Easy Agile Podcast Ep.26 Challenging the status quo: Women in engineering

"We spoke in detail about scaling agile, being a SAFe fellow, discipline, the traits of effective leaders and how to trust your people."

Transcript

Nick Muldoon:

Good day, folks. Thanks for joining us for another Easy Agile Podcast. This morning, I'm joined by Em Campbell-Pretty of Pretty Agile. Em is one of 22 SAFe fellows globally and she's been doing agile transformations at scale for over a decade now. She's also the author of two books, The Art of Avoiding a Train Wreck and Tribal Unity. So, all about culture and psychological safety here, and all about obviously scaling agile release trains, tips and tricks.

Nick Muldoon:

My key takeaways that I was really jazzed about, the traits of effective leaders for scaling agile transformations and being an effective organization, trust, as in trusting their people, an openness to learning and a willingness to learn, the ability to experiment and treat things as failures if they are failures, and discipline. Em and I talked a bit about discipline today as a trait of leaders. It's a really great episode and I took a lot from it, and you'll hear my takeaways at the end and what I need to go and learn after some time with Em this morning. So, let's get started. How many weeks a year are you typically on the road?

Em Campbell-Pretty:

How many weeks a year am I typically on the road? A lot, most. It would be unusual for me to spend four weeks without going somewhere. That would be unusual. I don't travel every week, but I travel most weeks, and I travel in big blocks. Right? So, I'll go and do ... Like I said, just before the lockdown, we did three weeks in Auckland, so that was in February-March.

Em Campbell-Pretty:

We went to Auckland, we had a client in Auckland, we just stayed there. So, three weeks in Auckland, came back here, and did not return to Auckland. Returned to support that client virtually over Teams and Zoom was how that one went. But yeah. Normally between running around Australia, Southeast Asia, Hong Kong, Singapore, Manila, the US, New Zealand, yeah, not home that often, normally. This has been truly bizarre.

Nick Muldoon:

So, this is a very unusual year for someone like yourself that's flying around visiting clients all over the world.

Em Campbell-Pretty:

Absolutely. Absolutely. It's been a very strange year. It's an interesting difference on energy as well. Not flying all the time I think is good for my body. I feel the difference. I also feel the difference sitting in a chair all the time. So, I was traveling a lot, but I was on my feet most days when I was working. Now if I'm working, I'm sitting a lot.

Nick Muldoon:

You're sitting down. Yeah.

Em Campbell-Pretty:

So, that's interesting. But I don't miss the jet lag at all. I don't miss the amount of time the travel consumes at all. In fact, it's been nice. I've had a little bit of head space. I've probably blogged more this year than I have in a few years because I've just had some head space and being able to think. But I don't get to see the world either, and all my holidays got canceled. So, nevermind work. I had trips to Europe. Four weeks from now, I was supposed to be in Canada seeing polar bears.

Nick Muldoon:

Aw.

Em Campbell-Pretty:

Tell me about it!

Nick Muldoon:

I would love to see polar bears. They look so cuddly on TV. I'm not sure that that would actually be the circumstance if I was to try to approach one and give one a cuddle.

Em Campbell-Pretty:

Yeah. I don't think cuddling was involved. I was told I could bring a camera and a tripod, which means obviously I'm going to stand some distance away from this polar bear and take photos. But that will not be happening either. So, no holidays and no travel for work, and of course, being in Melbourne, not even any, let's just go to [crosstalk 00:04:15].

Nick Muldoon:

Coffee or anything like that.

Em Campbell-Pretty:

Just nothing.

Nick Muldoon:

Nothing.

Em Campbell-Pretty:

Nothing.

Nick Muldoon:

Yeah, because you've been on legit lockdown.

Em Campbell-Pretty:

Yep.

Nick Muldoon:

So, tell me then about the shift over the last 10 or 15 years in these scaled, agile transformations. Obviously today, like you described with this client in Auckland, everything's got to be remote. Presumably, not as effective. But I'd love to get a sense of what the evolution is from the transformations 10 years ago, banking, telcos, that sort of environment to the clients that you're working with today. Describe what it was like 10 years ago.

Em Campbell-Pretty:

So, 10 years ago, and it's so interesting to reflect on this now, I read Scaling Software Agility, which is a book that Dean published in 2007. Then I discovered that wasn't the latest book, so then I read Agile Software Requirements. This was 2011. I'm this crazy, angry business sponsor with this program of work I'd been sponsoring for five years that's never delivered anything, and in this cra-

Nick Muldoon:

You were the crazy, angry business sponsor?

Em Campbell-Pretty:

Yeah. Yeah, yeah. I was the crazy [inaudible 00:05:26]. I was very angry. You would be angry too if you were me. I refer to it now as the money fire. So, basically, here's my job. Right? Go to the CFO, ask for money. Give the money to IT. IT lights a match, sets it on fire. Comes back, asks me for money. I get to go back to the CFO and say I need more money. Five years. Five years. That's all I did. Ask for money and try to explain where the other money went.

Em Campbell-Pretty:

Anyway, in the strangest restructure ever, I end up the technology GM for the same group I had been the business sponsor of for the past five years. Apparently, they couldn't find anybody appropriately qualified. So, you can do it, Em. Sure. So, I'm a bit of a geek, so I read books, and I'm reading these books by Leffingwell because I'd been doing some agile ... So, I'd been doing something I'd been calling agile. Let's just go with that.

Em Campbell-Pretty:

It was interesting to me because I could see little rays of light. But it still wasn't really making anything happen, so hence the reading. These books talk about this agile release train [inaudible 00:06:46] that sounds cool. We should so do this thing. So, I set about launching this train at a Telstra in early 2012. It wasn't called SAFe, right? It was just the books and these things called an agile release train.

Em Campbell-Pretty:

Now, to look back 10 years ago, it wasn't called SAFe. People weren't running around doing this. I was not actually really qualified for the job I was in. Well, I wasn't a technology leader by any stretch of the imagination, and I decide that I'm just going to launch an agile release train. So, there were rare and unusual beasts, and I'm not sure I really understood that when I went down the path of doing it.

Em Campbell-Pretty:

I'm big on the, I read it in a book, I read it in a blog, I heard it at a conference, I'll just try it. That's very much always been my mental model. So, I read it in a book and I just tried it. Then we discover that actually, literally nobody is doing this, so it becomes Australia's first agile release train and Australia's first SAFe implementation. Oh, boy, have I learned a lot since then.

Nick Muldoon:

Well, yeah. I was reflecting on that because I dug out The Art of Avoiding a Train Wreck, right? This is one of the ones that you signed for Tegan. But obviously, you've learned a ton since then because you've managed to put together a tome of tips and tricks and things to avoid as you are pursuing these transformations. As an industry, though, well, as an industry, I guess this spans many industries, but as a practice these days, are we actually getting better at these transformations? Are there companies out there today, Em, that are still taking piles of money and setting it on fire?

Em Campbell-Pretty:

So, I think I meet people every day who hear my story and go, "Oh, my god. You used to work here?" So, I think there's still many, many organizations that have an experience that is like the experience I had back in 2010 and what have you. So, it seems to be something that really resonates with people. I guess so many of the businesses we go into now either are not agile at all or, I guess like my world was, doing something they call agile. What we find is the something that they call agile, I wouldn't say it's not agile. But it leaves a lot to be desired.

