Easy Agile Podcast Ep.34 Henrik Kniberg on Team Productivity, Code Quality, and the Future of Software Engineering
TL;DR
Henrik Kniberg, the agile coach behind Spotify's model, discusses how AI is fundamentally transforming software development. Key takeaways: AI tools like Cursor and Claude are enabling 10x productivity gains; teams should give developers access to paid AI tools and encourage experimentation; coding will largely disappear as a manual task within 3–4 years; teams will shrink to 2 people plus AI; sprints will become obsolete in favour of continuous delivery; product owners can now write code via AI, creating pull requests instead of user stories; the key is treating AI like a brilliant intern – when it fails, the problem is usually your prompt or code structure, not the AI. Bottom line: Learn to use AI now, or risk being left behind in a rapidly changing landscape.
Introduction
Artificial intelligence is fundamentally reshaping how software teams work, collaborate, and deliver value. But with this transformation comes questions: How do we maintain team morale when people fear being replaced? What happens to code quality when AI writes most of the code? Do traditional agile practices like sprints still make sense?
In this episode, I sit down with Henrik Kniberg to tackle these questions head-on. Henrik is uniquely positioned to guide us through this transition – he's the agile coach and entrepreneur who pioneered the famous Spotify model and helped transform how Lego approached agile development. Now, as co-founder of Abundly AI, he's at the forefront of helping teams integrate AI into their product development workflows.
This conversation goes deep into the practical realities of AI-powered development: from maintaining code review processes when productivity increases 10x, to ethical considerations around AI usage, to what cross-functional teams will look like in just a few years. Henrik doesn't just theorise – he shares real examples from his own team, where their CEO (a non-coder) regularly submits pull requests, and where features that once took a sprint can now be built during a 7-minute subway ride.
Whether you're a developer wondering if AI will replace you, a product owner looking to leverage these tools, or a leader trying to navigate this transformation, this episode offers concrete, actionable insights for thriving in the AI era.
About Our Guest
Henrik Kniberg is an agile coach, author, and entrepreneur whose work has shaped how thousands of organisations approach software development. He's best known for creating the Spotify model – the squad-based organisational structure that revolutionised how large tech companies scale agile practices. His work at Spotify and later at Lego helped demonstrate how agile methodologies could work at enterprise scale whilst maintaining team autonomy and innovation.
Henrik's educational videos have become legendary in the agile community. His "Agile Product Ownership in a Nutshell" video, created over a decade ago, remains one of the most-watched and shared resources for understanding product ownership, with millions of views. His ability to distil complex concepts into simple, visual explanations has made him one of the most accessible voices in agile education.
More recently, Henrik has turned his attention to the intersection of AI and product development. As co-founder of Abundly AI, he's moved from teaching about agile transformation to leading AI transformation – helping companies and teams understand how to effectively integrate generative AI tools into their development workflows. His approach combines his deep understanding of team dynamics and agile principles with hands-on experience using cutting-edge AI tools like Claude, Cursor, and GitHub Copilot.
Henrik codes daily using AI and has been doing so for over two and a half years, giving him practical, lived experience with these tools that goes beyond theoretical understanding. He creates educational content about AI, trains teams on effective AI usage, and consults with organisations navigating their own AI transformations. His perspective is particularly valuable because he views AI through the lens of organisational change management – recognising that successful AI adoption isn't just about the technology, it's about people, culture, and process.
Based in Stockholm, Sweden, Henrik continues to push the boundaries of what's possible when human creativity and AI capabilities combine, whilst maintaining a pragmatic, human-centred approach to technological change.
Transcript
Note: This transcript has been lightly edited for clarity and readability.
Maintaining Team Morale and Motivation in the AI Era
Tenille Hoppo: Hi there, team, and welcome to this new episode of the Easy Agile Podcast. My name is Tenille Hoppo, and I'm feeling really quite lucky to have an opportunity to chat today with our guest, Henrik Kniberg.
Henrik is an agile coach, author, and entrepreneur known for pioneering agile practices at companies like Spotify and Lego, and more recently for his thought leadership in applying AI to product development. Henrik co-founded Abundly AI, and when he isn't making excellent videos to help us all understand AI, he is focused on the practical application of generative AI in product development and training teams to use these technologies effectively.
Drawing on his extensive experience in agile methodologies and team coaching, Henrik seems the perfect person to learn from when thinking about the intersection of AI, product development, and effective team dynamics. So a very warm welcome to you, Henrik.
Henrik Kniberg: Thank you very much. It's good to be here.
Tenille: I think most people would agree that motivated people do better work. So I'd like to start today by touching on the very human element of this discussion and helping people maintain momentum and motivation when they may be feeling some concern or uncertainty about the upheaval that AI might represent for them in their role.
What would you suggest that leaders do to encourage the use of AI in ways that increase team morale and creativity rather than risking people feeling quite concerned or even potentially replaced?
Henrik: There are kind of two sides to the coin. There's one side that says, "Oh, AI is gonna take my job, and I'm gonna get fired." And the other side says, "Oh, AI is going to give me superpowers and give us all superpowers, and thereby give us better job security than we had before."
I think it's important to press on the second point from a leader's perspective. Pitch it as this is a tool, and we are entering a world where this tool is a crucial tool to understand how to use – in a similar way that everyone uses the Internet. We consider it obvious that you need to know how to use the Internet. If you don't know how to use the Internet, it's going to be hard.
"I encourage people to experiment, give them access to the tools to do so, and encourage sharing. And don't start firing people because they get productive."
I also find that people tend to get a little bit less scared once they learn to use it. It becomes less scary. It's like if you're worried there's a monster under your bed, maybe look under your bed and turn on the lights. Maybe there wasn't a monster there, or maybe it was there but it was kind of cute and just wanted a hug.
Creating a Culture of Safe Experimentation
Tenille: I've read that you encourage experimentation with AI through learning – I agree it's the best way to learn. What would you encourage leaders and team leaders to do to create a strong culture where teams feel safe to experiment?
Henrik: There are some things. One is pretty basic: just give people access to good AI tools. And that's quite hard in some large organisations because there are all kinds of resistance – compliance issues, data security issues. Are we allowed to use ChatGPT or Claude? Where is our data going? There are all these scary things that make companies either hesitate or outright try to stop people.
Start at that hygiene level. Address those impediments and solve them. When the Internet came, it was really scary to connect your computer to the Internet. But now we all do it, and you kind of have to, or you don't get any work done. We're at this similar moment now.
"Ironically, when companies are too strict about restricting people, then what people tend to do is just use shadow AI – they use it on their own in private or in secret, and then you have no control at all."
Start there. Once people have access to really good AI tools, then it's just a matter of encouraging and creating forums. Encourage people to experiment, create knowledge-sharing forums, share your own experiments. Try to role-model this yourself. Say, "I tried using AI for these different things, and here's what I learned." Also provide paths for support, like training courses.
The Right Mindset for Working with AI
Tenille: What would you encourage in team members as far as their mindset or skills go? Certainly a nature of curiosity and a willingness to learn and experiment. Is there anything beyond that that you think would be really key?
Henrik: It is a bit of a weird technology that's never really existed before. We're used to humans and code. Humans are intelligent and kind of unpredictable. We hallucinate sometimes, but we can do amazing things. Code is dumb – it executes exactly what you told it to do, and it does so every time exactly the same way. But it can't reason, it can't think.
Now we have AI and AI agents which are somewhere in the middle. They're not quite as predictable as code, but they're a lot more predictable than humans typically. They're a lot smarter than code, but maybe not quite as smart as humans – except for some tasks when they're a million times smarter than humans. So it's weird.
You need a kind of humble attitude where you come at it with a mindset of curiosity. Part of it is also to realise that a lot of the limitation is in you as a user. If you try to use AI for coding and it wrote something that didn't work, it's probably not the model itself. It's probably your skills or lack of skills because you have to learn how to use these tools. You need to have this attitude of "Oh, it failed. What can I do differently next time?" until you really learn how to use it.
"There can be some aspect of pride with developers. Like, 'I've been coding for 30 years. Of course this machine can't code better than me.' But if you think of it like 'I want this thing to be good, I want to bring out the best in this tool' – not because it's going to replace me, but because it's going to save me a tonne of time by doing all the boring parts of the coding so I can do the more interesting parts – that kind of mindset really helps."
Maintaining Code Quality and Shared Understanding
Tenille: Our team at Easy Agile is taking our steps and trying to figure out how AI is gonna work best for us. I put the question out to some of our teams, and there were various questions around people taking their first steps in using AI as a co-pilot and producing code. There are question marks around consistency of code, maintaining code quality and clean architecture, and even things like maintaining that shared understanding of the code base. What advice do you have for people in that situation?
Henrik: My first piece of advice when it comes to coding – and this is something I do every day with AI, I've been doing for about two and a half years now – is that the models now, especially Claude, have gotten to the level where it's basically never the AI's fault anymore. If it does anything wrong, it's on you.
You need to think about: okay, am I using the wrong tool maybe? Or am I not using the tool correctly?
For example, the current market leader in terms of productivity tools with AI is Cursor. There are other tools that are getting close like GitHub Copilot, but Cursor is way ahead of anything else I've seen. With Cursor, it basically digs through your code base and looks for what it needs.
But if it fails to find what it needs, you need to think about why. It probably failed for the same reason a human might have failed. Maybe your code structure was very unstructured. Maybe you need to explain to the AI what the high-level structure of your code is.
"Think of it kind of like a really smart intern who just joined your team. They're brilliant at coding, but now they got confused about something, and it's probably your code – something in it that made it confused. And now you need to clarify that."
There are ways to do that. In Cursor, for example, you can create something called cursor rules, which are like standing documents that describe certain aspects of your system. In my team, we're always tweaking those rules. Whenever we find that the AI model did something wrong, we're always analysing why. Usually it's our prompt – I just phrased it badly – or I just need to add a cursor rule, or I need to break the problem down a little bit.
It's exactly the same thing as if you go to a team and give them this massive user story that includes all these assumptions – they'll probably get some things wrong. But if you take that big problem and sit down together and analyse it and split it into smaller steps where each step is verifiable and testable, now your team can do really good work. It's exactly the same thing with AI.
Addressing the Code Review Bottleneck
Tenille: One of our senior developers found that he was outputting code at a much greater volume and faster speed, but the handbrake he found was actually their code review processes. They were keeping the same processes they had previously, and that was a bit of a handbrake for them. What kind of advice would you have there?
Henrik: This reminds me of the general issue with any kind of productivity improvement. If you have a value stream, a process where you do different parts – you do some development, some testing, you have some design – whenever you take one part of the process and make it super optimised, the bottleneck moves to somewhere else.
If testing is no longer the bottleneck, maybe coding is. And when coding is instant, then maybe customer feedback – or lack of customer feedback – is the bottleneck. The bottleneck just keeps moving. In that particular case, the bottleneck became code review. So I would just start optimising that. That's not an AI problem. It's a process problem.
Look at it: what exactly are we trying to do when we review? Maybe we could think about changing the way we review things. For example, does all code need to be reviewed? Would it be enough that the human who wrote it and the AI, together with the human, agree that this is fine? Or maybe depending on the criticality of that change, in some cases you might just let it pass or use AI to help in the reviewing process also.
"I think there's value in code review in terms of knowledge sharing in a large organisation. But maybe the review doesn't necessarily need to be a blocking process either. It could be something you go back and look at – don't let it stop you from shipping, but maybe go back once per week and say, 'Let's look at some highlights of some changes we've made.'"
We produce 10 times more code than in the past, so reviewing every line is not feasible. But maybe we can at least identify which code is most interesting to look at.
Ethical Considerations: Balancing Innovation with Responsibility
Tenille: Agile emphasises people over process and delivering value to customers. Now with AI in the mix, there's potential for raising some ethical considerations. I'm interested in your thoughts on how teams should approach these ethical considerations that come along with AI – things like balancing rapid experimentation against concerns around bias, potential data privacy concerns.
Henrik: I would treat each ethical question on its own merits. Let me give you an example. When you use AI – let's say facial recognition technology that can process and recognise faces a lot better than any human – I kind of put that in the bucket of: any tool that is really useful can also be used for bad things. A hammer, fire, electricity.
That doesn't have so much to do with the tool itself. It has much more to do with the rules and regulations and processes around the tool. I can't really separate AI in that sense. Treat it like any other system. Whenever you install a camera somewhere, with or without AI, that camera is going to see stuff. What are you allowed to do with that information? That's an important question. But I don't think it's different for AI really, in that sense, other than that AI is extremely powerful. So you need to really take that seriously, especially when it comes to things like autonomous weapons and the risk of fraud and fake news.
"An important part of it is just to make it part of the agenda. Let's say you're a recruitment company and you're now going to add some AI help in screening. At least raise the question: we could do this. Do we want to do this? What is the responsible way to do it?"
