Easy Agile Podcast Ep.29 From Hierarchy to Empowerment: Agile Leadership Paradigms

"Rebecca is an absolute gold mine of knowledge when it comes to SAFe, can't wait to continue the conversation at SAFe Summit 2022!"" - Tenille Hoppo

In this episode, Rebecca and Jasmin are talking:

📌 The value of the Scaled Agile Framework, who it’s for & who would benefit

📌 The Importance of having a common language for organizations to scale effectively

📌 When to connect the Scaled Agile Framework with your agile transformation

📌 Is there ever really an end state?

+ more!

📲 Subscribe/Listen on your favourite podcasting app.

Thanks, Jasmin and Rebecca!

Transcript

Jasmin Iordandis:

Hello, and welcome to the Easy Agile podcast, where today we're chatting all things Scaled Agile with Rebecca Davis, SAFe Fellow, SPCT, principle consultant and member of the SAFe framework team. Rebecca is passionate about teamwork, integrity, communication, and dedication to quality. And she's coached organizations on building competitive market-changing products at scale while also bringing joy to the work, for what is work without joy. Today, we've chatted all things Scaled Agile implementations, challenges, opportunities, and also the idea around optimizing flow, which Rebecca is hosting a workshop at the SAFe Summit in Denver in August this year. Hope you enjoy the podcast.

Jasmin Iordandis:

Hello everyone, and welcome to the Easy Agile podcast. I'm your host Jasmin Lordandis, product marketing manager here at Easy Agile. And today, we are delighted to welcome Rebecca Davis from the Scaled Agile framework. Welcome, Rebecca, and thanks for joining us.

Rebecca Davis:

Thanks. I appreciate being here. I'm excited.

Jasmin Iordandis:

Me too, especially because we are counting down the days before we get to meet you face to face, in person, at the SAFe Summit over in Denver, Colorado. And before we kick off our conversation, I just want to acknowledge the traditional custodians of the land from which we broadcast our podcast today. The people of the Djadjawurrung 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. So before we kick off, Rebecca, can you tell us a little bit about yourself and your role within Scaled Agile?

Rebecca Davis:

Sure. I'm actually relatively new to working for Scaled Agile. So I've been there a little over 90 days now, and I'm a member of the framework team, which means I help actually create the Scaled Agile framework and future versions of it. Prior to that, I led LACE at a company called CVS Health, and I've worked at a bunch of different kind of healthcare organizations across my years implementing or organizing agile transformation and digital transformation. And I think one of the reasons that Scaled Agile was interested in me joining the team is just a lot of different experiences across business agility as a whole outside of technology, in addition to within technology. So marketing transformations and HR transformations, legal transformations. But I love being at Scaled Agile and being part of the framework team. It's really exciting to help more organizations, and just the one I'm at, really understand how to bring joy to their workplace and bring value out to the world.

Jasmin Iordandis:

Yeah, cool. And you've given a little bit of information there around why Scaled Agile was interested in you. What attracted you to Scaled Agile, and did you use the Scaled Agile framework in these previous roles that you've just described?

Rebecca Davis:

Yeah. Those are great questions. I think I'm going to try to answer both of them together. But the reason I have always been drawn to the Scaled Agile framework is I ran a few different organizations, both as owning my own company and then also working in startups and working with larger organizations, where I knew that agility was important. But I was struggling as a change leader to find a way to really bring connectedness across large amounts of people. And to me, that's what Scaled Agile does for us, is after a certain size, it's a lot easier to create this common language and this common way to move forward and produce value with the framework. I also really enjoy it because there's a lot of thought that's already kind of done for you.

Rebecca Davis:

So if you're in an organization and you're trying to create change or change leadership, I'd much rather be leading the conversations and my context and making sure that I have a pulse on my particular cultural environment and pull from all these pieces, from the framework, where the thought's already been done about what are the right words and what do we do next, and what's the next step. So I've just found it an invaluable toolkit as a change leader.

Rebecca Davis:

I joined the framework team for a few reasons. One, I'd led so much change in so many different areas that, it's not that I wasn't challenged anymore, but I was really looking for something larger and different, and I've always had a belief that I really want to be the change that I want to see in the world. And I think being part of the framework team gives me access to things like this and all over the world to really help connect the humanness of people alongside with all the great techniques that we've learned, and hopefully expand it and just create a better place to be in.

Jasmin Iordandis:

Yeah. Cool. And you kind of touched on that in your response, but if we had to say, who is the Scaled Agile framework for and who would it most benefit, what would you say to that?

Rebecca Davis:

Yeah. I guess my opinion on that is I believe the Scaled Agile framework is for people who believe that their organizations have it in them to be better, both internally inside of themselves, as well as have this gigantic potential to go help the customers they serve and may be struggling right now, to really realize that potential. So I don't really see the framework as it's for a specific role necessarily. I think it's for people who believe in betterness. And those people, I found, live across an organization and across multiple different roles, and the framework just really helps you align that.

Jasmin Iordandis:

Yeah. And I think one thing that's evident from SAFe, once you learn how all the different practices and ceremonies work together, is exactly as you've said around connectiveness. And you also touched on having a common language. How important is that, when we're talking really large organizations with multiple different functions who, let's be honest, it's quite common for different functions to fall into different silos and things to break down. So how important is that connectivity and that common language, so that an organization as a whole can scale together?

Rebecca Davis:

Yeah. I don't even know how to state the amount of importance that is. I guess, specifically the organization I just came from, had over 400,000 people that worked there. And the last thing I want to is to debate what the word feature means, because that doesn't actually end up within a conversation where we have an understanding of why we want to feature or why we want this particular outcome, or how this outcome relates to this other outcome, if we're spending so much time just choosing word choice and having a conversation instead about what does the word even mean.

Rebecca Davis:

So I like it mostly because it gives us all this common framework to debate, and we need to be able to do that in really transparent and open ways across all of our different layers. So I don't even know how to quantify how much value it brings just to have this ability to bring stability, and the same language across the board, same word choice, same meaning behind those word choice, so that we can have all those debates that we need to have about what's the best possible thing we could be doing, since everything that we can do is valuable, but some things we have to decide are more valuable than others.

Jasmin Iordandis:

Yeah. And I think that really talks to what you were saying about helping an organization to reach its potential. It sounds like getting bogged down in what you call things or how you discuss things. And to be able to align on a common meaning in the end, you kind of need that common structure or that common language. And you're only going to get in your own way if you don't have it. So it makes total sense that the framework could really enable organizations on that journey. And in your experience, because it's implied in the name, it's about scaling agile. And I guess when we think of the Scaled Agile framework, we think of all those organizations of such a large size as the one you just mentioned, 400,000 employees. In your experience, what's a good time to introduce the Scaled Agile framework? Does it need to be right from the beginning? Does it need to be those organizations that are 400,000 people strong? Where is the right time to intersect the framework with an agile transformation?

Rebecca Davis:

Yeah. I think that's a really fascinating question, and my answer has changed over the years. I originally started researching Scaled Agile, because it was my first big transformation alongside of a large organization, and I knew there had to be some solutions out there to the problems I was seeing, and I discovered SAFe. But thinking back, I started my own startup company right out of high school actually. And I really wish that I would've had something to pull from, that gave me information about lean business cases, and speaking with my customer and getting tests and getting feedback. So I feel like the principles and the practices and the values are something that could be used at any size.