Nick Muldoon:

They're on a journey, right?

Em Campbell-Pretty:

Yeah. Yeah. Well, I guess so because they end up having a conversation with us. So, they understand that what they're doing is not enough. They understand that what they're doing isn't getting them the results that they want. I don't know that they understand why. It's interesting to me sometimes that they look to SAFe because you asked me about how's the client base changed? One of the things that's really interesting in Australia is we get far more of the small to medium sized companies now than the big ones.

Em Campbell-Pretty:

So, they're companies that consider themselves agile. But what we're calling them, the startups that are no longer startups, right? These are organizations that they're generally old 10, 20 year old startups and they're scaling and they see their problem as a scaling problem. So, that's what leads them to a conversation around the scaled agile framework.

Em Campbell-Pretty:

When we look at them through a SAFe lens, we go, "Gee, you're tiny. But okay. I can see that you can have an agile release train and it won't do you any harm. In fact, it would probably help you a lot in terms of mid-range planning," because mid-range planning just seems to be nonexistent for a lot of these organizations. Prioritization. A lot of these small organizations, very knee-jerky in terms of how they prioritize, bouncing from one thing to the other.

Nick Muldoon:

Are they reacting to the market, or are they reacting to the leaders, maybe the lack of discipline in the leadership?

Em Campbell-Pretty:

You know what? They would say they're reacting to the market. I would say they've got a discipline issue.

Nick Muldoon:

Yeah. [crosstalk 00:11:23].

Em Campbell-Pretty:

So, I read, obviously, big reader, last summer, obviously Australian summer, US winter, I read Melissa Perry's The Build Trap. Interesting book and your well respected thought leader in product management. Not a big fan of SAFe. Probably not a big fan of agile either was the takeaway I had from her book. But the thing that she does talk about that I really thought was valuable was the lunacy in chasing your competitors. So, building features because your competitors-

Nick Muldoon:

Your competitors [crosstalk 00:12:06].

Em Campbell-Pretty:

... build them, or building features to land a contract or retain a customer. So, I thought she sees all of that as lunacy, and I tend to agree. So, that was my ... I think that's quite interesting. Her perspective is you don't know if the competitor's actually having any luck with that thing that they've built. So, if you build it because they built it, you don't know. You have no idea. So, don't just build it because they've built it. It might not be doing them any favors either.

Em Campbell-Pretty:

Of course, once you start just doing random stuff for this big customer or this big client, you start to lose your way as an organization. People end up with completely different versions of their products, branches that they can't integrate anymore. It's interesting. So, when I look at that, I go, "I feel like there's a discipline issue in some of these organizations at the leadership level."

Em Campbell-Pretty:

What is it we're trying to do? What is our vision? What is our mission? What is our market? What are we doing to test and learn in that market, as opposed to just get a gun, let's do everything, grab everything? Oh, my goodness. They were doing that over there. Stop this, start this, stop this. Of course, if you're stopping and starting all the time, you're not delivering anything, and that seems to be something that we see a lot with these organizations. They're not delivering.

Em Campbell-Pretty:

I'm not saying their delivery mechanism is perfect. There's challenges there too. But some part of the problem is the inability to stay a course. Pick a course and stay a course. I'm not saying don't pivot, because that's stupid too. But being more deliberate in your choices to pivot, perhaps. Yeah.

Nick Muldoon:

Do you get a sense, Em, that there are leadership teams in various geographic regions that are more effective at this and more effective at that longterm planning and having that discipline and that methodical approach to delivery over an extended time period?

Em Campbell-Pretty:

I think regions and cultures and nationalities certainly play a role in the leadership, I don't know, persona, personality. I don't know that I could say when I've worked in this country or this part of the world that their leaders are better at forethought. I think some cultures lend themselves to lean and agile more than others. Hierarchical cultures are really, really challenging.

Em Campbell-Pretty:

That can be both a geographic thing, but it can also just be an industry thing, right? So, government can be very hierarchical. The banks can be very hierarchical. Some of the Asian cultures are very hierarchical. But some companies are just very hierarchical as well. So, who owns the company, who leads the company, all of that can play a big role in what's acceptable because so much of success in this scaled agile journey comes down to a leadership that is willing to trust the teams, a leadership that is willing to learn, a leadership that's willing to experiment, and a leadership that's prepared to be disciplined.

Nick Muldoon:

So, leadership with trusting the teams, willing to learn, willing to experiment, and with discipline. They're those four things that you-

Em Campbell-Pretty:

Yep.

Nick Muldoon:

Yeah, okay. I'll make a note of those, Em. I'll come back to those. Trust, learn, experiment, and discipline. I'm interested, I guess, this year being a very interesting, a very unique year for doing remote transformation work and coaching and consulting, 10 years ago, what was the percentage of remote team members distributed teams? Now, you've basically, I think the big banks in Australia aren't even going back to the office until 2021. Atlassian is not going back to the office until 2021. Twitter, Jack Dorsey, my old CEO, said, "Work from home forever," sort of thing. What's the takeaway for this year and what do you expect for 2021 and beyond?

Em Campbell-Pretty:

So, look. This year has been eyeopening, and look, some things are, as I would have anticipated, some things have been different. So, obviously, we're seeing entire organizations going online. We're seeing the teams are online, the PI planning's online, everything's online. That's actually in some ways opened up opportunity. So, where we've had clients who have had the most odd setups in terms of distribution, and you can make a train work where you've got teams across two locations. But we're big fans of the entire team is in Sydney or the entire team is in India. We don't have half the team in Sydney and half the team in India.

Em Campbell-Pretty:

But organizations really struggle with that because perhaps all the testers are in India and then you want a tester on every team and now you've got a problem. How do you create a complete team and not cross the time zones? So, the opportunity becomes if I can find teams that are not physically co-located but time zone friendly, I have a little bit more option. So, I can have a train that operates between, I don't know, Sydney and India. Or I can find a four hour overlap in their day, and I can insist that that team works 100% online.

Em Campbell-Pretty:

So, the big thing that we'd advise against is I don't want that team hybrid. Right? I don't want three people sitting in the office in Sydney and three people sitting in their homes in India. I want everybody online. I want an even playing field, and I think we can do that now in a way that is more acceptable than before. Because the same advice I was giving, gee, back when I wrote Tribal Unity, same advice. Right?

Em Campbell-Pretty:

So, 2016, everybody, equal playing field. If you're going to be distributed, everyone has to be online, as opposed to some people online and some people in a room. So, that's a more acceptable answer now than it was prior to this year. So, that's good. I think that's good.

Nick Muldoon:

In 2021, then, Em, you mean this is just going to play forward. I guess there's going to be a reversion of some of these companies back to the office because they've got huge real estate and workplace infrastructure already.

Em Campbell-Pretty:

Yeah. So, look. We're seeing clients closing offices the same way that you see some of the companies in the US doing that. We're also seeing parts of Australia and New Zealand with no particular COVID impact at this point actually going back into the office, and having created that example of teams that are crossing time zones, and then going back into the office and going back to that hybrid space. So, that's interesting and [crosstalk 00:20:08].

