Easy Agile Podcast Ep.25 The Agile Manifesto with Jon Kern
"Thoroughly enjoyed my conversation with Jon, he shared some great perspectives on the impact of the Agile manifesto" - Amaar Iftikhar
Amaar Iftikhar, Product Manager at Easy Agile is joined by Jon Kern, Co-author of the Agile Manifesto for Software Development and a senior transformation consultant at Adaptavist.
Amaar and Jon took some time to speak about the Agile Manifesto. Covering everything from the early days, ideation, process, and first reactions, right through to what it means for the world of agile working today.
They touch on the ideal state of an agile team, and what the manifesto means for distributed, hybrid and co-located teams.
We hope you enjoy the episode!
Transcript
Amaar Iftikhar:
Hi everyone. Welcome to the Easy Agile Podcast. My name is Amaar Iftikhar. I'm a product manager here at Easy Agile. And before we begin, Easy Agile would like to acknowledge the traditional custodians of the land from which we broadcast today, the people of the Dharawal speaking country. We pay our respects to elders past, present, and emerging. And extend that same respect to all Aboriginal, Torres Strait Islander, and First Nations peoples joining us today.
Today, we have on the podcast Jon Kern, who is the co-author of the Agile Manifesto for Software Development and an Agile consultant. If you're wondering, you're correct. I did mention the Agile Manifesto for Software Development. The Agile Manifesto. So Jon, welcome for being here and thank you for joining us.
Jon Kern:
Oh, my pleasure, Amaar. Thank you.
Amaar Iftikhar:
Yeah, very excited to have you on. Let's just get started with the absolute basic. Tell the audience about, what is the Agile manifesto?
Jon Kern:
Well, it's something that if you weren't around, and I know you're young, so you weren't around 21 years ago, I guess now, to maybe understand the landscape of what software development process and tooling and what most of us were facing back then, it might seem like a really obvious set of really simple values. Who could think that there's anything wrong with what we put into the manifesto? But back in the day, there were, what I practiced under as a... I'm an aerospace engineer, so I was in defense department work doing things like fighter simulation, F-14 flat spins and working with a centrifuge and cool stuff like that. And subject to a mill standard specification, which makes sense for probably weapons systems, and aircraft manufacturing, and all sorts of other things. But they had one, lo and behold, for software development. And so there was a very large, what I would call heavy handedness around software development process. We call it heavyweight process. Waterfall was the common term back then, and probably still used today.
And there were plenty of, I would say the marketing juggernaut of the day, IBM and Rational unified process, these large, very much like Safe. Where it's a really large body of work, awesome amount of information in it, but very heavy process even though everything would, say you tailor it, it could be whatever you wanted. I mapped my own lightweight process into REP for example. Sure. But the reality was we were facing kind of the marketplace leader being heavyweight process that was just soul crushing, and from my perspective, wasting taxpayers' money. That was kind of my angle was, well, I'm a taxpayer, I'm not going to just do this stupid process for process sake. That has to have some value, has to be pragmatic. So lo and behold, there were a handful of us, 17 that ended up there, but there are a handful of us that practiced more lightweight methods. So the manifesto was really an opportunity for coming together and discovering some of the, what you might think of as the commonality between many different lightweight practices. There was the XP contingent. I first learned about Scrum there, for example. Arie van Bennekum, a good friend, he taught us about DSDM. I don't even remember what it stands for anymore. It was a European thing.
Alistair and Jim Highsmith, they had, I forget, like crystal methodologies. So there was a fair amount of other processes that did not have the marketing arm that erupted, or didn't have the mill standard. So it was really all about what could we find amongst ourselves that was some sort of common theme about all these lightweight processes. So it was all about discovering that, really.
Amaar Iftikhar:
You all get together, the principles kind of come to fruition, and let's fast forward a little bit. What was the initial reaction to the original manifesto?
Jon Kern:
Yeah, it was even kind of funny that the four values, the four bullets is as simple as it was. The principles came a bit later. I want to say we collaborated over awards wiki, but the original... If you go to Agile uprising, you can see I uploaded some artifacts, because apparently I'm a pack rat. And I had the original documents that Alistair probably printed out, because he was the one... He and Jim lived there near Salt Lake City. So it was like, "Hey, let's come here." And we like to go skiing, so let's do it here. So he arranged the room and everything. And so there's some funny artifacts that you can find. And the way that it actually came about was an initial introduction of each of us about our methods. And really I think a key, we left our egos at the door. I mean I was a younger one. Uncle Bob, some of these, he was at Luminar, I know I have magazines still in the barn that he was either the editor of, or authors of for people who don't remember what magazines are. Small little booklets that came out. So Uncle Bob was like, Ooh, wow, this is pretty cool.
And I wasn't shy because I had a lot of experience with heavyweight methods. So I really wanted to weigh in on... Because I had published my own lightweight method a few years earlier. So I had a lot of opinions on how to avoid the challenges of big heavyweight process. So the culmination as we were going out the door and after we had come up with the four values was I think Ward said, "Sir, want me to put this on the web?" And again, this is 2001 so dot com and the web's still kind of new so to speak. And we're all like, yeah, sure, why not? What the hell, can't hurt. We got something, might as well publish it. I don't think to a person, anybody said, "Oh yeah, this is going to set the world on fire because we're so awesome." And we were going to anoint the world with all of this wonderful wisdom. So I don't think anybody was thinking that that much would happen.
Amaar Iftikhar:
Yeah. So what were you thinking at that time? So how would the principles that you had come up with together, was that maybe just for the team to take away? Everyone who was there? What was the plan at that time?
Jon Kern:
I think it was a common practice. Like I said, there were other groups that would often meet and have little consortiums or little gatherings and then publish something. So I think it was just, oh yeah, that's a normal thing to do is you spent some time together and you wrote things down, you might as well publish it. So I think it wasn't any deeper than that other than Bob, I think Bob might say that he wanted to come up with some kind of a manifesto of sorts or some kind of a document because that's I think what those sort of... I was never at one of those gatherings, but you know, you could see that they did publish things. I have a feeling it was just something as innocent as, well we talked, wrote some things down, might as well share it.
And then the principles, there were a lot of different practices in the room. So some of what I would say the beauty of even the values page is the humility at the top is it's still active voice. We are uncovering not, hey all peasants, we figured it all out. No, we're still uncovering it. And the other thing is by doing it, because I'm still an active coder. And plus we value this more on the left, more than on the right. Some people might say it's a little ambiguous or a little fuzzy, but that's also a sign of humility and that it's not A or B. And it really is fuzzy, and you need to understand your context enough to apply these things. So from a defense department contracting point of view, certainly three of the four bullets were really important to me because I learned... Sure, we did defense department contracting. But it's way more important to develop a rapport with the customer than it is... Because by the time you get to the contract you've already lost, which goes along with developing a rapport with the customer, the individual.
And one of Peter Codes, when we worked with customers and whatnot, one of our mantras was frequent tangible working results, AKA working software. You can draw a lot and you can do use cases for nine months, but if you don't have anything running, it's pretty, I would guess risky that you don't have anything, no working software yet. So it really was I think an opportunity to share the fact that some people thought two weeks and other people thought a month. Even some of the print principles had a pretty good wide ranging flexibility so to speak. That I think is really important to note.
Amaar Iftikhar:
Yeah, no, absolutely. And it makes sense. Did you or anyone else in the room at that time ever imagine what the impact downstream would be of the work that was being done there?
Jon Kern:
Not that I'm aware of. I certainly did not. I remember a couple times in my career walking in and seeing some diagrams when I worked with the company Together Soft, and we'd build some cool stuff and I'd see people having some of the... Oh yeah, there's a diagram I remember making on their wall. That's kind of cool. But nothing near how humbling and sort of satisfying it is. Especially I would say when I'm in India or Columbia or Greece, it almost seems maybe they're more willing to be emotional about it. But people are, it's almost like they were freed by this document. And in some sense this is a really, really tiny saying it with the most humility possible. A little bit like the Declaration of Independence, and the fact that a handful of people... And the constitution of the United States. A handful of people met in a moment of time, never to be repeated again and created something that was dropped on the world so to speak, that unleashed, unleashed a tremendous amount of individual freedom and confidence to do things. And I think in a very small, similar fashion, that's what the manifesto did.
Amaar Iftikhar:
As you mentioned, there was a point in time when the manifesto was developed and that was almost over 20 years ago. So now the way of working, and the world of working has drastically changed. So what are your thoughts on that? Do you see another version coming? Do you think there are certain updates that need to be made? Do you think it's kind of a timeless document? I'd love to hear your thoughts on that.