Rebecca Davis:

I think the part about scaling, the part about deciding like, "Hey, I'm going to do PI planning," I don't personally feel like you need to do PI planning if you have four people at your organization, because the point is to get teams across different groups to talk. You should definitely plan things 100%. So I think part of the idea is like, "When do I implement a train," or, "When do I have a solution train," or, "When do I officially call something LPM," versus just having discussions because my company is so small that we can all have discussions about things. I think those are a different part of implementing the Scaled Agile framework than just living and believing in the principles and the values and the mindset from whatever size or get-go you're at. Does that make sense at all?

Jasmin Iordandis:

That does make sense. And I guess then the question becomes, where do you begin and what would the first step be in implementing SAFe? And taking from your own experience, where do you start with this framework?

Rebecca Davis:

Yeah. I love that you asked that, as I've honestly seen this happen to me as well as some other change agents, where Scaled Agile gives us this thing called the implementation roadmap, and it has all the steps that you can start with. And it's proven, and companies use it and it works. And what I've found in my own change leadership is when I skip a step or I don't follow that because I get pressure to launch a train, instead of starting with getting my leaders at the right tipping point or having that executive buy in, it causes me so much pain downstream.

Rebecca Davis:

So if I were to give advice to somebody, it's, "Look, pull that map down the implementation roadmap from the SAFe site and follow it. And keep following it. And if you find that you..." I think that, back when I look back and do my own retrospective, the moments where I've decided to launch a train without training my people or launch or start doing more product management practices without actually training my people, it causes me a world to hurt later on with coaching and with communication, with feedback. So it's there for that reason. Just follow it. It's proven.

Jasmin Iordandis:

Yeah. And that's really good advice. And I think when people look at the roadmap for SAFe, there's a lot on there. But when we are talking agile transformations, necessarily there is going to be a lot that could get you there. So it kind of makes sense when all the thinking is been done for you and all those steps have been done. Just trust the process, I guess, is the message there, and following through on all of that. And I think it's really interesting, because the first step with SAFe is, as you say, getting your leaders on board. And often, we might be attracted to doing the work better. So let's start with those ceremonies. Let's start with all those things that make the day to day work better. How important it starting with the leaders of an organization?

Rebecca Davis:

Yeah. I've run the grassroots SAFe implementations where you start with the bottom and then you kind of move up. And personally, and this is a personal opinion, I'd much rather take the time and the efforts to get the communication right with the leaders and get the full leadership buy-in than be in that place again, where I'm trying to grassroot to move up and I hit the ceiling. The one thing I used to kind of tell the coaches that reported to me, and something I believe in deeply, is what we're trying to do with transformation is a journey. It's not a destination. So because we want to start that journey healthy and with a full pack of food and all those things, we need to take the time to really go and be bold and have conversations with our leaders, get their buy-in to go to Leading SAFe.

Rebecca Davis:

If they're not bought in to coming to a two-day course, then why would we believe that they're going to come to PI plannings and speak the way that we hope they will and create the change that they need to really lead? So I think that's one of the most important things, if not the most important thing from the very beginning, is be bold as that first change leader in your organization, go make those connections.

Rebecca Davis:

It may take a while. I've been in implementations or transformations where it started with just me discovering issues that senior leaders or executives were having, and going and solving some of those, so that there was trust built that I was a problem solver. So I could ask for the one hour executive workshop, which really should be a four to six-hour executive workshop, to get to the point where I could do the four to six-hour executive workshop, to get to the point where I could do PI Leading SAFe. And if that's what it takes to gain you that street cred to go do it, then, man, go do it, because that's where you get full business agility, I think, is getting that really senior buy-in and getting that excitement.

Jasmin Iordandis:

Yeah. That's really interesting. And I think building that level of understanding and building that foundation, we can't go past that. And I guess on that as well, from your experience, you've kind of hinted at one there, but what have been some of the challenges that you've experienced in implementing SAFe or even just in agile transformations more broadly, and as well as some of those opportunities that the framework has helped to unlock? So let's start with the challenges. What's some of the hard things you've experienced about an agile transformation and even implementing the framework?

Rebecca Davis:

Yeah, I'll give some real examples, and this first thing is going to sound a little wishy washy, but I also believe it, is the biggest challenge to transformation is you. So what I've discovered over the years, is I needed to step up. I needed to change. I think it's really easy to be in an organization and say, "My leaders don't get it," or, "Some won't understand," or, "It's been this way and I can't change it." And I think that the first thing you have to decide is that that's not actually acceptable to you as a person. And so you as a person are going to go fight. Not you're going to go try to convince somebody else to fight, but you are going to go fight. So I think that personal accountability is probably the biggest challenge to wake up every single day and say, "I'm going to get back in there."

Rebecca Davis:

I think from an example point of view, I've definitely seen huge challenges when the executive team shifts. So when we've got a set of leaders that we did the tipping point, we've gone through Leading SAFe, we've launched our trains. And then the organization, because every organization is going through a lot of change right now, and people are finding new roles and retiring and all that, there's a whole new set of executive leaders. And I think one of the things to discover there is there are going to be moments where it sucks, but you have to go and restart that implementation roadmap again, and reach that tipping point again, because there are new leaders. And that's hard. It really is, and it drains you a little bit, but you've just got to do it.

Rebecca Davis:

I think other challenges I've run into is there's a point after you've launched the trains and after you have been running for a while, where if you don't pay attention, people will stop learning, because you're not actively saying like, "Here's the next thing to learn. Here's the next new thing to try." So I do think it's the responsibility of a change leader, no matter if you're a LACE leader or not, to pay attention to maintaining excitement, pay attention to the continuous learning culture and really motivate people to get excited about learning and trialing and trying.

Jasmin Iordandis:

Yeah. That's an interesting point. How have you done that?

Rebecca Davis:

Hmm. So I think a few things. One, I had big lessons learned that there's a point inside of a transformation where, as an SPBC or as a change leader, that transformation is not yours anymore. So I had kind of a painful realization at one point that I had in my head the best next thing for the organization, and I was losing pulse of the people who are actually doing the work. So I think what I've discovered after that is, to me, there's a point where your LACE members and your change leaders and your SPCs need to start coming from a lot more areas. And honestly start to be made up of people who are not, at the moment, excited about the SAFe implementation, so you can hear from the pulse of the people.

Rebecca Davis:

And then I think if you can get those people and invite in and say like, "I'm inviting you to share it with me what's frustrating, what's good, what's bad, what's great, as well as I'm inviting you to tell me all the things that you're discovering out there in webcasts or videos that seem you'd like to try them, but we're not trying yet, and start giving back the ability to try new things and try things that you feel are probably going to be anti-patterns, but they need to try them anyway." So kind of a scrum master would do with a team of like, "Yeah, go try and then we'll retrospect." I think you have to do that at scale and let people get excited about owning their own transformation.

Jasmin Iordandis:

And what's the balance there between implementing the framework and taking all the good stuff that the framework says is good to do, and then letting people experiment and try those things, as you say, that may be anti-patents? Where's that sweet spot to allow that autonomy and that flexibility and that experimentation with still maintaining the integrity of the framework?