Nick Muldoon:

So, where you're back into that environment where you might have some people working together in an office that can get a cup of coffee together and then some that are stuck still at home. I guess there's not just even regional differences, right? If you've got a team member that's got a particular health situation, they're not going to feel comfortable necessarily coming back into the office, regardless of the situation, until there's a vaccine or something.

Em Campbell-Pretty:

Absolutely.

Nick Muldoon:

Yeah, okay.

Em Campbell-Pretty:

So, yeah. Look, I think it's going to be interesting. I would strongly advocate that organizations have teams that are either in person teams or online teams, and the team just either operates 100% online or the team operates 100%-

Nick Muldoon:

In the office.

Em Campbell-Pretty:

... in person and in the office, and if you have a train that has both in any train level ceremony, everybody goes to a desk and-

Nick Muldoon:

And do it online.

Em Campbell-Pretty:

... a video camera and we do it that way. I think the thing that seems to be most sticky about the physical environment and SAFe is PI planning. Nobody needs to beat. Right? That was cool. Nobody needs to beat, no one's PI planning slipped, everybody just went. They were all online. So, we'll just PI plan online. It'll be fine. We saw people use whatever infrastructure they had available to them.

Nick Muldoon:

Yeah. [crosstalk 00:21:30].

Em Campbell-Pretty:

So, I'm sure a number of people called you folks and said, "We need a tool." But some just went, "We have Google Suite, we have Microsoft whatever it is, we have this, we have that. We're just going to make it work," and no matter what they used, they made it work and they ran the events and their events were effective and they got the outcomes. The big thing that is missing is that energy. You can't get the energy of 100, 200 people in a room from an online event. But mechanically-

Nick Muldoon:

We can achieve it.

Em Campbell-Pretty:

... we can achieve it. So, we hear everybody wants to go back to PI planning in person because of the social, because of the energy, which I think is awesome. I absolutely think that is awesome, and I can see this world in which people do a lot more work from home, work remote, whatever that looks like, and then the PI planning events are the things that we do to bring ourselves together and reconnect on that eight, 10, 12 week basis. That's my feeling. Could be wrong.

Nick Muldoon:

I guess I'll be really interested to see how it plays out, and I think we should return to this conversation in 12 months, Em.

Em Campbell-Pretty:

Yeah. Oh, no.

Nick Muldoon:

I'm just thinking, what's going through my mind is one of our customers in New York, financial services company, and for one of their arts, it was 150,000 US exercised to bring their people together once a quarter.

Em Campbell-Pretty:

Yeah. Wow.

Nick Muldoon:

I'm now going, I'm like, "Okay, yes, they're doing it digitally now." That's fine. They're going to miss out on things. But if they lose the budget, do they have to fight to get the budget back? Or does the budget sit there? There's these other unknown ramifications of this shift over the course of 2020 that we're yet to see play out, I guess.

Em Campbell-Pretty:

I think you're right, and I think it would be particularly interesting for the trains that have been launched remotely. So, if the train has been launched remotely, do you ev-

Nick Muldoon:

So, not existing trains that have been working together for six to 12, 18 months. But you want to get a brand new train started. Have you done that remotely this year with some of your clients?

Em Campbell-Pretty:

Oh, we're in the process of doing it now.

Nick Muldoon:

Cool. Tell me.

Em Campbell-Pretty:

We had one, though, literally just before the lockdown. So, they did their first PI planning face to face and then immediately moved to remote working and, yeah, now working on remotely launching a train. For us, we have a playbook. It's a bunch of workshops. It's a bunch of classes. We just use online collaboration tools. We've found things that replicate the sort of tools that we would have in a physical room, and the joy of being able to read people's Post-it notes, right? This has been the absolute highlight for me, the joy of being able to read people's Post-it notes.

Nick Muldoon:

No more hieroglyphics.

Em Campbell-Pretty:

Yeah. Absolutely.

Nick Muldoon:

What is that that you wrote, Sally? Yeah.

Em Campbell-Pretty:

Everyone can say everything at once, right? So, you think about the classroom and the workshop where there's a group of people huddled around Post-its and a flip chart paper and they're still huddled in a way in their virtual huddle, but everybody can read, right? It's not that I'm not close enough, I can't read, I can't read your handwriting. There's this great equalizer is the online world. So, I think that's great. I think the challenge for the trains launched remotely is going to be do you ever get the face to face experience?

Em Campbell-Pretty:

Because if I go back over the years, one of the things we know is your first PI planning event sets the standard. So, people get this imprint in their heads of what is possible. For example, if you skip something in your first PI planning event, you just decide to, I don't know, skip the confidence vote or something weird like that, you don't do the roam of the risks or you just skip something, you never do it because you're successful without it.

Nick Muldoon:

It never gets picked up. Yeah, okay.

Em Campbell-Pretty:

You're successful without it. So, every compromise you make, and you make a series of compromises, and then you're successful despite those compromises, and that becomes a false positive feasibility. It tells you, yes, I was right. I was right.

Nick Muldoon:

I don't need to do that.

Em Campbell-Pretty:

I didn't need to do those things because I was awesomely successful and I didn't do these things. So, it's the learning [crosstalk 00:26:15]-

Nick Muldoon:

That's confirmation bias, is it?

Em Campbell-Pretty:

Yeah, that's it. That's the one. Confirmation bias. That's exactly it. Yep. Yeah, and I think there's going to be a bunch of confirmation bias in these remotely launched trains, and unless they're inside organizations where there's enough knowledge of SAFe and the physical PI planning to know that there's going to be value in bringing them together, but I can see that being a real challenge. I think trains that are launched online may never go into a physical PI planning event because of that confirmation bias.

Nick Muldoon:

All right.

Em Campbell-Pretty:

That makes me really sad.

Nick Muldoon:

I want to come back to something you said before about the leaders, and you mentioned the trust, the openness to learning and experimentation, and the discipline. I was going back over your SAFe Global 2018 talk about the seven traits of highly effective servant leaders.

Em Campbell-Pretty:

Yep.

Nick Muldoon:

Yeah?

Em Campbell-Pretty:

Yep.

Nick Muldoon:

I guess I had some questions about this, and obviously, these are four of the traits. What are the other three traits that I'm missing? Then I've got a followup question about some of the actual things that you talked about that you picked up in your trip.

Em Campbell-Pretty:

[inaudible 00:27:29] one of those four on the list I had in 2018.

Nick Muldoon:

I'll quiz you on it.

Em Campbell-Pretty:

How awkward. So, in 2018, the answer was people first, a respect for people, that sort of lens, lean thinking, manager, teacher, learner. So, we had that one. Yeah. Learner. [inaudible 00:28:00] crazy. What else did I have? [inaudible 00:28:10].

Nick Muldoon:

Yeah. Okay. I wanted to talk about that one, actually. I made a note about that. What is that, and are there examples of that in the West?

Em Campbell-Pretty:

A lot of people talk about true north.

Nick Muldoon:

[inaudible 00:28:28]. True north.

Em Campbell-Pretty:

Yeah. True north. The translation I got, which I got from Mr. [inaudible 00:28:39], who partnered with Katie Anderson for the lean study tour I did in, I don't know, '18, '17, '18, 2018, I think, so the translation he gave was direction and management sort of things. So, it's mission, right? It's strategic mission. It's that sort of thing.