Jon Kern:
Yeah, that's a good question. I personally think it's timeless and I welcome other people to create different documents. And they have. Alistair has The Heart of Agile, Josh Kerievsky's got Modern Agile.
There's a few variations of a theme and different things to reflect upon, which I think is great. Because I do believe, unlike the US Constitution, which built in a mechanism to amend itself, we didn't need that. And I believe it captured the essence of how humans work together to produce something of value. Mostly software, because that's what we came to practice from, is the software experience. But it doesn't take a lot of imagination to replace the word software with product or something like that and still apply much of the values that are there with very, very minor maybe adjustments because frequent tangible working results.
There might have to be models, because you're not going to build a skyscraper and tear it down and say, "Oh, that wasn't quite right," and build it again. But nonetheless, there are variations of how you can show some frequent results. So I think by and large it's timeless. And I would challenge anybody. What's wrong with it? Point out something that's somehow not true 20 years later. And I think that's the genius behind it was we stumbled on... And probably because most of us were object modelers, that's one of the things we're really good at, is distilling the essence of a system into the most critical pieces. That's kind of what modeling is all about. And so I think somehow innately, we got down to the core bits that make up what it is to produce software with people, process and tools. And we wrote it down. That's why I think it's timeless.
Amaar Iftikhar:
Yeah, no absolutely. I think that was a really good explanation about why it's timeless. I think one of the principles that comes to mind in a kind of modern hybrid or flexible working arrangement is one of the principles talks about the importance of face to face conversations. And in a world now where a lot of conversations aren't happening physically face to face, they might be happening on Zoom. Do you think that still applies?
Jon Kern:
Yeah, I think what we're finding out with... Remote was literally remote, so to speak, back 20 years ago. I was working with a team of developers in Russia and we had established enough trust and physical... I would travel there every month. So kind of established enough of a team, and enough trust in the communication that we could do ultimately some asynchronous work because different time zones. And me being in the east coast. 7:00 AM in the US was maybe 3:00 PM in Russia if I recall. St. Petersburg. So we were able to overcome the distance, but it's hard to beat real life. And I would often sometimes even spar a little bit with Ron Jeffries that on the one hand you could say the best that you can do is in person. But on the other hand, I could argue a little bit of some of the remoteness makes things... You have to be a little more verbose, possibly a little more precise, but also a little more verbose. A little more relaxed with... You might take a couple of passes to get something just because, I mean there are two time zones passing in the night. But that was based off of some often initial face to face meetings, and then you could go remote and still be successful and highly effective.
So I think it's important that teams don't just say that they can still do everything. And zoom is way better than 20 years ago, admittedly. Zoom gets, at least you can see a face. But nothing replaces the human contact. And I think also for wellbeing, I think human contact is important. So I would still say that the interaction aspect in the manifesto is still best served with a healthy dose of in-person. And that's kind of the key about most things in Agile. It's to me it's about pragmatism, and not just being dogmatic but rather, what might work better for us? And even experimenting with try something a little bit and see how that works. So even how you treat the manifesto, you should treat it in an Agile manner so to speak.
Amaar Iftikhar:
Yeah, no absolutely. That's a great point. On that note, as an Agile consultant or the Agile guy, what have you seen are the best practices or what works, what doesn't work for distributed teams?
Jon Kern:
Well I think the things that are most challenging that I've run across big companies and even smaller ones is that... I don't know if it's natural, God forbid if it's natural, but tendencies that I've seen in some companies to set up silos where you're the quality control, you're the UX, you're the front end, you're the back end, makes my headwater explode. Because that's building in a lag and building in communication roadblocks and building in cooperation which is handed offs from silo to silo, versus collaboration. So I've seen more of that. And I get it, you might want to have a specialty, but customer doesn't care. Customer wants something out the door. If I showed up and I'm going to pull a feature off the stack, what do you mean I can only do part of it? I don't get that. And yeah, I know I'm not an expert in everything but we probably have an expert that we can figure out what the pattern is. So I find that sort of trend, I don't know if it's a trend, but I find that's a step backwards in my opinion. And it's better to try to be more cross-functional, collaborative, everybody trying to work to get the feature out the door, not just trying to do your little part.
Amaar Iftikhar:
Yeah, a hundred percent. I think knocking on silos is a big part of being agile, or even being digital for that matter. And often the remedies for it too are there at hand, but it's a lot harder to actually be practical with it, to actually implement it in an organization, a living, breathing business where there's real people and there's dynamics to deal with, and there's policies and processes to follow. So I guess as generic as you can be, what is your thought as an Agile consultant to a business that's kind of facing that issue?
Jon Kern:
One of the things that... Adaptive is what my colleague John Turley has really opened my eyes to. I tend to call it the secret sauce, or the missing piece to my practice. And it has to do with individual's mindset and what we call vertical development. So it might sound like weird wishy-washy fluffy stuff, but it's actually super critical. And I've always said people, process, and tools for, I want to say since late nineties probably, I mean a long time. And the first I've been able to realize why sometimes I would have just spectacular super high performing teams and other times it'd be just really, really well performing but not always that spark and sometimes kind of like, eh, that was a little meh. And a lot of it comes down to where people lie on in terms of how they make their meaning and what their motivational orientation is, command and control versus autonomy.
So what we do is we've learned that we can help people first off recognize this exists, and help people with what we call developmental practices. Something that, even the phrase, you probably heard it, like safe experiments. Failure, or trying something and failing. Well if you chop someone's head off for it, guess what? They're just going to probably stay pretty still and only do what they're told, not try to... I have a super high dose of autonomy in me, so I've long lived by the, better to beg forgiveness than ask permission, and always felt as long as I'm trying to do the right thing to succeed and do the best for the company, they probably won't fire me if I make a mistake. But not everybody has that amount of freedom in the way they work. So you have to help establish that as management, and that's a big thing that we work with, with teams.
And then we also start with the class. If you've ever watched office space, and if you haven't you should, but the, what is it that you do here? So there's a great, the consultants Bob and Bob coming in, the efficiency consultants, "So Amaar, what is it that you do here?" But literally that's something, whether we're helping teams build a new product, is okay, what's the purpose? What's the business purpose of this product? What is it that you do here? What do you want to do with this product? What value does it provide? Same thing with anything you're working with as a team. And that's why whether it's software, producing some feature that has an outcome that provides value to the customer, or some product. But the point is if you don't understand that, now it's making, the team is going to have a real hard time being able to make decisions which are helping us move forward.
So if you help everybody understand what it is we're here to do, and then try to get the folks that might reflect all the different silos if you're siloed, but all the different elements. How do we go from an idea to cash, so to speak, or idea to value in the customer's hand? And have a good look at that. Because there are so many things that just sort of... Technical data often creeps into software code bases. And the same thing, we sort of say the organizational debt, the same thing can happen. Your process debt. You can just end up with, all right, we want the development team to go faster, John and company, can you come in and help coach us? We want to go agile. Sure, okay yeah. All right. We roll up our sleeves, we look around and after an initial kind of value stream look, like, wait I'm sorry but there's a little tiny wedge, it's about 15%, that's the development. And then you spent the 85% thinking about it.
Let's pretend we could double the speed of development. Which was initially the... Yeah, we need the developers to code faster or something. That's a classic. And no you don't, you need to stop doing all this bullshit up front that's just crazy ass big waterfall project-y stuff with multiple sign-offs. And matter of fact, one of the sign-offs, oh my gosh it only meets once a week, and then if you have a typo in it, you get rejected. You don't come back for another... Are you insane? You spent eight months deciding to do eight weeks worth of work. Sorry, it's not the eight weeks. So things like that, what I recommend anybody self inspect is try to... If you're worried about your team, how you can do better is just start trying to write down what does your process step look like and what is a typical time frame?
How much time are you putting value into the... Because a lot of times people batch things up in sprints. That's a batch, why are you putting things in a batch? Or they have giant issues. Well that's the big batch. So there's lots of often low hanging fruit. But to your point, it's often encrusted in, this is the way we work and nobody feels the ability to change or even to stop and look to see how are we working. So I think that's where we usually start is let's see how you actually work today. And then while we're doing that you can spill your guts, you can tell us all the things that hurt and that are painful and then we'll try to design a better way that we can move towards, in terms of working more effectively. Because our goal is to help teams be able to develop ways to do more meaningful and joyous work, really. Because it's a lot of fun when it's clicking and when you're on a good team and you're putting smiles on the customers' faces, it's hard to almost stay away from work because it's so much fun. But if it's not that, if it's drudgery and you're just a cog in the machine and stuff takes months to get out the door, it's a job. It's not that much fun.