It's not that hard to come up with reasonable guidelines. Obviously, we shouldn't let the AI decide who we're going to hire or not. That's a bad idea. But maybe it can look at the pile of candidates that we plan to reject and identify some that we should take a second look at. There's nothing to lose from that because that AI did some extra research and found that this person who had a pretty weak CV actually has done amazing things before.
We're actually working with a company now where we're helping them build some AI agents. Our AI agents help them classify CVs – not by "should we hire them or not," but more like which region in Sweden is this, which type of job are we talking about here. Just classifying to make it more likely that this job application reaches the right person. That's work that humans did before with pretty bad accuracy.
The conclusion was that AI, despite having biases like we humans do, seemed to have less biases than the human. Mainly things like it's never going to be in a bad mood because it hasn't had its coffee today. It'll process everybody on the same merits.
I think of it like a peer-to-peer thing. Imagine going to a doctor – ideally, I want to have both a human doctor and an AI doctor side by side, just because they both have biases, but now they can complement each other. It's like having a second opinion. If the AI says we should do this and the doctor says, "No, wait a second," or vice versa, having those two different opinions is super useful.
Parallels Between Agile and AI Transformations
Tenille: You're recognised as one of the leading voices in agile software development. I can see, and I'm interested if you do see, some parallels between the agile transformations that you led at Spotify and Lego with the AI transformations that many businesses are looking at now.
Henrik: I agree. I find that when we help companies transition towards becoming AI native, a lot of the thinking is similar to agile. But I think we can generalise that agile transformations are not really very special either – it's organisational change.
There are some patterns involved regardless of whether you're transitioning towards an agile way of working or towards AI. Some general patterns such as: you've got to get buy-in, it's useful to do the change in an incremental way, balance bottom-up with top-down. There are all these techniques that are useful regardless. But as an agilist, if you have some skills and competence in leading and supporting a change process, then that's going to be really useful also when helping companies understand how to use AI.
Tenille: Are you seeing more top-down or bottom-up when it comes to AI transformations?
Henrik: So far it's quite new still. The jury's not in yet. But so far it looks very familiar to me. I'm seeing both. I'm seeing situations where it's pure top-down where managers are like "we got to go full-out AI," and they push it out with mixed results. And sometimes just completely bottom-up, also with mixed results.
Sometimes something can start completely organically and then totally take hold, or it starts organically and then gets squashed because there was no buy-in higher up. I saw all of that with agile as well. My guess is in most cases the most successful will be when you have a bit of both – support and guidance from the top, but maybe driven from the bottom.
"I think the bottom-up is maybe more important than ever because this technology is so weird and so fast-moving. As a leader, you don't really have a chance if you try to control it – you're going to slow things down to an unacceptable level. People will be learning things that you can't keep up with yourself. So it's better to just enable people to experiment a lot, but then of course provide guidance."
AI for Product Owners: From Ideation to Pull Requests
Tenille: You're very well known for your guidance and for your ability to explain quite complex concepts very simply and clearly. I was looking at your video on YouTube today, the Agile Product Ownership in a Nutshell video, which was uploaded about 12 years ago now. Thinking about product owners, there's a big opportunity now with AI for generating ideas, analysing data, and even suggesting new features. What's your advice for product owners and product managers in using AI most effectively?
Henrik: Use it for everything. Overuse it so you can find the limits. The second thing is: make sure you have access to a good AI model. Don't use the free ones. The difference is really large – like 10x, 100x difference – just in paying like $20 per month or something. At the moment, I can particularly strongly recommend Claude. It's in its own category of awesomeness right now. But that of course changes as they leapfrog each other. But mainly: pay up, use a paid model, and then experiment.
For product owners, typical things are what you already mentioned – ideation, creating good backlog items, splitting a story – but also writing code. I would say as a PO, there is this traditional view, for example in Scrum, that POs should not be coding. There's a reason for that: because coding takes time, and then as PO you get stuck in details and you lose the big picture.
Well, that's not true anymore. There are very many things that used to be time-consuming coding that is basically a five-minute job with a good prompt.
"Instead of wasting the team's time by trying to phrase that as a story, just phrase it as a pull request instead and go to the team and demonstrate your running feature."
That happened actually today. Just now, our CEO, who's not a coder, came to me with a pull request. In fact, quite often he just pushes directly to a branch because it's small changes. He wants to add some new visualisation for a graph or something in our platform – typically admin stuff that users won't see, so it's quite harmless if he gets it wrong.
He's vibe coding, just making little changes to the admin, which means he never goes to my team and says, "Hey, can you guys generate this report or this graph for how users use our product?" No, he just puts it in himself if it's simple.
Today we wanted to make a change with how we handle payments for enterprise customers. Getting that wrong is a little more serious, and the change wasn't that hard, but he just didn't feel completely comfortable pushing it himself. So he just made a PR instead, and then we spent 15 minutes reviewing it. I said it was fine, so we pushed it.
It's so refreshing that now anybody can code. You just need to learn the basic prompting and these tools. And then that saves time for the developers to do the more heavyweight coding.
Tenille: It's an interesting world where we can have things set up where anyone could just jump in and with the right guardrails create something. It makes Friday demos quite probably a lot more interesting than maybe they used to be in the past.
Henrik: I would like to challenge any development team to let their stakeholders push code, and then find out whatever's stopping you from doing that and fix that. Then you get to a very interesting space.
Closing the Gap Between Makers and Users
Tenille: A key insight from your work with agile teams in the past has been to really focus on minimising that gap between maker and user. Do you think that AI helps to close that gap, or do you think it potentially risks widening it if teams are focusing too much on AI predictions and stop talking to their customers effectively?
Henrik: I think that of course depends a lot on the team. But from what I've seen so far, it massively reduces the gap. Because if I don't have to spend a week getting a feature to work, I can spend an hour instead. Then I have so much more time to talk to my users and my customers.
If the time to make a clickable prototype or something is a few seconds, then I can do it live in real time with my customers, and we can co-create. There are all these opportunities.
I find that – myself, my teams, and the people I work with – we work a lot more closely with our users and customers because of this fast turnaround time.
"Just yesterday I was teaching a course, and I was going home sitting on the subway. It was a 15-minute subway ride. I finally got a seat, so I had only 7 minutes left. There's this feature that I wanted to build that involved both front-end and back-end and a database schema change. Well, 5 minutes later it was done and I got off the subway and just pushed it. That's crazy."
Of course, our system is set up optimised to enable it to be that fast. And of course not everything will work that well. But every time it does, I've been coding for 30 years, and I feel like I wake up in some weird fantasy every day, wondering, "Can I really be this productive?" I never would have thought that was possible.
Looking Ahead: The Future of Agile Teams
Tenille: I'd like you to put your futurist hat on for a moment. How do you see the future of agile teamwork in, say, 10 to 15 years time? If we would have this conversation again in 2035, given the exponential growth of AI and improvements over the last two to three years, what do you think would be the biggest change for software development teams in how they operate?
Henrik: I can't even imagine 10 years. Even 5 years is just beyond imagination. That's like asking someone in the 1920s to imagine smartphones and the Internet. I think that's the level of change we're looking at.
I would shorten the time a little bit and say maybe 3 or 4 years. My guess there – and I'm already seeing this transfer happen – is that coding will just go away. It just won't be stuff that we humans do because we're too slow and we hallucinate way too much.
But I think engineering and the developer role will still be there, just that we don't type lines of code – in the same way that we no longer make punch cards or we no longer write machine code and poke values into registers using assembly language. That used to be a big part of it, but no longer.
"In the future, as developers, a lot of the work will still be the same. You're still designing stuff, you're thinking about architecture, you're interacting with customers, and you're doing all the other stuff. But typing lines of code is something that we're gonna be telling our kids about, and they're not gonna believe that we used to do that."
The other thing is smaller teams, which I'm already seeing now. I think the idea of a cross-functional team of 5 to 7 people – traditionally that was considered quite necessary in order to have all the different skills needed to deliver a feature in a product. But that's not the case anymore. If you skip ahead 2 or 3 years when this knowledge has spread, I think most teams will be 2 people and an AI, because then you have all the domain knowledge you need, probably.
As a consequence of that, we'll just have more teams. More and smaller teams. Of course, then you need to collaborate between the teams, so cross-team synchronisation is still going to be an issue.
Also, I'm already seeing this now, but this concept of sprints – the whole point is to give a team some peace of mind to build something complex, because typically you would need a week or two to build something complex. But now, when it takes a day and some good prompting to do the same thing that would have taken a whole sprint, then the sprint is a day instead. If the sprint is a day, is there any difference between a sprint planning meeting and a daily standup? Not really.
I think sprints will just kind of shrink into oblivion. What's going to be left instead is something a little bit similar – some kind of synchronisation point or follow-up point. Instead of a sprint where every 2 weeks we sit down and try to make a plan, I think it'll be very much continuous delivery on a day-to-day basis. But then maybe every week or two we take a step back and just reflect a little bit and say, "Okay, what have we been delivering the past couple of weeks? What have we been learning? What's our high-level focus for the next couple of weeks?" A very, very lightweight equivalent of a sprint.
I feel pretty confident about that guess because personally, we are already there with my team, and I think it'll become a bit of a norm.
Final Thoughts: Preparing for the Future
Henrik: No one knows what's gonna happen in the future, and those who say they do are kidding themselves. But there's one fairly safe bet though: no matter what happens in the future with AI, if you understand how to use it, you'll be in a better position to deal with whatever that is. That's why I encourage people to get comfortable with it, get used to using it.
Tenille: I have a teenage daughter who I'm actually trying to encourage to learn how to use AI, because I feel like when I was her age, the Internet was the thing that was sort of coming mainstream. It completely changed the way we live. Everything is online now. And I feel like AI is that piece for her.
Henrik: Isn't it weird that the generation of small children growing up now are going to consider this to be normal and obvious? They'll be the AI natives. They'll be like, "Of course I have my AI agent buddy. There's nothing weird about that at all."
Tenille: I'll still keep being nice to my coffee machine.
Henrik: Yeah, that's good. Just in case, you know.
---
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.
Related Episodes
- Podcast
Easy Agile Podcast Ep.6 Chris Stone, The Virtual Agile Coach

What a great conversation this was with Chris Stone, The Virtual Agile Coach!
Chris shared some insights into the importance of sharing and de-stigmatising failures, looking after your own mental health, and why work shouldn't be stale.
Some other areas we discussed were, why you should spend time in self reflection - consider a solospective? and asking "how did that feel?" when working as a team.
"I really enjoyed our chat. Plenty to ponder over the silly season, and set yourself up with a fresh perspective for 2021. Enjoy and Merry Christmas!"
Transcript
Sean Blake:
Hello, and welcome to another episode of the Easy Agile Podcast. It's Sean Blake here, your host today, and we're joined by Chris stone. Chris is going to be a really interesting guest. I really enjoyed recording this episode. Chris is the Virtual Agile Coach. He's an agility lead. People First champion blogger, speaker and trainer, who always seeks to gamify content and create immersive Agile experiences. An Agile convert all the way from back in 2012, Chris has since sought to broaden his experiences, escape his echo chamber and to fearlessly challenge dysfunction and ask the difficult questions. My key takeaways from this episode were; it's okay to share your failures, the importance of recognizing our mental health, why it's important that work doesn't become stale, how to de-stigmatize failure, the importance of selfreflection and holding many self retrospectives, and the origins of the word deadline. You'll be really interested to find out where that word came from and why it's a little bit troubling. So here we go. We're about to jump in. Here's the episode with Chris stone on the Easy Agile Podcast. Chris, thanks so much for joining us and spending some time with us.
Chris Stone:
Hey there Sean, thank you for having me. It's a pleasure.
Sean Blake:
I have to mention you've got a really funky Christmas sweater on today. And for those people listening on the audio, they might have to jump over to YouTube just for a section to check out this sweater. Can you tell us a bit about where that came from?
Chris Stone:
So this sweater was a gift. It's a Green Bay Packers, Chris, Ugly Christmas Jumpers, what they call it. And I'm a fan of the Green Bay Packers, I've been out there a few times to Wisconsin, Green Bay, Wisconsin. It's so cold out there in fact. When you're holding a beer and minus 13 degrees, the beer starts turning to slush just from being outside in the cold air. It's a great place, very friendly, and the jumper was just a gift one Christmas from someone.
Sean Blake:
Love it. There's nothing better than warm beer is there? Okay. So Chris, I first came across you because of the content that you put out on LinkedIn. And the way that you go about it, it's so much fun and so different to really anything else I've seen in the corporate space, in the enterprise space, in the Agile space even, why have you decided to go down this track of calling yourself the virtual Agile coach, building a personal brand and really putting yourself out there?
