Easy Agile Podcast Ep.17 Defining a product manager: The idea of a shared brain

"It was great to chat with Alana and learn from her experience" - Sean Blake

In this episode, I was joined by Alana Mai Mitchell. Alana is a results coach, author, podcast host, and Senior Product Development Manager at one of Australia's largest banks where she works with Agile teams every day.

She has over 13 years experience in digital financial services and coaching. She's spoken live on Channel 10 here in the Australian media and has had her mental health story featured in publications, like The Daily Mail and Mamma Mia. She's the author of a book, Being Brave, and she's the host of the Eastern Influenced Corporate Leader Podcast.

We covered a lot of ground in today's episode. We talked about:

• The importance of putting your hand up and telling your manager when you want to be challenged more and to be exposed to new opportunities.
• Building trust with your team and disclosing some vulnerabilities about yourself.
• Alana's mental health journey over the course of six years, and that journey continues today. What she's learned and what we can learn from her experience to better look after our teams and people in our community.
• Servant leadership and being a generous leader.
• The importance of authenticity and direct communication.

I hope you enjoyed today's episode as much as I did.

Transcript

Sean Blake:

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

Sean Blake:

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

Alana Mai Mitchell:

Thanks so much, Sean.

Sean Blake:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

You're welcome.

Sean Blake:

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

Alana Mai Mitchell:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Sean Blake:

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

Alana Mai Mitchell:

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

Sean Blake:

Thanks, Alana.

TL;DR

Henrik Kniberg, the agile coach behind Spotify's model, discusses how AI is fundamentally transforming software development. Key takeaways: AI tools like Cursor and Claude are enabling 10x productivity gains; teams should give developers access to paid AI tools and encourage experimentation; coding will largely disappear as a manual task within 3–4 years; teams will shrink to 2 people plus AI; sprints will become obsolete in favour of continuous delivery; product owners can now write code via AI, creating pull requests instead of user stories; the key is treating AI like a brilliant intern – when it fails, the problem is usually your prompt or code structure, not the AI. Bottom line: Learn to use AI now, or risk being left behind in a rapidly changing landscape.

Introduction

Artificial intelligence is fundamentally reshaping how software teams work, collaborate, and deliver value. But with this transformation comes questions: How do we maintain team morale when people fear being replaced? What happens to code quality when AI writes most of the code? Do traditional agile practices like sprints still make sense?

In this episode, I sit down with Henrik Kniberg to tackle these questions head-on. Henrik is uniquely positioned to guide us through this transition – he's the agile coach and entrepreneur who pioneered the famous Spotify model and helped transform how Lego approached agile development. Now, as co-founder of Abundly AI, he's at the forefront of helping teams integrate AI into their product development workflows.

This conversation goes deep into the practical realities of AI-powered development: from maintaining code review processes when productivity increases 10x, to ethical considerations around AI usage, to what cross-functional teams will look like in just a few years. Henrik doesn't just theorise – he shares real examples from his own team, where their CEO (a non-coder) regularly submits pull requests, and where features that once took a sprint can now be built during a 7-minute subway ride.

Whether you're a developer wondering if AI will replace you, a product owner looking to leverage these tools, or a leader trying to navigate this transformation, this episode offers concrete, actionable insights for thriving in the AI era.

About Our Guest

Henrik Kniberg is an agile coach, author, and entrepreneur whose work has shaped how thousands of organisations approach software development. He's best known for creating the Spotify model – the squad-based organisational structure that revolutionised how large tech companies scale agile practices. His work at Spotify and later at Lego helped demonstrate how agile methodologies could work at enterprise scale whilst maintaining team autonomy and innovation.

Henrik's educational videos have become legendary in the agile community. His "Agile Product Ownership in a Nutshell" video, created over a decade ago, remains one of the most-watched and shared resources for understanding product ownership, with millions of views. His ability to distil complex concepts into simple, visual explanations has made him one of the most accessible voices in agile education.

More recently, Henrik has turned his attention to the intersection of AI and product development. As co-founder of Abundly AI, he's moved from teaching about agile transformation to leading AI transformation – helping companies and teams understand how to effectively integrate generative AI tools into their development workflows. His approach combines his deep understanding of team dynamics and agile principles with hands-on experience using cutting-edge AI tools like Claude, Cursor, and GitHub Copilot.

