I'm more focused on my career in financial services. Then the book is on Amazon and it's in English and also in Spanish. There's the audio book and also the print book and the eBook.


    Sean Blake:

    Awesome. Well, Alana, thanks for disclosing what you've disclosed today and sharing your story with us. I've learned a lot about your experiences, and I've got a lot to think about, to reflect on, how to be a more generous leader. Thanks for spending time with us and being part of the Easy Agile Podcast.

    Alana Mai Mitchell:

    You're so welcome. Thanks for having me on the show, Sean.

    Sean Blake:

    Thanks, Alana.

  • Podcast

    Easy Agile Podcast Ep.8 Gerald Cadden Strategic Advisor & SAFe Program Consultant at Scaled Agile Inc.

    Sean Blake

    Gerald shared that companies often face the same challenges over & over again when it comes to implementing agile, but the real challenge and most crucial is overcoming a fixed mindset.

    "Gerald helps massive companies work better together while keeping teams focused on people and on the customer. I'll be revisiting this episode."

    Gerald also highlights the difference between consultants & coaches, and the value of having good mentors + more

    I loved this episode and know you will too!

    Be sure to subscribe, enjoy the episode 🎧

    Transcript

    Sean Blake:

    Hello, and welcome to this episode of the Easy Agile Podcast. Sean Blake here with you today. And we've got a great guest for you it's Gerald Cadden a Strategic Advisor and SAFe Program Consultant Trainer at Scaled Agile, Inc. Gerald is an experienced business, an IT professional, Strategic Advisor and Scaled Agile Program Consultant Trainer SPCT at Scaled Agile. Thanks, Gerald. Welcome to the Easy Agile Podcast. It's really great to have you on as a guest today, and thank you for spending a bit of time with us and sharing your expertise with our audience on the Easy Agile Podcast.

    Sean Blake:

    So I'm really interested and I'm interested in this story that... For all the guests that we have at the podcast, but can you tell me a little bit about your career today? I find that people find their way to these Agile roles or the Agile industry through so many diverse types of jobs in the past. Some people used to be plumbers or tradies, or they worked in finance or in banking. How did you find your way into working at somewhere like Scaled Agile?

    Gerald Cadden:

    Good morning, Sean. Thanks for having me here guys. I'm very happy to be here with you guys today. Career things are always an interesting question. I'm 53 and so when I look back I wonder how do I get to where I am? And you can often look at just a series of fortunate events. And I worked in retail shoe stores and then I decided to do something in my life. Did an IT diploma then did a degree and I started working in the IT side. I pretty much started as a developer because that was where the money was and so that's where you wanted to go. I didn't stay as a developer long. Okay. All right. I was a terrible developer so I wasn't good at it. It was frustrating.

    Gerald Cadden:

    I moved into some pre-sales work and that led me to doing business analysis and I really liked the BA work because I got to work with people and see changes. I could work with the developers, still got to work really directly with the customer which was much more interesting for me. So I spent a lot of time in BA doing the development work, doing business process reengineering my transitioned over to rational unified process. When it was around spent countless hours writing use cases doing your mail diagrams, convincing people on how to make the changes on those. And then Agile came along and I had to make a complete brain switch. So all of this stuff that I'd learned and depended on as a BA suddenly disappeared because Agile didn't require that as an upfront way of working. It required that to be in the background if you wanted it and it was more a collaboration.

    Gerald Cadden:

    So about 2004, 2005 started working with Agile a lot more by this time I was living in the U.S. So that's where I got my agile experience, stayed there for a long time. Got great experience and then I moved over to working with SAFe around 2011. The catalyst for that as I was working for the large financial firm in New York with a team there. And we were redesigning a large methodology for them to implement Agile at scale. Went to a seminar in 2011 at an Agile conference saw Dean Leffingwell presentation on SAFe and just looked up and went, "Well we can stop working on our methodology. It's done."

    Gerald Cadden:

    So hardly after that meeting I ran outside and tackled Dean Leffingwell because I wanted him to look at my diagrams and everything and give me some affirmation that I was doing the right thing. Dean is got a very frank face and he pulled his frank face and he looked at me and just said, "You know what? Just use SAFe?" And I'm like, "Yeah, we will." And so I started my SAFe journey around that time and we implemented that financial company and I've been on that journey ever since.

    Sean Blake:

    So take us back 10 years ago to 2011. And you're working at this financial company, you've heard of this concept of SAFe really for the first time you started to implement it. How did the people at that company respond to you bringing in this new way of thinking this new framework? It sounded you already had the diagrams on the frameworks and the concepts forming in your mind did you find that an easy process? I think I already know the answer, but how complex was that to try and introduce SAFe for the first time into an organization of that magnitude?