Rebecca Davis:

So I think the interesting thing is they are not actually different. So in the framework, we say hypothesis first, test first. So what I found is a layered kind of brain path where there're the steps in the framework and make sure we have teams and balance trains and all the principles and the values, and if you can live those principles and values all the time, while you're testing new things. So you test first like, "Hey, I want to try having my train off cadence from the other trains. I think it would be helpful for us." "Cool. Test that." And what we have to test it against is are we still living our principles? Are we still applying our values? Are we still applying the core fundamentals of agility and lean throughout that test and also as proof points?

Rebecca Davis:

So do we have an outcome where," Hey, I just made my train into a silo," or do we have an outcome where, "Well, now we have two different PI plannings within the overall PI cadence that one of them we merge with all the other trains and the other one is shorter because our market cadence is faster." Well, that's a beautiful win. So I think the key is it's not different, but one of the test points is make sure to check in on those principles and values.

Jasmin Iordandis:

Yeah. Have you ever seen that work well? The example that you just provided with the PI cadence, that makes complete sense, and it doesn't seem like it's going against the grain with anything that SAFe is there to help you achieve.

Rebecca Davis:

Yeah, I think that. This was kind of a little bit of what my summit talk was on last year, is during COVID, there were some trains. We had, I don't know, 30 trains. Two of them were having daily new requirements emerging from all the different states across the United States and emerging from the government and emerging from everything. Those trains were making sure everybody could get vaccinated across the United States. That's really darn important. And they needed to re-plan sometimes daily. It just didn't make sense to say, "Now we're just going to stop and go into PI planning for three days," when there wasn't any way that they could even think about what the next day's requirements could be. Since then, they still have a faster market rhythm. Then there are other trains that are working on, have a set unknown. There are trains that know that these holidays are when we need to release something or end of year is when we need to make sure that we've got something ready.

Rebecca Davis:

COVID is still in a reactive state. So what they've emerged into this year is those trains are still doing PI planning from my knowledge, I'm not there anymore, but from my knowledge. But they do eight a year instead of four a year. And four a year are on the same cadence and the other four are not, and it meets both needs. So I do think that key is test, and don't test just for the sake of it just because something feels dry or you get a new leader, and they haven't gone through Leading SAFe, but test because something actually doesn't feel right about, "We're not meeting our principles or values right now. We think that we could meet them better in this way. We think we could accelerate the flow of value in this way. Let's try it."

Jasmin Iordandis:

Yeah, cool. And on that, what are some of the red flags that you've seen in practice where those values aren't being met to be able to say, "Hang on a sec. This isn't working. We need to switch course"?

Rebecca Davis:

Yeah. Some of the things I've seen are the whole fun around when people are prioritizing their hierarchy or their piece of the organization over the enterprise value. So I've definitely seen people come to me and say, "Hey, I'd like to do his test." And when I ask the reasons why, a lot of the reasons are like a thinly veiled, "Because I would like more control."

Rebecca Davis:

So I think back to the values piece is that, "Okay, what's your why? Let's start with why. Why would you like to try something? What does that trial outcome achieve?" And, A, if it's really hard to articulate, probably there might be a bad thing going on, or if it is articulated and it actually goes against agility or lean practice and or diminishes flow or creates a silo, that's an initial gut. I think throughout testing, it's important to, the same way that we would do with iterations, have check-ins and demos, not just of what's the product being produced, but what is the change producing? So figuring out what those leading indicators would be and treat it the same way as we would treat a feature hypothesis or an epic hypothesis. We have some outcome we believe we could achieve. We're 100% open to being proven wrong. These are the things that we want to see as leading indicators as success and be really open with each other.

Jasmin Iordandis:

Yeah, cool. And it sounds like what's key to that though is having some concept of what that intended outcome is as a result of that experiment. It's not just going in for, as you say, the sake of doing an experiment. You want to have an idea of where you want to end up, so you can see if we're actually getting there or not.

Rebecca Davis:

Yeah.

Jasmin Iordandis:

That's really fascinating. And I think experimentation and iterative improvement, it kind of goes together. It's not just blindly following something because that's what you are supposed to do. It's preserving the values. That's a really interesting concept. And I think in that, would also come enormous opportunity. So in your experience as well, going back to the times where you've brought SAFe to an organization, or you've been going through an agile transformation, what are some of those opportunities that you've seen the framework unlock for enterprises or organizations that you've been leading those transformations within?

Rebecca Davis:

Yeah. I always was drawn to this idea of true value flow and business agility. So for me, what Scaled Agile helped unlock in a few of my organizations is, I always targeted that, like I'm not trying to make my thing better, I'm trying to make everything better. And with that mindset, really pushing for anybody should be able to take a class. Anybody should be able to take any of the classes. And these days, the enterprise subscription helps with that a lot. When I first started, we didn't have that. So it was also like anybody can take a class, and there should be creative ways of getting it paid for it.

Rebecca Davis:

But through that kind of invite model of really anybody, I had a nurse come take one of my SAFer teams classes, just because she was curious and she saw something about it on my blog, which ended up with her being more excited and getting to do agile team coaching for a set of nurses who were highly frustrated because their work on an individual basis was ebbing and flowing so much, and they felt like they weren't giving good patient care to coaching them on Kanban and having them all get really excited because they got to nurse as a team and whoever was available took the next patient case, and the patients were happier, and just being able to invite in and then say yes to coaching all of these roles that are so meaningful and they're so excited and they're something different.

Rebecca Davis:

And that same model ended up going from nothing to having a marketing person randomly take one of my Leading SAFe classes, which then turned into them talking to the VPs of marketing, which then turned into an 800-person marketing implementation. So I think the key is be open and spend time with the curious. And it doesn't matter if they're in your org. It's not like that's what I was paid to do, it's just really fun. So why not? If somebody wants to talk to you about agile, talk to them about agile. It's really cool.

Jasmin Iordandis:

Yeah, cool. And I think what I love about that is often agile may be associated just as software development teams. But as someone who's in marketing myself, I love the benefit and the way of thinking that it can provide to very traditional challenges, but the way that it can unlock those challenges in ways that not have not been approached before. And I think that there's something to be said in that too, around what you were saying earlier around maintaining excitement. And I feel like this question's already been answered, because often it's discussed, "Okay, we are scaling agile, we're going through a transformation." And it implies that there's this end state where it's done. It's transformed or we've scaled agile, but it doesn't sound like that's the case at all.

Rebecca Davis:

No, I don't think at all. I think mostly the opposite of... If you look at even yourself as a human, your whole life, you're transforming in different ways. Everything's impacting you. The environment's impacting you, whatever happens in your life is just this whole backpack that you carry around and you're transforming all the time. And the exact same thing, I think, for an organization and company. Today's age is nuts. There're updates all the time, there's new technology all the time. You and I are doing a talk from completely different countries, and there's change literally everywhere.

Rebecca Davis:

So yeah, I think part of transformation is helping your organization feel comfortable or as comfortable as possible with the rate of change happening and all the people within it, and not see change as a bad word, but as a positive thing where we can make betterness out there. And it's forever. It's a journey. It's not done. I really like Simon Sinek when he talks about that infinite game. I just feel really close to that of, we're not in it to win this moment or this year, we're in it to make a better future for ourselves and our children, and that's going to take forever. The people are in it right now and they've got to be excited about that.

Jasmin Iordandis:

Yeah. And I think that's that balance of delayed gratification, but constant improvement. So you'll feel and experience the improvement along the way. It's not like it'll be way out in the future where you won't feel the benefit of what you're doing, but it's something that's going to be built up and happen over time.