Henrik codes daily using AI and has been doing so for over two and a half years, giving him practical, lived experience with these tools that goes beyond theoretical understanding. He creates educational content about AI, trains teams on effective AI usage, and consults with organisations navigating their own AI transformations. His perspective is particularly valuable because he views AI through the lens of organisational change management – recognising that successful AI adoption isn't just about the technology, it's about people, culture, and process.

Based in Stockholm, Sweden, Henrik continues to push the boundaries of what's possible when human creativity and AI capabilities combine, whilst maintaining a pragmatic, human-centred approach to technological change.

Transcript

Note: This transcript has been lightly edited for clarity and readability.

Maintaining Team Morale and Motivation in the AI Era

Tenille Hoppo: Hi there, team, and welcome to this new episode of the Easy Agile Podcast. My name is Tenille Hoppo, and I'm feeling really quite lucky to have an opportunity to chat today with our guest, Henrik Kniberg.

Henrik is an agile coach, author, and entrepreneur known for pioneering agile practices at companies like Spotify and Lego, and more recently for his thought leadership in applying AI to product development. Henrik co-founded Abundly AI, and when he isn't making excellent videos to help us all understand AI, he is focused on the practical application of generative AI in product development and training teams to use these technologies effectively.

Drawing on his extensive experience in agile methodologies and team coaching, Henrik seems the perfect person to learn from when thinking about the intersection of AI, product development, and effective team dynamics. So a very warm welcome to you, Henrik.

Henrik Kniberg: Thank you very much. It's good to be here.

Tenille: I think most people would agree that motivated people do better work. So I'd like to start today by touching on the very human element of this discussion and helping people maintain momentum and motivation when they may be feeling some concern or uncertainty about the upheaval that AI might represent for them in their role.

What would you suggest that leaders do to encourage the use of AI in ways that increase team morale and creativity rather than risking people feeling quite concerned or even potentially replaced?

Henrik: There are kind of two sides to the coin. There's one side that says, "Oh, AI is gonna take my job, and I'm gonna get fired." And the other side says, "Oh, AI is going to give me superpowers and give us all superpowers, and thereby give us better job security than we had before."

I think it's important to press on the second point from a leader's perspective. Pitch it as this is a tool, and we are entering a world where this tool is a crucial tool to understand how to use – in a similar way that everyone uses the Internet. We consider it obvious that you need to know how to use the Internet. If you don't know how to use the Internet, it's going to be hard.

"I encourage people to experiment, give them access to the tools to do so, and encourage sharing. And don't start firing people because they get productive."

I also find that people tend to get a little bit less scared once they learn to use it. It becomes less scary. It's like if you're worried there's a monster under your bed, maybe look under your bed and turn on the lights. Maybe there wasn't a monster there, or maybe it was there but it was kind of cute and just wanted a hug.

Creating a Culture of Safe Experimentation

Tenille: I've read that you encourage experimentation with AI through learning – I agree it's the best way to learn. What would you encourage leaders and team leaders to do to create a strong culture where teams feel safe to experiment?

Henrik: There are some things. One is pretty basic: just give people access to good AI tools. And that's quite hard in some large organisations because there are all kinds of resistance – compliance issues, data security issues. Are we allowed to use ChatGPT or Claude? Where is our data going? There are all these scary things that make companies either hesitate or outright try to stop people.

Start at that hygiene level. Address those impediments and solve them. When the Internet came, it was really scary to connect your computer to the Internet. But now we all do it, and you kind of have to, or you don't get any work done. We're at this similar moment now.

"Ironically, when companies are too strict about restricting people, then what people tend to do is just use shadow AI – they use it on their own in private or in secret, and then you have no control at all."

Start there. Once people have access to really good AI tools, then it's just a matter of encouraging and creating forums. Encourage people to experiment, create knowledge-sharing forums, share your own experiments. Try to role-model this yourself. Say, "I tried using AI for these different things, and here's what I learned." Also provide paths for support, like training courses.

The Right Mindset for Working with AI

Tenille: What would you encourage in team members as far as their mindset or skills go? Certainly a nature of curiosity and a willingness to learn and experiment. Is there anything beyond that that you think would be really key?