Chris Stone:
Well, for me, it was an interesting one because COVID, this year has forced a lot of people to convert to being virtual workers, remote workers, virtual coaches themselves. Now, what I realized this year is that, the aspiration for many is those co-located teams, it's always what people desired. They say, "Oh, you have to work harder, Katie, that's the best way." And I realized that in my whole Agile working life, I'd never really had that co-located team. There was always some element of distributed working and the past two years prior to where I'm currently, my current company, I was doing distributed scaled Agile with time zones, including Trinidad and Tobago, Alaska, Houston, the UK, India, and it was all remote.
Chris Stone:
And I thought, all right, this is an opportunity to recognize the fact that I was a virtual Agile coach already, but to share with others, my learnings, my experiences, the challenges I've faced, the failures I've had with the wider community so they can benefit from it because obviously, everyone, or more many have had to make that transition very quickly. And there's lots of learnings there that I'm sure people would benefit from. And this year in particular, I guess the honest answer, the reason for me being, I guess out there and working more on that side of things, being creative is because it's an outlet for my mental health.
Chris Stone:
I suffer from depression and one of my ways of coping with that is being creative and creating new content and sharing it. So I guess it's a reason of... it's linked to that also, but also the stories that people tell me afterwards, they motivate me to keep doing it. So when someone comes to me and says, "Hey, I did the Queen retrospective, the Queen Rock Band retrospective, and this program manager who never smiles connected to the content and admitted he liked Queen and smiled." And this was a first and when people come to me and say, "Hey, we did the Home Alone retrospective, the one of your Christmas themed ones and people loved it. It was great." It was the most engaging retrospective we've had so far because the problem is work can become stale if you let it be so.
Chris Stone:
Retrospectives can become this, what did we do last time? What are we going to do next time? What actions can we do? Et cetera, et cetera. And unless you refresh it and try new things, people will get bored and they'll disconnect and they'll disengage, and you're less likely to get a good outcome that way. So for me, there's no reason you can't make work a little bit fun, with a little bit of creativity and a little bit of energy and passionate about it.
Sean Blake:
I love that. And do you think a lot of people come to work even when they're working in Agile co-located teams and it's just not fun, I mean what do you think the key reasons are that work isn't fun?
Chris Stone:
I think because it can become stale. All right. So let's reflect on where we are today. Today, we're in a situation where we're not face-to-face with one another. We don't have time for those water cooler chats. We don't connect over a coffee or a lunch. We don't have a chat about idle banter and things of that on the way to a meeting room, we didn't have any of that. And that forces people to look at each other and see themselves as an avatar behind a screen, just a name. Often in particular, people aren't even on video camera.
Chris Stone:
It forces them to think of people as a name on a screen, rather than a beating heart on a laptop. And it can abstract people into just these entities, these names you talk to each day and day out, and that can force it to be this professional non-personal interaction. And I'm a firm believer that we need to change that. We need to make things more fun because it can, and in my experience, does result in much better outcomes. I'm very, very people first. We need to focus on people being people. People aren't resources. This is a common phrase I like to refer to you.
Sean Blake:
I love that, people aren't resources. You spoke a little bit about mental health and your struggle with depression. Something that I hear come up time and time again, is people that talk about imposter syndrome. And I wonder, firstly, if you think that might be exasperated through working remotely now. People are not so sure how they fit in, where their role is still the same role that it was 12 months ago. And do you have any tips for people when they're dealing with imposter syndrome, especially in a virtual environment?
Chris Stone:
Well, yeah I think this current environment, this virtual environment, the pandemic in particular, has led to a number of unhelpful behaviors. That there's a lot more challenges with people's mental health and negativity, and that can only lead to, I guess, less desire, less confidence in doing things, maybe doubting yourself. There's some great visuals I've shared on this recently, and it's all about reframing those imposter thoughts you have, the unhelpful thinking, that thing that goes through your mind that says, Oh, they're all going to think I'm a total fraud because maybe I don't have enough years of experience, or I should already know this. I must get more training. There's lots of “shoulding” and “musting” in that. There's lots of jumping to conclusions in this.
Chris Stone:
And a couple of ways of getting around that is, so if you're thinking of the scenario where I'm a fraud think, "Oh, well I'm doing my best, but I can't predict what they might think." When you're trying to think about the scenario of do I need to get more training? Well, understand and acknowledge the reality that you can't possibly know everything. You continue to learn every single day and that's great, but it's unrealistic to know it all. There's a great quote I often refer to and it's, true knowledge is knowing that you know nothing. I believe it's a quote from Socrates.
Chris Stone:
And it's something that very much resonates with me. Over the years I've gone through this learning journey where, when I first finished university, for example, I thought I knew everything. I thought I've got it all. And I'd go out to clients and speak and I'm like, "Oh yeah, I know this. I've got this guys." And then the more involved I've become and the more deeper I've gone into the topic, the more I realized, actually there's so much that I don't know. And to me, true knowledge is knowing that you know nothing tells me there's so much out there that I must continuously learn, I must continuously seek to challenge myself each and every day.
Chris Stone:
Other people who approach me and say, "How do you, or you produce a lot of content. How would you put yourself out there?" And I say, "Well, I just do it." Let's de-stigmatize failure. If you put a post out there and it bombs, it doesn't matter, put another one out there. It's as simple as that, learn from failure, Chuck something out there, try it, if it doesn't work, try something else. We coach Agile teams to do this all the time, to experiment. Have a hypothesis to test against that. Verify the outcomes and do retrospectives. I do weekly solospectives. I reflect on my week, what works, what hasn't worked, what I'm going to try differently. And there's no reason you can't do that also.
Sean Blake:
Okay. So weekly solospectives. What does that look like? And how do you be honest with yourself about what's working, what's not working and areas for yourself to improve? How do you actually start to have that time for self-reflection?
Chris Stone:
Unfortunately you got to make time for some reflection. One thing I've learned with mental health is you have to make time for your health before you have to make time for your illness or before you're forced to make time for your illness. And it can become all too easy in this busy working world to not make time for your health, to not make time and focus on you. So you do just have to carve out that time, whether that's blocking some time in the diary on a Friday afternoon, just to sit down and reflect, whether that's making time to go out for a walk, setting up a time on your Alexa to have a five minute stretching break, whatever it is, there's things you can do, and you have things you have to do to make time for yourself.
Chris Stone:
With regards to a solospective, the way I tend to do things is I tend to journal on a daily basis. That's almost like my own daily standard with myself, it's like, what have I observed? What have I... what challenges do I face in the past day? And then that sums up in the weekly solospective, which is basically a retro for one, where I reflect on, what did I try it? What do I want to achieve this week? What's gone well? What hasn't gone well. It's the same as a retrospective just one and allows me to aggregate my thoughts across the week, rather than them being single events. So that I'm focusing more on the trajectory as opposed to any single outlier. Does that make sense?
Sean Blake:
It does. It does. So you've got this trajectory with your career. You're checking in each week to see whether you're heading in the right direction. I assume that you set personal goals as well along the way. I also noticed that you have personal values that you've published and you've actually published those publicly for other people to look at and to see. How important are those personal values in informing your life and personal and career goals?
Chris Stone:
So I'd say that are hugely important, for me, what I thought was we see companies sharing their values all the time. You look on company websites and you can see their values quite prominently. And you could probably think do they often live up to their values? You have so many companies have customer centricity as their value, but how many of them actually focus on engaging with their customers regularly? How many have a metric where they track, how often they engage with customers? Most of them are focusing on velocity and lead time. So I always challenge, are you really customer centric or is that lip service? But moving aside, I digress. I thought companies have values, and obviously we do as well, but why don't we share them? So I created this visual, showing what mine were and challenged a few others to share it also. And I had some good feedback from others which was great.
Chris Stone:
But they hugely influence who I am and how I interact on a day-to-day basis. And I'll give you an example, one of my values is being open source always. And what that means is nothing I create, no content I create, nothing I produce would ever be behind a payroll. And that's me being community driven. That's me sharing what I've learned with others. And how that's come to fruition, how I've lived that is I've had lots of people come to me say, "Hey, we love the things you do. You gave me flying things. Would you mind, or would you like to collaborate and create this course that people would pay for?" So often I've said, "If it's free, yes. But if it's going to be monetized, then no."
Chris Stone:
And I've had multiple people reach out to me for that purpose. And I've had to decline respectfully and say, "Look, I think what you're doing is great. You've got a great app and I can see how having this Agile coaching gamification course on that would be of great value. But if it's behind the payroll, then I'm not interested because it's in direct conflict with my own values, and therefore, I wouldn't be interested in proceeding with it. But keep doing what you're doing, being people first, #people first." This is about me embodying the focus on people being beating hearts behind a laptop, rather than just this avatar on a screen. And I have this little... the audio listeners, won't be able to see this, but I'm holding up a baby Groot here. And he's like my people first totem.
Chris Stone:
And the reason for that is I have a group called the Guardians of Agility, and we are people first. That's our emblem. And these are my transformation champions in my current company. I like to have Guardians of Agility, and I've got this totem reminding me to be people first in every interaction I have. So when, for example, I hear the term resources and I'm saying, well... As soon as I hear it, it almost triggers me. I almost hear like, "Oh, what do they mean by that?" And I'll wait a little moment and I'll say, "Hey, can you tell me what you mean by that?" And you tease it out a little bit. And often they meant, "Oh, it's people, isn't it?" If you're talking about people, can we refer to them as people?
Chris Stone:
Because people aren't resources. They're not objects or things you mine out the ground. They're not pens, paper or desks. They're not chairs in an office. They are people. And every time you refer to them as a resource, you abstract them. You make it easier to dehumanize them and think of them as lesser, you make it easier to make those decisions like, oh, we can just get rid of those resources or we can just move that resource from here to there and to this team and that team, whether they want to or not. So I don't personally like the language.
Chris Stone:
And the problem is it goes all the way back to how it's trained. You go to university and you take a business degree and you learn about human resources. You take a course, Agile HR, Agile human resources, right, and it's so prevalent out there. And unless we challenge it, it won't change. So I will happily sit there and a meeting with a CTO and he'll start talking about resource and I'll say, "Hey, what do you mean by that?" And I'll challenge it and he'll go, "Yeah, I've done it again, have I not?" "Yes. Yes, you have." And it's gotten to the point now where I'll be on this big group call for example, and someone will say it, and I'll just start doing this on a screen waving, and they'll go, "Did it again, didn't I?" "Yes, you did."
Sean Blake:
So some of these habits are so ingrained from our past experiences our education, and when you're working with teams for the first time, who's never worked in Agile before, they're using phrases like resources, they're doing things that sometimes we call anti-patents, how do you start to even have that conversation and introduce them to some of these concepts that are totally foreign to people who've never thought the way that you or I might think about our teams and our work?
Chris Stone:
Sure. So I guess that the first response to that is with empathy. I'm not going to blame someone or make out that they're a bad person for using words that are ingrained, that are normal. And this is part of the problem that that term, resource is so ingrained in that working language nowadays, same as deadlines. Deadlines is so ingrained, even though deadlines came from a civil war scenario where it referred to, if you went past the line, you were shot. How did that land in the business language? I don't know. But resources, it's so ingrained, it's so entrenched into this language, so people do it without intending to. They often do it without meaning it in a negative way. And to be honest, the word itself isn't the issue, it's how people actually behave and how they treat people.
Chris Stone:
I said my first approach is empathy. Let's talk about this. Let's understand, "Hey, why did you use term?" "Oh, I use it to mean this." "Okay. Well." Yeah, and not to do it or call them out publicly or things like that. It's doing things with empathy. Now, I also often use obviously gamification and training approaches, and Agile games to introduce concepts. If someone's unfamiliar to a certain way of working, I'll often gamify. I'll create something, a virtual Agile game to demonstrate. The way I do say, is I'm always looking to help people understand how it feels, not just to talk theory. And I'll give you an example. I'm a big fan of a game called the Virtual Name Game. It's a game about multitasking and context switching.
Chris Stone:
And I always begin, I'll ask group of people, "Hey guys, can you multitask?" And often they go, "Yeah, we can do that." And there'll be those stereotypical things like, "Oh yeah, I'm a woman. I can do that." It happens. Trust me. But one of the first things I do, if I'm face-to-face with them, I'll say, "Hey, hold your hands out like this. And in your left hand..." And people on the audio can't see me, I'm holding out like my hands in front of me. In my left hand, we're going to play an endless game of rock, paper, scissors. And in my right hand, we're going to play a game of, we have a thumb war with each other. And you can try, you can challenge them, can they do those concurrently? No, they can't. They will fail because you just can't focus on both at the same time.
Chris Stone:
Now the Virtual Name Game, the way it works is you divide a group of people up into primarily customers and one developer. And I love to make the most senior person in the room, that developer. I want them to see how it feels to be constantly context switching. So if you were the developer, you're the senior person to review the hippo in this scenario, the highest paid person. I would say Sean, in this game, these customers, they are trying to get their name written first on this virtual whiteboard. And we're going to time how long it takes for you to write everyone's name in totality. The problem is that they're all going to shouting at you continuously, endlessly trying to get your attention. So it's going to be Sean, Sean, write my name, write my...