Rebecca Davis:

Yeah. And I think you reminded me just from saying that. I did that marketing transformation, and I just deeply remember a call with one of the marketing VPs who, after four or five iterations, I did a check in with her. And she's like, "My team is so happy. Is this because of agile? Is this what agile is, is happy with [inaudible 00:32:17]?" "Yes."

Jasmin Iordandis:

Yeah, joy at work, right?

Rebecca Davis:

Yeah.

Jasmin Iordandis:

Isn't that what it's all about? That is so cool. And yet the goal initially is never to go out and make people happy. It's just one of those bonus kind of side effects, a happy side effect.

Rebecca Davis:

Yeah.

Jasmin Iordandis:

Awesome. And I think I really want to talk about this idea, because you've mentioned it a couple times, you've even just mentioned then marketing, nursing. But then when you're in these larger organizations, you've got all these different functions. And I think it raises this idea around organizing around value. So I want to make sure we talk a bit about that, because value doesn't just happen from one function, or it's not delivered from just one function or one team. It's something that many people across an organization may have a hand in delivering. But I really want to get your take around this concept of organizing around value. What does that mean and what does that look like?

Rebecca Davis:

Yeah. I think there's a base concept that is also in that implementation roadmap around what happens first. So how do we first organize around value, because organizations tend to be organized around hierarchy. I am a VP of marketing and I have marketing all the way down. And so there's that first step of identifying what the value is that you produce as an organization. So being able to articulate it to begin with, which is not always an easy conversation. Sometimes it takes a bit of time, and then organizing all the different types of roles around what that value is. So I think that's your first thing in what most organizations implementing scaled agile start with, is just identifying it, forming around it, which ends up being what your trains end up being.

Rebecca Davis:

My experience is, because of that same rapid market change, the world changing so far, it's really important to re-evaluate how you've organized around value over time. So in my experience, one of the really healthy things that we used to do is, at the end of each year, give a chance to look at the different train structures and look at how we've organized and say, "Is this still right? And what's our strategy for next year? Where are we trying to head for our consumers and our users? And is there a different way to organize, that helps us with that?" And I say give a chance because in some years, we'd be like, "No. 80% of our portfolio is actually good to go. Things are flowing. We're doing okay." 20% of it has an entirely new strategic shift that's going to hit them, or, "Last year felt not good. We had too many dependencies. We didn't have the right people on the right trains," all those things.

Rebecca Davis:

And so at least take a pause and look at it, and see if our value still mean the same thing as it did a year ago or two years ago. Do we need to reorganize? What does that mean? What does the change leadership around it if we do need to, so that we're always focused on value, and it's not a definition that we gave ourselves five years ago and just stopped realizing that the world has changed.

Jasmin Iordandis:

Yeah. A living definition because it changes depending on what's going on in the world, but also what's going on within the organization and coming back to that idea of experimenting as well, like if you've tried out a new way of working, and that's gotten in the way. But even something that you said there really stood out is, "Okay, it didn't feel good. We might have had too many dependencies." And that brings up the idea of, "Well, how does that flow of value happen?" Oh, that sounds like there's a stifle to the delivery of value. So how do you optimize that flow particularly when there may be multiple people delivering that value?

Rebecca Davis:

Yeah. And I think Scaled Agile gives us some tools for that. So I think one of them is that first session I talked about, value stream and down vacation, so that you can really do a process for talking and discussing with the right blend of people. What is the value and how can we organize around that? I think past that point, there's another tool that I see used far less than I would think it would be, which is value stream mapping. So after we've identified it, now can we actually map what's happening? From concept to cash, which teams are doing pass offs? How long does it take to get an answer on an email? How long is it taking from testing to all the way to release?

Rebecca Davis:

So doing a lot of intentional measurement. Not measurement because we're judging people, but intentional measurement of, we organize this way, this is where all the pieces are connecting, and how long things are taking, as well as how people feel inside of their steps, like does it feel silo? Does it have an outcome? Did we put all of the designers and HR people and engineers on a train, but we made them separate teams, and so it still doesn't feel connected? That's what mapping's for. And those maps and also the program boards that actually visualize like, "Here's the dependencies," versus, "At the end of the PI, this is what those dependencies actually ended up being."

Rebecca Davis:

It's not that dependencies are bad, but they should be adding value, not restricting flow. So I think those connected stories as well as things like employee survey scores and just employee happiness are really good inputs, to, are we delivering flow. And it is a blended view. Some of it's qualitative and some of it's quantitative. But are our own internal things showing us good, bad and different, as well as how are our customers. So do they feel like they're receiving value or that they're receiving bits and pieces and they're unsure about the connected value? I think all of those are indicators.

Jasmin Iordandis:

Yeah. And would you say you'd need to have an idea of what those indicators are beforehand, so you can keep an eye on them as the PI progresses? So for example, you've done your value stream mapping, you've built your art. At that point, do you identify what those measurements of flow ought to be and keep an eye on them, or is it more retrospectively where you see these kind of things getting a little bit stuck?

Rebecca Davis:

I think there's both. So definitely those metrics that we indicate inside of the framework are healthy, good for teams and trains and solution trains and portfolio. So I think there is a set of metrics that you should and can utilize. Retrospectives are key, because retrospectives create action. So while we measure, then what's the conversation we have about them? Because what we don't want is vanity metrics. And my personal way of defining vanity metrics is any metric that you do nothing with.

Rebecca Davis:

So I think a key is use them to hold conversations and create outcomes, and create actions and make sure that you're prioritizing those actions. I think there's another piece of just understanding that this is not just about team and train. So teams and trains definitely do need to improve and measure themselves, but so does the portfolio, so does the enterprise, so do the pieces that connect to each other across different trains. So I do think if you over focus on, "Let's just make our teams go faster," you may be missing the whole point of how do we make our organization flow better, which may or may not equate to moving faster right away.

Jasmin Iordandis:

Yeah. Yeah. And team and train don't exist in a vacuuming within that organization like whole bunch of-

Rebecca Davis:

No, [inaudible 00:40:43].

Jasmin Iordandis:

Yeah. Well, I think we've touched on some really, really interesting concepts, and just I can't wait to hit the SAFe Summit, which is a really good segue to the fact that the next time we meet, Rebecca, it will be in person. And you're hosting a workshop at SAFe. Can you give us any sneak peek of what we can expect to be excited about at the summit?

Rebecca Davis:

Yeah. First of all, when we meet each other in person, I'm very short. So I think I'm maybe five foot. So that'll be exciting. So Harry, on the framework team and I, are running a workshop about flow. So we'll be doing a flow workshop. I can't talk about all of it yet, because some of it we're going to announce inside the summit, but I'm really excited. So I think if you do sign up for our workshop, you're going to get active advice, and be able to work also alongside other organizations and other people, really understanding flow, and how to apply improvements to flow and how to identify blockers to flow and what to do about it. So we're really focusing on why do certain things matter and what can you specifically do about it, whether you're at the team level or the train level or solution level or the portfolio level.

Jasmin Iordandis:

Cool. That sounds exciting.

Rebecca Davis:

And we [inaudible 00:42:08] a lot of other workshops, but definitely come to ours.

Jasmin Iordandis:

Well, we've just spoken about the importance of flow, so it makes sense. Right?