Amaar Iftikhar:
Yeah. A lot of the points that you mentioned there strongly resonated with me, and the common pain points. It sounds like you've kind of seen it all. And by the way if you haven't seen office space, definitely need to watch it. It's a really good one. You've mentioned now a lot about of the element of the challenges that a distributed team faces. Now I want to flip it over and ask you what does the perfect distributed team look like today that lives and breathes agile values?
Jon Kern:
Yeah. I don't know if you can ever have such a thing, a perfect of any kind of team. So I would say harking back to the types of distributed teams that I've worked with, and this goes back to the late nineties. So I've been doing this for a long, long time. Only really done remote, whether it was with developers in Russia or down in North Carolina, or places like that. And I think that the secret was having a combination of in-person... If you want to go somewhere as a group, there are things you can do to break the ice, to establish some, what you might call team building type activities.
And not just, hey let's go do a high ropes course and be scared out of our wits together. But rather also things that are regarding why are we here, what are we trying to achieve? And let's talk about whether it's the product we're trying to build, and take that as an opportunity to coalesce around something and get enough meat on the bone, enough skeletons of what it might look like. Because there's good ways to start up and have a good foundation. And that's part of what I've been practicing for decades. If you get things set up properly with understanding that just enough requirements, understanding... And I do a lot of domain modeling with UML and things like that, just understanding what the problem domain is that we're trying to solve to achieve the goals we're looking for, have a sense of the architecture that we want. So all those things are collaborative efforts.
And so if you have enough of a starting point where you've worked together, you come in and, let's say you even had to go rent someplace, because nobody lived near office, so you all flew somewhere. I mean that's money well spent in my opinion. Because that starts the foundation. If you've broken bread so to speak, or drank some beers, or coded together and did stuff, and then you go back to your remote offices to take the next steps and then realize when you might need to meet again. So that's really important to understand that the value of establishing those relationships early on so that you can talk bluntly. And I have some good folks that I run a production app for firefighters since like 2006.
Amaar Iftikhar:
Yeah, very cool.
Jon Kern:
And that friend that I've worked with, we are so tight that we can... It makes our conversations, we don't have to beat around the bush, we don't have to worry about offending any, we just, boom, cut to the chase. Because we know we're not calling each other's kids ugly. We're just trying to get something done fast.
And building that kind of rapport takes time and effort and working together. And that's what I think a good successful distributed team, you need to come together every so often and build those relationships and know when you might need to come together again if something is a problem. But that I think is a key to success is it shortens the time. Because you may have heard of things like the group forms, if this is performance on the Y axis they form and they're at some performance level, then they need to storm before they get back to normal, and before they start high performing. So it's this form, storm. You get worse when you're storming. And storming means really understanding where we're at. When we argue about, I don't think that should be inheritance, Amaar. And then you're like, "Oh bull crap, it really..."
And again, we're not personal, but we're learning each other's sort of perspectives and we're learning how to have respectful debates and have some arguments, so to speak, to get to the better place. And I've worked in some companies that are afraid to storm, and it feels like you're never high performing.
Everyone's too polite. It's like, come on. And I love when I worked with my Russian colleagues. They didn't give a crap if I was one of the founders. And I'm glad, because I don't want any privilege, I don't want anything like that. No let's duke it out. May the best ideas win. That's where you want to get to. And if you can't get there because you don't have enough of a relationship, and you tend not to say the things that needed to be said because you're being polite, well it's going to take you really long to succeed. And that's a lot of money, and that's a lot of success, and people might leave.
So I think the important thing is if you're remote, that's okay, but sheer remote is a real challenge. And you have to somehow figure out, if you can't get together to learn how to form and storm, and build those bonds face to face, then you need to figure out how to do it over Zoom. Because you need to do it, because if you don't, if you never have words, then trust me, you're still not high performing.
Amaar Iftikhar:
Yeah, I kind of feel like being fully remote now is being offered as almost a competitive advantage to candidates in the marketplace now, because it's a fight for talent. But if I'm understanding correctly, what you are saying is that in-person element is so important to truly be high performing and those ideas kind of contradict each other, I feel.
Jon Kern:
Yeah. And again, having been remote since the late nineties, I've been doing this a long time. And commuting to Russia is the longest commute I ever did, for three years. I mean that's a hell of a long flight to commute there over seven times, or whatever the hell it was. Anyway, I used to say that that being remote is not for everyone, because it really isn't. I mean you have to know how to work without anybody around, and work. I mean it has its own challenges. And yeah, it might be a perk, but I think what you need to do is look at potentially what the perks are and figure out too, can I fold them into... It doesn't have to be all or nothing. And I think that can be a easy mistake to make maybe is to, all right cool, we don't have to have office space. That's a lot of savings for the company. Yeah, but maybe that means you need to have some remote workspaces for occasional gatherings, or figure it out.
But yeah, I think even... And certain businesses might work differently. In the beginning of building a product, I want to have heavy collaboration and I want to get to a point where it's almost, I feel like the product goes like this where once you get things rolling and you kind of get up, get some momentum going, now the hardest thing to do is be in front of an agile team, whether they're in-person or remote. Once things are rolling and rocking and kicking and it's like everything's clicking, you can just bang out features left, like boom, boom, boom. Yeah, okay then we probably need to be...
Unless we've got ways that we're pairing or things like that. I will say when we're together, mobbing is easier. I'm sure there's ways to do it remote, but being in a room, I don't know, it's a lot easier than coordinating over Zoom. You just, hey there's this problem, let's all hang out here after standup because we're just going to mob on this. So it doesn't take a whole lot versus anything remote, there's a little extra, okay, we've got to coordinate, and even different times zones, gets even worse. So yeah, don't get carried away with remote being the end all be all. Because I have a feeling there's going to be a... I would wager there will be a backlash.
Amaar Iftikhar:
And I'll take that back coming from the Agile, the person who does this day to day who helps teams become agile, I'll definitely kind of take your word for it. Plus with my experience too, I've seen nothing really beats a good white-boarding session. That is really hard to replicate online. I mean we have these amazing tools, but nothing quite mimics the real life experience of just having a plain whiteboard and a marker in your hand. That communication is so powerful.
Jon Kern:
Great point. You're so, right, because I had just with the one company that I was with for five years, we were doing high level engineered to order pump manufacturing sales type tool for... So it was my favorite world because it blended my fluid dynamics as an aerospace engineer, plus my love for building SaaS products, and building new software and things like that. And even having a young, we would interview at Lehigh University and we'd have some young graduates that would be working with us, and being able to bring them into the fold, and there was a room behind where my treadmill was and we'd go in there, we'd have jam sessions on modeling and building out new features. And man, you're right. Just that visceral three dimensional experience. Yeah, Miro's great. Or any other kind of tool, but yeah, it's not the same. You're absolutely right. That's a great point. You're almost making me pine for the good old days. [inaudible 00:42:04]
Amaar Iftikhar:
I think the good old days very much still exist. I think even now, it's kind of been a refreshing time for me to be with Easy Agile. I've only been here for just under two months now. And there's a strong in-person dynamic. And again, it's optional, where if people are remote or they're hybrid or they need to commute once in a while, it's a very understanding environment. But once you're in the office or you're in person, you kind of feel the effect you were describing, you're motivated to deliver for the end customer. You just want to come back. It's an addictive feeling of, I want to be back in person and I want to collaborate in real time in person.
Jon Kern:
That's beautifully said, because that's... One of the companies that we're beginning to engage with in South Africa, they're at this very crossroad of struggling with, everybody's been remote, but boy, the couple times we were together, got so much done. And you're describing the flame of, the warmth of delivering and let the moths come to the flame. I mean nurture it and then fan the flames of the good and let people opt in and enjoy it. And still sometimes, yeah, I got to say home, I got the kids or the dog, that's okay too. But giving the option I think is where we're going to head. And I believe the companies that are able to build that hybrid culture of accepting both, and neither mandating one nor the other, but building such a high performing team that basically encourages people to opt into the things that make the most sense at that time. And I think that those companies will rule the day, so to speak.