Chris Stone:
And it's just going to be wow, wow, wow, who do I focus on? You won't know. And this replicates a scenario that I'm sure many people have experienced. He who shouts loudest gets what they want. Prioritization is often done by he who's... or the person who shouts loudest not necessarily he. We then go into another rounds where you say, I'm this round, Sean, people are to be shouting their name at you. But in this round, you're going to pay a little bit attention to everyone. So the way you're going to do that is you're going to read the first letter of one person's name, then you move on to the first letter of the next person's name, and you're going to keep going around. The consequence of that is everyone gets a little bit of attention, but the result is it's really slow.
Chris Stone:
You're starting lots of things but not finishing them. And again, in each round, we're exploring how it feels. How did it feel to be in that round? Sean, you were being shouted at, how did that feel? Everyone else, you were shouting to get your attention. You had to shout louder than other people, how did that feel? And it's frustrating, it's demotivating, it's not enjoyable. In the final around, I would say, "Hey, Sean, in this round, I'm going to empower you to decide whose name you write first. And you can write the whole thing in order. And the guys actually they're going to help you this time, there are no shouts over each other, they are going to help you." And in this scenario, as I'm sure you can imagine, it feels far better. The result is people finish things, and you can measure the output, the number of brand names written on a timeframe.
Chris Stone:
It's a very quick and easy way of demonstrating how it feels to be constantly context switching and the damage you can have, if, for example, you've prioritized things into a sprint and you got lots of trying to reorder things and so on and so forth, and lots of pressure from external people that ideally should be shielded from influencing this and that, and how that feels and what the result is, because you may start something, get changed into something else. You got to take your mindset of this, back into something else, and then the person who picks up the original thing might not have even been the same person, they've got to learn that over again. There's just lots of waste and efficiency costs through that. And that's just an example of a game I use, to bring that sort of things to life.
Sean Blake:
That's great. That's fantastic. I love that. And I think we need to, at Easy Agile, start playing some of those games because there's a lot of lessons to be learned from going through those exercises. And then when you see it play out in real life, in the work that you're doing, it's easier to recognize it then. If you've done the training, you've done the exercise, that all seems like fun and games at the time, but when it actually rears its head in the work that you're doing, it's much easier to call it out and say, "Oh wait, we're doing that thing that we had fun playing, but now we realize it's occurring in real life and let's go a different direction." So I can see how that would be really powerful for teams to go through that so Chris [crosstalk 00:22:26].
Chris Stone:
I'd also add that every game that I do, I construct it using the four Cs approach. So I'm looking to connect people... firstly, connect people to each other, and then to the subject matter. So in this game is about multitasking. To contextualize why that matters, why does context switching and multitasking matter in the world of work? Because it causes inefficiencies, because it causes frustration, de-motivation, et cetera. Then we do some concrete practice. We play a game that emphasizes how it feels. And at the end we draw conclusions, and the idea is that with the conclusion side of things, it's almost like a retrospective on the game. We say, "Hey, what did we learn? What challenges we face? And what can we do differently in our working world?" And that hopefully leaves people with actionable takeaways. A lot of the content I share is aiming to leave it with actionable takeaways, not just talking about something, but reflecting on what you could do differently, what you could try, what experiment you might like to employ with your working life, your team that might help improve a situation you're facing.
Sean Blake:
Okay. Yeah, that's really helpful. And you've spoken about this concept of Agile sins, and we know that a lot of companies have these values, they might've committed to an Agile transformation. They might've even gone and trained hundreds or thousands of people at accompany using similar tactics and coaching and educational experiences that you provide. But we still see sometimes things go terribly wrong. And I wonder, what's this concept of Agile sins that you talk about and how can we start to identify some of these sins that pop up in our day-to-day work with each other?
Chris Stone:
I guess, so the first thing I would emphasize about this is that using sin, it's a very dogmatic religious language and it's more being used satirically than with any real intent. So I just like to get that across. I'm not a dogmatic person, I don't believe there is any utopian solution. I certainly don't believe there's any one size fit to all situation for anyone. So the idea that there's really any actual sins is... yeah, take that with a pinch of salt. The reason the Agile sins came up is because I was part of... I'd done a podcast recently with a guy called Charles Lindsey, and he does this Agile confessional. And it's about one coach confessing to another, their mistakes, their sins, the things they've done wrong.
Chris Stone:
And I loved it because I'm all about de-stigmatizing failure. I'm all about sharing with one another, these war stories from one coach to another, because I've been a proponent of this in the past. I've shouted, "Hey there, I failed on this. I made this mistake. I learned from it." And I challenge others to do so as well and there's still this reluctance by many to share what went wrong. And it's because failure is this dirty word. It's got this stigma attached to it. No one wants to fail, leaders in particular. So the podcast was a great experience.
Chris Stone:
And it was interesting for me because that was the first time I'd given a confession, because I'll be honest with you, I'm someone who is used to taking confession myself. I go to this hockey festival every year and I got given years ago, this Archbishop outfit, and I kind of made that role my own way. I was drunk, and I said, "You're going to confess your sins to me." And if they haven't sinned enough, I tell them to go and do more. And I give them penicillin with alcohol shots and things like that. And I've actually baptized people in this paddling pool whilst drunk. Anyway, again, I digress, but I wasn't used to confessing myself, usually, I was taking confession, but I did so and it was a good experience to share some of my failures and my patterns was to create... and it was my own idea, to create my videos, seven videos of my seven Agile sins. And again, this was just me sharing my mistakes, what I've learned from that, with the intent of benefiting others to avoid those similar sins.
Sean Blake:
So you've spoken to a lot of other Agile coaches, you've heard about their failures, you confessed your own failures, is it possible for you to summarize down what are those ingredients that make someone a great coach?
Chris Stone: And that is a question, what makes someone a great coach? I think it's going to be entirely subjective, to be honest. And my personal view is that a great coach listens more than they speak. I guess that would be a huge starting point. When they listen more than they speak, because I've... and this is one of the things I've been guilty of in the past, is I've allowed my own biases to influence the team's direction. An approach I'd taken in the past was, "Hey, I'm working with this team and this has worked well in the past. We're going to do that." Rather than, "So guys, what have you done so far? What have you tried? What's worked well? What hasn't worked well? What can we create or what can we try next? That works for you guys. Let's have you make that decision and I'm here to guide you through that process to facilitate it, rather than to direct it myself."
Chris Stone:
Again, I find ... it's an approach that resonates more with people. They like feel that they own that decision as opposed to it being forced upon them. And there's far less, I guess, cognitive dissonance as a consequence. So listening more than speaking is a huge for me, a point an Agile coach should do. Another thing I think for me nowadays, is that there's too much copying and pasting. And what I mean by that is, the Spotify, the Spotify model came out years ago and everyone went, "Oh, this is amazing. We're going to adopt it. We're going to have tribes and chapters and guilds and squads, and it's going to work for us. That's that's our culture now."
Chris Stone:
I was like, "Well, let's just take a moment here. Spotify never intended for that to happen. They don't even follow that model themselves anymore. What you've done there is you've just tried to copy and paste another model." And people do it with SAFe as well. They just say, "Hey, we're going to take the whole SAFe framework and Chuck it into our system in this blueprint style cookie cutter." And the problem is that it doesn't take into account for me, the most important variable in any sort of transformation initiative, the people, what they want, and the culture there. So this is where another one of my values is, innovate, don't replicate. Work with people to experiment and find that Agile, what works for them rather than just copying and pasting things.
Chris Stone:
So tailor it to their needs rather than just coming in with some or seen dancing framework, and then the way I do it is I say, "Hey, well, SAFe is great. Well, it's got lots of values, and lots of great things about it. Lots of benefits to it, but maybe not all of it works for us. Let's borrow a few tenent of that." Same with LeSS, same with Scrum At Scale, same with Scrum, similar to Kanban. There's lots of little things you can borrow from various frameworks, but there's also lots of things you can inject yourself, lot's of things you can try that work for you guys, and ultimately come up with your own tailor-made solutions. So innovate, don't replicate would be another one for me.
Chris Stone:
Learning, learning fast and learning often, and living and breathing that yourself. Another mistake I and other coaches I think have made is not making time for your own personal development to allowing, day in, day out to just be busy, busy, busy, but at the same time you're going out there, coaching teams, "Hey, you've got to learn all the time. You got to try new things." But not making that time for yourself. So I always carve out time to do that, to attend conferences, to read books, to challenge myself and escape my echo chamber. Not just to speak to the same people I do all the time, but perhaps to go on a podcast with people I've never spoken to. To a different audience, maybe to connect with people that actually disagree with me, because I want that.
Chris Stone:
I don't want that homophilous thinking where everyone thinks exactly like I do, because then I don't get exposed to the perspectives that make me think differently. So I'm often doing that. How can I tend to conference that I know nothing about, maybe it's a project management focus one. Project management and waterfall isn't a dirty word either. There is no utopian system, project management and... sure traditional project management and waterfall has its benefits in certain environments. Environments with less footing, less flexible scope or less frequently changing requirements works very well.
Chris Stone:
I always say GDPR, which is an EU legislation around data protection, that was a two year thing in the making and everyone knew exactly what was happening and when they had to do it by. That was a great example of something that can be done very well with a waterfall style, because the requirements weren't changing. But if you are trying to develop something for a customer base that changes all the time, and you've got lots of new things and lots of competitors and things like that, then it varies, and probably the ability to iterate frequently and learn from it is going to be more beneficial and this is where Agile comes in. So I guess to sum up there, there's a few things, learning fast learning often. I can't even remember the ones I've mentioned now, I've gone off on many tangents and this is what I do.
Sean Blake:
I love it. It's great advice, Chris. It's really important and timely. And you mentioned, earlier on that the customer base that's always changing and we know that technology is always changing and things are only going to change more quickly, and disruptions are only going to be more severe going forward. Can you look into the future, or do you ever look into the future and say, what are those trends that are emerging in the Agile space or even in work places that are going to disrupt us in the way that we do our work? What does Agile look like in five or 10 years?
Chris Stone:
Now that again is a very big question. I can sit here and postulate and talk about what it might look like. I'm going to draw upon what I think is a great example of what will shape the next five or 10 years. In February, 2021, there's a festival called Agile 20 Reflect, I'm not sure if you've heard of it, and it's built as a festival, not conference, it's really important. So it's modeled on the Edinburgh festival and what it intends to be is a celebration of the past, the present and the future of Agile. Now what it is, it's a month long series of events on Agile, and anyone can create an event and speak and share, and it will create this huge community driven load of content that will be freely accessible and available.
Chris Stone:
Now, there are three of the original Agile manifestor signatories that are involved in this. Lisa Adkins is involved in this as is lots of big name speakers that are attached to this festival. And I myself, I'm running a series of retrospectives on the Agile manifesto. I've interviewed Arie van Bennekum, one of the original Agile manifesto signatories. They're going to be lots of events out there. And I think that festival will begin to shape in some way, what Agile might look like because there's lots of events, lots of speakers, lots of panel discussions that are coming up, coming together with lots of professionals out there, lots of practitioners out there that will begin to shape what that looks like. So whilst I could sit here and postulate on it, I'm not the expert to be honest, and there are far greater minds than I. And actually I'd rather leverage the power of the wider community and come into that than suggesting mine at this time.
Sean Blake:
Nice. I like it. And what you've done there, you've made it impossible for us to click this video and prove you wrong in the future when you predict something that doesn't end up happening. So that's very wise if you.
Chris Stone: Future proof myself.
Sean Blake: Exactly. Chris, I think we're coming almost to the end now, but I wanted to ask, given the quality of your Christmas sweater, do you have any tips for teams who are working over the holiday period, they're most likely burnt out after a really difficult 2020? What are some of the things you'd say to coaches on Agile teams as they come into this time where hopefully people are able to take some time off, spend some time with their family. Do you have any tips or recommendations for how people can look after their mental health look after their peers and spend that time in self-reflection?
Chris Stone:
Sure. So a number of things that I definitely would recommend. I'm currently producing and sharing this Agile advent calendar. And the idea is that every day you get a new bite-size piece of Agile knowledge or a template or something working in zany or a video, whatever it may be. There's lots of little things getting in there. And there's been retro templates, Christmas and festive themes. So there's a Home Alone one, a Diehard one, an elf movie one, there's all sorts. Perhaps try one of those as a fun immersive way with your team to just reflect on the recent times as a squad and perhaps come up with some things in the next year.