Nick Muldoon:

So, just a sidebar here for anyone that hasn't seen Em's talk on this, there's a woman by the name of Katie Anderson. She runs an annual, I think, I guess not this year, but she runs an annual-

Em Campbell-Pretty:

No, not this year. She did not go this year.

Nick Muldoon:

... not this year, runs an annual lean, Kanban, kaizen study tour to Japan and visits ... Who did you visit, Em? You visited with Katie. How many were in the crew that you went over there with?

Em Campbell-Pretty:

So, I think it was a group of about 20 from memory. Katie lived in Japan for two years and then went back to the US. She lives in San Francisco, I think. While she was there, she really liked the idea of putting together these lean study tours. She was already a lean practitioner more in the healthcare side of things. So, she got the opportunity to ... We actually were on a test run tour.

Nick Muldoon:

Oh, cool.

Em Campbell-Pretty:

So, this was her experiment. She had a relationship with Ohio State University and they brought some people to the table and she brought some people to the table and they made it happen. She also had an existing relationship with Mr. [inaudible 00:30:24], who was John [inaudible 00:30:26] first manager at Toyota. So, he's a 40 year Toyota veteran.

Nick Muldoon:

Veteran.

Em Campbell-Pretty:

He came with us for the week. So, we of course went to Toyota, but we went to a bunch of Toyota suppliers as well. Isuzu, [inaudible 00:30:43]. Then we also went to Japan Post, which was fascinating. We went to a city which name escapes me right now, but they called it 5S City because all the companies in that city practice the 5S, the manufacturing 5S.

Nick Muldoon:

Tell me about it. It's not coming to mind. I don't feel comfortable or familiar.

Em Campbell-Pretty:

You don't feel good about 5S?

Nick Muldoon:

No.

Em Campbell-Pretty:

No. That's not good. So, how would I ... The 5S is five Japanese words, which I'm going to go ... Yeah. My Japanese, nothing. But it's about standardized work. So, for example, when you go into the 5S factories, you'll see the floors marked up where you need to stand to do a particular job.

Nick Muldoon:

[crosstalk 00:31:41] This is what Paul Aikas picked up for his-

Em Campbell-Pretty:

Oh, no.

Nick Muldoon:

I feel like I've seen Paul Aikas' videos of their manufacturing in the US that everything's marked up.

Em Campbell-Pretty:

Yeah.

Nick Muldoon:

Okay.

Em Campbell-Pretty:

Probably. That would be my guess. We should ask Teddy.

Nick Muldoon:

We can ask Paul, and we can ask all these people. There's time.

Em Campbell-Pretty:

Well, yeah.

Nick Muldoon:

Okay.

Em Campbell-Pretty:

Okay.

Nick Muldoon:

So, that lean tour, the Japan study tour, that was a super effective and motivating thing for you?

Em Campbell-Pretty:

Yeah. For me, it was very reinforcing. So, I had I guess my own lens on what lean leadership meant, and I found that particular tour to be very reinforcing around the value set that I believe is part of that. Katie [inaudible 00:32:43] created [inaudible 00:32:44] that is designed to show you that. So, she's often very clear that says this is not Japan, right? This is not a reorganization into Japan. This is not every leader in Japan.

Em Campbell-Pretty:

This is, I've hand picked a series of lean leaders to show you it being practiced. But it was certainly very reinforcing for me. So, very similar messages I picked up in terms of how I like to head, how I coach others to lead was built into the messages that she delivered. So, it was very cool. It was very cool. Some of those leaders, just so inspiring, particular kaizen. I think the thing that just really hits you in the face as you're talking to these folks is kaizen, this drive to get better.

Nick Muldoon:

All the time.

Em Campbell-Pretty:

All the time. Absolutely. It's these folks looking for, they're looking for the one second, right?

Nick Muldoon:

Yeah.

Em Campbell-Pretty:

The one second improvements. There's a video that floats around. Have you seen the Formula 1 video-

Nick Muldoon:

Yeah.

Em Campbell-Pretty:

... where they do, yeah, the changeover in 63 and it takes them over a minute and they do the changeover in 90-something in Melbourne and it takes them six seconds or whatever it is. It's like that, right? It's that how do I find one more second, half a second? They're just so driven. If I can remove a step that someone has to take, can I move something closer to somebody?

Nick Muldoon:

Yeah. There was some comment in the presentation that you gave. There was some comment about if I have to take another five steps, that's an extra 10 seconds. Then that's an extra 10 seconds every time I do this activity every day, and that all adds up. So, how do we shave these seconds off and be more effective and deliberate about how we do this?

Em Campbell-Pretty:

That was just huge, right? I called it kaizen crazy in the presentation. I'm just so, so driven to improve, and just tiny, small improvements every day.

Nick Muldoon:

So, one of the other practices that I didn't grok out of that talk was about the Bus Stop. What was the Bus Stop about?

Em Campbell-Pretty:

Was that in that talk? Really?

Nick Muldoon:

I'm forcing you to stretch your mind [crosstalk 00:34:57].

Em Campbell-Pretty:

You are. You are. You are. You are quite right. It really was [inaudible 00:35:01]. Okay. Oh, you're awful.

Nick Muldoon:

Yes.

Em Campbell-Pretty:

Yes. Yes, you are. Okay. So, effective leaders are human was the tagline on that one. It was really about leaders being down to Earth and being one with the teams. So, things I saw in Japan, this factory run by a woman, [inaudible 00:35:42], I think it was, so very unusual. Not a lot of women leaders in Japan. Her husband took her name because [inaudible 00:35:52]. It's a really interesting character.

Em Campbell-Pretty:

But her company has a bunch of morning rituals. You always say good morning and thank you and how they talk every day and everybody talks and everyone interacts. Then one of the other places we went to, they all had their uniforms they wore in the factory. But everybody wore the uniform, right? The CEO, the office workers, and everybody wore the uniform. Everyone was one.

Em Campbell-Pretty:

Then I was thinking about my experience leading teams, and a lifetime ago, I was working with a team that decided to enter a corporate competition. This competition was about showing your colors and showing the corporate values, which were things like better together and courage, and then [inaudible 00:36:49] a rainbow thing. So, this team decides what they're going to do, is it an address up in the rainbow colors, and they're going to be better together and show their courage and they're going to do the Macarena and they're going to video it and that's going to be how they're going to win this competition.

Em Campbell-Pretty:

I did not participate in this Macarena because someone has to take photos and stuff, right? How else are they going to enter the competition? So, had to do my bit. Anyway, we also had this ritual, which was about teams bringing challenges to leadership to resolve, and they did at the end of every spring. So, they do this Macarena and they film it and they enter the competition and at the end of the spring, they bring their challenges to leadership.

Em Campbell-Pretty:

Their challenge is Em did not do the Macarena. You are our leader, you did not do the Macarena. We are feeling very challenged by that, and we're bringing this to you to resolve. So, I went and spoke to the team that raised and said, "Look. I got to tell you. I don't know the Macarena. So, sorry." I still remember this so clearly. One of the guys said to me, "I read this blog about the importance of leaders being vulnerable." You know who wrote that blog post, don't you?

Nick Muldoon:

Oh, Em. Oh. You have it.