Rebecca Davis:

Yeah.

Jasmin Iordandis:

Awesome. Well, I personally am really looking forward to coming to SAFe and coming to Colorado and to get to chat with you a little bit more. But thank you so much for your time and joining us and sharing your expertise and experience on agile transformations, scaling agile and the SAFe framework itself. Thank you so much for your time, Rebecca.

Rebecca Davis:

Yeah, I appreciate it. And I look forward to maybe one day being able to do this in person with you in your own country. So that'll be really awesome.

Jasmin Iordandis:

Yeah. Cool. That would definitely be awesome. Thanks a lot.

Rebecca Davis:

Yeah. Thanks.

"Every time I meet with Tony, I'm always amazed by his energy and authenticity. In this conversation, that really shone through."

In this episode Hayley Rodd - Head of Partnerships at Easy Agile, is joined by Tony Camacho - Technical Director Enterprise Agility at Adaptavist. They are delving into the highly discussed subject of team alignment, discussing what it means to have synchronized goals, cross-functional collaboration, and a shared agile mindset.

They also cover the fundamental building blocks to get right on your journey to team alignment, like the power of listening and embracing mistakes as learning opportunities, stressing the importance of following through on retrospective action items + so much more.

We hope you enjoy the episode!

Share your thoughts and questions on Twitter using the #easyagilepodcast and make sure to tag @EasyAgile.

Transcript:

Hayley Rodd:

Here at Easy Agile, we would like to say an acknowledgement of country. This is part of our ongoing commitment to reconciliation. Easy Agile would like to acknowledge the traditional custodians of the land from which we broadcast and meet you today. The people of the Darova-speaking country. We pay our respects to elders past, present, and emerging, and extend the same respect to all Aboriginal, Torres State Islander and First Nations people listening in today. Hi all and welcome to the Easy Agile Podcast. My name is Hayley. Here's a little about us here at Easy Agile. So we make apps for Atlassian's Jira. Our applications are available on Atlassian's marketplace and are trusted by more than 160,000 users from leading companies worldwide. Our products help turn teams flat Jira backlog into something more visually meaningful and easy to understand.

From sprint planning, retrospectives and PI planning our ups are great for team alignment. Speaking of team alignment, this is what this episode is all about. Today I'm joined by Tony Camacho. Tony is the technical director of Enterprise Agility for Aligned Agility, which is part of the Adaptiveness group. I've met Tony a few times during my time here at Easy Agile and have learned that he's one of the most generous people along with being funny and a clever human being who is incredibly knowledgeable about Jira and a bunch of other agile related topics. It's really wonderful to have Tony on the podcast today.

Hey, everyone, we've got the wonderful Tony Camacho on the podcast today. This is our first time recording from our Easy Agile Sydney office, which is super cool. Tony, I'm not sure if you know, but Easy Agile is based out of a place called Wollongong, which is just south of Sydney. But we've got a Sydney office because we've hired a bunch of Sydney team members recently who wanted a place to come and hang out with each other. So we created this space, but it's 7:00 AM in the morning, so I'm all alone right now. That's how much I love you. So Tony, let's get started on the questions. Team alignment. What does it mean for a team to actually be aligned?

Tony Camacho:

So for us in an agile space that we're having, it's a collective understanding, a synchronization of your team members towards goals, principles, your practices that you're going in. Even more so I would even go down to the point of cadence, you would have those synchronizes. So it's a matter to be consistent with your agile principles and values, your mindset, your shared goals and vision, your synchronized work practices, DevOps, [inaudible 00:02:44], how we're going to put this out. Cross-functional collaboration between the teams, getting your tea shaped partners/teammates shining at that moment, learning from each other, roles, responsibilities things of that type. That's what it means to me. It really means.

It's all about human beings and at that point, having everybody aligning and working to our common goal, that objective that we want to do for the business partner. There's the gold that we're all after as a team. Does that make sense for you guys? We have the same objectives for this initiative and our practices. And finally for me, which I know this is not typically is we're coming to an agreement on the tools we're going to use and how we're going to use them and have a system source record where we know where we can get our troops, our dependencies, find out which teams do have capacity and move forward from there. That would be my overall definition of an agile team.

Hayley Rodd:

Wow.

Tony Camacho:

And teams.

Hayley Rodd:

You've had lots of experience over the years. I guess where my mind goes when you say all those really wonderful things about team alignment is that in my experience when team alignment is when people get it right, it's super great. When people get it wrong, it's really hard. And I actually think it's pretty hard to get team alignment right. You got to really work at it. What's your experience in that?

Tony Camacho:

To me it's like it can be a bad marriage or a great marriage, but it needs work. As we know, all relationships need work. We're human beings, we're not the same. Each one of us brings something to the table of value. So let me give you one example that I've lived with on a team. I'm an extrovert by nature, and I'm a developer, an engineer and typically that is not two skill sets that you hear together. So I've had to learn that when I'm working with my teammates that happen to be sometimes introverts slow down, listen, wait. They've also had to try to learn to respond faster because as an extrovert, if I ask you a question, all of a sudden I'm looking at you, I'm not getting a response, I'm thinking you're not understanding the question. I rephrase the question and now you're in a deficit to two questions.

And now I'm even worse because now I'm like, "Hayley isn't understanding me. What's happening here? Let me rephrase it again." And it can easily fall apart. What I have seen when teams aren't in alignment is that the team isn't a team any longer. It's miserable to go to the team. It's miserable to come into work, when the team is truly aligned, you're rocking and rolling. It's a feeling like you've never had. It's hard to explain to people that when you see the team, because you know it when it's working and you obviously know when it's not working, you're starting to miss deadlines. Integrations aren't happening on time. You don't have a single source of truth. You start having people explaining the same thing in two, three different matters, different priorities. We're not working from the same hymnal. The thing that I took from my... I'm an SPC, so as an instructor, the one thing I always try to explain to everybody, you may have the best of everything out there, but that's not necessarily mean it's going to work together.

So you have to have that type of understanding, how we're going to work together, what is our priorities, what's the tool sets we're going to have and what is our values as a human beings to this team if that... I'm hoping that helps describe some of the things that I've seen that have gone really bad. I have seen it at, I can share a customer that I have seen it gone, but we started off with good intentions. It's a financial institution in the United States and they were trying to make the jump to mobile applications. And at first we were on the same page as a team, but they decided that they didn't believe that cadence was required to be the same across the board. They didn't believe that we could use the same one tool set, we could use multiple different tool sets.

They had spreadsheets flowing all over the place. And what was happening was we lost trust. We were redoing work, there was ambiguity everywhere. We were misaligned and we started paying for it because our customers started complaining. They could see it in the quality of the work. One team had one schema, one background, one type of... You could see the difference when they integrated, it seemed like it was two applications being put out there mashed together. And when you're misaligned, that comes through very, very quickly in your work. There's a saying that we have here. There's a scrum master, I know her name was Sophia Chaley, one of the best I ever met. And what she will always tell people is what a team delivers is what the team is doing is learning. It's building knowledge, it's expressed as code. When we're misaligned, we're learning different things and we're expressing it differently in the code, if that makes sense.

Hayley Rodd:

Like thinking about the fundamental building blocks of team alignment, is there something that a team really needs to get right to be successful at alignment? And what is that in your mind?