    Gerald Cadden:

    Yeah, this is a very large financial firm, a very old financial firm so very traditional ways of working. So what's interesting is the same challenges SAFe comes up against today they're present before SAFe even began. And so the same challenges of the past management approaches trying to move to faster ways of working was still there. So as we were furiously drawing diagrams in Visio, trying to create models for people to understand it was hard to create a continuum of knowledge and education that would get people to move from the mindset they had to the mindset we wanted them to have. And it was an evolving journey for myself and the team that I was working with. I work with a really great guy and his name is Algona, a very, very smart man.

    Gerald Cadden:

    And so the two of us we're always scratching our heads as to how to get the management to change their minds. And we focused on education, but it was still a big challenge. I finished on the project as they started with SAFe. I moved to different management role in the company that we continued the work there. Michael Stump he used to work for Scaled Agile I think he works now at a different company, but he continued a lot of that work and did a really good job and they did implement SAFe. They made changes, but they faced all the same challenges. The management mindset overcoming moving away from the silos to a more network structured organization. Just the tooling, just the simple things was still a challenge and there's still a challenge today. So the nature of the organization is still evolving even in the modern day Agile world.

    Sean Blake:

    You mentioned there that part of the challenge is around mindset and education. Have you found any shortcuts into how you change a team's mindset? The way they approach their work, the way that they approach working with other teams in that organization? I assume the factor of success has a lot to do with, has the team changed their mindset on the way they were working before and now committed to this new way of working? And can you talk to us a little bit about how do you go about changing a team's mindset?

    Gerald Cadden:

    Maybe I'll change the direction of your question here, because what I've found is usually you don't have to work too hard to change the mindset of a team. Most of the teams are really eager to try new things and be innovative. You only come across some people in teams who may be their career path has got them to a certain point where they're happy with the way the world is and they don't want to change. The mindset you really need to change is around that leadership space and that's still true today. So the teams will readily adapt if management can create the environment that allows them to do it and if they can be empowered. But it's really... If you want to enable the team it's getting the leadership around them to change their mindset, to change the structures that are constraining the teams from doing the best job they can.

    Gerald Cadden:

    And so that for me was the big discovery as you went along and it's still true today. As Agile has been evolving I've noticed that people don't always put leadership at the top of the list of challenges but for me it's always been at that top of the list. A lot of people want to look at leadership and say things about them unflattering things, but you have to remember these are human beings. And the best way to come to leadership is to really begin with a conversation, help them understand. They know the challenges, but we need to help them understand what's causing the issues that are creating those challenges.

    Gerald Cadden:

    As you work with them and educate them you can to open their minds up a little more. Does that mean they'll actually change? Not necessarily. Political motivations, ideologies other things constrained leadership from moving. But conversations and education I think are the way to really approach leadership. And getting to know them as a person, take an interest in their challenges, take an interest in them as an individual. So create that social bond is an important thing. As a consultant that was always hard to do because as a consultant you're always seen as an external force and it's hard to build that somewhat social relationship with that leadership and build that trust.

    Sean Blake:

    Yeah, that's so true. Isn't it. I remember on an Agile transformation that I was on previously, how Agile coach really would spend just as much time with the leadership team as they would with us the Agile team. And it seems strange that the coach was spending so much time trying to really coach the leadership team on how they should think about this new way of working, but you put it in the right context there it's so important that they create that environment for their people and for their teams to feel safe in trying something new. Yeah, that's really important.

    Gerald Cadden:

    I think if you looked at how Agile evolves, when you look at the creation of the Agile manifesto and its principles and then the following frameworks like ScrumXP, et cetera it evolved from a team perspective. So everybody made the assumption that we needed to create these things for the teams to follow, but as people worked with teams they found that it wasn't the teams at all the teams adapt, but the management and the structures of the organizations are not adapting. And so that's really where it went.

    Gerald Cadden:

    I can't recall the number of countless Scrum implementations you worked on and you just hit that ceiling of organizational challenges. And it was always very frustrating for the teams. I think there's a an opposite side to that too is that too many in the Agile world just look at the teams as the center of the world and you can't approach it from that way either the teams are very important to delivering value to the customers, but it's the organization as a whole that delivers value. And I think you really have to sit back and just say, "The teams are part of that how do we change the organization inclusive of the teams?"

    Sean Blake:

    Okay. That's really interesting. Gerald, you've spoken a bit about teams and mindset, when you go into an organization, a big auto manufacturer or a big airline or a financial services company and they're asking for your help, or they're asking for your training, how do you assess where that organization is up to? What's their level of maturity from an Agile point of view? Do you have organizations that are coming to you who have in their mind that they're ready to go SAFe and then you turn up on day one and it turns out no one has any real idea about what that type of commitment looks like?