Chris Stone:
And there's for example, the Diehard one, it's based on the quotes from the movie Diehard so it's what you'd be doing in there, celebrate your... to send them to your team. Or there's one in there about, if this is how you celebrate Christmas, I can't wait for new year. And that question was saying, what do we want to try next year? Like this year has been great, what do we want to try differently next year? So there's opportunities through those templates to reflect in a fun way so give one of those a go. I shared some Christmas eve festive Zoom backgrounds, or Team backgrounds, give those a go and make a bit fun, make it a bit immersive. There's Christmas or festive icebreakers that you can use. What I tend to do is any meeting I facilitate, the first five minutes is just unadulterated chat about non-work things, and I often use icebreakers to do so. And whether that's a question, like if you could have the legs of any animal, what would you have and why, Sean, what would that be?
Sean Blake:
Probably a giraffe, because just thought the height advantage, it's got to be something that's useful in everyday life.
Chris Stone: Hard to take you on the ground maybe.
Sean Blake:
Yes. Yes, you would definitely need that. Although, I don't think I would fit in the lift on the way to work, so that would be a problem.
Chris Stone:
Yeah. That's just how I start. But yeah, that's just a question, because it's interesting to see what could people come up with, but there's some festive ones too, what's your favorite Christmas flick? What would put you on the naughty list this year? Yeah, does your family have any weird or quirky Christmas traditions? Because I love hearing about this. Everyone's got their own little thing, whether it's we have one Christmas present on Christmas Eve or every Christmas day we get a pizza together. There's some really random ones that come out. I love hearing about those and making time for that person interaction, but in a festive way can help as well.
Chris Stone:
And then on the mental health side of things, I very much subscribed to the Pomodoro effect from a productivity side of things. So I will use that. I'll set myself a timer, I'll focus without distractions, do something. And then in that five minute break, I'll just get up and move away from my desk and stretch and get a coffee or whatever it may be. But then I'll also block out time, and I know some companies in this remote working world at the moment are saying, "Hey, every one to 2:00 PM is blocked out time for you guys to go and have a walk." Some companies are doing that. I always make time to get out and away from my desk because that... and a little bit more productive and it breaks up my day a little bit. So I definitely recommend that. Getting some fresh air can do wonders for your mental health.
Sean Blake:
Awesome. Well, Chris, I've learnt so much from this episode and I really appreciate you spending some time with us today. We've talked about a lot of things from around the importance of sharing your failures, the importance of looking after your mental health, checking in on yourself and your own development, but also how you tracking, how you feeling. I love that quote that you shared from, we think it Socrates, that true knowledge is knowing that you know nothing. I think that's really important, every day is starting from day one, isn't it? De-stigmatizing failure. The origins of the word deadline. I did not know that. That's really interesting. And just asking that simple question, how did that feel? How did that feel working in this way? People were screaming your name, walk up work, when work's too busy, how does that feel? And is that a healthy feeling that everyone should have? So that's really important questions for me to reflect on and I know our audience will really appreciate those questions as well. So thanks so much Chris, for joining us on the Easy Agile Podcast.
Chris Stone:
Not a problem. Thank you for listening and a Merry Christmas, everyone.
Sean Blake:
Merry Christmas.
- Podcast
Easy Agile Podcast Ep.34 Henrik Kniberg on Team Productivity, Code Quality, and the Future of Software Engineering
TL;DR
Henrik Kniberg, the agile coach behind Spotify's model, discusses how AI is fundamentally transforming software development. Key takeaways: AI tools like Cursor and Claude are enabling 10x productivity gains; teams should give developers access to paid AI tools and encourage experimentation; coding will largely disappear as a manual task within 3–4 years; teams will shrink to 2 people plus AI; sprints will become obsolete in favour of continuous delivery; product owners can now write code via AI, creating pull requests instead of user stories; the key is treating AI like a brilliant intern – when it fails, the problem is usually your prompt or code structure, not the AI. Bottom line: Learn to use AI now, or risk being left behind in a rapidly changing landscape.
Introduction
Artificial intelligence is fundamentally reshaping how software teams work, collaborate, and deliver value. But with this transformation comes questions: How do we maintain team morale when people fear being replaced? What happens to code quality when AI writes most of the code? Do traditional agile practices like sprints still make sense?
In this episode, I sit down with Henrik Kniberg to tackle these questions head-on. Henrik is uniquely positioned to guide us through this transition – he's the agile coach and entrepreneur who pioneered the famous Spotify model and helped transform how Lego approached agile development. Now, as co-founder of Abundly AI, he's at the forefront of helping teams integrate AI into their product development workflows.
This conversation goes deep into the practical realities of AI-powered development: from maintaining code review processes when productivity increases 10x, to ethical considerations around AI usage, to what cross-functional teams will look like in just a few years. Henrik doesn't just theorise – he shares real examples from his own team, where their CEO (a non-coder) regularly submits pull requests, and where features that once took a sprint can now be built during a 7-minute subway ride.
Whether you're a developer wondering if AI will replace you, a product owner looking to leverage these tools, or a leader trying to navigate this transformation, this episode offers concrete, actionable insights for thriving in the AI era.
About Our Guest
Henrik Kniberg is an agile coach, author, and entrepreneur whose work has shaped how thousands of organisations approach software development. He's best known for creating the Spotify model – the squad-based organisational structure that revolutionised how large tech companies scale agile practices. His work at Spotify and later at Lego helped demonstrate how agile methodologies could work at enterprise scale whilst maintaining team autonomy and innovation.
Henrik's educational videos have become legendary in the agile community. His "Agile Product Ownership in a Nutshell" video, created over a decade ago, remains one of the most-watched and shared resources for understanding product ownership, with millions of views. His ability to distil complex concepts into simple, visual explanations has made him one of the most accessible voices in agile education.
More recently, Henrik has turned his attention to the intersection of AI and product development. As co-founder of Abundly AI, he's moved from teaching about agile transformation to leading AI transformation – helping companies and teams understand how to effectively integrate generative AI tools into their development workflows. His approach combines his deep understanding of team dynamics and agile principles with hands-on experience using cutting-edge AI tools like Claude, Cursor, and GitHub Copilot.
Henrik codes daily using AI and has been doing so for over two and a half years, giving him practical, lived experience with these tools that goes beyond theoretical understanding. He creates educational content about AI, trains teams on effective AI usage, and consults with organisations navigating their own AI transformations. His perspective is particularly valuable because he views AI through the lens of organisational change management – recognising that successful AI adoption isn't just about the technology, it's about people, culture, and process.
Based in Stockholm, Sweden, Henrik continues to push the boundaries of what's possible when human creativity and AI capabilities combine, whilst maintaining a pragmatic, human-centred approach to technological change.
Transcript
Note: This transcript has been lightly edited for clarity and readability.
Maintaining Team Morale and Motivation in the AI Era
Tenille Hoppo: Hi there, team, and welcome to this new episode of the Easy Agile Podcast. My name is Tenille Hoppo, and I'm feeling really quite lucky to have an opportunity to chat today with our guest, Henrik Kniberg.
Henrik is an agile coach, author, and entrepreneur known for pioneering agile practices at companies like Spotify and Lego, and more recently for his thought leadership in applying AI to product development. Henrik co-founded Abundly AI, and when he isn't making excellent videos to help us all understand AI, he is focused on the practical application of generative AI in product development and training teams to use these technologies effectively.
Drawing on his extensive experience in agile methodologies and team coaching, Henrik seems the perfect person to learn from when thinking about the intersection of AI, product development, and effective team dynamics. So a very warm welcome to you, Henrik.
Henrik Kniberg: Thank you very much. It's good to be here.
Tenille: I think most people would agree that motivated people do better work. So I'd like to start today by touching on the very human element of this discussion and helping people maintain momentum and motivation when they may be feeling some concern or uncertainty about the upheaval that AI might represent for them in their role.
What would you suggest that leaders do to encourage the use of AI in ways that increase team morale and creativity rather than risking people feeling quite concerned or even potentially replaced?
Henrik: There are kind of two sides to the coin. There's one side that says, "Oh, AI is gonna take my job, and I'm gonna get fired." And the other side says, "Oh, AI is going to give me superpowers and give us all superpowers, and thereby give us better job security than we had before."
I think it's important to press on the second point from a leader's perspective. Pitch it as this is a tool, and we are entering a world where this tool is a crucial tool to understand how to use – in a similar way that everyone uses the Internet. We consider it obvious that you need to know how to use the Internet. If you don't know how to use the Internet, it's going to be hard.
"I encourage people to experiment, give them access to the tools to do so, and encourage sharing. And don't start firing people because they get productive."
I also find that people tend to get a little bit less scared once they learn to use it. It becomes less scary. It's like if you're worried there's a monster under your bed, maybe look under your bed and turn on the lights. Maybe there wasn't a monster there, or maybe it was there but it was kind of cute and just wanted a hug.
Creating a Culture of Safe Experimentation
Tenille: I've read that you encourage experimentation with AI through learning – I agree it's the best way to learn. What would you encourage leaders and team leaders to do to create a strong culture where teams feel safe to experiment?
Henrik: There are some things. One is pretty basic: just give people access to good AI tools. And that's quite hard in some large organisations because there are all kinds of resistance – compliance issues, data security issues. Are we allowed to use ChatGPT or Claude? Where is our data going? There are all these scary things that make companies either hesitate or outright try to stop people.
Start at that hygiene level. Address those impediments and solve them. When the Internet came, it was really scary to connect your computer to the Internet. But now we all do it, and you kind of have to, or you don't get any work done. We're at this similar moment now.
"Ironically, when companies are too strict about restricting people, then what people tend to do is just use shadow AI – they use it on their own in private or in secret, and then you have no control at all."
Start there. Once people have access to really good AI tools, then it's just a matter of encouraging and creating forums. Encourage people to experiment, create knowledge-sharing forums, share your own experiments. Try to role-model this yourself. Say, "I tried using AI for these different things, and here's what I learned." Also provide paths for support, like training courses.
The Right Mindset for Working with AI
Tenille: What would you encourage in team members as far as their mindset or skills go? Certainly a nature of curiosity and a willingness to learn and experiment. Is there anything beyond that that you think would be really key?
Henrik: It is a bit of a weird technology that's never really existed before. We're used to humans and code. Humans are intelligent and kind of unpredictable. We hallucinate sometimes, but we can do amazing things. Code is dumb – it executes exactly what you told it to do, and it does so every time exactly the same way. But it can't reason, it can't think.
Now we have AI and AI agents which are somewhere in the middle. They're not quite as predictable as code, but they're a lot more predictable than humans typically. They're a lot smarter than code, but maybe not quite as smart as humans – except for some tasks when they're a million times smarter than humans. So it's weird.
You need a kind of humble attitude where you come at it with a mindset of curiosity. Part of it is also to realise that a lot of the limitation is in you as a user. If you try to use AI for coding and it wrote something that didn't work, it's probably not the model itself. It's probably your skills or lack of skills because you have to learn how to use these tools. You need to have this attitude of "Oh, it failed. What can I do differently next time?" until you really learn how to use it.
"There can be some aspect of pride with developers. Like, 'I've been coding for 30 years. Of course this machine can't code better than me.' But if you think of it like 'I want this thing to be good, I want to bring out the best in this tool' – not because it's going to replace me, but because it's going to save me a tonne of time by doing all the boring parts of the coding so I can do the more interesting parts – that kind of mindset really helps."
Maintaining Code Quality and Shared Understanding
Tenille: Our team at Easy Agile is taking our steps and trying to figure out how AI is gonna work best for us. I put the question out to some of our teams, and there were various questions around people taking their first steps in using AI as a co-pilot and producing code. There are question marks around consistency of code, maintaining code quality and clean architecture, and even things like maintaining that shared understanding of the code base. What advice do you have for people in that situation?
Henrik: My first piece of advice when it comes to coding – and this is something I do every day with AI, I've been doing for about two and a half years now – is that the models now, especially Claude, have gotten to the level where it's basically never the AI's fault anymore. If it does anything wrong, it's on you.
You need to think about: okay, am I using the wrong tool maybe? Or am I not using the tool correctly?
For example, the current market leader in terms of productivity tools with AI is Cursor. There are other tools that are getting close like GitHub Copilot, but Cursor is way ahead of anything else I've seen. With Cursor, it basically digs through your code base and looks for what it needs.
But if it fails to find what it needs, you need to think about why. It probably failed for the same reason a human might have failed. Maybe your code structure was very unstructured. Maybe you need to explain to the AI what the high-level structure of your code is.
"Think of it kind of like a really smart intern who just joined your team. They're brilliant at coding, but now they got confused about something, and it's probably your code – something in it that made it confused. And now you need to clarify that."
There are ways to do that. In Cursor, for example, you can create something called cursor rules, which are like standing documents that describe certain aspects of your system. In my team, we're always tweaking those rules. Whenever we find that the AI model did something wrong, we're always analysing why. Usually it's our prompt – I just phrased it badly – or I just need to add a cursor rule, or I need to break the problem down a little bit.
It's exactly the same thing as if you go to a team and give them this massive user story that includes all these assumptions – they'll probably get some things wrong. But if you take that big problem and sit down together and analyse it and split it into smaller steps where each step is verifiable and testable, now your team can do really good work. It's exactly the same thing with AI.