Henrik: It is a bit of a weird technology that's never really existed before. We're used to humans and code. Humans are intelligent and kind of unpredictable. We hallucinate sometimes, but we can do amazing things. Code is dumb – it executes exactly what you told it to do, and it does so every time exactly the same way. But it can't reason, it can't think.

Now we have AI and AI agents which are somewhere in the middle. They're not quite as predictable as code, but they're a lot more predictable than humans typically. They're a lot smarter than code, but maybe not quite as smart as humans – except for some tasks when they're a million times smarter than humans. So it's weird.

You need a kind of humble attitude where you come at it with a mindset of curiosity. Part of it is also to realise that a lot of the limitation is in you as a user. If you try to use AI for coding and it wrote something that didn't work, it's probably not the model itself. It's probably your skills or lack of skills because you have to learn how to use these tools. You need to have this attitude of "Oh, it failed. What can I do differently next time?" until you really learn how to use it.

"There can be some aspect of pride with developers. Like, 'I've been coding for 30 years. Of course this machine can't code better than me.' But if you think of it like 'I want this thing to be good, I want to bring out the best in this tool' – not because it's going to replace me, but because it's going to save me a tonne of time by doing all the boring parts of the coding so I can do the more interesting parts – that kind of mindset really helps."

Maintaining Code Quality and Shared Understanding

Tenille: Our team at Easy Agile is taking our steps and trying to figure out how AI is gonna work best for us. I put the question out to some of our teams, and there were various questions around people taking their first steps in using AI as a co-pilot and producing code. There are question marks around consistency of code, maintaining code quality and clean architecture, and even things like maintaining that shared understanding of the code base. What advice do you have for people in that situation?

Henrik: My first piece of advice when it comes to coding – and this is something I do every day with AI, I've been doing for about two and a half years now – is that the models now, especially Claude, have gotten to the level where it's basically never the AI's fault anymore. If it does anything wrong, it's on you.

You need to think about: okay, am I using the wrong tool maybe? Or am I not using the tool correctly?

For example, the current market leader in terms of productivity tools with AI is Cursor. There are other tools that are getting close like GitHub Copilot, but Cursor is way ahead of anything else I've seen. With Cursor, it basically digs through your code base and looks for what it needs.

But if it fails to find what it needs, you need to think about why. It probably failed for the same reason a human might have failed. Maybe your code structure was very unstructured. Maybe you need to explain to the AI what the high-level structure of your code is.

"Think of it kind of like a really smart intern who just joined your team. They're brilliant at coding, but now they got confused about something, and it's probably your code – something in it that made it confused. And now you need to clarify that."

There are ways to do that. In Cursor, for example, you can create something called cursor rules, which are like standing documents that describe certain aspects of your system. In my team, we're always tweaking those rules. Whenever we find that the AI model did something wrong, we're always analysing why. Usually it's our prompt – I just phrased it badly – or I just need to add a cursor rule, or I need to break the problem down a little bit.

It's exactly the same thing as if you go to a team and give them this massive user story that includes all these assumptions – they'll probably get some things wrong. But if you take that big problem and sit down together and analyse it and split it into smaller steps where each step is verifiable and testable, now your team can do really good work. It's exactly the same thing with AI.

Addressing the Code Review Bottleneck

Tenille: One of our senior developers found that he was outputting code at a much greater volume and faster speed, but the handbrake he found was actually their code review processes. They were keeping the same processes they had previously, and that was a bit of a handbrake for them. What kind of advice would you have there?

Henrik: This reminds me of the general issue with any kind of productivity improvement. If you have a value stream, a process where you do different parts – you do some development, some testing, you have some design – whenever you take one part of the process and make it super optimised, the bottleneck moves to somewhere else.

If testing is no longer the bottleneck, maybe coding is. And when coding is instant, then maybe customer feedback – or lack of customer feedback – is the bottleneck. The bottleneck just keeps moving. In that particular case, the bottleneck became code review. So I would just start optimising that. That's not an AI problem. It's a process problem.

Look at it: what exactly are we trying to do when we review? Maybe we could think about changing the way we review things. For example, does all code need to be reviewed? Would it be enough that the human who wrote it and the AI, together with the human, agree that this is fine? Or maybe depending on the criticality of that change, in some cases you might just let it pass or use AI to help in the reviewing process also.