Em Campbell-Pretty:

So, we negotiated. I said, "Look. I think I can manage the Bus Stop." For those not from Australia, we grow up doing this in high school dances. In my part of the world, anyway. So, I grabbed my leadership team and we did do the Bus Stop and it was part of proving that we too were the same as everybody else and doing our bit and responding to the team's feedback. So, yes. That is where the Bus Stop fits in. Thanks so much for that, Nick.

Nick Muldoon:

Okay. No, I appreciate that. Now, I'm glad that I got that context. I try and do similar things. Typically, it's a karaoke or something, or that we haven't done that in a while. Yeah, okay. So, I guess the thrust of that talk was really about to leaders to serve, and it was all about being in service of. It sounds like what you took from the Japan study tour was these leaders there were very much in service of their people.

Em Campbell-Pretty:

Absolutely.

Nick Muldoon:

Do you see that as a trait that is prevalent in the best performing companies that you deal with, and how likely are they over a five, 10 year horizon, whatever that happens to be, to outperform their competitors or to be more successful in their market? Or I guess however they define success?

Em Campbell-Pretty:

I certainly see a correlation between leaders that like to serve and/or choose to serve and success with scaled agile, and business, because I guess we have seen over, it's close to 10 years, is those who practice together, your framework with discipline get results, and they get significant results. They improve their ability to deliver products and services, their cost base goes down, their quality goes up, their people are happier, their attrition goes down. We see it every single time.

Em Campbell-Pretty:

What we also see is when the leaders don't walk the talk, when the leaders are paying lip service to the transformation, it doesn't stick. They don't get the results. People don't find it a better place to work. People aren't bought into the change. So, there is definitely a correlation there. You can get pockets of wonderfulness inside an organization.

Em Campbell-Pretty:

We often observe that the organization that's transformation is as successful is the most bought in leader. Most senior bought in leader. So, if you're the leader of a train and you show the right behaviors, your train will be really great.

Nick Muldoon:

Successful.

Em Campbell-Pretty:

But that means nothing for the broader organization, solution train, the business unit, what have you. You see this thing that goes from the leader. If the leader's showing the right behaviors, you get within that space, you get the behaviors, you get the change, you get the results. But leaders who say one thing and do another, people don't buy it, right?

Nick Muldoon:

I guess this is true of any organizational change, isn't it?

Em Campbell-Pretty:

Yeah.

Nick Muldoon:

You hit the boundaries of your pocket, as you said, within the organization and then you meet the real world, the rest of the organization. People, maybe they don't have enough energy or they don't feel that they can influence and change that, and so they just live within their bubble because they don't feel that they can exert the pressure outside of that.

Em Campbell-Pretty:

Yeah. Look. I've certainly, I've seen successful bubble influence organizations. Successful bubbles can become interesting. Chip and Dan Heath's book, which one was it, Switch.

Nick Muldoon:

Oh, yeah. Switch. Yeah.

Em Campbell-Pretty:

[inaudible 00:42:02]. Shine a light on bright spot or something like that. So, bright spots inspire, and if you can create a bubble in an organization that outperforms the rest of the organization, or even if it performs better than it has previously, then everybody looks. Right? How did the organization that goes from poor delivery to great deliveries is what is going on here? That inspires others to get interested. One of the really interesting things we've seen in Australia, we can trace pretty much every SAFe implementation in Australia back to the one at Telstra.

Nick Muldoon:

Yeah, right. They all spun off from that, from the people that were part of it.

Em Campbell-Pretty:

Well, no. People who came and saw it. People who were inspired by it.

Nick Muldoon:

They're not necessarily directly involved in it.

Em Campbell-Pretty:

No. People came and got inspired by it, and then they went, did their thing, and then they inspired someone else. I haven't tried to do it recently, but there was a point in time we just could web together all of them because we could count them when we could see them. But we can web together most of them still. It says you saw someone who saw someone who saw someone who actually was someone who went to visit us at Telstra back in 2012, 2013 and got inspired.

Em Campbell-Pretty:

So, that bright spot can be really, really powerful, and that's what it takes, right? You get to add a little bit of noise, a little bit of difference, and people start to ask what's going on. I wouldn't say it's foolproof. I think it still requires, so someone's got to come, they've got to see, and then they've got to have the courage to do it for their part of the organization.

Em Campbell-Pretty:

That's the hard bit, right? I can come, I can see, I can get inspired. But am I prepared to put myself out there? There's a lot to be said for leaders who are prepared to take risks. That was one of the-

Nick Muldoon:

This was your lesson about the Bus Stop, right? You have to put yourself out there and be vulnerable.

Em Campbell-Pretty:

Yeah. Absolutely. Absolutely. This was actually, I was thinking, was the thing I was talking about at last year's SAFe Summit was be safe or be SAFe.

Nick Muldoon:

Be safe or be SAFe. Tell me about that.

Em Campbell-Pretty:

So, be safe, don't take a risk, or be SAFe, as in the scaled agile framework, and take that leap of faith. It comes back to, we started talking today about when I did this at Telstra, I didn't really understand that this wasn't a normal everyday, this is what everybody did sort of thing. It was a very new thing. So, I took a risk from a perspective that I was a business leader in a technology space and I really felt I had nothing to lose.

Em Campbell-Pretty:

So, I look back and that and go, "What on Earth possessed me?" And I go, "Well, I'm this business person leading this technology team. I wasn't supposed to succeed anyway."

Nick Muldoon:

Put it all on the line, right?

Em Campbell-Pretty:

I found out later they actually had a plan for when I did not succeed. I was supposed to fail.

Nick Muldoon:

Wait. How much waste is that? Why did they plan for something before it was ... Okay.

Em Campbell-Pretty:

Organizational policies. What can I tell you? Anyway, I did not fail. I did succeed, and because I took some crazy, calculated risks, and I've seen it time and time again, right? So many of these leaders in these companies that make this change are taking a leap of faith. I'm always saying I can't tell you exactly what's going to happen. I don't know whether you're going to get 10% cost out or 50% cost out. I don't know if your people are going to be 10% happier or 50% happier. I don't know that.

Em Campbell-Pretty:

What I do know is if you listen to what we're telling you and you follow the guidance and you behave in line with those lean and agile values, you will get results. You'll get results every single time. But you've got to be brave enough to buy in and take it on holistically and not do this thing where you manage to customize your way out of actually doing the thing-

Nick Muldoon:

Doing anything.

Em Campbell-Pretty:

... that you wanted to do.

Nick Muldoon:

Yeah. Okay. Em, this was awesome. Before we finish up, I want to take two minutes. You've mentioned books a lot today and you reminded me of this quote, Verne Harnish, "Those who read and don't are only marginally better off than those who can't." So, today so far, you've mentioned Chip and Dan Heath with Switch, you've mentioned the Leffingwell series from the late noughties. There might have been a few others. But tell me, what are you reading today? You've been in lockdown. What are the two or three top books that you've read since you've been in lockdown in Melbourne?

Em Campbell-Pretty:

Oh, my goodness. It's very awkward. Every time someone asks me, "What did you just read?" I go, "I don't know."

Nick Muldoon:

I don't think I remember.

Em Campbell-Pretty:

Can't remember. It's terrible. What am I reading? I need to open my Kindle. I don't know what I'm reading. Geoffrey Moore, Zone to Win.