Addressing the Code Review Bottleneck
Tenille: One of our senior developers found that he was outputting code at a much greater volume and faster speed, but the handbrake he found was actually their code review processes. They were keeping the same processes they had previously, and that was a bit of a handbrake for them. What kind of advice would you have there?
Henrik: This reminds me of the general issue with any kind of productivity improvement. If you have a value stream, a process where you do different parts – you do some development, some testing, you have some design – whenever you take one part of the process and make it super optimised, the bottleneck moves to somewhere else.
If testing is no longer the bottleneck, maybe coding is. And when coding is instant, then maybe customer feedback – or lack of customer feedback – is the bottleneck. The bottleneck just keeps moving. In that particular case, the bottleneck became code review. So I would just start optimising that. That's not an AI problem. It's a process problem.
Look at it: what exactly are we trying to do when we review? Maybe we could think about changing the way we review things. For example, does all code need to be reviewed? Would it be enough that the human who wrote it and the AI, together with the human, agree that this is fine? Or maybe depending on the criticality of that change, in some cases you might just let it pass or use AI to help in the reviewing process also.
"I think there's value in code review in terms of knowledge sharing in a large organisation. But maybe the review doesn't necessarily need to be a blocking process either. It could be something you go back and look at – don't let it stop you from shipping, but maybe go back once per week and say, 'Let's look at some highlights of some changes we've made.'"
We produce 10 times more code than in the past, so reviewing every line is not feasible. But maybe we can at least identify which code is most interesting to look at.
Ethical Considerations: Balancing Innovation with Responsibility
Tenille: Agile emphasises people over process and delivering value to customers. Now with AI in the mix, there's potential for raising some ethical considerations. I'm interested in your thoughts on how teams should approach these ethical considerations that come along with AI – things like balancing rapid experimentation against concerns around bias, potential data privacy concerns.
Henrik: I would treat each ethical question on its own merits. Let me give you an example. When you use AI – let's say facial recognition technology that can process and recognise faces a lot better than any human – I kind of put that in the bucket of: any tool that is really useful can also be used for bad things. A hammer, fire, electricity.
That doesn't have so much to do with the tool itself. It has much more to do with the rules and regulations and processes around the tool. I can't really separate AI in that sense. Treat it like any other system. Whenever you install a camera somewhere, with or without AI, that camera is going to see stuff. What are you allowed to do with that information? That's an important question. But I don't think it's different for AI really, in that sense, other than that AI is extremely powerful. So you need to really take that seriously, especially when it comes to things like autonomous weapons and the risk of fraud and fake news.
"An important part of it is just to make it part of the agenda. Let's say you're a recruitment company and you're now going to add some AI help in screening. At least raise the question: we could do this. Do we want to do this? What is the responsible way to do it?"
It's not that hard to come up with reasonable guidelines. Obviously, we shouldn't let the AI decide who we're going to hire or not. That's a bad idea. But maybe it can look at the pile of candidates that we plan to reject and identify some that we should take a second look at. There's nothing to lose from that because that AI did some extra research and found that this person who had a pretty weak CV actually has done amazing things before.
We're actually working with a company now where we're helping them build some AI agents. Our AI agents help them classify CVs – not by "should we hire them or not," but more like which region in Sweden is this, which type of job are we talking about here. Just classifying to make it more likely that this job application reaches the right person. That's work that humans did before with pretty bad accuracy.
The conclusion was that AI, despite having biases like we humans do, seemed to have less biases than the human. Mainly things like it's never going to be in a bad mood because it hasn't had its coffee today. It'll process everybody on the same merits.
I think of it like a peer-to-peer thing. Imagine going to a doctor – ideally, I want to have both a human doctor and an AI doctor side by side, just because they both have biases, but now they can complement each other. It's like having a second opinion. If the AI says we should do this and the doctor says, "No, wait a second," or vice versa, having those two different opinions is super useful.
Parallels Between Agile and AI Transformations
Tenille: You're recognised as one of the leading voices in agile software development. I can see, and I'm interested if you do see, some parallels between the agile transformations that you led at Spotify and Lego with the AI transformations that many businesses are looking at now.
Henrik: I agree. I find that when we help companies transition towards becoming AI native, a lot of the thinking is similar to agile. But I think we can generalise that agile transformations are not really very special either – it's organisational change.
There are some patterns involved regardless of whether you're transitioning towards an agile way of working or towards AI. Some general patterns such as: you've got to get buy-in, it's useful to do the change in an incremental way, balance bottom-up with top-down. There are all these techniques that are useful regardless. But as an agilist, if you have some skills and competence in leading and supporting a change process, then that's going to be really useful also when helping companies understand how to use AI.
Tenille: Are you seeing more top-down or bottom-up when it comes to AI transformations?
Henrik: So far it's quite new still. The jury's not in yet. But so far it looks very familiar to me. I'm seeing both. I'm seeing situations where it's pure top-down where managers are like "we got to go full-out AI," and they push it out with mixed results. And sometimes just completely bottom-up, also with mixed results.
Sometimes something can start completely organically and then totally take hold, or it starts organically and then gets squashed because there was no buy-in higher up. I saw all of that with agile as well. My guess is in most cases the most successful will be when you have a bit of both – support and guidance from the top, but maybe driven from the bottom.
"I think the bottom-up is maybe more important than ever because this technology is so weird and so fast-moving. As a leader, you don't really have a chance if you try to control it – you're going to slow things down to an unacceptable level. People will be learning things that you can't keep up with yourself. So it's better to just enable people to experiment a lot, but then of course provide guidance."
AI for Product Owners: From Ideation to Pull Requests
Tenille: You're very well known for your guidance and for your ability to explain quite complex concepts very simply and clearly. I was looking at your video on YouTube today, the Agile Product Ownership in a Nutshell video, which was uploaded about 12 years ago now. Thinking about product owners, there's a big opportunity now with AI for generating ideas, analysing data, and even suggesting new features. What's your advice for product owners and product managers in using AI most effectively?
Henrik: Use it for everything. Overuse it so you can find the limits. The second thing is: make sure you have access to a good AI model. Don't use the free ones. The difference is really large – like 10x, 100x difference – just in paying like $20 per month or something. At the moment, I can particularly strongly recommend Claude. It's in its own category of awesomeness right now. But that of course changes as they leapfrog each other. But mainly: pay up, use a paid model, and then experiment.
For product owners, typical things are what you already mentioned – ideation, creating good backlog items, splitting a story – but also writing code. I would say as a PO, there is this traditional view, for example in Scrum, that POs should not be coding. There's a reason for that: because coding takes time, and then as PO you get stuck in details and you lose the big picture.
Well, that's not true anymore. There are very many things that used to be time-consuming coding that is basically a five-minute job with a good prompt.
"Instead of wasting the team's time by trying to phrase that as a story, just phrase it as a pull request instead and go to the team and demonstrate your running feature."
That happened actually today. Just now, our CEO, who's not a coder, came to me with a pull request. In fact, quite often he just pushes directly to a branch because it's small changes. He wants to add some new visualisation for a graph or something in our platform – typically admin stuff that users won't see, so it's quite harmless if he gets it wrong.
He's vibe coding, just making little changes to the admin, which means he never goes to my team and says, "Hey, can you guys generate this report or this graph for how users use our product?" No, he just puts it in himself if it's simple.
Today we wanted to make a change with how we handle payments for enterprise customers. Getting that wrong is a little more serious, and the change wasn't that hard, but he just didn't feel completely comfortable pushing it himself. So he just made a PR instead, and then we spent 15 minutes reviewing it. I said it was fine, so we pushed it.
It's so refreshing that now anybody can code. You just need to learn the basic prompting and these tools. And then that saves time for the developers to do the more heavyweight coding.
Tenille: It's an interesting world where we can have things set up where anyone could just jump in and with the right guardrails create something. It makes Friday demos quite probably a lot more interesting than maybe they used to be in the past.
Henrik: I would like to challenge any development team to let their stakeholders push code, and then find out whatever's stopping you from doing that and fix that. Then you get to a very interesting space.
Closing the Gap Between Makers and Users
Tenille: A key insight from your work with agile teams in the past has been to really focus on minimising that gap between maker and user. Do you think that AI helps to close that gap, or do you think it potentially risks widening it if teams are focusing too much on AI predictions and stop talking to their customers effectively?
Henrik: I think that of course depends a lot on the team. But from what I've seen so far, it massively reduces the gap. Because if I don't have to spend a week getting a feature to work, I can spend an hour instead. Then I have so much more time to talk to my users and my customers.
If the time to make a clickable prototype or something is a few seconds, then I can do it live in real time with my customers, and we can co-create. There are all these opportunities.
I find that – myself, my teams, and the people I work with – we work a lot more closely with our users and customers because of this fast turnaround time.
"Just yesterday I was teaching a course, and I was going home sitting on the subway. It was a 15-minute subway ride. I finally got a seat, so I had only 7 minutes left. There's this feature that I wanted to build that involved both front-end and back-end and a database schema change. Well, 5 minutes later it was done and I got off the subway and just pushed it. That's crazy."
Of course, our system is set up optimised to enable it to be that fast. And of course not everything will work that well. But every time it does, I've been coding for 30 years, and I feel like I wake up in some weird fantasy every day, wondering, "Can I really be this productive?" I never would have thought that was possible.
Looking Ahead: The Future of Agile Teams
Tenille: I'd like you to put your futurist hat on for a moment. How do you see the future of agile teamwork in, say, 10 to 15 years time? If we would have this conversation again in 2035, given the exponential growth of AI and improvements over the last two to three years, what do you think would be the biggest change for software development teams in how they operate?
Henrik: I can't even imagine 10 years. Even 5 years is just beyond imagination. That's like asking someone in the 1920s to imagine smartphones and the Internet. I think that's the level of change we're looking at.
I would shorten the time a little bit and say maybe 3 or 4 years. My guess there – and I'm already seeing this transfer happen – is that coding will just go away. It just won't be stuff that we humans do because we're too slow and we hallucinate way too much.
But I think engineering and the developer role will still be there, just that we don't type lines of code – in the same way that we no longer make punch cards or we no longer write machine code and poke values into registers using assembly language. That used to be a big part of it, but no longer.
"In the future, as developers, a lot of the work will still be the same. You're still designing stuff, you're thinking about architecture, you're interacting with customers, and you're doing all the other stuff. But typing lines of code is something that we're gonna be telling our kids about, and they're not gonna believe that we used to do that."
The other thing is smaller teams, which I'm already seeing now. I think the idea of a cross-functional team of 5 to 7 people – traditionally that was considered quite necessary in order to have all the different skills needed to deliver a feature in a product. But that's not the case anymore. If you skip ahead 2 or 3 years when this knowledge has spread, I think most teams will be 2 people and an AI, because then you have all the domain knowledge you need, probably.
As a consequence of that, we'll just have more teams. More and smaller teams. Of course, then you need to collaborate between the teams, so cross-team synchronisation is still going to be an issue.
Also, I'm already seeing this now, but this concept of sprints – the whole point is to give a team some peace of mind to build something complex, because typically you would need a week or two to build something complex. But now, when it takes a day and some good prompting to do the same thing that would have taken a whole sprint, then the sprint is a day instead. If the sprint is a day, is there any difference between a sprint planning meeting and a daily standup? Not really.
I think sprints will just kind of shrink into oblivion. What's going to be left instead is something a little bit similar – some kind of synchronisation point or follow-up point. Instead of a sprint where every 2 weeks we sit down and try to make a plan, I think it'll be very much continuous delivery on a day-to-day basis. But then maybe every week or two we take a step back and just reflect a little bit and say, "Okay, what have we been delivering the past couple of weeks? What have we been learning? What's our high-level focus for the next couple of weeks?" A very, very lightweight equivalent of a sprint.
I feel pretty confident about that guess because personally, we are already there with my team, and I think it'll become a bit of a norm.
Final Thoughts: Preparing for the Future
Henrik: No one knows what's gonna happen in the future, and those who say they do are kidding themselves. But there's one fairly safe bet though: no matter what happens in the future with AI, if you understand how to use it, you'll be in a better position to deal with whatever that is. That's why I encourage people to get comfortable with it, get used to using it.
Tenille: I have a teenage daughter who I'm actually trying to encourage to learn how to use AI, because I feel like when I was her age, the Internet was the thing that was sort of coming mainstream. It completely changed the way we live. Everything is online now. And I feel like AI is that piece for her.
Henrik: Isn't it weird that the generation of small children growing up now are going to consider this to be normal and obvious? They'll be the AI natives. They'll be like, "Of course I have my AI agent buddy. There's nothing weird about that at all."
Tenille: I'll still keep being nice to my coffee machine.
Henrik: Yeah, that's good. Just in case, you know.
---
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.
- Podcast
Easy Agile Podcast Ep.24 Renae Craven, Agile Coach on team alignment and taking a leap out of your comfort zone.