"I think there's value in code review in terms of knowledge sharing in a large organisation. But maybe the review doesn't necessarily need to be a blocking process either. It could be something you go back and look at – don't let it stop you from shipping, but maybe go back once per week and say, 'Let's look at some highlights of some changes we've made.'"

We produce 10 times more code than in the past, so reviewing every line is not feasible. But maybe we can at least identify which code is most interesting to look at.

Ethical Considerations: Balancing Innovation with Responsibility

Tenille: Agile emphasises people over process and delivering value to customers. Now with AI in the mix, there's potential for raising some ethical considerations. I'm interested in your thoughts on how teams should approach these ethical considerations that come along with AI – things like balancing rapid experimentation against concerns around bias, potential data privacy concerns.

Henrik: I would treat each ethical question on its own merits. Let me give you an example. When you use AI – let's say facial recognition technology that can process and recognise faces a lot better than any human – I kind of put that in the bucket of: any tool that is really useful can also be used for bad things. A hammer, fire, electricity.

That doesn't have so much to do with the tool itself. It has much more to do with the rules and regulations and processes around the tool. I can't really separate AI in that sense. Treat it like any other system. Whenever you install a camera somewhere, with or without AI, that camera is going to see stuff. What are you allowed to do with that information? That's an important question. But I don't think it's different for AI really, in that sense, other than that AI is extremely powerful. So you need to really take that seriously, especially when it comes to things like autonomous weapons and the risk of fraud and fake news.

"An important part of it is just to make it part of the agenda. Let's say you're a recruitment company and you're now going to add some AI help in screening. At least raise the question: we could do this. Do we want to do this? What is the responsible way to do it?"

It's not that hard to come up with reasonable guidelines. Obviously, we shouldn't let the AI decide who we're going to hire or not. That's a bad idea. But maybe it can look at the pile of candidates that we plan to reject and identify some that we should take a second look at. There's nothing to lose from that because that AI did some extra research and found that this person who had a pretty weak CV actually has done amazing things before.

We're actually working with a company now where we're helping them build some AI agents. Our AI agents help them classify CVs – not by "should we hire them or not," but more like which region in Sweden is this, which type of job are we talking about here. Just classifying to make it more likely that this job application reaches the right person. That's work that humans did before with pretty bad accuracy.

The conclusion was that AI, despite having biases like we humans do, seemed to have less biases than the human. Mainly things like it's never going to be in a bad mood because it hasn't had its coffee today. It'll process everybody on the same merits.

I think of it like a peer-to-peer thing. Imagine going to a doctor – ideally, I want to have both a human doctor and an AI doctor side by side, just because they both have biases, but now they can complement each other. It's like having a second opinion. If the AI says we should do this and the doctor says, "No, wait a second," or vice versa, having those two different opinions is super useful.

Parallels Between Agile and AI Transformations

Tenille: You're recognised as one of the leading voices in agile software development. I can see, and I'm interested if you do see, some parallels between the agile transformations that you led at Spotify and Lego with the AI transformations that many businesses are looking at now.

Henrik: I agree. I find that when we help companies transition towards becoming AI native, a lot of the thinking is similar to agile. But I think we can generalise that agile transformations are not really very special either – it's organisational change.

There are some patterns involved regardless of whether you're transitioning towards an agile way of working or towards AI. Some general patterns such as: you've got to get buy-in, it's useful to do the change in an incremental way, balance bottom-up with top-down. There are all these techniques that are useful regardless. But as an agilist, if you have some skills and competence in leading and supporting a change process, then that's going to be really useful also when helping companies understand how to use AI.

Tenille: Are you seeing more top-down or bottom-up when it comes to AI transformations?

Henrik: So far it's quite new still. The jury's not in yet. But so far it looks very familiar to me. I'm seeing both. I'm seeing situations where it's pure top-down where managers are like "we got to go full-out AI," and they push it out with mixed results. And sometimes just completely bottom-up, also with mixed results.

Sometimes something can start completely organically and then totally take hold, or it starts organically and then gets squashed because there was no buy-in higher up. I saw all of that with agile as well. My guess is in most cases the most successful will be when you have a bit of both – support and guidance from the top, but maybe driven from the bottom.

"I think the bottom-up is maybe more important than ever because this technology is so weird and so fast-moving. As a leader, you don't really have a chance if you try to control it – you're going to slow things down to an unacceptable level. People will be learning things that you can't keep up with yourself. So it's better to just enable people to experiment a lot, but then of course provide guidance."