Nick Muldoon:

Zone to Win.

Em Campbell-Pretty:

Zone to Win. I think that's what it's called. It's a newer book. I know this year, because obviously, I've read The Build Trap this year-

Nick Muldoon:

Yep. Melissa Perry. You mentioned that one. Yeah.

Em Campbell-Pretty:

Yep. I've read the Project to Product, Mik Kersten.

Nick Muldoon:

What was that one, Project to Product?

Em Campbell-Pretty:

Yeah. Project to Product, Mik Kersten. One of the IT Revolution press books. So, released just over a year ago. Very tied up in the SAFe 5.0 [crosstalk 00:48:21]. The other book tied up in the SAFe 5.0 release is John Kotter's Accelerate. So, I picked that back up. I read it a number of years ago when it first came out. But I like to revisit stuff when SAFe puts it front and center. Seems to make some sense to do that at that point in time.

Nick Muldoon:

Yeah, okay. It's interesting that, thinking about Verne Harnish, the scaling up framework, no relation to-

Em Campbell-Pretty:

No.

Nick Muldoon:

... scaled agile, for anyone that's not familiar. But so much of the scaling up framework about scaling businesses, they draw on so much content from existing offers, existing tomes, points of reference and experience, and it's super valuable, and I guess SAFe is no different, right? It draws on this wisdom of the collective wisdom.

Em Campbell-Pretty:

Absolutely. Absolutely. [inaudible 00:49:14] It was very fun to say in the early days, we stand on the shoulders of giants, a quote from somebody else whose name escapes me.

Nick Muldoon:

Yeah, okay. Well, Em, look. I wanted to thank you so much for your time this morning. This has been fantastic.

Em Campbell-Pretty:

No worries. It's great to catch up with you.

Nick Muldoon:

Yeah. I guess my takeaways from this, I like the be safe or be SAFe, like either be safe and don't take any risks, or be SAFe and actually put yourself out there and step into scaled agile. I definitely have to go and do a bit of research on the five S's as well and learn a bit more about that. But thank you so much for your time. I really appreciate it.

Em Campbell-Pretty:

No worries, Nick. Great to see you.

"It was a pleasure speaking with Ray about empowering teams and helping people reach their full potential" - Mat Lawrence

Mat Lawrence, Chief Operating Officer at Easy Agile is joined by Ray Arell. Ray currently works as the Director of Agile Transformations at Dell Technologies, is the host of the ACN Podcast, and the President Of The Board Of Directors for the nonprofit Forest Grove Foundation Inc.

Ray is passionate about collaborative and inclusive leadership, and loves to inspire and motivate others to achieve their full potential. This is exactly what Mat and Ray dive into in this episode.

Ray and Mat explore the concepts such as inclusive and situational leadership and the connection to agile ways of working, empowering the organisational brain, and fostering authenticity within teams.

This is a fantastic episode for aspiring, emerging and existing leaders! Lots of great tips and advice to share with colleagues and friends and understand the ways we can be empowering and enabling one another.

We hope you enjoy the episode!

Transcript:

Mat Lawrence:

Hi folks, it's Mat Lawrence here. I'm the COO at Easy Agile and I'm really excited today to be joined by Ray Arell. Before we jump into our podcast episode, Easy Agile would like to acknowledge the traditional custodians of the land from which we're broadcasting today, the people of the Gadigal-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 people joining us today. Ray, thanks for joining us today. Ray is a collaborative and inclusive leader who loves to inspire and motivate others to achieve their full potential. Ray has 30 years of experience building and leading outstanding multinational teams in Fortune 100 companies, nonprofits, and startups. Also, he's recognized as a leading expert in large-scale agile adoptions, engineering practices, lean and complex adaptive systems. So Ray, welcome, really good to have you on the podcast today.

Ray Arell:

Thank you.

Mat Lawrence:

Love to get started by understanding what you enjoy most about being an inclusive leader and working with teams.

Ray Arell:

Yeah, so I've been in leadership probably for about 15 years, leading teams at different sizes. When you have the more intimate, smaller teams of maybe five or six people, upwards of teams that are upwards of several hundred people working within an organization that I might be the leader of. And what I enjoy the most about it is just connecting with the talented people that do the work. I mean, when you go into leadership, one of the things that you kind of transition from is not being the expert person in the room that's coding or doing hardware development or something else. You have these people who are now looking for direction or vision or other things in order for them to give them purpose in order to move forward with their day.

And I enjoy coaching. I enjoy mentoring. I mean, a lot of my technical side of me is more nostalgia now more than it is relevant with the latest technologies. There's something rewarding when you see somebody who can, if you think of Daniel Pink's work of autonomy, mastery and purpose, that they suddenly find that they are engaged with the purpose that we're doing as an organization and then the autonomy for them to just do their day and be able to work and collaborate with others. And that's always been exciting to me.

Mat Lawrence:

I can relate to that. Yeah. I think in our audience today we're going to have a mixture of emerging leaders, aspiring leaders, and experienced leaders. I'd love to tap into your experience and ideally rewind a little bit to earlier in your career when you were transitioning into being a leader. And I'd love to understand around that time, what were some of the successes that you saw in the approach that you take that you've been trying to repeat over the years?

Ray Arell:

Well, I think early on, I think, especially when you grow up through the technical ranks, and suddenly at least the company that I was with at the time, very expert-based culture, if you were the smartest person in the room, those are the people that they looked at and said, "Okay, we're going to promote you to lead, or we're going to promote you to manager or promote you into the leadership ranks." I think looking back on that, I think Ray 2.0 or Ray 3.0, whatever version I was at the time, that I very much led from that expert leadership stance, which is sort of I know what is the best way to go and approach the delivery of something, and everyone should be following my technical lead for however this product comes together.

And I don't think that was really a good approach. I think that constrained people because you ended up being more or less just telling people what to go do versus allowing them to experiment and learn and grow themselves in order to become what I had become as a senior technical person. And so I think lesson learned number one was that leading a team from an expert slant I think is probably not the best approach in order if you're going... especially if you think of agile and other more inclusive teamwork type of projects, you're going to want to give people more of a catalytic or a catalyst leader type of synergistic-based leadership style so that they can self-organize and they can move forward and learn and grow as an engineer.

Mat Lawrence:

Are there any times that stand out for you where you got it horribly wrong? I know I've got a few stories which I can happily share as well.

Ray Arell:

I'd love to hear some of yours. I think horribly wrong I think is... The question is is anything ever really not fixable, not recoverable? And in most cases, most of the issues that we've dealt with were recoverable. I think that looking at, and again, kind of back into that stance of well, am I creating a team or am I creating just a group of individuals that are just taking their work from the manager and I'm passing them out like cards type of thing... I think early on, probably the big mistake was just being too controlling, and the mistake of that control meant that I couldn't have a vacation. Others were dependent versus being interdependent on one another. And I think that made the organization run slower and not as efficient as it could be.

Mat Lawrence:

I've certainly been guilty of that same approach earlier in my leadership career where I became the bottleneck, absolutely.

Ray Arell:

Yeah. Exactly.