Tony Camacho:

Oh, that is for sure. They had to get that right. First of all, the size of the team.

Hayley Rodd:

Yeah, okay.

Tony Camacho:

Human beings, and I'm not referring back... Going back to say for our scrum practices, I am a CSM. I do know they recommend 8 to 13 people. My best teams have been typically a little bit larger than that. But we had to have the same agreed to the size of the team where it didn't became, didn't become too large where we were over running each other and we weren't listening to each other. We had to understand our goals. We all had the same goals. We used to practice this by, when I worked at Microsoft, we used to have what we used to call our elevator speech. And we would stop somebody and I would go, we're working on this. Watch your elevator speech for this. And if your elevator speech wasn't... It wasn't meant that it had to be in sync with mines, but if I didn't understand it, we had a problem.

Or if it was a different goal where I'm looking at you going, but we're building a Volkswagen, but you're describing to me a Lamborghini, we have a problem. And those were the type of things that we also had to have to make sure that we had the right... Same practices and the tools. That's where I find Easy Agile exceeds. I mean it just exceeds, it meets above the market. It's transparent and it shows everything in front of you right there for me. So when we had the same tool and we were having the same cadence and we could see our dependencies and we could see what I had to deliver for somebody else or somebody had to deliver it for me, that was the types of things we had. We had to have respect. Somebody seems to always forget that we always had to have respect for each other.

We had to embrace the same values of collaboration, adaptability, transparency. The practices that we all know, but somehow we seem to forget when we get into a place where we are not aligned and if you respect my ideas and I respect yours and we're working together, we do not have to agree. But that respect will drive us a long way towards getting to that project vision that we want. And we're trying to meet the customer's needs. And those are the type of things that we needed. We needed leadership. Leadership, I can't say, and if you notice I'm not using the word management, leadership is where you're putting yourself out there in a situation where it can go bad for you as a person, as that leader, trying to make sure that we're making the right choices empowering the people and making them very clear what they can make decisions on and they can't. And it sounds so simple when I talk to you like this, but every time I've had to do some type of transformation, the baggage that sometimes we bring as human beings, the fears, the lack of trust that we have, that's where the scrum masters of product owners come in. And then you need something to make sure that you're having that vision to communicate that vision across. As I mentioned before, some of the tool sets that we have out there. Is that making sense for you at all?

Hayley Rodd:

Yeah, it really does. It's really resonating with me. I think when you talk about coming together as a team and putting together a set of values and a vision, it seems so much like a a "duh" moment. It's like, of course you would do that as a team, but I think at the end of the day as teams, we get in the daily business as usual and we think, I don't have time to get together as a team and set that vision because I've got to do X, Y, and Z, that's due next week. But I think it's one of those fundamental building blocks that really sets you up for success to do X, Y, Z quicker down the track. So that's what I've taken away from that.

Tony Camacho:

And I would agree with you. And you came up with a perfect example because a lot of people do that. I have ABC to do for next week, daily. I don't have time. And the problem is that if they would suddenly realize, and it does become apparent to your practices. So once you agree on your practices, your daily standups, if you're doing that, your retros at the end of your sprints and moving forward, once the person feels that they have that respect for you and they're not fearful, they can share that with you, "Hayley, I'm having a problem. I'm having way too much work. I don't know if I am going to be of value here. Or Do you really need me?" "Yes Tony, I do need you, we're going to discuss this and let's discuss your A, B, C and see how I can help you." And they suddenly realized they're not on an island alone. Developers by nature being introverted, we have to break that habit. We have to be able to share. And it's funny, I'm not saying share my lunch, fine, sure, let's share our lunch, but share the workload.

The one thing that I always try to mention to teams, and again that's... I'm sorry, but I do believe in Easy Agile, using this tool. That's where easy Agile also to me makes it apparent. A story belongs to a team, not to a person. And once you know that you suddenly realize, I'm not alone. I'm here working as part of a bigger thing. And most human beings want to be part of a bigger thing. You suddenly realize that it's almost like the baseball metaphor that I use for teams. And I know the market is not baseball, but I think it would apply for other sports, be cricket or sports like that. When I'm batting, it's me against everybody. When I'm on the field, it's us against... I prefer being with the us. And generally that's where things like that, let's do that.

Also, when you're working with more people as a team, there's things that happened there. You minimize the project risk, which I hate using the word project. It should be initiative. It's long living. You're usually a much more adaptable. I don't know all the answers. So when I worked with you, Hayley, and you showed with me some things there, you're one of the most humble people I've met, and I loved it. But when you walked through, you walked me through the tool, it became very apparent, you know it, you feel it, you love it, it's part of you. And that to me is invigorating. It's energy. Who wouldn't want to work with somebody like you? Why not? Let's do this. Right?

Hayley Rodd:

Thank you Tony. I guess one of the things that I wanted to touch on is when you're in a team and you're coming together as a team, you're working on something, how does an individual who seeks recognition for what they're doing, how do they get that? Or how do you leave that? How do you put that ego aside and say, "I'm doing something as a team to the better of the team?" Have you ever come across that or considered that? I'm interested in your thoughts.

Tony Camacho:

So the people that I felt that needed to have that typically how I... Yes, that's a great question because I'm thinking specifically. There was one, a scrum master that I thought that did it the most amazing way ever. Basically she would call out the ideas even if it wasn't that person's, yeah. I feel that Hayley is... You're not having a good day, Hayley. You're not having a good day. And I know you are not getting used to doing, working in the scrum team. It's new to you and everything else. And what she did typically was in front of everybody would be, and it wasn't even your idea sometimes. And she would just say, and Hayley came up with this wonderful idea that's going to save us something, move us forward. Hayley said this to me, it made us think as a team. And we went around it, we talked and we did it.

And that person always usually would be like, "Wow, I got credit for something. Good scrum-masters will see that. Or good product owners will point that out." The other way that I've done it was using something like Easy Agile. It's a great tool to use, believe it or not. I would back off, I'm a developer, but I also played the role of Scrum masters for years. I would step back and I would let one of my teammates run it, hear their voice, feel empowered. It's amazing when you can have people feel empowered because what you're all talking about, there really is about a lack of trust, a lack of psychological safety. And it's for us to be an aligned team, you have to have trust there and you have to break down the fear of judgment. So the other thing that one time happened with a scrum master that I thought was wonderful was is that again against Sophia Chaley, chief stood in front of her room when there was this a bad sprint.

The sprint didn't end well. And she stood up in front of everybody and she basically went, "Sometimes you win, sometimes you learn. This was a learning sprint." She pulled up Easy Agile, she was using at a time, pulled it up, showed the things that didn't work out the way they thought they were going to work out. And she said, these are the actions we're going to take to improve this. And then when somebody who was in management, again not using the term leadership, now I'm using the term management on purpose, was looking to assign blame. Her response was, not screaming, not raising her voice. Her response was, if we need to get rid of somebody or blame somebody, blame me. But I'm here to solve the problem. Let's move forward.

Hayley Rodd:

Wow.

Tony Camacho:

She wouldn't tell. And that was to me was one of the most outstanding moments I've ever seen. And she was at that point actually using Easy Agile that wasn't a financial institution in the United States. I would let you know that teachers use it, figure it out. And she basically showed the board and just went through everything and did that. That was leadership. That was leadership. And generally your teams will follow leadership and they will suddenly step up and you'll see that that's what people who want to stand up. Now, not everybody wants to do that. Some people want to just be team members and that's okay. That is perfectly okay, but the thing that's not okay is that if they don't have trust, right? And to me, that's the biggest thing. When you have people who are resisting change or siloed in their world, they suddenly realize if you can get them to open up it's really, they're just telling you, I don't feel safe.