"I had an inspiring conversation with Renae around the benefits of leaping out of your comfort zone and aligning team behaviour " - Chloe Hall
Chloe Hall- Marketing Coordinator at Easy Agile is joined by Renae Craven - Agile Coach, Agile Trainer, Scrum Master Coach and QLD Chapter Local Leader at Women in Agile.
Join Renae Craven and Chloe Hall as they discuss:
- Renae’s journey to becoming an Agile Coach and Agile Trainer
- Taking a leap out of your comfort zone
- The importance of taking time to gather feedback and reflect
- Building a team environment where everyone feels safe to contribute
- Aligning team behaviour and how prioritising learning impacts team delivery
- Why sitting all day is bad for you and how to bring movement into your work routine
- + more
Transcript
Chloe Hall:
Hello and welcome back to the Easy Agile Podcast. I'm Chloe, Marketing coordinator at Easy Agile, and I'll be your host for today's episode. Before we begin, we'd like to acknowledge the traditional custodians of the land from which we broadcast today, the people of the Dhuwal speaking country. We pay our respects to elders past, present, and emerging, and extend that same respect to all Aboriginal Torres Strait Islanders and First Nations people joining us today. Today we have a very exciting episode for you. We will be speaking to Renae Craven. Renae is an Agile coach, Agile trainer, scrum master coach, BASI Pilates instructor, and runs her own Pilate Studio.
Renee is also a chapter local leader at Women in Agile Brisbane and is the host of the podcast The Leader's Playlist alongside David Clifford. Renae's passion in life is to help people to be a better version of themselves by raising your awareness of areas they wish or need to improve them and to support them in their learning and growth through these areas. According to Renae, coaching is not about telling people what to do. It is about questions to allow them to dig deeper, uncovering realizations and their desire for change. Welcome to the podcast, Renae. Thank you so much for coming today. Really appreciate it and very excited to unpack your story, your journey, and all the success you have achieved, which is amazing. How are you today anyways?
Renae Craven:
I'm all, I'm good. Thank you, Chloe. It's Friday, so I'm always a bit wrecked on a Friday. Looking forward to sleeping in on the weekends and things like that. So yeah, Friday I'm already, always a little bit dreary, but other than that I'm fine.
Chloe Hall:
Well, that's good. Friday afternoon definitely can always do that to you. I'm very pumped for a sleep in as well. I think let's just get straight into it. So some of that I wanted to start was I just want to unpack you as a person, Renae, and kind of your story, who is Renae and the journey you've taken to become so successful today. So if you wanted to provide a little bit of background about yourself.
Renae Craven:
How far back do I go? So I did IT at uni, Information Technology at uni. So I started my career out as a graduate developer, software developer, pretty crap one at that.
Chloe Hall:
Surely not, I don't agree with that. I can't see it.
Renae Craven:
I knew enough to get by, but it was definitely not going to be something that I was going to do for the rest of my life. But back then I was 20 and kind of just was doing things that you were supposed to do when you grow up. You're supposed to go to school and you're supposed to do well in grade 12 and go to uni and get a degree and then get a job.
Chloe Hall:
Definitely.
Renae Craven:So yeah, I ticked all those boxes and found myself with a degree in a job in a good organization. And I was in that development job for a couple of years and then I kind of moved more into team leadership and I was a team leader for a while and then I became a scrum master back in 2010. So that was when I discovered Agile.
Chloe Hall:
Okay. Yup.
Renae Craven:
And I think the rest is kind of history. So when I discovered Agile, things started to make more sense to me. Talking to people, having teams, working together, collaborating together, solving problems together, getting multiple brains onto a problem. That kind of thing was one thing that I never made sense to me when I was a grad straight out of uni. And I'm like, "What do you mean?" Because even during my university, I was a little bit different and I was remote. I did university remotely years ago and with a group of four others, there were four others, it was a group of five. We did everything together, we did all our group assignments, we studied together, we ate lunch together, we just kind of did.
Chloe Hall:
So with the exact same group?
Renae Craven:
Yeah. All the way through uni. I went from that kind of group setting to working and more of an individual on my own like if I've sat in a cubicle with walls that were higher than me, I didn't have to speak to anyone else if I didn't want to. And that never really sat well with me. It was never kind of who I was. So when Agile was, Scrum specifically was here's all these people we're going to throw together in a team and here's all of the problems and you work out together how you're going to solve it.
Someone's not going to tell you what to do or how to solve it, you've got to figure it out as a team, it was a much more, cool this is what makes sense, this works better. Why wasn't it always like this? So yeah, that's kind of where my Agile journey started and it kind of progressed as I did scrum mastering for quite a few years in different organizations, different scenarios, different contexts. And then I guess I was able to comfortably call myself an Agile coach I would say maybe 5, 6 years ago. I mean, there's nothing really that you can do that you go tick, Oh, I'm an Agile coach now.
Chloe Hall:
There's no kind of straightforward degree or certification.
Renae Craven:
No, it's really just experience. And I had experience around and people were telling me, "You can call yourself a coach, an Agile coach now, you've got plenty of experience". I'm like, "Yeah, but I feel like there's so much more that I need to know or that I could learn". So I don't really feel comfortable. But I was working for a consultancy, so that was just how I was being marketed anyway. So that was kind of 5, 6, 7 years ago that that started to happen. And then I do other things as well, like Agile training. I love training people, I run training courses, do the coaching as well. And then I've got my Pilates as well.
Chloe Hall:Just an all rounder, a lot going on, that's for sure. I think as well, I just want to unpack, you had that transition when you were a graduate developer and you found it quite isolating. And then you came into this concept of Agile when you are working in teams. Was it when you started doing that Agile, did that kind of spike like a passion, a purpose of yours and that's what led you down that Agile training, Agile coaching road?
Renae Craven:
I think, I mean purpose, I still don't know if I know what my purpose is in life. Passion. I think what it helped me understand about myself is where some of my strengths were. And my strengths aligned with what was needed to be a scrum master and a coach later on. So the ability to facilitate, that's a big part of being a scrum master, a big part of being one of the key things about being a coach. And that was just something that I was kind of naturally able to do, but I didn't know until I started doing it, if that kind of makes sense.
Chloe Hall:
Yeah. I feel like, isn't that always the way, It's like you don't know something or you don't really know your strengths until you just step into it. You've really got to get out of your comfort zone and just try new things, experience new things. Otherwise, you're never going to know.
Renae Craven:
Yeah, exactly. So yeah, can't trying to create that equal participation in a room or in a workshop from a facilitation and facilitating a group of people from different walks of life to an outcome and just letting it kind of flow and let the conversations flow. But still, you've got to get to this outcome by the end of the day or end of the workshop. That was something that I was naturally able to do. And I mean, my first workshop, how I facilitated that, I don't even remember what it was, but I'm sure how I facilitate now is very, very different. But it was still something that I loved doing, that I enjoyed doing. And the training part of it, it's funny because at school I used to hate public speaking. I used to hate.
Chloe Hall:
You sound like me.
Renae Craven:
Yeah. All of that, how I used to get up in English and do an oral exam and things like that. I hated all of that stuff. I was very happy to just hide in the background and never answer a question or never cause any trouble or be disruptive or whatever. Except in maths class I was a little bit disruptive in math class.
Chloe Hall:
I am resonating so much with you right now because I was literally the exact same. And I've always had a bit of a passion for math. So in maths I was super outgoing, would ask so many questions. But in English my biggest fear was public speaking. I just could not stand up for the life of me. It was the worst. I was always so nervous, everything about it. And I think that's really interesting to see how far you've come today from what you thought back then. Was there any type of practices, lots of work that you had to do on yourself to get to this point today?
Renae Craven:I think similar to what you said before, you got to get out of your comfort zone. And I think, especially early on in my career, that being pushed out of my comfort zone. There's a few leaders that I was working for at the time that, well a handful of people that over the years have pushed me out of my comfort zone. And in the earlier days where I wouldn't have done that for myself. So doing that for me or I didn't really have a choice because I was a good girl and I followed orders back then. It was just something that I went, "Oh okay, well that's cool". I'm glad in hindsight, I'm glad he did that because I wouldn't be where I am right now if I wasn't thrown into the pilot team, the pilot agile team. So yeah, there's things like that where I've been pushed into my comfort zone and just had a go and found out that, oh, it wasn't so bad after all.
Maybe I could do that again. And then you start to build your own kind of resilience, you go, well I've did this before so that's not much harder. I reckon I could do that. Or it's kind of thinking about it like that, but it's also changing. It was shifting my mindset to be you've got to get out of your comfort zone, you've got to screw up to learn. The way that it was at school where you got rewarded for being correct, you got rewarded for doing the right thing. And that's not how I learn. That's not how a lot of people learn. You have to screw up to then go.
Chloe Hall:
Definitely.
Renae Craven:
Okay, well next time I do that I'll do this instead.
Chloe Hall:
Yeah, definitely.
Renae Craven:
Or getting that feedback of how you did this, well next time maybe you could do this or whatever it is. Just getting that feedback. Whereas, I never got any of that at school. It was always Renae's perfect angel child, whatever it was.
Chloe Hall:
Still, nice though, but yeah.
Renae Craven:
Nice for the parents. Can we have more of Renae's in our class, nice for mom and dad. But in hindsight, it didn't really do much for setting me up for how.
Chloe Hall:
For reality.
Renae Craven:
Yeah
Chloe Hall:Really.
Renae Craven:
Exactly.
Chloe Hall:
Especially because I've recently gone through that transition from graduating uni into a full time job and working for Easy Agile, I'm always being pushed out of my comfort zone in a good way. Everyone's so supportive, they're always like, "Oh Chloe, try this, try that". And I'm just like, "okay, yep, I can do it". And if it doesn't go amazingly well that's okay. I've learned something and I can do it better next time.
Renae Craven:
Yeah.
Chloe Hall:
You can't just sit in your comfort zone forever, you don't get that feeling of when you do something outside of your comfort zone, you just feel so good after and you're like, oh, prove to myself I can do this.
Renae Craven:
Yep. And I think the big part of that is acknowledging the learning is sitting down. So one of the things we do, I do as a coach is one of the key times for a team or an individual to learn is to actually sit down and reflect back and then what was good, what was bad, and what am I going to do differently the next time. And I coach teams to do that, but I have to do that myself as well. So kind of realizing that as a practice, that's something that I have to do is sit down and when I do these things I would need to gather feedback and then I have to sit down and reflect on how it went. What I think I can do better or do differently the next time around I do something like this so that I am also myself improving in the things that I do. So it's really having that time and that practice to learn to sit down and what did I learn?
Chloe Hall:
Yeah, I do. And I agree with that. You need to take the time to understand, reflect, realize what you have learnt. Otherwise, life is so busy and you just keep going and going and going and you can just completely forget and it's good to take that moment. I really like how that's something that you do in your Agile coaching as well. What else do you do when you're coaching teams? What other elements are there?
Renae Craven:
Some of the stuff I've already spoken about, having that equal, trying to get that equal participation, equal voice. Trying to, the buzzword is psychological safety, but trying to make, trying to build an environment for a team where everyone feels safe to ask a question or to voice their opinion or whatever it is. And when we've come from, as a coach, what we're doing is usually coaching teams, people, organizations, through a shift from a certain way of working to an Agile way of working. And that means that the whole telling people what to do and when to do it and how to do it is gone. That's gone. And now you want to build that capability within the team itself. So creating that safe space so that the
team can ask questions and understand what they have to do so that they can collectively deliver something as opposed to someone just telling them what to do.So it's using your brain, using the collective group brain as well, instead of just having, not using your brain really, just waiting to be told what to do and then you'll know what to do, you just do it. But collectively solving a problem together as a team and then figuring out as a team how we're going to solve that or how are we going to deliver that is something that is quite, that's the bit I love as a coach, working with teams, building that kind of environment where they do feel safe to ask the dumb questions and things like that.
Chloe Hall:
And not have to be like, I think this is a silly question, but you definitely want to remove that.
Renae Craven:
And I think the other part is the learning still, it's exactly the same. It's taking the focus, trying to get the focus off, we must deliver and then we'll do some learning stuff if we get time trying to flip that around so that your, "No, no, no, you need to learn in order to get better at delivery". So take that focus, because a lot of teams will just say, we've got all these deadlines, all of this delivery pressure, we have to get this stuff done. We don't have time to sit down and think about what we've learned or how we can get better as a team. They're never going to get better as a team if they just keep in this endless delivery cycle. Making the same kind of time wasting things over and over and over again. So it's kind of flipping the mindsets of the teams as well to go, "No, hang on, we need to do this otherwise we're not going to get better as a team".