    Gerald Cadden:

    Yeah, it's a good question. Because I think as I look back at the history of this, in 2011, 2012 when SAFe really got going, as you went forward I mean, there was no concept of where to begin. Consultants were just figuring it out for themselves and like most consulting or most methodologies they got engaged in an IT space and at the team level. And people would try to grow from the team level upwards. And at some point we need to know I've struggled a lot with this because I was just trying to figure out where it is that. So my consulting hat was always on to sit down, talk to people about their challenges, find a way to help figure out how to solve the challenges whether it was going to be Scrum or SAFe or whatever is going to be right.

    Gerald Cadden:

    Those are just tools in the toolbox. But when Scaled Agile as I was working with... Excuse me, as I was working with SAFe, Scaled Agile brought out the implementation roadmap. It produced so much more clarity that came later in my time with SAFe and I wish it had come earlier because it really began to help me clarify that initial thing that we call getting over the tipping point. How to work with the organization you're talking to, work with the right people, understand their challenges, help them understand what causes those problems, which is the more traditional ways of working the traditional management mindset, help them connect SAFe as a way to overcome those challenges and begin to show them. If you looked at the roadmap it's this contiguous step-by-step thing, but what you find in reality is there are gaps between those steps and in those gaps is the time you as a transitional team are having lots of conversation with the management.

    Gerald Cadden:

    If you put them through a training class they're not going to come out of the class going, "Oh, wow that's it. We know what to do." It takes follow-up conversation. You have to have one-on-ones one on many conversations, cover topics of gains so you can remove the assumptions or sorry the misassumptions. So it's a lot of that kind of work that the roadmap its there for those who are implementing SAFe today use it. It is one of the most helpful tools you'll have.

    Sean Blake:

    Awesome. Yeah. I think just acknowledging the difference between the tools in the toolbox and then the other fact that you're dealing with humans and you're dealing with attitudes and motivations and behaviors and habits there's two very different things there really. It sounds you need to take them all together on that journey.

    Gerald Cadden:

    Yeah. A side to that we train so many SPCs like SAFe program consultants. We train them, training them out of classes all the time with us and our partners. The thing that you can, you can teach them about the framework, but you can't necessarily teach them how to be a good consultant or a good... I want to say I use the term consultant and coach, right?

    Sean Blake:

    Yes.

    Gerald Cadden:

    Sometimes I like to say a good consultant can be a good coach, but a good coach can't necessarily be a good consultant because there's another world of knowledge you need to have like how do you sit down and talk to executives? How do you learn the patients and the kinds of questions you need to ask, how do you learn to build those relationships and understand how to work the politics? So there are things outside the knowledge of an SPC that they need to gain. So young people coming in and running to do this SPC course I want to prepare you for everything, but it gives you the foundations.

    Sean Blake:

    So when you're in a organization or you're coaching people to go back to their organization how do you teach them those coaching skills so that when they come in and they've got to learn the politics, they've got to identify the red flags, they've got to manage the dependencies, they've got to bring new teams onto the train. How do you go about equipping that more human and communications of the toolbox really?

    Gerald Cadden:

    I think you can obviously teach the fundamentals of the framework by running through the training courses. But mentoring for me is the way to go. Every time I teach a training class I make it very clear to people when they go back and they're starting a transformation don't go this alone. Find experienced people that have done this and the experience shouldn't just be with SAFe their experience should be having worked with large organizations having experience with the portfolio level if necessary. Simply because there are skills that people develop over years of their career if they don't have at the beginning.

    Gerald Cadden:

    I mean, if I look back at some of the horrific things I had said in meetings and in front of executives my boss would put his hands up in front of his face because I was young and impulsive and immature and I see that today. So when I first came to the U.S I worked with some younger BAs and they would say things in a meetings and you quickly have to dance around some things to, "We didn't really want to say that right now." So I think mentoring is the skill. We can teach you the tactical skills, but teaching you the political skills, the human skills is something that takes mentoring and time.

    Sean Blake:

    Mentoring so important in that context. Isn't it?

    Gerald Cadden:

    Yeah.

    Sean Blake:

    Okay. So let's rewind 12 months ago to March 2020, a month that's probably burned into a lot of people's mind is the month that COVID changed our lives for the foreseeable future. I know that Easy Agile had a lot of content out there, articles about how to do remote PI Planning, how to help your virtual teams work better together and we didn't know that COVID was coming we just saw this trend happening in the workforce and we had this content available.