I've been doing this all my life. I'm great at it and now you're asking me to do this. And you need to somehow get them to get the feel that they are bringing something of value. They are helping you move forward. And you're meeting them halfway if you have to. But yeah, that's the biggest problem I've ever seen that we've always, it always comes down to the human being in that. The rest of it, you can always come, you can always change that. But there's some of the things that you also have to do. I think that some people run into Hayley that I think me and you live in our world as we're moving up is sometimes we are, there's an ambiguity of the things that we have to do. And I've seen you do that, people in our roles will have suddenly, even if it isn't part of our role, will take it on and we have to learn. That's it. But yes.

Hayley Rodd:

Yeah, I think that, yeah, it's so true that the [inaudible 00:19:23] the psychological safety needs to be there. And I think back to so many teams that I've been a part of that it isn't there. So you have to feel like you got to lay your mark or put your mark on something and show your value. Because if you're not showing your value, then you get questioned. And so I think that that's such a common thing that I see in teams and it actually creates, not a camaraderie, but a competition between teammates and it breeds the wrong environment. So it's just really interesting. One thing that I did want to touch on that you spoke a lot about a couple of questions ago was respect and making sure that teams have respect for each other. How does a team member show respect for their teammates? What are some really good examples of respect and how can we display it or embody it or enact on it as team members?

Tony Camacho:

So let me show you a lack of respect right now. Yeah. Hayley, we're talking about this.

Hayley Rodd:

Looking off camera, avoiding me. Yeah.

Tony Camacho:

One of the main things was to really to learn to listen. Sit down, believe it or not, I found the best thing is sometimes taking a deep breath, listening, not responding, recognizing what that person may be feeling and going through at that moment because it's hard what we do. It's half art and it's half science. Let them learn that making a mistake is not a failure, it's a learning moment. Have that discussion there. Take their concerns real. So it's funny because you just made me think of something. That's one thing where I could show respect to my teammates would be as a scrum master, if I was a scrum master, hold effective retros. Really listen to what they're saying in the retros, report back on the things that you said you're going to improve in the retros. So we said these are the three things we're going to improve on or these are things that are assigned to me.

Make it real. Make it a story. Show it on the board and say, "This is where we're going. This is what's happening. This is what I'm blocked by. Can somebody help me?" But I am working this for you. Get them, really be sincere. I don't mean buying pizza or bring a lot of scrum masters will bring pizza and donuts to the office. No, it's make their lives really better. Be that advocate up for them. And if you're a teammate, be an advocate for each other and be sincere. Have the bravery to stand up and say that's not a fair assessment. But the biggest thing is to really listen. Because a lot of times when somebody's saying something to me, I'll make it personal. Me, I have sometimes have, I know I'm feeling uncomfortable, but I cannot explain why. And just having you there, looking at me and talking and going through it, I suddenly realize it may have been something different and I want to hear your ideas.

But I would have to, if I wanted to show myself to help that teammate, I also got to make myself vulnerable. If you're coming to me, I should share, but I should active listen, right? And really I respect your different perspective. It's okay. We all have different perspectives. Problem I find is that in ourworld, that we're moving so fast sometimes we don't stop to listen. We lack patience. We're moving too fast. So I'll share one for you that I'll be sincere. I had something medically came up and I was being a little abrasive with the team. So finally I called a meeting with our team and they saw me cry. I was okay with it. I was like, "I had no reason to be like this. You guys were showing me love, you were showing me respect, you're backing me up, helping me with my work. And I was still being utterly terrible."

And it hurt me. It hurt that I was doing that, but I needed them to see me and I needed them to listen to me, give me that second to get it off my chest. And in the end I started crying. A 60-year-old man crying in a meeting going, "I shouldn't have done that to you. That was wrong." And it wasn't contrived. Some of the people there were 20 year old people on my team and they were in tears. And it was because they felt, they told me after this, they felt my pain that I was in, because I wanted to help. It's the most frustrating thing. To your point before, how do I feel? I wanted to help. I wanted to be there and I couldn't. Physically, I wasn't there. My mind was all over the place and I was being rude, being blunt, and I could use some other terms. Please don't. But that's really the main thing for me was it's really simple what we do. I just listen and just show respect for other people. And sometimes we forget.

Hayley Rodd:

I think that so many of the messages that you are talking about are not just for developer teams, they're for every team, every team in every walk of life. I think that they're just so fundamental to successful human relationships, whether it be personal or professional, I think so. I think there's just so many good messages. One thing that I wanted to touch on was that you're talking about active listening and when you think back on your career, and maybe this is totally off script, but when you think back on your career, how have you become a better active listener over the years? How have you improved that skill? As you said, you're an extrovert, you want to get in there, you want to fix the problem. How do you get better at that?

Tony Camacho:

I had some very, very smart people that put up with me, listened to me, and then had the courage to approach me after and teach me and teach me and didn't embarrass me in front of anybody. Did it in a manner that they said, "Do you think maybe this could have been better Tony?" As I said, I'm 61 and still I'm an extrovert and I still have high energy and I still make mistakes. As I tell everybody, every day I wake up, I make a mistake, I just got up. But I could have stayed in bed longer. But also the thing that I've learned, and it's just by the nature of getting older, it's not the age part of it. It was watching people come up trying to do the same thing I did that I failed at and I was an instructor for Microsoft for a long time.

And seeing how, because to me seeing how a person's minds works is amazing. So what happens is I'll just... You know what I tried that, it didn't work for me, but I will say after class with you to show it to me again because maybe you solved it. I'm not that arrogant. And the nature of our business is that I find this, that the more you learn, the more you realize how little you know. That was the biggest thing that opened my eyes. Now it's like, oh my Lord. You meet somebody like John Kern, you meet somebody like Sophia Chaley who come from different perspectives, brilliant people, and you suddenly see that they happen to do things slightly different and you just watch them and you're like, "Wow." And the thing that I love about our job, which I guess you must love, everywhere we go, every team we work with, it's different. It's different.

Everybody always asks me, how do you do that. And I'll tell them, "Look, I will share with you the ways I did it. I have a varied background. I've always been consulting." I've done the ATM space, I did for space enabled warfare, I've done for health industry, everyone's been different. Someone from government regulation, but most of the time different human beings. So I have a saying, I've earned every scar in my back, their minds. I've learned people, you have to give people the chance to have their scars. Yes, it may be pain, I'm not saying fail, I won't let them fail. But sometimes people want to do something. So that's the way I would do it. Let them do it. And I just watched and learned that what happened was as I went in and the more I learned and I suddenly realized how little I know, I was like, I started with FORTRAN, I used to work in the dead 28.

And then you start working your way up and you start realizing, "Wow, I don't know as much as I thought I know." And I had the luck of running into working at Microsoft and having the pleasure of meeting Bill Gates. Now, no matter what you say about Bill Gates, because a lot of people do say some crazy things and some of them may be true or may not. But the one thing you can't take away from him is you go into a room with him and you suddenly see how he puts all these ideas together and comes up with a bigger picture. You suddenly realize, "Wow, people tell me I'm really smart, not that smart." And then you learn, humility is a good thing.