Mat Lawrence:

And to recognize that, it can be quite hard to undo, but it's definitely worth persevering with. Something else that I was fortunate to get some training in situational leadership, oh, probably nearly 10 years ago now. And that really opened my eyes to an approach, the way I was treating different people in my team. But I was treating them the way I first judged them. So if I saw [inaudible 00:07:01] an expert and a master, I would treat them as an expert and a master in all things. And [inaudible 00:07:05] if someone was less capable at that point in their career, I'd kind of assume the same thing. And so I would apply the same level of direction or lack of direction to those people for everything. And in situational leadership, the premise for those who don't know at home, is you change the level of direction that you give depending on the task at hand. Have you used that approach or something similar to guide how you include people in different ways?

Ray Arell:

Well, in order to include people, I think part of it is you need to... As you said, you were situationally looking at each person, and you were structuring it in a way that was from a way, an approach, of very individualized with somebody. I think the philosophy that I... Not everyone is very open or can communicate very well about their skills and their strengths, or in certain cases some people, they might be good at something but they don't exercise it because they themselves feel that that's not one of their strengths, but in reality is it is. So I think that when you're saying from a situational leadership perspective, when you hear somebody place doubt that they could be the one that could do something or to take up, say, even leadership of something, I think part of that just gets into that whole coaching and mentoring and really setting it up and helping them to be successful through that.

And I think from an inclusive perspective, I think there's a set of honesty that you have to bring into your work and humility about being humble about even what you've accomplished. Because in engineering in particular, you tend to see that when you put people into a room, the people who are newer will sit back, and they will yield to who they think has the more experience. And reality is that they came from, say, let's say they just got fresh out of college. They actually might have more skills in a particular area based upon what they just went through in their curriculum that we might not have. And so the question of how do we use the whole organizational brain in order to bring all of the ideas onto the table, I think at times it requires us to be able to be effective listeners and to sometimes just pause and allow people to have the floor and pick up the pen and not hog the space, if that makes sense.

Mat Lawrence:

It really does, and I think I've seen that in every company I've worked in to some level. I'd be really interested to tap into how you go about addressing that scenario. For the people who are listening that would face that situation, it might be the first time they've been a leader and seeing that scenario and observing it. Is there any advice you would give them to help change that dynamic?

Ray Arell:

Well, one, just becoming aware of it. I frequently doodle when I'm in a group of people, and what I'll do is I'll sit there and I'll put dots on a paper of where people are at in the room, and then I start drawing lines between those individual dots if I see the communication happening between certain players. And what's interesting is if you watch that over about a 15-minute period of time, you start to see this emergent pattern that maybe someone's domineering the conversation or they're the focus point of the conversation, and it isn't going around the full room. So then that's when you get to be a gatekeeper and you invite others into the conversation. And then you politely help the ones who are being dominant in the conversation to pause, to just give space and allow those other people to talk and to get that out.

And then I think the question of whether or not what the person says may sometimes be coherent or not coherent to the conversation, or maybe they're still trying to learn about just dynamics of everything. You just have to help to get, sometimes, to get that out of people, and use open words to basically open sentence... I mean, some open questions to pull that out from them. And I think that works really well.

Mat Lawrence:

I love that. I'm a doodler as well. I'm an artist originally in my early career, and I've worked my way into solving problems through tech a long time ago now, but I still can't... I need that physical drawing to help my mind think as much as anything else [inaudible 00:12:30] than just doodling on a pad.

Ray Arell:

Same here.

Mat Lawrence:

Something that you said a little earlier, we touched a little bit on inclusivity. In your LinkedIn bio you talk about being an inclusive leader who loves to inspire and motivate others to achieve their full potential. Something I'm really passionate about is that last part in particular, is helping people achieve their full potential. It's why I love being a people leader and a COO. You get to do that across a whole company. I'd love to first touch on the idea of being an inclusive leader. How do you define what it means to be one?

Ray Arell:

Well, inclusive leadership, there was an old bag that I used to have, a little coaching bag that I used to carry around with me. And at the very top of it said, "Take it to the team," was the motto that was at the top of it. And at the bottom of the bag it basically said, "Treat people like adults." Were the two kind of core things that I think part of what being inclusive is is that I have to accept the fact that, yeah, I'm a smart person, but do we get a better decision if we socialize that around the team? Do we see what other ideas or possibility thinking? Sort of in the lean sense, make the decision as late as you can.

It's more towards the Eastern culture of, well, if I keep the decision open, maybe we're going to find something that's cheaper or better or even just more exciting for our customers. And so I think part of that is knowing that you don't have to be the one that has to make the decision. You can let the team make the decision. And we all embrace because we're empowering ourselves with this was what we all thought, not just what Ray thought, which I think is cool.

Mat Lawrence:

There's a second part to that piece you talked about in your bio around helping motivate others to achieve their full potential.

Ray Arell:

Yeah, yeah.

Mat Lawrence:

Yeah. Let's talk about where that came from for you, that passion, and what are some of the ways you look to help emerging leaders reach their full potential?

Ray Arell:

Yeah, I mean, I was lucky enough when I joined Intel Corporation that Andy Grove was still running the organization at the time. As a matter of fact, he taught my Welcome to Intel class. At the time when I joined Intel, there was only about 32,000 employees. And here's the CEO, founder of the company teaching the Welcome to Intel class, which I thought was incredibly cool, a great experience to have. He oozed this leadership, whatever mojo or whatever it is he is got going out into the environment as he's talking about the company. But he was really strong on the one-on-ones, the time that you can spend with your manager or others within the organization because you can have a one-on-one with anyone within the company. And he encouraged that. And I think that helps to... When somebody is trying to figure it out, they're brand new to the company, and you get a standing invitation from the CEO that says, "You can come and have a conversation with me," I think that sets the cultural norm right up front that this is a place that's going to assist and help me along my career.

And I could tell you that there's been a number of different times that those developed into full-blown, "I'm the mentee and they're the mentors." And in those relationships over time, it's sort of like then you say, "Well, I'm going to pay that forward." Today I have at least six or seven mentees that have all sorts of questions about how do they guide through their career or if they had some specific area that they wanted to go focus on. And it's their time to pick my brain. And in certain cases, if I don't have the full answer, I can guide them to other mentors that can help them to grow.

Mat Lawrence:

I love that approach of pay it forward that you touched on there. It's definitely something that I've been trying to do in the last couple of years myself, and I wish I'd started sooner mentoring. I've had the privilege of working with some amazing leaders in my career who I've learned a lot from. And once I started mentoring, I realized how much I learned by being a mentor because you have to think. You really think about what these people are going through and not just project yourself onto them. And it validates the rationale about why you do things yourself, why you think that way. And it forces me to challenge myself.

And I think if there's anything... I talk to some of the younger people at work who are emerging leaders, and they're exceptional in their own way. They've all got very different backgrounds, but a lot of them don't feel like they're ready to be a mentor. They really are. They're amazing people. And I wonder, have you seen people earlier in their careers try and pass it forwards kind of early on or do people feel they have to wait until [inaudible 00:18:22]?