    Sean Blake:

    And then I was checking out our website analytics and we had this huge spike in what I assume were people in these companies trying to work out for the first time, how to do PI Planning virtually, how to keep very literally their release trains on the tracks in a time where people were either leaving the state, working from home for the first time, it's really like someone dropped the bomb in the middle of these release trains and people scrambling on how we are we going to do this virtually now? Did you have a lot of questions at the time on how are we going to do this? And how have you seen companies respond to those challenges?

    Gerald Cadden:

    Yeah. I remember being in Boulder, Colorado in January of 2020 and I just come back from vacation in Australia and that's when COVID was coming around and you were hearing about things in January, 2020. I was talking with my colleagues and we were wondering how bad this is going to be within two months the world was falling apart. And for us I think a good way to tell that story is to look at what Scaled Agile did. We knew our business that it was very reliant on our partner success and it still is today. And so as we began to see the physical world of PI Planning and training, as we began to see that completely falling apart the company had to quickly adapt.

    Gerald Cadden:

    We already had a set of priorities set for the PI and we implement Scaled Agile internally in the company. At the time we're running the company as a train itself because it's 170 all people. So they had to reprioritize the different epics, we pushed a new features and it was all about what do we need to change now to keep our partners afloat by getting them online and a really good team at Scaled Agile in a really cross-company effort to get short-term online materials created to keep the partners upright so they could keep teaching. They could find ways to do this, to do PI Planning, to do they're inspecting adapts all online. And so we pushed out a lot of material just simply in the form of PowerPoint slides that they could then incorporate into tools like Mural, Al tool. SAFe collaborate we went about developing this and we've been maturing that over time.

    Gerald Cadden:

    And so now we're in a world where we have a lot more stability. We saw a big dip like everybody else, but the question is, are you going to come out of that dip? And so what we did notice within probably even the second quarter of that year where the tail end of it we saw it starting to come up again, which our partners starting to teach more online. So the numbers told us that the materials we're producing were working. So for us it was just a great affirmation that organizing yourself the way we did organize yourself, the quick way we could adapt saved us. So Scaled Agile could have gone the way of a lot of companies and not being able to survive because our partners wouldn't have survived. We had the ability to adapt. So it's a great success story from my perspective.

    Sean Blake:

    Well, that's great. We're all glad you're still around to tell the story.

    Gerald Cadden:

    Yes we are.

    Sean Blake:

    And Gerald, whether you're reflecting on companies you've worked with in the past, or maybe even that internal Scaled Agile example you just touched on. Are there specific meetings or ceremonies or checking points that are really important as part of the Agile release train process? What are the things that really for you are mandatory or the most important elements that company should really hold onto during that really set up stage of trying to move towards the Scaled Agile approach?

    Gerald Cadden:

    So I interpret your question correctly. I think for me when you're implementing the really important things to focus on as a team first of all is the PI Planning. That is the number one thing. It's the first one people want to change because it's two days long and everybody has to come and it can cost companies a quite a significant sum of money to run that every 10 to 12 weeks. And so you will run very quickly as I had in the past in the car company you run very quickly into the financial controller who wants to understand why you're spending $40,000 a quarter on a big two-day meeting. And so they lie, they start questioning every item on the bill, but that's the most significant one.

    Gerald Cadden:

    PI Planning is significant. The inspect and adapt is the other one simply because at the end if you remove that feedback cycle, what we call closing the loop if you remove that then we have no opportunities to improve. So those two events themselves create the bookends what we get started with and how we close the loop, but there are smaller events that happen in between the team events are obviously all important. But more significant for me is the constant, the event for the product management team or program management team how are you going to filter them, excuse me.

    Gerald Cadden:

    Who are going to need to get together on a regular basis to ensure that then we call this the Sync. So this is the ART Sync or the POPM Sync. You need to make sure those are happening because those are these more dynamic feedback loops and ensure the progress of good architectural requirements or good features coming through so that when you get to PI Planning the teams have significant things to work on. So if you had to give me my top three events, PI Planning, inspect and adapt, and the ART Sync and product POPM Sync.

    Sean Blake:

    Awesome. I know there's always that temptation for teams to find the shortcuts and define the workarounds where they don't have to do certain meetings or certain check-ins, but in terms of communication it must be terribly important for these teams to make sure they're still communicating and they don't use the framework as an excuse to stop meeting together and to stop collaborating.