Hayley Rodd:

Yeah, I think humility is just such an important asset to have and to try and grow on because leaving your ego at the door and being open to learn from other people and not think that everything is definitely a life lesson that sometimes you need to go through. And some people go through it and still don't take away the life lesson. So yeah, I think it's so interesting. I guess we don't have too much longer left, but I wanted to touch on thinking about it from an ROI perspective. How important is team alignment from a return on investment? What do you gain from a business perspective when you have an aligned team?

Tony Camacho:

So I'm going to use a term that I dislike and Hayley, you can smack me the next time we meet. But I'm trying to use it as, I don't because it's effective resource utilization, right? But I'm not referring to human beings to that point because it may be human beings. The problem is that's a large market. But as Agile people I won't refer to you as a resource, I refer to you as a fellow human being, you are a partner on my team. You're my teammate. You're not a piece of wood. But that is unfortunately a term that is used. And we will have effective utilization, we'll have common goals across our organization. If you're using any of the message less, bad, safe, pick it, you start focusing on your value streams. You should have improved product quality because we have the same cadence. We're putting things out there and we're having the same views there.

You'll have I think better customer satisfaction and loyalty. They start seeing your product quality going up, being consistent, look and feel and hopefully you are delivering what they want. When you have your teams aligned, you're much more adaptable. Hayley, your team's got capacity? I don't. We don't have capacity to do this. Do you have capacity? Yes I do. Or we find someone or we break it down together and we present an idea to our partners. That's the things I like and I think in the end you have reduced risks at that point.

Also, I think that the thing that they have in is that it's indirect, but nobody knows about. Nobody really talks about it is that if I was upper management C-suite, when we start doing this and we're having the teams aligned, first of all, your teams become safer, your teams feel more comfortable, they're working with the same people. They start becoming very effective and they start producing ideas. They're the knowledge workers. They know this better than anybody else and then they feel empowered to share ideas. The places that I thought that I had the best teams was once they asked... Well, and I got it, I don't know how, I was running a train and they asked to talk to the CTO and all they wanted to do was to talk to the CTO and make that person human. They asked her what she did in a previous job. Amazing. She worked as a factory worker and she also worked in construction. She used to drive, one of the things, nobody would've believed this. And what happened was they started sharing ideas with her and she embraced them. You know what that did to the team, the teams all, they were like, now that's out there, that's ours. Look at that. That was ours. I mean ownership, it's unbelievable.

And unfortunately we are working on a capitalist market, which is fine, that's who we are. I mean we're in IT, it's a return on investment. Return on investment in the end, you start seeing much more efficient use of your money, much more efficient use of your dollars. Also, I would also imagine for the people above who are in the C-suite, they suddenly realize that the organization is going in the same direction. I think psychologically they feel that we now I have this team behind me pushing towards the same goal where a lot of times, every time I do an agile transformation, the first thing we always hear is we know they're working. We don't know what they're working on. And that's where something like Easy Agile bridges that and then you can use that information to go further. And that's wonderful because then at that point, everybody's on the same page. So you're a team now all the way from top to bottom. As opposed to I'm going to my team at work and that's it. So it's just really about return on investment, making sure that we are hitting our customers with everything we got. And I don't mean in a bad way, but we're delivering for our customers with everything we got. It's now efficiency, right? And that's it. That's about it.

Hayley Rodd:

Yeah, that's so powerful. I think it sort of nicely ties everything together because we've talked about a lot of things in the last half hour or so. And I think that at the end of the day, if you can get team alignment, just as you said, there's this ROI that can really shine through and it's a powerful thing for the whole organization to get right and to see the fruits of that work. So one last thing. Can you share your perspective on PI planning? I know you just mentioned safe a little bit for being the initial launchpad for team alignment.

Tony Camacho:

I love it. You have everybody in the room, you get to meet the people, you start making those connections to people. You start seeing them as human beings, not as this email or this text that you're sending across that you're going through there. So could I share one real experience from that? That's a PI planning house.

Hayley Rodd:

Please

Tony Camacho:

Do. So when I was working at Microsoft, I work for product quality online, which I know right now, considering the problems Microsoft is having, you're pretty much going now, "You suck Tony."

Hayley Rodd:

Never.

Tony Camacho:

No, we had our people distributed all over the world. And what was happening was that when I would talk to my short teams, I would ask them, and I was being facetious at a point because I just couldn't get the true answer was I would ask him, can you build the Twin Towers by tomorrow? And the answer would inadvertently be yes. Next day would come. Obviously you can't do the twin towers overnight. Ask them again, will you get it by next week? The answer would be yes. And they were feel for all of that. So when we had the PI planning, we did.

Microsoft went, got a hotel room in Seattle, a hotel room, a hotel in Seattle, rang our offshore teams. And then when they got to see me in person, they suddenly realized that I wasn't telling them I need the twin towers by tomorrow. I really wanted them to tell me when they could get me the twin towers. And I would defend it because they saw me right there in PI planning, defending, saying, "No, this is not possible." And when they saw me doing that, suddenly it was like the sky's open, sun's came through and now I was getting true answers. And what happened was it gave him an opportunity. And I realized that guys, you keep hearing me as sermon. It's always about the human beings, it's about those connections. It's about seeing the people. It's hard. It's two days of a lot of work. But once you get that work done, you come out of there a line, sharp direction. We know what our north is, now, do we know exactly where our true north is? As an agile team, we shouldn't, right? We should be refining it as we get there.

Find out exactly. But we know more or less where the direction is. We more or less know we're all on the same page. We all know that what we have to deliver to make this work out what other people have to deliver for us or we have to deliver for other people. So we suddenly feel part of something bigger. Bigger, right? We are now talking to the, if you're a developer or an engineer, software engineer, you're starting to see the power brokers and why they're doing this. You get the chance to ask them questions. What more could you ask for, right? I finally get to see the people who are making the decisions and I can ask them why. And they can tell me what the business value is and I can make the argument to them that maybe I don't think that's as much business value or we need to fix these things first before we can get that right and move our way on. What more could I ask for? I have an opportunity to make my case and I get to see the other people I'm working with. It becomes, when you're dealing with 125 people and you're on a train, you will become family.

We spend more hours sometimes with these people than we do with our family members at times. And it also gives you a sense of... Besides trust, a sense of a safety. You know it's not just you, it's all of us. So the saying that usually I see that the better executive say, I heard that in one PI planning, you fail, I fail. I fail, you fail. My job is to keep you employed. Your job is to keep me employed and to keep this company together. It's synergy, right? So it's amazing.

Hayley Rodd:

Beautiful.

Tony Camacho:

Yeah, I know. I'm all about the human. Sorry.

Hayley Rodd:

No, I am right there with you. I'm so glad that we got to have this conversation. We've talked a lot over the little while and every time we meet, I'm flabbergasted by your energy and your authenticity. And I think that this conversation that really shown true, so thank you Tony for taking the time to be with us. I'm going to say goodbye to all our listeners. I'm going to say another big thank you to Tony. So Tony is part of aligned agility and that is part of The Adaptivist Group. And yeah, thanks Tony for being here with us and thank you for everyone who has tuned in and listened to this episode of the Easy Agile Podcast. Thank you.

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.