Amaar Iftikhar:
Yeah, absolutely. It's been so nice to chat with you John, and I've really enjoyed this. I want to leave the audience off with one piece of advice for distributed agile teams from you. We've talked a lot about the importance of in-person collaboration. We've talked about the principles of the agile manifesto. Now, what would the one piece of advice be when you're thinking of both? When you want the agile manifestos to be something that's living and breathing in distributed agile teams, what one piece of advice can you give businesses today right now who are going through the common struggles? What can you tell them as that last piece of advice?
Jon Kern:
Well, I think kind of a one phrase that I like to use to capture the manifesto is, "Mind the gap." In my sort of play on words, what I mean is the gap in time between taking an action and getting a response. Whether it's what do we do about the office, what do we do about remote, what do we do about this feature, what do we do about this line of code? The gap in time is, it's sort of a metaphor about being humble enough to treat things as a hypothesis. So don't be so damn sure of yourself one way or the other about the office or remote or distributed. But instead, treat things as a hypothesis. Be curious and experiment safely with different ways and see what works. And don't be afraid of change. It's not a life sentence to, you got to run your business or your project or your team one way for the rest of your life. No. Don't tell the boss, but work is subsidized learning. I never understood people who just keep doing the same thing because they weren't given permission. Just try it. So that's what my departing phrase would be regarding making those decisions. Mind the gap and really be humble about making assumptions, and test your hypotheses, and shorten the gap in time between taking actions and seeing a reaction.
Amaar Iftikhar:
Oh, that's awesome. Thank you. I really wish we could let the tape roll and just keep talking about this for a couple more hours, but we'll end it right there on that really good piece of advice that you've left the audience off with. Jon, thank you again for being on the podcast. And we've really, really enjoyed hearing you and learning from your experiences.
Jon Kern:
Oh, my pleasure. Any time. Happy to talk another couple hours, but maybe after some beers.
Amaar Iftikhar:
Yeah.
Jon Kern:
Except it's your morning, my evening. I'm going to have to work on that.
Amaar Iftikhar:
Yeah.
Jon Kern:
My pleasure, Amaar.
Related Episodes
PodcastEasy Agile Podcast Ep.34 Henrik Kniberg on Team Productivity, Code Quality, and the Future of Software Engineering
TL;DR
Henrik Kniberg, the agile coach behind Spotify's model, discusses how AI is fundamentally transforming software development. Key takeaways: AI tools like Cursor and Claude are enabling 10x productivity gains; teams should give developers access to paid AI tools and encourage experimentation; coding will largely disappear as a manual task within 3–4 years; teams will shrink to 2 people plus AI; sprints will become obsolete in favour of continuous delivery; product owners can now write code via AI, creating pull requests instead of user stories; the key is treating AI like a brilliant intern – when it fails, the problem is usually your prompt or code structure, not the AI. Bottom line: Learn to use AI now, or risk being left behind in a rapidly changing landscape.
Introduction
Artificial intelligence is fundamentally reshaping how software teams work, collaborate, and deliver value. But with this transformation comes questions: How do we maintain team morale when people fear being replaced? What happens to code quality when AI writes most of the code? Do traditional agile practices like sprints still make sense?
In this episode, I sit down with Henrik Kniberg to tackle these questions head-on. Henrik is uniquely positioned to guide us through this transition – he's the agile coach and entrepreneur who pioneered the famous Spotify model and helped transform how Lego approached agile development. Now, as co-founder of Abundly AI, he's at the forefront of helping teams integrate AI into their product development workflows.
This conversation goes deep into the practical realities of AI-powered development: from maintaining code review processes when productivity increases 10x, to ethical considerations around AI usage, to what cross-functional teams will look like in just a few years. Henrik doesn't just theorise – he shares real examples from his own team, where their CEO (a non-coder) regularly submits pull requests, and where features that once took a sprint can now be built during a 7-minute subway ride.
Whether you're a developer wondering if AI will replace you, a product owner looking to leverage these tools, or a leader trying to navigate this transformation, this episode offers concrete, actionable insights for thriving in the AI era.
About Our Guest
Henrik Kniberg is an agile coach, author, and entrepreneur whose work has shaped how thousands of organisations approach software development. He's best known for creating the Spotify model – the squad-based organisational structure that revolutionised how large tech companies scale agile practices. His work at Spotify and later at Lego helped demonstrate how agile methodologies could work at enterprise scale whilst maintaining team autonomy and innovation.
Henrik's educational videos have become legendary in the agile community. His "Agile Product Ownership in a Nutshell" video, created over a decade ago, remains one of the most-watched and shared resources for understanding product ownership, with millions of views. His ability to distil complex concepts into simple, visual explanations has made him one of the most accessible voices in agile education.
More recently, Henrik has turned his attention to the intersection of AI and product development. As co-founder of Abundly AI, he's moved from teaching about agile transformation to leading AI transformation – helping companies and teams understand how to effectively integrate generative AI tools into their development workflows. His approach combines his deep understanding of team dynamics and agile principles with hands-on experience using cutting-edge AI tools like Claude, Cursor, and GitHub Copilot.
Henrik codes daily using AI and has been doing so for over two and a half years, giving him practical, lived experience with these tools that goes beyond theoretical understanding. He creates educational content about AI, trains teams on effective AI usage, and consults with organisations navigating their own AI transformations. His perspective is particularly valuable because he views AI through the lens of organisational change management – recognising that successful AI adoption isn't just about the technology, it's about people, culture, and process.
Based in Stockholm, Sweden, Henrik continues to push the boundaries of what's possible when human creativity and AI capabilities combine, whilst maintaining a pragmatic, human-centred approach to technological change.
Transcript
Note: This transcript has been lightly edited for clarity and readability.
Maintaining Team Morale and Motivation in the AI Era
Tenille Hoppo: Hi there, team, and welcome to this new episode of the Easy Agile Podcast. My name is Tenille Hoppo, and I'm feeling really quite lucky to have an opportunity to chat today with our guest, Henrik Kniberg.
Henrik is an agile coach, author, and entrepreneur known for pioneering agile practices at companies like Spotify and Lego, and more recently for his thought leadership in applying AI to product development. Henrik co-founded Abundly AI, and when he isn't making excellent videos to help us all understand AI, he is focused on the practical application of generative AI in product development and training teams to use these technologies effectively.
Drawing on his extensive experience in agile methodologies and team coaching, Henrik seems the perfect person to learn from when thinking about the intersection of AI, product development, and effective team dynamics. So a very warm welcome to you, Henrik.
Henrik Kniberg: Thank you very much. It's good to be here.
Tenille: I think most people would agree that motivated people do better work. So I'd like to start today by touching on the very human element of this discussion and helping people maintain momentum and motivation when they may be feeling some concern or uncertainty about the upheaval that AI might represent for them in their role.
What would you suggest that leaders do to encourage the use of AI in ways that increase team morale and creativity rather than risking people feeling quite concerned or even potentially replaced?
Henrik: There are kind of two sides to the coin. There's one side that says, "Oh, AI is gonna take my job, and I'm gonna get fired." And the other side says, "Oh, AI is going to give me superpowers and give us all superpowers, and thereby give us better job security than we had before."
I think it's important to press on the second point from a leader's perspective. Pitch it as this is a tool, and we are entering a world where this tool is a crucial tool to understand how to use – in a similar way that everyone uses the Internet. We consider it obvious that you need to know how to use the Internet. If you don't know how to use the Internet, it's going to be hard.
"I encourage people to experiment, give them access to the tools to do so, and encourage sharing. And don't start firing people because they get productive."
I also find that people tend to get a little bit less scared once they learn to use it. It becomes less scary. It's like if you're worried there's a monster under your bed, maybe look under your bed and turn on the lights. Maybe there wasn't a monster there, or maybe it was there but it was kind of cute and just wanted a hug.
Creating a Culture of Safe Experimentation
Tenille: I've read that you encourage experimentation with AI through learning – I agree it's the best way to learn. What would you encourage leaders and team leaders to do to create a strong culture where teams feel safe to experiment?
Henrik: There are some things. One is pretty basic: just give people access to good AI tools. And that's quite hard in some large organisations because there are all kinds of resistance – compliance issues, data security issues. Are we allowed to use ChatGPT or Claude? Where is our data going? There are all these scary things that make companies either hesitate or outright try to stop people.
Start at that hygiene level. Address those impediments and solve them. When the Internet came, it was really scary to connect your computer to the Internet. But now we all do it, and you kind of have to, or you don't get any work done. We're at this similar moment now.
"Ironically, when companies are too strict about restricting people, then what people tend to do is just use shadow AI – they use it on their own in private or in secret, and then you have no control at all."