AI for Product Owners: From Ideation to Pull Requests

Tenille: You're very well known for your guidance and for your ability to explain quite complex concepts very simply and clearly. I was looking at your video on YouTube today, the Agile Product Ownership in a Nutshell video, which was uploaded about 12 years ago now. Thinking about product owners, there's a big opportunity now with AI for generating ideas, analysing data, and even suggesting new features. What's your advice for product owners and product managers in using AI most effectively?

Henrik: Use it for everything. Overuse it so you can find the limits. The second thing is: make sure you have access to a good AI model. Don't use the free ones. The difference is really large – like 10x, 100x difference – just in paying like $20 per month or something. At the moment, I can particularly strongly recommend Claude. It's in its own category of awesomeness right now. But that of course changes as they leapfrog each other. But mainly: pay up, use a paid model, and then experiment.

For product owners, typical things are what you already mentioned – ideation, creating good backlog items, splitting a story – but also writing code. I would say as a PO, there is this traditional view, for example in Scrum, that POs should not be coding. There's a reason for that: because coding takes time, and then as PO you get stuck in details and you lose the big picture.

Well, that's not true anymore. There are very many things that used to be time-consuming coding that is basically a five-minute job with a good prompt.

"Instead of wasting the team's time by trying to phrase that as a story, just phrase it as a pull request instead and go to the team and demonstrate your running feature."

That happened actually today. Just now, our CEO, who's not a coder, came to me with a pull request. In fact, quite often he just pushes directly to a branch because it's small changes. He wants to add some new visualisation for a graph or something in our platform – typically admin stuff that users won't see, so it's quite harmless if he gets it wrong.

He's vibe coding, just making little changes to the admin, which means he never goes to my team and says, "Hey, can you guys generate this report or this graph for how users use our product?" No, he just puts it in himself if it's simple.

Today we wanted to make a change with how we handle payments for enterprise customers. Getting that wrong is a little more serious, and the change wasn't that hard, but he just didn't feel completely comfortable pushing it himself. So he just made a PR instead, and then we spent 15 minutes reviewing it. I said it was fine, so we pushed it.

It's so refreshing that now anybody can code. You just need to learn the basic prompting and these tools. And then that saves time for the developers to do the more heavyweight coding.

Tenille: It's an interesting world where we can have things set up where anyone could just jump in and with the right guardrails create something. It makes Friday demos quite probably a lot more interesting than maybe they used to be in the past.

Henrik: I would like to challenge any development team to let their stakeholders push code, and then find out whatever's stopping you from doing that and fix that. Then you get to a very interesting space.

Closing the Gap Between Makers and Users

Tenille: A key insight from your work with agile teams in the past has been to really focus on minimising that gap between maker and user. Do you think that AI helps to close that gap, or do you think it potentially risks widening it if teams are focusing too much on AI predictions and stop talking to their customers effectively?

Henrik: I think that of course depends a lot on the team. But from what I've seen so far, it massively reduces the gap. Because if I don't have to spend a week getting a feature to work, I can spend an hour instead. Then I have so much more time to talk to my users and my customers.

If the time to make a clickable prototype or something is a few seconds, then I can do it live in real time with my customers, and we can co-create. There are all these opportunities.

I find that – myself, my teams, and the people I work with – we work a lot more closely with our users and customers because of this fast turnaround time.

"Just yesterday I was teaching a course, and I was going home sitting on the subway. It was a 15-minute subway ride. I finally got a seat, so I had only 7 minutes left. There's this feature that I wanted to build that involved both front-end and back-end and a database schema change. Well, 5 minutes later it was done and I got off the subway and just pushed it. That's crazy."

Of course, our system is set up optimised to enable it to be that fast. And of course not everything will work that well. But every time it does, I've been coding for 30 years, and I feel like I wake up in some weird fantasy every day, wondering, "Can I really be this productive?" I never would have thought that was possible.

Looking Ahead: The Future of Agile Teams

Tenille: I'd like you to put your futurist hat on for a moment. How do you see the future of agile teamwork in, say, 10 to 15 years time? If we would have this conversation again in 2035, given the exponential growth of AI and improvements over the last two to three years, what do you think would be the biggest change for software development teams in how they operate?