    Gerald Cadden:

    Yeah. I mean, I went through when I started implementing at the large car company in the U.S I decided to rip the bandaid off. They had several teams working on projects and they weren't doing well, when I looked at the challenges and decided we're going to implement SAFe some of the management they were, "Are you crazy? Why would you do this?" But they trusted me. And so we did rip the bandaid off and we formed them all into a not. We launched set up. And I remember at the end of the PIs some of the management have had a lot of doubts that were coming up after they sat through the PI and they said they just couldn't believe how great that was.

    Gerald Cadden:

    Even though the first PI was a little chaotic they understood the work and the collaboration, the alignment, just the discussions that took place were far more powerful for them. And teams were happier, they were walking out to a different environment. So it changed the mood a great deal. So I think the teams their ability to be heard in one of the most significant places is during PI Planning, they get that chance to be heard. They get that chance to participate rather than just be at the end where they're told what to do.

    Sean Blake:

    Mm-hmm (affirmative). So it really empowers the team.

    Gerald Cadden:

    Yeah. Absolutely.

    Sean Blake:

    That's great. So as a company moves out of the implementation phase and becomes a little bit more used to the way of doing things what's the best way for them to go about communicating that progress to the wider organization and then really evangelizing this way of working to try and get more teams on board and more Agile release trains set up so that it's really a whole company approach.

    Gerald Cadden:

    Yeah. A good question. So I think first of all the system demo that we do. So the regular system demos that take place, this is an event where you can invite people to. So when you get to the end of the program increment, the 10, 12, or the eight, 10 or 12 weeks and you're doing your PI system demo that's a chance for you to invite people that may be in the organization who are next on the list and they're going to be doing this, or they're curious, or if you have external suppliers who you're trying to get on board as part of the training have them come. Have them come to these events so they can just participate. They can see what goes on and it takes away some of the fear of what that stuff is. It gives them work much.

    Gerald Cadden:

    So the system demo whether you do it during the PI, but definitely the PI system demo and you want that one. So more ad hoc things and one of the things that I've seen organizations really fail to do is when they're having success the leadership around the train need to go out and I hate the term evangelize, but go out and show the successes. Get out and talk about this at the next company meeting present where they were and where they are now. But as part of that don't share just the metrics that show greater delivery of value show the human metrics, show how the team went from maybe a certain level of disgruntlement to maybe feeling happier and getting better feedback, show with how the business and technology have come closer together because they're able to collaborate and actually produce value together rather than being at odds because the system makes them at odds.

    Sean Blake:

    Awesome. Gerald is there anything else you'd like to share with our audience before we wrap up the episode? Any tips or words of encouragement, or perhaps some advice for those who are considering scaling up their Agile teams.

    Gerald Cadden:

    I think that the one piece of advice again, I'll reiterate back to the earlier point I made is as you are going through the implementation process and you're starting to launch your train and train your teams figure out how you're going to support them when you launch. Putting people through an SPC class or through all the other classes they won't come out safe geniuses. They'll have knowledge and they'll have the enthusiasm and have some trepidation as well, but you need good coaching. So figure out as you're beginning the implementation pattern where you're designing the teams et cetera, figure out what your coaching pattern is going to be. Hire the people with the knowledge and the experience work with a partner for the knowledge and experience. They shouldn't stay there forever if you work with consultants.

    Gerald Cadden:

    Their job should be to come in and empower you not to stay there permanently, but without that coaching and coaching over a couple of PIs your teams tend to run into problems and go backwards. So to keep that momentum moving forward for me it's figure out the coaching pattern. The only other one I would say too is make sure that you get good collaboration between product and the people who are going to be the product management role on architecture, get rid of the grievances, have them work together because those can stifle you. Get in and talk about the environments before you launch. You don't want funny problems when you, "Oh, the architecture is terrible." Okay. Let's talk about that before we launch." So just a couple of things that I think are really important things to focus on before you launch the train.

    Sean Blake:

    Awesome. I really appreciate that Gerald. I've actually learned a lot in our chat around. It's the same challenges that you had 10 years ago it's the same challenges that we have today. The really the COVID is the challenge of how do you focus on the mindset change. We've talked about the teams are eager to change. There might be a few grumbly voices along the way, but really it's about leadership providing a welcoming and safe environment to foster that change and the difference between being a coach and a consultant, the importance of mentoring. Wow we actually covered a lot of ground didn't we?

    Gerald Cadden:

    I may get some hate mail for that comment, but...

    Sean Blake:

    Oh, we'll see. Time will tell. Thanks so much Gerald for joining us on the Easy Agile Podcast. And we appreciate you sharing your expertise with us and the audience for the podcast. Thanks for having you.

    Gerald Cadden:

    Happy to do it anytime. Thanks for having me here today.

    Sean Blake:

    Thanks Gerald.

  • 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.