Start there. Once people have access to really good AI tools, then it's just a matter of encouraging and creating forums. Encourage people to experiment, create knowledge-sharing forums, share your own experiments. Try to role-model this yourself. Say, "I tried using AI for these different things, and here's what I learned." Also provide paths for support, like training courses.
The Right Mindset for Working with AI
Tenille: What would you encourage in team members as far as their mindset or skills go? Certainly a nature of curiosity and a willingness to learn and experiment. Is there anything beyond that that you think would be really key?
Henrik: It is a bit of a weird technology that's never really existed before. We're used to humans and code. Humans are intelligent and kind of unpredictable. We hallucinate sometimes, but we can do amazing things. Code is dumb – it executes exactly what you told it to do, and it does so every time exactly the same way. But it can't reason, it can't think.
Now we have AI and AI agents which are somewhere in the middle. They're not quite as predictable as code, but they're a lot more predictable than humans typically. They're a lot smarter than code, but maybe not quite as smart as humans – except for some tasks when they're a million times smarter than humans. So it's weird.
You need a kind of humble attitude where you come at it with a mindset of curiosity. Part of it is also to realise that a lot of the limitation is in you as a user. If you try to use AI for coding and it wrote something that didn't work, it's probably not the model itself. It's probably your skills or lack of skills because you have to learn how to use these tools. You need to have this attitude of "Oh, it failed. What can I do differently next time?" until you really learn how to use it.
"There can be some aspect of pride with developers. Like, 'I've been coding for 30 years. Of course this machine can't code better than me.' But if you think of it like 'I want this thing to be good, I want to bring out the best in this tool' – not because it's going to replace me, but because it's going to save me a tonne of time by doing all the boring parts of the coding so I can do the more interesting parts – that kind of mindset really helps."
Maintaining Code Quality and Shared Understanding
Tenille: Our team at Easy Agile is taking our steps and trying to figure out how AI is gonna work best for us. I put the question out to some of our teams, and there were various questions around people taking their first steps in using AI as a co-pilot and producing code. There are question marks around consistency of code, maintaining code quality and clean architecture, and even things like maintaining that shared understanding of the code base. What advice do you have for people in that situation?
Henrik: My first piece of advice when it comes to coding – and this is something I do every day with AI, I've been doing for about two and a half years now – is that the models now, especially Claude, have gotten to the level where it's basically never the AI's fault anymore. If it does anything wrong, it's on you.
You need to think about: okay, am I using the wrong tool maybe? Or am I not using the tool correctly?
For example, the current market leader in terms of productivity tools with AI is Cursor. There are other tools that are getting close like GitHub Copilot, but Cursor is way ahead of anything else I've seen. With Cursor, it basically digs through your code base and looks for what it needs.
But if it fails to find what it needs, you need to think about why. It probably failed for the same reason a human might have failed. Maybe your code structure was very unstructured. Maybe you need to explain to the AI what the high-level structure of your code is.
"Think of it kind of like a really smart intern who just joined your team. They're brilliant at coding, but now they got confused about something, and it's probably your code – something in it that made it confused. And now you need to clarify that."
There are ways to do that. In Cursor, for example, you can create something called cursor rules, which are like standing documents that describe certain aspects of your system. In my team, we're always tweaking those rules. Whenever we find that the AI model did something wrong, we're always analysing why. Usually it's our prompt – I just phrased it badly – or I just need to add a cursor rule, or I need to break the problem down a little bit.
It's exactly the same thing as if you go to a team and give them this massive user story that includes all these assumptions – they'll probably get some things wrong. But if you take that big problem and sit down together and analyse it and split it into smaller steps where each step is verifiable and testable, now your team can do really good work. It's exactly the same thing with AI.
Addressing the Code Review Bottleneck
Tenille: One of our senior developers found that he was outputting code at a much greater volume and faster speed, but the handbrake he found was actually their code review processes. They were keeping the same processes they had previously, and that was a bit of a handbrake for them. What kind of advice would you have there?
Henrik: This reminds me of the general issue with any kind of productivity improvement. If you have a value stream, a process where you do different parts – you do some development, some testing, you have some design – whenever you take one part of the process and make it super optimised, the bottleneck moves to somewhere else.
If testing is no longer the bottleneck, maybe coding is. And when coding is instant, then maybe customer feedback – or lack of customer feedback – is the bottleneck. The bottleneck just keeps moving. In that particular case, the bottleneck became code review. So I would just start optimising that. That's not an AI problem. It's a process problem.
Look at it: what exactly are we trying to do when we review? Maybe we could think about changing the way we review things. For example, does all code need to be reviewed? Would it be enough that the human who wrote it and the AI, together with the human, agree that this is fine? Or maybe depending on the criticality of that change, in some cases you might just let it pass or use AI to help in the reviewing process also.
"I think there's value in code review in terms of knowledge sharing in a large organisation. But maybe the review doesn't necessarily need to be a blocking process either. It could be something you go back and look at – don't let it stop you from shipping, but maybe go back once per week and say, 'Let's look at some highlights of some changes we've made.'"
We produce 10 times more code than in the past, so reviewing every line is not feasible. But maybe we can at least identify which code is most interesting to look at.
Ethical Considerations: Balancing Innovation with Responsibility
Tenille: Agile emphasises people over process and delivering value to customers. Now with AI in the mix, there's potential for raising some ethical considerations. I'm interested in your thoughts on how teams should approach these ethical considerations that come along with AI – things like balancing rapid experimentation against concerns around bias, potential data privacy concerns.
Henrik: I would treat each ethical question on its own merits. Let me give you an example. When you use AI – let's say facial recognition technology that can process and recognise faces a lot better than any human – I kind of put that in the bucket of: any tool that is really useful can also be used for bad things. A hammer, fire, electricity.
That doesn't have so much to do with the tool itself. It has much more to do with the rules and regulations and processes around the tool. I can't really separate AI in that sense. Treat it like any other system. Whenever you install a camera somewhere, with or without AI, that camera is going to see stuff. What are you allowed to do with that information? That's an important question. But I don't think it's different for AI really, in that sense, other than that AI is extremely powerful. So you need to really take that seriously, especially when it comes to things like autonomous weapons and the risk of fraud and fake news.
"An important part of it is just to make it part of the agenda. Let's say you're a recruitment company and you're now going to add some AI help in screening. At least raise the question: we could do this. Do we want to do this? What is the responsible way to do it?"
It's not that hard to come up with reasonable guidelines. Obviously, we shouldn't let the AI decide who we're going to hire or not. That's a bad idea. But maybe it can look at the pile of candidates that we plan to reject and identify some that we should take a second look at. There's nothing to lose from that because that AI did some extra research and found that this person who had a pretty weak CV actually has done amazing things before.
We're actually working with a company now where we're helping them build some AI agents. Our AI agents help them classify CVs – not by "should we hire them or not," but more like which region in Sweden is this, which type of job are we talking about here. Just classifying to make it more likely that this job application reaches the right person. That's work that humans did before with pretty bad accuracy.
The conclusion was that AI, despite having biases like we humans do, seemed to have less biases than the human. Mainly things like it's never going to be in a bad mood because it hasn't had its coffee today. It'll process everybody on the same merits.
I think of it like a peer-to-peer thing. Imagine going to a doctor – ideally, I want to have both a human doctor and an AI doctor side by side, just because they both have biases, but now they can complement each other. It's like having a second opinion. If the AI says we should do this and the doctor says, "No, wait a second," or vice versa, having those two different opinions is super useful.
Parallels Between Agile and AI Transformations
Tenille: You're recognised as one of the leading voices in agile software development. I can see, and I'm interested if you do see, some parallels between the agile transformations that you led at Spotify and Lego with the AI transformations that many businesses are looking at now.
Henrik: I agree. I find that when we help companies transition towards becoming AI native, a lot of the thinking is similar to agile. But I think we can generalise that agile transformations are not really very special either – it's organisational change.
There are some patterns involved regardless of whether you're transitioning towards an agile way of working or towards AI. Some general patterns such as: you've got to get buy-in, it's useful to do the change in an incremental way, balance bottom-up with top-down. There are all these techniques that are useful regardless. But as an agilist, if you have some skills and competence in leading and supporting a change process, then that's going to be really useful also when helping companies understand how to use AI.
Tenille: Are you seeing more top-down or bottom-up when it comes to AI transformations?
Henrik: So far it's quite new still. The jury's not in yet. But so far it looks very familiar to me. I'm seeing both. I'm seeing situations where it's pure top-down where managers are like "we got to go full-out AI," and they push it out with mixed results. And sometimes just completely bottom-up, also with mixed results.