Henrik: I can't even imagine 10 years. Even 5 years is just beyond imagination. That's like asking someone in the 1920s to imagine smartphones and the Internet. I think that's the level of change we're looking at.

I would shorten the time a little bit and say maybe 3 or 4 years. My guess there – and I'm already seeing this transfer happen – is that coding will just go away. It just won't be stuff that we humans do because we're too slow and we hallucinate way too much.

But I think engineering and the developer role will still be there, just that we don't type lines of code – in the same way that we no longer make punch cards or we no longer write machine code and poke values into registers using assembly language. That used to be a big part of it, but no longer.

"In the future, as developers, a lot of the work will still be the same. You're still designing stuff, you're thinking about architecture, you're interacting with customers, and you're doing all the other stuff. But typing lines of code is something that we're gonna be telling our kids about, and they're not gonna believe that we used to do that."

The other thing is smaller teams, which I'm already seeing now. I think the idea of a cross-functional team of 5 to 7 people – traditionally that was considered quite necessary in order to have all the different skills needed to deliver a feature in a product. But that's not the case anymore. If you skip ahead 2 or 3 years when this knowledge has spread, I think most teams will be 2 people and an AI, because then you have all the domain knowledge you need, probably.

As a consequence of that, we'll just have more teams. More and smaller teams. Of course, then you need to collaborate between the teams, so cross-team synchronisation is still going to be an issue.

Also, I'm already seeing this now, but this concept of sprints – the whole point is to give a team some peace of mind to build something complex, because typically you would need a week or two to build something complex. But now, when it takes a day and some good prompting to do the same thing that would have taken a whole sprint, then the sprint is a day instead. If the sprint is a day, is there any difference between a sprint planning meeting and a daily standup? Not really.

I think sprints will just kind of shrink into oblivion. What's going to be left instead is something a little bit similar – some kind of synchronisation point or follow-up point. Instead of a sprint where every 2 weeks we sit down and try to make a plan, I think it'll be very much continuous delivery on a day-to-day basis. But then maybe every week or two we take a step back and just reflect a little bit and say, "Okay, what have we been delivering the past couple of weeks? What have we been learning? What's our high-level focus for the next couple of weeks?" A very, very lightweight equivalent of a sprint.

I feel pretty confident about that guess because personally, we are already there with my team, and I think it'll become a bit of a norm.

Final Thoughts: Preparing for the Future

Henrik: No one knows what's gonna happen in the future, and those who say they do are kidding themselves. But there's one fairly safe bet though: no matter what happens in the future with AI, if you understand how to use it, you'll be in a better position to deal with whatever that is. That's why I encourage people to get comfortable with it, get used to using it.

Tenille: I have a teenage daughter who I'm actually trying to encourage to learn how to use AI, because I feel like when I was her age, the Internet was the thing that was sort of coming mainstream. It completely changed the way we live. Everything is online now. And I feel like AI is that piece for her.

Henrik: Isn't it weird that the generation of small children growing up now are going to consider this to be normal and obvious? They'll be the AI natives. They'll be like, "Of course I have my AI agent buddy. There's nothing weird about that at all."

Tenille: I'll still keep being nice to my coffee machine.

Henrik: Yeah, that's good. Just in case, you know.

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Thank you to Henrik Kniberg for joining us on this episode of the Easy Agile Podcast. To learn more about Henrik's work, visit Abundly AI or check out his educational videos on AI and agile practices.

Subscribe to the Easy Agile Podcast on your favourite platform, and join us for more conversations about agile, product development, and the future of work.

In this episode, I was joined by Sherif Mansour - Distinguished Product Manager at Atlassian.

We spoke about styles of product management and the traits that make a great product manager. Before exploring the idea of a shared brain and the role of a product engineer.

Sherif has been in software development for over 15 years. During his time at Atlassian, he was responsible for Confluence, a popular content collaboration tool for teams.

Most recently, Sherif spends most of his days trying to solve problems across all of Atlassian’s cloud products. Sherif also played a key role in developing new products at Atlassian such as Stride, Team Calendars and Confluence Questions. Sherif thinks building simple products is hard and so is writing a simple, short bio.

Hope you enjoy the episode as much as I did. Thanks for a great conversation Sherif.