Chloe Hall:
Yeah, definitely. And I think that's where the Agile retrospective fits in perfectly. And I know I actually just came out of my retrospective with my team and we do that weekly and it's so good to come out of that with action items too. And it's like, okay, next week this is how we're going to get better. This is how we're going to advance, this is our focus and there's also no hidden problems because it comes up every Friday, we talk about it. So you're not going into Monday the next week with a grudge or you're annoyed about something with the workflow of the team. You've addressed it, you've left it in the last week, you've brought the action with you obviously, and hopefully it's going to get better from there.
Renae Craven:
Yeah, absolutely. And that's the key. It's the whatever we've decided in our retrospective of what we're going to do differently, we're doing that differently the next day or Monday in your case. It's not something we talk about and then we just kind of ignore it and we just talk about it again in two weeks time or whatever it is. It's the putting into practice the decisions you make as a team and those retrospectives all of the time. They're not massive actions either. They're just little tweaks here and there.
Chloe Hall:
Yeah, there's small things.
Renae Craven:
They just kind of build up over time.Chloe Hall:
And that's the thing, it's like if you do it on a regular occurrence, they are small things, but if you are not doing it regularly, then that's when they build up and they become big things, big problems and massive blockers within the team as well.
Renae Craven:
Yeah, absolutely.
Chloe Hall:
Yeah. So I'm wondering too, Renae, when you do your Agile coaching and your Agile training, so you do that on an individual basis as well as teams. Do you think there's an aspect of the mindset, the agile mindset there, and does each individual need to come to work with that agile mindset for the team to be able to flow better?
Renae Craven:
Mindsets. If everyone had the same mindset then it would be robots or.
Chloe Hall:
True.
Renae Craven:
The world would be very boring.
Chloe Hall:
Very good point.
Renae Craven:
I think that's a bit, for me when I think about a team, an agile team, as long as there's some alignment on how the team behaves, why they exist, what their purpose is and how they treat each other and how they solve problems together, then the mindsets of the individuals within that team, they can be different. And that's fine as long as there's that agreement amongst everyone of this is how we are going to behave. I come up against people all the time who have been forced to work in this agile way. So their mindset's definitely not in the mindset that you need for an agile team, but if they're in an agile team and there's people in that team that have got the mindset or the behaviors that you need to have in order to deliver in an agile way, over time it kind of balances out.
And over time those the mindsets will start to shift as well as they see how other people in their team are behaving, how their leaders are behaving, things like that. So I kind of always think of it as more of a behavioral thing than a mindset thing. How do we make decisions, like I said, how do we treat each other, how do we approach problems, who are our customers, all of that sort of stuff. It's more that behavior that I like to, instead of me thinking, oh, they don't have the mindset, they don't have the mindset, I just kind of look at how they behave. Because at the end of the day, you can't force that
mindset. But as a team, when they start humming to working together as a team, they're going to be delivering what they need to deliver. And they all just, that's the whole cross-functional part of it. You're bringing together different minds, different backgrounds, different experiences, different skills, all of that stuff.Chloe Hall:
Definitely.
Renae Craven:
You're putting them in a team together so that they can use their skills. They're all those different pieces to solve these problems.
Chloe Hall:
Yeah, no, definitely. I think the way people behave, it has a lot to do with it as well. And I think on that too, you can be in the right type of mindset, you can behave in the right way. And that has a lot to do with the way you're showing up at work as well. It's the way you come to work. If you're had a bad morning, then that's going to impact how you are that day. Or if you've waking up that morning and you have kind of a set morning routine that gets you into that good routine for the day, that good mindset and behavior, then it can help a lot. And I think as well, this is something I'd love to chat to you about too, because you've got the background of Pilates, you're in your own studio and you've been a instructor for how many years now?
Renae Craven:
It'll be a year and a half since I qualified.
Chloe Hall:
Yeah. Nice. Yeah, so I'm also an instructor. I've been teaching I think for about six months now. But I'm just wondering too, so you've got your two passions, Pilates studio owner and then also an Agile coach. Is there that element of setting yourself up for the day in the morning, do you think if someone, they meditate have the type of morning routine they exercise, can they behave better at work essentially? What are your thoughts on that?
Renae Craven:
Yeah, I think definitely the better you feel in yourself or the way feel within yourself, definitely has a direct correlation to how you come across how you behave at work. So yeah, if you've had a rushed morning or a traffic was crap on the way to work or whatever it is, then definitely you're going to be quite wound up by the time you get to work.
Chloe Hall:
Yeah, definitely.
Renae Craven:
It's going to impact the way that you respond to questions or respond to people or respond to your team or whatever it is. Yeah, absolutely. But myself, I don't really have a set routine in the morning. I go to gym but I don't go to gym every day. But the mornings that I do go to gym, I never feel like going because no, I just want to sleep.Chloe Hall:
It's early. Yeah.
Renae Craven:
Yeah. But I have to go in the morning or I won't go to gym. Gym's something that, it's a bit of a love hate relationship. I know I have to do it, but I don't like doing it.
Chloe Hall:
Not even after? That feeling after?
Renae Craven:
Afterwards is good. It was like, but from, oh thank God that's done.
Chloe Hall:
Yeah.
Renae Craven:
Tick I'm done for the day.
Chloe Hall:
Out of the way.
Renae Craven:
If it was in the afternoon, if I went to gym in the afternoon I wouldn't go. It would just be, "Nah, it's too hard or I can't be bothered, I'm too tired". So getting up first thing in the morning, I set my alarm 15 minutes before my gym class starts.
Chloe Hall:
Wow. That is effort.
Renae Craven:
I know.
Chloe Hall:
That is good.
Renae Craven:
I race to get there but I have all my clothes set out the night before so I don't even have to think. I just get out of bed, I put my clothes on and I get in the car and I drive to the gym and.
Chloe Hall:
I do the same thing.
Renae Craven:
I do my class, I haven't had time to talk myself out of it just yet. But afterwards it's like, oh yes, excellent. That's done for the day. And yeah, it is nice to know that you have done that for the day as you start your work day as well. So on my gym days, that's probably my routine to get myself ready for work. But other days they're a little bit more relaxed I guess. I think if anything having a coffee is my, I cannot deal with the world without coffee. So whether I'm at home or I'm in the office, the first thing I'll do is if I get to the office I'll get a coffee on the way in. So I'm drinking coffee as I walk into the office. So yeah, I guess that you could call that my routine.
Chloe Hall:
No, I think a lot of people, a lot of listeners as well will be able to resonate with that. And I used to be like that and then it just, coffee wasn't sitting well with me. I found it was just really triggering my nerves for the day and everything. So it was so hard. I went from drinking two to three coffees a day to getting off it and now I'll drink like a matcha instead. But that was such a big part of my morning routine as well and getting off it was one of the hardest things I've had to do.
Renae Craven:
Yeah, I did that once. I detoxed for one of those health retreat things years and years ago and I had to detox off coffee and everything actually.
Chloe Hall:
Oh really?
Renae Craven:
Before two weeks leading up to it and yeah, coffee was hard.
Chloe Hall:
Yes.
Renae Craven:
Very, very hard. Because I love the taste of my coffee. I just have it straight, I don't have any milk so I love the taste of my coffee.
Chloe Hall:
Yeah, wow. Okay.
Renae Craven:
But maybe it's also the other benefits of not wanting to kill people that coffee does to me as well. I can deal with the world now. I've had my coffee.Chloe Hall:
You're like okay, all right. Who needs coaching now? Who needs training? And I'm ready to rock and roll.
Renae Craven:
Yeah, I'm good now.
Chloe Hall:
Yeah. Nice. Yeah. Well the reason as well why I wanted to talk about the whole exercise correlation with work was because I did read your article on LinkedIn about what sitting all day is doing to your body and you're saying how Pilates can help with that. The section that I think resonated really well with me was when you said, when COVID-19 shut down the world and confined everyone working from home, those people who were working in the office environments, you found yourself sitting bent over a PC at home all day and it's back to back virtual meetings, you don't really have that chance to get up, have a break, go for a walk around and everything. And I think, I'm sure a lot of our listeners will be in that reality and even after COVID it is still the case. So I think just for the sake of everyone listening, is there any tips or anything to get you up, get you moving so you're not experiencing that on the daily.
Renae Craven:
I think the other difference is before COVID, sure you were sitting at your desk all day at work but you are also walking to the office and walking to meetings and walking to the kitchen and walking to go and buy your lunch and things like that. And you weren't kind of back to back meetings either. So you had that chance and if you were walking from room to room so you were getting up. Whereas at home it's just back to back meetings and I don't know about you but I run to go to the bathroom in between meetings.
Chloe Hall:
Yeah. I do. I actually do. Yesterday actually bit triggered by that.
Renae Craven:
I did that too yesterday actually. And even at the height of COVID, the back to back meetings were so bad. I didn't even have a lunch break. I was working, I was making my lunch in meetings and daylight saving as well. It always throws things because Queensland stays where they are and it throws everything out so. So in my article actually, it was more of a paper that I had to submit as part of my instructor course.
Chloe Hall:
Oh cool. Yeah.
Renae Craven:
And as well as my 600 hours of practice and.
Chloe Hall:Yeah. I can relate, I didn't have to do the article though.
Renae Craven:
So I kind of just pulled bits out of that and because I thought this is still relevant and maybe it will resonate with people and especially the people that I'm linked, LinkedIn is the audience, right? So that just things that happen from sitting, sitting down's bad for you, full stop. Where you're working or sitting on a couch all day, whatever it is, sitting down's bad for you. And the longer you sit, the more kind of slouched you get. The more your spine is always kind of in the rounded state, the less you are using your back muscles, your back extensors, the more you're sitting down your pelvis, your hip flexes are shortening because you're always sitting down and that kind of tightens your lower back. And then you've got your, even just using your mouse, you've got that shoulder that's doing extra stuff or backwards and forward stuff constantly. And then your neck as well and your traps, everything gets kind of tight.
So things that you can do. I wrote a, my article's got an example class plan to undo the effects of sitting down all day in an office job. But that class plan uses all of the apparatus. So there's things you can do on the mat or the reformer or the Cadillac or under chair. But I run a few online classes after work and they started during COVID and they're still going. And I designed those specifically to undo, I know those people have been sitting down all day. So my classes are very much unraveling everything that they've done the all day.
Chloe Hall:
The body.
Renae Craven:
I mean my classes, my math classes anyway, they're usually focused around, I mean tips for people not actually coming to a class but undoing, you're doing the opposite of what you've been doing all day. So if you sit all day, stand up, walk around, at least listen to your smart watch when it tells you take a break. Stand up and take a break. And walk out to the letter box and get some sunshine at the same time, if you're lucky there's not much suns around these days.
Chloe Hall:
If it's out, make a run for it.
Renae Craven:
Doing kind of shoulder rolls and neck stretches and hip flexors stretches so that you, like I said, just undoing, doing the opposite of what you do when you're sitting. So think about the muscles or the tendons or whatever they're, even if you're not familiar with what they are, you know there's some at the front of your hip. And when you're sitting you can imagine that they're not being used, they're just being stuck there. So straighten them. Stretch them. If you're rounded all the time in your spine, then press roll your shoulders back, press your chest for and use your back muscles. And I don't even know if people are that familiar with back extensors. I don't know if people understand that. Because you've got your spine and then you've got these muscles that they're twisted that run either side of your spine. I can't remember the scientific name for them right now.
Chloe Hall:No. Me neither.
Renae Craven:
We just call them back extensors. And when you straighten in your spine, they're working and you're switching them on. It's just working your bicep, strengthening that muscle when you straighten your spine and you can even go past straight and go kind of backwards. You are using those back muscles and you're strengthening those back muscles and it'll stop you being like a rounded.
Chloe Hall:
Yeah, just bent over in the computer all day.
Renae Craven:
Hunched over.
Chloe Hall:
Yeah. That's it. You don't want that.
Renae Craven:
So it's really just doing the opposite or yeah. Joining online classes. I can put you through some exercises.
Chloe Hall:
Yeah, well we'll definitely share that article as well with this podcast so people can see that program or might be something that helps. For me at work we're very fortunate that we have a standing desk and I think that that is just so amazing. Because if I work from home, I don't have a standing desk and I can feel the difference. My body just feels, you just don't feel right and I feel more fatigued and yeah, I just need to get up and move more often.
Renae Craven:
Yeah. If you stand all day, it's the same thing. You've got to sit as well. You've still got to do the opposite. Standing is like, because you can get slouch when you stand as well, so you can still over time get tired and kind of slouch over or you're still kind of tense in your shoulders and things like that. So you can kind of need to still be aware of your posture when you're standing and just self-correct or still go for walks, still give everything a chance to move the way it's supposed to move not stand still all day.
Chloe Hall:
Yeah, definitely. On that, Renae. Yeah. Thank you so much for coming on the podcast today. Really enjoyed this chat with you. I think there's a lot that our listers will get out of it and I definitely want to continue more of this Pilates conversation too.
Renae Craven:
Thank you Chloe. Thanks for having me.
Chloe Hall:No worries, thank you.