Sometimes something can start completely organically and then totally take hold, or it starts organically and then gets squashed because there was no buy-in higher up. I saw all of that with agile as well. My guess is in most cases the most successful will be when you have a bit of both – support and guidance from the top, but maybe driven from the bottom.
"I think the bottom-up is maybe more important than ever because this technology is so weird and so fast-moving. As a leader, you don't really have a chance if you try to control it – you're going to slow things down to an unacceptable level. People will be learning things that you can't keep up with yourself. So it's better to just enable people to experiment a lot, but then of course provide guidance."
AI for Product Owners: From Ideation to Pull Requests
Tenille: You're very well known for your guidance and for your ability to explain quite complex concepts very simply and clearly. I was looking at your video on YouTube today, the Agile Product Ownership in a Nutshell video, which was uploaded about 12 years ago now. Thinking about product owners, there's a big opportunity now with AI for generating ideas, analysing data, and even suggesting new features. What's your advice for product owners and product managers in using AI most effectively?
Henrik: Use it for everything. Overuse it so you can find the limits. The second thing is: make sure you have access to a good AI model. Don't use the free ones. The difference is really large – like 10x, 100x difference – just in paying like $20 per month or something. At the moment, I can particularly strongly recommend Claude. It's in its own category of awesomeness right now. But that of course changes as they leapfrog each other. But mainly: pay up, use a paid model, and then experiment.
For product owners, typical things are what you already mentioned – ideation, creating good backlog items, splitting a story – but also writing code. I would say as a PO, there is this traditional view, for example in Scrum, that POs should not be coding. There's a reason for that: because coding takes time, and then as PO you get stuck in details and you lose the big picture.
Well, that's not true anymore. There are very many things that used to be time-consuming coding that is basically a five-minute job with a good prompt.
"Instead of wasting the team's time by trying to phrase that as a story, just phrase it as a pull request instead and go to the team and demonstrate your running feature."
That happened actually today. Just now, our CEO, who's not a coder, came to me with a pull request. In fact, quite often he just pushes directly to a branch because it's small changes. He wants to add some new visualisation for a graph or something in our platform – typically admin stuff that users won't see, so it's quite harmless if he gets it wrong.
He's vibe coding, just making little changes to the admin, which means he never goes to my team and says, "Hey, can you guys generate this report or this graph for how users use our product?" No, he just puts it in himself if it's simple.
Today we wanted to make a change with how we handle payments for enterprise customers. Getting that wrong is a little more serious, and the change wasn't that hard, but he just didn't feel completely comfortable pushing it himself. So he just made a PR instead, and then we spent 15 minutes reviewing it. I said it was fine, so we pushed it.
It's so refreshing that now anybody can code. You just need to learn the basic prompting and these tools. And then that saves time for the developers to do the more heavyweight coding.
Tenille: It's an interesting world where we can have things set up where anyone could just jump in and with the right guardrails create something. It makes Friday demos quite probably a lot more interesting than maybe they used to be in the past.
Henrik: I would like to challenge any development team to let their stakeholders push code, and then find out whatever's stopping you from doing that and fix that. Then you get to a very interesting space.
Closing the Gap Between Makers and Users
Tenille: A key insight from your work with agile teams in the past has been to really focus on minimising that gap between maker and user. Do you think that AI helps to close that gap, or do you think it potentially risks widening it if teams are focusing too much on AI predictions and stop talking to their customers effectively?
Henrik: I think that of course depends a lot on the team. But from what I've seen so far, it massively reduces the gap. Because if I don't have to spend a week getting a feature to work, I can spend an hour instead. Then I have so much more time to talk to my users and my customers.
If the time to make a clickable prototype or something is a few seconds, then I can do it live in real time with my customers, and we can co-create. There are all these opportunities.
I find that – myself, my teams, and the people I work with – we work a lot more closely with our users and customers because of this fast turnaround time.
"Just yesterday I was teaching a course, and I was going home sitting on the subway. It was a 15-minute subway ride. I finally got a seat, so I had only 7 minutes left. There's this feature that I wanted to build that involved both front-end and back-end and a database schema change. Well, 5 minutes later it was done and I got off the subway and just pushed it. That's crazy."
Of course, our system is set up optimised to enable it to be that fast. And of course not everything will work that well. But every time it does, I've been coding for 30 years, and I feel like I wake up in some weird fantasy every day, wondering, "Can I really be this productive?" I never would have thought that was possible.
Looking Ahead: The Future of Agile Teams
Tenille: I'd like you to put your futurist hat on for a moment. How do you see the future of agile teamwork in, say, 10 to 15 years time? If we would have this conversation again in 2035, given the exponential growth of AI and improvements over the last two to three years, what do you think would be the biggest change for software development teams in how they operate?
Henrik: I can't even imagine 10 years. Even 5 years is just beyond imagination. That's like asking someone in the 1920s to imagine smartphones and the Internet. I think that's the level of change we're looking at.
I would shorten the time a little bit and say maybe 3 or 4 years. My guess there – and I'm already seeing this transfer happen – is that coding will just go away. It just won't be stuff that we humans do because we're too slow and we hallucinate way too much.
But I think engineering and the developer role will still be there, just that we don't type lines of code – in the same way that we no longer make punch cards or we no longer write machine code and poke values into registers using assembly language. That used to be a big part of it, but no longer.
"In the future, as developers, a lot of the work will still be the same. You're still designing stuff, you're thinking about architecture, you're interacting with customers, and you're doing all the other stuff. But typing lines of code is something that we're gonna be telling our kids about, and they're not gonna believe that we used to do that."
The other thing is smaller teams, which I'm already seeing now. I think the idea of a cross-functional team of 5 to 7 people – traditionally that was considered quite necessary in order to have all the different skills needed to deliver a feature in a product. But that's not the case anymore. If you skip ahead 2 or 3 years when this knowledge has spread, I think most teams will be 2 people and an AI, because then you have all the domain knowledge you need, probably.
As a consequence of that, we'll just have more teams. More and smaller teams. Of course, then you need to collaborate between the teams, so cross-team synchronisation is still going to be an issue.
Also, I'm already seeing this now, but this concept of sprints – the whole point is to give a team some peace of mind to build something complex, because typically you would need a week or two to build something complex. But now, when it takes a day and some good prompting to do the same thing that would have taken a whole sprint, then the sprint is a day instead. If the sprint is a day, is there any difference between a sprint planning meeting and a daily standup? Not really.
I think sprints will just kind of shrink into oblivion. What's going to be left instead is something a little bit similar – some kind of synchronisation point or follow-up point. Instead of a sprint where every 2 weeks we sit down and try to make a plan, I think it'll be very much continuous delivery on a day-to-day basis. But then maybe every week or two we take a step back and just reflect a little bit and say, "Okay, what have we been delivering the past couple of weeks? What have we been learning? What's our high-level focus for the next couple of weeks?" A very, very lightweight equivalent of a sprint.
I feel pretty confident about that guess because personally, we are already there with my team, and I think it'll become a bit of a norm.
Final Thoughts: Preparing for the Future
Henrik: No one knows what's gonna happen in the future, and those who say they do are kidding themselves. But there's one fairly safe bet though: no matter what happens in the future with AI, if you understand how to use it, you'll be in a better position to deal with whatever that is. That's why I encourage people to get comfortable with it, get used to using it.
Tenille: I have a teenage daughter who I'm actually trying to encourage to learn how to use AI, because I feel like when I was her age, the Internet was the thing that was sort of coming mainstream. It completely changed the way we live. Everything is online now. And I feel like AI is that piece for her.
Henrik: Isn't it weird that the generation of small children growing up now are going to consider this to be normal and obvious? They'll be the AI natives. They'll be like, "Of course I have my AI agent buddy. There's nothing weird about that at all."
Tenille: I'll still keep being nice to my coffee machine.
Henrik: Yeah, that's good. Just in case, you know.
---
Thank you to Henrik Kniberg for joining us on this episode of the Easy Agile Podcast. To learn more about Henrik's work, visit Abundly AI or check out his educational videos on AI and agile practices.
Subscribe to the Easy Agile Podcast on your favourite platform, and join us for more conversations about agile, product development, and the future of work.
PodcastEasy Agile Podcast Ep.20 The importance of the Team Retrospective
"It was great chatting to Caitlin about the importance of the Team Retrospective in creating a high performing cross-functional team" - Chloe Hall
In this episode, I was joined by Caitlin Mackie - Content Marketing Coordinator at Easy Agile.
In this episode, we spoke about;
- Looking at the team retrospective as a tool for risk mitigation rather than just another agile ceremony
- The importance of doing the retrospective on a regular cycle
- Why you should celebrate the wins?
- Taking the action items from your team retrospective to your team sprint planning
- Timeboxing the retrospective
- Creating a psychologically safe environment for your team retrospective
I hope you enjoy today's episode as much as I did recording it.
Transcript
Chloe Hall:
Hi, everyone. Welcome to the Easy Agile Podcast. I'm Chloe, Marketing Coordinator at Easy Agile, and I'll be your host for today's episode. Before we begin, we'd like to acknowledge the traditional custodians of the land from which I am recording today, the Wodi Wodi people of the Dharawal Speaking nation and pay our respects to elders past, present, and emerging. We extend that same respect to all Aboriginal and to Strait Islander peoples who are tuning in today. So today, we have a bit of a different episode for you. I'm going to be talking with Easy Agile's very own Content Marketing Coordinator, Caitlin Mackie. Caitlin is the Product Owner* of our Brand and Conversions Team*. Now this team is a cross-functional team who have only been together for roughly six months. And within their first few months, as a team, mind you they also had two brand new employees, they worked on a company rebrand.
Chloe Hall:
A new team, a huge task, the possibility of the team being high performing was unlikely at this point in time. So, the team was too new to have already formed that trust, strong relationships, and psychological safety, but somehow they came together and managed to work together, creating a flow of continuous improvement and ship this rebrand. So, I've brought for you today Caitlin onto the podcast to discuss the team's secret for success. Welcome to the podcast, Caitlin.
Caitlin Mackie:
Thanks, Chloe. It's a bit different sitting on this side. I'm used to being in your shoes. I feel [inaudible 00:01:45]. I feel uncomfortable. [inaudible 00:01:46].
Chloe Hall:
Yeah. It's my first time hosting as well, so very strange. Isn't it? How are you feeling today?
Caitlin Mackie:
Yeah. Good. I'm excited. I'm excited to chat about our experience coming together as a cross-functional Agile team, and hopefully share some of the things that worked for us with our listeners.
Chloe Hall:
Yes, I know myself, and I'm sure our audience is very excited to hear what your team's secret to success was. Did you want to start off by telling us what was this big secret that really helped you work together as a team?
Caitlin Mackie:
That's a great question, Chloe. And that's a big question. I'm not sure if there's one key thing, I suppose, it is that ultimate secret source or that one thing that led to the success. I'm sure we all want to hear what that is. I would also love to know if there's just this one key ingredient, but I think something for us, and probably one of the most memorable things that really worked for us, and there was a lot for us to benefit from doing this, was actually doing our retrospectives. So that's probably the first thing that comes to mind when it comes to what led to our success.
Chloe Hall:
Okay. Yeah. In the beginning, why did you start doing the retrospectives?
Caitlin Mackie:
So, we were a new forming team, like you mentioned before, and we seen retrospectives as another Agile ceremony, and we saw other teams doing it and they were having a lot of success from it, so we became to jump on that bandwagon. And I think with being a new forming team, there are so many things that come into play. So, you're trying to figure each other out, how we all like to work and communicate with each other, all of that. And we were the first ever team dedicated to owning and improving our website. And we also knew it was likely that we'd be responsible for designing and launching a rebrand.
Caitlin Mackie:
So when you try and stitch all of that together, and then consider all those elements, we knew that we needed to reserve some time to be able to quickly iterate and call out what works and what doesn't. And what we did understand is that retrospectives are a great opportunity for the whole team to get together and uncover any problematic issues and have an open discussion aimed at really identifying room for improvement, or calling out what's working well, so we can continue to do that. So, I think retros allowed us to understand where we can have the most impact and how to be a really effective cross-functional Agile team.
Chloe Hall:
Wow. That is already so insightful. Yeah, it sounds like the retrospectives really helped you to gain that momentum into finding who your team is, becoming a well-working, high-performing cross-functional team. So, how often were you doing the retro? Were you doing this on a regular cycle, or was it just, "Okay. We have a problem. Some blockers have come up, we need to do a retro"?
Caitlin Mackie:
Yeah. I think initially retro, we kind of viewed retros as this thing where like, "Oh, we've done a few sprints now. We should probably do a retro and just reflect on how those few sprints went." It was kind of like this thing. It was always back of our mind. And we knew we needed to do it, but weren't really sure about the cadence and the way to go about it. So now, we do retros on a Friday morning, which is the last day of our weekly sprint. And then we jump into sprint planning after that. So after bio break as well, so let the team digest everything we talked about in retrospectives. And then we come into sprint planning with all the topics that we're discussed, and we will have a really nice, fresh perspective.
Chloe Hall:
Yeah.
Caitlin Mackie:
So, I think this works really well for us because everything is happening in a timely manner. We've just had a discussion about the best things that happened in the sprint or what worked really well, so you want to make sure you can practice the same behavior in the following, and vice versa for the improvements that you want to make. So, that list of action items that come out of a retrospective provide a really nice contact, context, sorry. And you have them all in mind during sprint planning.
Caitlin Mackie:
So for example, in the previous sprint, it might have come up that you underestimated your story points or there wasn't enough detail on your user stories. So, with each story or task that you are bringing into the sprint, you're then asking the question, is everyone happy with the level of detail? What are we missing? Or we've only story pointed this or two, is it more likely to be a five? So, everything is really fresh in your mind, and I definitely think that helps create momentum. When you've got the whole team working to figure out how you can be more effective with every sprint.
Chloe Hall:
That's such a great point that you just made Caitlin. And I love how going from doing the team retrospective, that you actually can take those action items and go into your sprint and put them into place straight away. It's really good. Otherwise, I feel like if you do the sprint retrospective on the Friday, and you're like, "Okay, these are our action items," get to Monday sprint planning and you're just thinking of the weekend. That [inaudible 00:07:20]
Caitlin Mackie:
Yeah, a hundred percent. Yeah. They're super fresher mind for everyone. So, it might not work for every team, but we find it works really well for us, because we're being really deliberate with how we approach sprint planning.
Chloe Hall:
Yeah. And then with that, I could see how doing the retro, how it could easily go over time, but then your team has sprint planning scheduled after. So, it's like you can't go over time. How have you managed to kind of time box that retrospective?
Caitlin Mackie:
Yeah, that's a really, really good question. And it is on purpose as well that they are scheduled closely together. Som as mentioned above, the discussion you've had in the retrospectives provides a nice momentum going to the sprint planning, but it does mean we have to watch the clock. And initially, this can be quite awkward, because you want to make sure that everyone feels heard and that everybody has the same opportunity to contribute. And I think this responsibility falls on the scrum master, or the product owner, or whoever's facilitating the retrospective to call it out and make sure everyone has the chance to be heard. You'll naturally have people tell the longer story or add a lot of extra context before getting to the point. And then you'll have others that will be a lot more direct. And I'm a lot like the latter. I struggle to get to the point, which doesn't work well when you're trying to time box a retrospective, right?
Chloe Hall:
And I can relate, same personality.
Caitlin Mackie:
Yes. So with this, I think it really comes down to communicating the expectation and the priority from the get go. With our team and with any team, you will want to figure out who you can perform really well and continually improve to exceed expectations and be better and learn and grow together. And I think if you all share that same mindset going into the retrospective and acknowledging that it's a safe
space to have difficult conversations. And as long as you're communicating with empathy, the team knows that it's never anything personal, and it's all in the best interest of the team. And that then helps the less direct communicators, like myself, address their point more concisely and really forces them to be more deliberate and succinct with their communication style.Caitlin Mackie:
And that's really key to being able to stick to that time box, I think. And it does take practice, because it comes down to creating that psychological safety in your team. But once that's there, it's so much easier to call out when someone's going down a windy track, and bring the focus back and sort of say, "I hear you, what's the action item?" And just become a lot more deliberate.
Chloe Hall:
Wow. I couldn't even imagine like how hard it would be, with the personalities that yourself and I have, just trying to be so direct and get rid of all the fluffy stuff. I mean, look at what it's done to form such an amazing team that we have. So, you mentioned that aspect of psychological safety before. And how do you think being in a new cross-functional team... Only six months together, you had those new employees, do you think you were able to create a psychological safety space at any point?
Caitlin Mackie:
That's another fantastic question. And I feel like, honestly, it would be best to have a team discussion around this. It'd be interesting to hear everybody's perspectives around what contributes to that element of psychological safety and if everybody feels the same. So, I can't speak for the team, but my personal opinion on this or personal experience is that creating an environment of psychological safety really comes down to a mutual trust and respect. And at the end of the day, we all share the same goal. So, we all really, really respect what each other brings to the table and understand how all of these moving parts that we are working on individually all come together to achieve the goal. So, when we're having these open discussions in retros, or not even in retros, just communicating in general really, it's clear that we're asking questions in the best interest of the team and individual motives never come into play, or people aren't just offering their opinion when it's unwarranted or providing feedback, or being overly critical when they weren't asked to do so.
Caitlin Mackie:
So, none of those toxic behaviors happen, because we all respect that whatever piece of work is in question or the topic of discussion, the person owning that work, at the end of the day, is the expert. And we trust them, and we don't doubt each other for a second. And I think the other half of that is that we're also really lucky that if something doesn't go as we planned, we're all there to pick each other up and go again. So, this ties quite nicely into actually one of our values at Easy Agile is commit as a team. And this is all about acknowledging that we grow and succeed when we do it together, and to look after one another and engage with authenticity and courage. Som I may be biased, but I wholeheartedly believe that our team completely embraces that. And there's just such an admiration for what we all bring to the table, and I think that's really key to creating the psychological safety.
Chloe Hall:
I love that your team is really embracing our value, commit as a team and putting it into place, because that's what we're all about at Easy Agile, and it's just so great to see it as well. I think the other thing that
I wanted to address was... So again, during this cross functional team, and you've got design and dev, how do you think retros assisted you in allowing to work out what design and dev needed from each other?Caitlin Mackie:
For sure. So, for some extra context for our listeners as well, so in our team, we've got two developers, Haley and David, and a designer, Matt and myself, who's in the marketing. So, we're very much a cross-functional little mini team. So, we all have the same goal and that same focus, but we also are all working on these little individual components that we then stitch together. So,, I think... We doing retros regularly. What we were able to identify was a really effective design and development cycle. So, we figured out a rhythm for what one another needed at certain points. For example, something we discovered really early was making sure that we didn't bring design and dev work into the same sprint. We needed to have a completely finished design file before dev starts working on it. And that might sound really obvious, but initially we thought, "Oh, well, if you have a half finished design file, dev can start working on that. And by the time that's done, the rest of the design file will be done."
Caitlin Mackie:
But what we failed to acknowledge is that by doing that, we weren't leaving enough capacity to iterate or address any issues or incorporate feedback on the first part of that design file, or if dev started working on it and design then gets told, "Oh, this part right here, it's not possible," so the designer is back working on the first part. And it just creates a lot of these roadblocks. So in retros, this came up and we were able to raise it and understand that what design needed from dev and what dev needed from design in order to make sure we weren't blockers for each other. And the action item out of the retro is that we all agreed that a design file had to be completely finished before dev picks up the work.
Chloe Hall:
I think it's so great that you were able to identify these blockers early on. Do you think like doing the retro on a weekly reoccurring basis was able to bring up those blockers quickly, or do you think it wouldn't have made a difference?
Caitlin Mackie:
No, definitely. I, a hundred percent, think that retros allowed us to address the blockers in a way more timely and effective manner. And we kind of touched on that before, but yeah, retros let you address the blockers, unpack them, understand why they're happening and what we need to do to make sure they don't happen again. So, for sure.
Chloe Hall:
Yeah. Yeah. I guess I want to talk a little bit now about the wins, the very exciting part of the retro, the part that we all love. So, how important do you think the wins are within the retro?
Caitlin Mackie:
So important. So, so, so important. It's like, when you achieve something epic as a team, you have to call it out. Celebrate all the wins, big, small. Some weeks will be better than others, but embrace that glass half full mentality. And there's always something to be proud of and celebrate, so call it out amongst
each other, share it with the whole company, publicly recognize it. Yeah, I think it's so important to embrace the wins. It just sort of creates a really positive atmosphere when you're in the team, makes everybody feel heard and recognized for their really positive contribution that they're making. And I think a big thing here as well is that if you've achieved something epic as a team, it's helpful for other teams to hear that as well, right? You figured out a cool new way to do something, share it. If it helped you as a team, it's most likely going to help another team.Caitlin Mackie:
So I think celebrating the wins isn't even just reserved for work stuff either, right? If somebody's doing something amazing outside of work or hit a personal goal, get behind it.
Chloe Hall:
Yeah.
Caitlin Mackie:
To celebrate all the wins always.
Chloe Hall:
Yeah. And I think it's so good how you mentioned that it's vital to celebrate the wins of someone's personal life as well, because at the end of the day, we're all human beings. Yes,, we come to work, but we do have that personal element. And knowing what someone's like outside of work as well is an element to creating that psychological safe space and team bonding, which is so vital to having a good team at the end of the day. Yeah.
Caitlin Mackie:
Yeah, a hundred percent. Yeah, you hit the nail in the head with that. We talked about psychological safety before, and I definitely think incorporating that, acknowledging that, yeah, we are ourselves at work, but we also have a whole other life outside of that too, so just being mindful of that and just cheering each other on all the time. That's what we got to do, be each other's biggest cheerleaders.
Chloe Hall:
Yeah, exactly. That's the real key to success. Isn't it?
Caitlin Mackie:
Yeah, that's it. That's the key.
Chloe Hall:
So, you've been working really well as a new cross functional, high performing Agile team. How do you think... What is your future process for retros?
Caitlin Mackie:
We will for sure continue to do them weekly. It's part of the Agile manifesto, but we want to focus on responding to change, and I think retros really allow us to do that. It's beneficial and really valuable for
the team. And when you can set the team up for success, you're going to see that positive impact that has across the organization as a whole. So yeah, we've found a nice cadence and a rhythm that works for us. So, if it ain't broke, don't fix it.Chloe Hall:
Yeah.
Caitlin Mackie:
Is that what they say? Is that the saying?
Chloe Hall:
I don't know. I think so, but let's just go with it. [inaudible 00:19:02], don't fix it.
Caitlin Mackie:
There we go. Yeah.
Chloe Hall:
You can quote Caitlin Mackie on that one.
Caitlin Mackie:
Quote me on that.
Chloe Hall:
Okay, Caitlin. Well, there's just one final thing that I want to address today. I thought end of the podcast, let's just have a little bit of fun, and we're going to do a little snippet of Caitlin's hot tip. So, for the audience listening, I want you to think of something that they can take away from this episode, an action item that they can start doing within their teams today. Take it away.
Caitlin Mackie:
Okay. Okay. All right. I would say always have the retrospective. Don't skip it. Even if there's minimal items to discuss, new things will always come up. And you have to regularly provide ways for the team to share their thoughts. And I'll leave you with, always promote positive dialogue and show value and appreciation for team ideas and each other. That's my-
Chloe Hall:
I love that.
Caitlin Mackie:
That's my hot tip.
Chloe Hall:
Thanks, Caitlin. Thanks for sharing. I really like how you said always promote positive dialogue. I think that is so great. Yeah. Well, thanks, Caitlin. Thanks for jumping on the podcast today and-Caitlin Mackie:
Thanks, Chloe.
Chloe Hall:
Yeah. Sharing your team's experience with retrospectives and new cross functional team. It's been really nice hearing from you, and there's so much that our audience can take away from what you've shared with us today. And I hope that we've truly inspired everybody listening to get out there and implement the team retrospective on a regular basis. So, yeah, thank you.
Caitlin Mackie:
Thank you so much, Chloe. Thanks for having me. It was fun, fun to be on this side. And I hope everyone enjoys this episode.
Chloe Hall:
Thanks, Caitlin.
Caitlin Mackie:
Thanks. Bye.
PodcastEasy Agile Podcast Ep.17 Defining a product manager: The idea of a shared brain
In this episode, I was joined by Sherif Mansour - Distinguished Product Manager at Atlassian.
We spoke about styles of product management and the traits that make a great product manager. Before exploring the idea of a shared brain and the role of a product engineer.
Sherif has been in software development for over 15 years. During his time at Atlassian, he was responsible for Confluence, a popular content collaboration tool for teams.
Most recently, Sherif spends most of his days trying to solve problems across all of Atlassian’s cloud products. Sherif also played a key role in developing new products at Atlassian such as Stride, Team Calendars and Confluence Questions. Sherif thinks building simple products is hard and so is writing a simple, short bio.
Hope you enjoy the episode as much as I did. Thanks for a great conversation Sherif.