Ray Arell:

I think it depends. One, I think the education system, at least in the United States, has shifted a bit. When people go for their undergraduate degree, it used to be just they were by themselves, they did their book studies. Very little interaction or teamwork was created for this study. I mean, back when I got my electrical engineering degree, it was just me by myself. There might be occasional lab work and lab projects, but it wasn't something that was very much inclusive, nor did they have people step up into leadership roles that early. I look at now my daughter who's right now going to the university, and everything is a cohort group. There's cohorts that are getting together. The studying that they do, they each have to pick up leadership in some regards for some aspect of a project that they're working on. So I think some of the newer people coming into the workforce are sort of built in with the skills to, if they need to take up leadership with something, run a little program, run a project, they've been equipped to do it. At least that's what I've seen.

Mat Lawrence:

I love that concept. Something that I've been observing and I talk it about a lot with our leadership team and our mentor exec teams for the [inaudible 00:19:56] as well. A lot of the conversation that comes up is around team dynamics, team trust, agility within teams, and to generally try and empower teams, set them up so they can be autonomous, they are truly empowered and they're trusted to make great decisions and drive work forwards. You've got a lot of experience in agile and agile [inaudible 00:20:21] agile leader. In your experience leading agile teams, those adoptions and those transformations, I'd love to understand if you see there's a connection between being agile as a team and those traits that an inclusive leader will have. Is there a connection there in your mind between what it means to be agile and be an inclusive leader?

Ray Arell:

I think so. Because if you think of early on, they established that servant leadership was a better leadership style for agile teams. And so I think when we talk about transformation, some of the biggest failures that occur tend to be more based upon not agile, but on issues of trust and other sort of organizational impediments that had already existed there before they got started. And if they don't address those, their agile journey is painful.

I've heard people say that they've gotten Scrummed before, using it in a really kind of derogatory way of thinking that, well, instead of getting a team of empowered people to go do work within the Scrum framework, they end up being put under a micromanagement lens because the culture of the manager didn't shift, and the manager is using it as a daily way to making sure that everyone is working at 120% versus what we should be seeing in the pattern is that the team understands their flow. They're pulling work into the team. It's not being pushed. And those dynamics I think are something that if leadership doesn't shift and change the way that they work, then it just doesn't work in organizations.

Mat Lawrence:

In the many places that you've worked and coached and guided people on, you've started to come across... There's a term that we've started to use of agile natives where people who've really not known any different because so many companies in world are going through agile transformations, and that'll continue for a long time. But as some companies are born with agility at the forefront, have you experienced many people coming through into leadership roles that don't know anything but true agility and really authentic agility as you've just described?

Ray Arell:

Well, I think it's kind of interesting because as you talked about that phrase, I was thinking about it, about, well, if you knew nothing else... But I can also say that you could become native after you've been in the culture for a period of time as well. So you can eventually... That becomes your first reaction, your first habit is pulling more from the agile principles than you would be pulling from something else. Yeah, there are those people, but it's been interesting watching companies like Spotify or watching Salesforce or watching Pivotal, and I can just go down the list of companies that have started as an agile organization, they got large, and then suddenly the anti-patterns of a large company start to emerge within those companies. So even though the people within the smaller tribe are working in an agile way, the company slowly doesn't start to work in an agile way any longer. It falls underneath a larger context of what we see happening with the older companies.

And I think some of that could be the executive culture might be just coming in where they bring somebody from the outside who wasn't a native, and they have a hard time dealing with the notion that, well, we're committing to a delivery date sometime over here, and we think we're going to hit it. But no, we don't have what would be affectionately known as a 90% confident plan that says that we've cleared all risk out of the way. And yeah, it's going to absolutely happen on that day. And some of those companies get really... They feel that they have to commit everything to the street, and if they don't meet it, they've already glued those in to some executive bonus program, ends up driving bad behaviors, unfortunately,

Mat Lawrence:

Yes, I have been there. I'm assuming that in our audience, we're going to have people who are transitioning into more senior leadership roles. They're not emerging leaders, they've been doing it for a while, and they've probably run some successful agile teams at the smaller level as you've described. For those people who are moving into the more senior roles, maybe into exec positions, is there any guidance that you'd give them for navigating that change and trying to maintain, through agile principles and what it means to be agile, in those more senior roles?

Ray Arell:

Yeah, I think part of it is the work that you did as a smaller team, everything still can scale up. And I hate to use the word scale because I think scale is kind of... People kind of use it... What would be the right word? It's misused in our industry. I think values and principles are scale-free. You can still walk each day walking into your team and still embracing those 12 principles, and you're going to do good work. The question is though, is if you're doing that at the lower level, say with a Kanban board, the question is, what does it look like when you're at your executive desk? What is the method that you go pool? If you look at most of the scaled frameworks that are out today, there's very little guidance that's given to what should be in the day in the life of an agile executive. What should that look like?

And for me, if I think about the business team, the management team is working with the delivery teams daily. They should be doing that. So what are you going to put in place for that to facilitate and occur? What are you going to do about... stop doing these big annual budget processes. Embrace things like the beyond budgeting or other things where you're funding the organization strategically, and you're not trying to lock everything in on an annual cadence, but yet your organization beneath is working every two weeks. So you should be able to re-move your bets with any organization based upon the performance of each sprint. Can you do that?

The last one is probably the most important one, is impediments. And that is how fast does it take information to go from the lowest part of the organization to the highest point of the organization? And if that takes three weeks, two weeks, or even sometimes later for certain organizations, optimize that. How do you optimize an impediment that you can personally help to go remove for people so that they're not slowed down by it any longer, whatever that might be?

Mat Lawrence:

You're touching on something there, which I think is a fundamental part of being agile, which is that ability to learn and adapt, and you can only learn when you are aware of what's happening around you, you can observe [inaudible 00:28:39] to it.

Ray Arell:

Well, I said something a couple months ago, and everyone just went, "Why did you say... I can't believe you said that out loud." It's the quiet stuff out loud sometimes. [inaudible 00:28:53]. We were trying to get a meeting together to go fix one of these impediments, and all the senior leaderships was busy. They were busy. And my question was is if this isn't the most important thing right now for us, what do you do? Really, are you doing in your day if this one isn't the highest priority that you walk into? And the questioning senior leaders that maybe they're not paying attention to the right things, and sometimes speaking that truth to power is something we have to do every once in a while.

Mat Lawrence:

I agree. That level of candor is definitely required at all levels and being able to receive that feedback so you can learn and adapt as an individual, as we were talking about earlier, about being adaptive as a leader, but also as a team. There's a point that I'd like to touch on before we wrap up, which is as you climb up the career ladder and you get into a more senior position, and then you become responsible for a broader range of things, particularly as you start reaching that executive level, I've witnessed people struggle with the transition from being the person, as you talked about right at the start of this discussion, being that person who knows everything and who can direct and have all the answers into someone where I see your job changes to being the person who can identify what we know least about, what we as an exec team know least, where we're... have the least confidence, where we see the impediments and we don't know what to do with them.

How do you go about guiding people to embrace that? Because I think what I see is the fear that comes with that, almost a fear of exposure of, "Oh, I'm admitting to people I don't know what I'm doing." And I've been rewarded through my entire career by becoming more of an expert, and suddenly my job is to be the person who's confident enough to call out, this is what we don't understand yet. Let's get together and try and resolve it. When the risk is greater, the impact is greater, and you're responsible for more things, how do you help people transition into that higher-level role?

Ray Arell:

Well, I think part of it is can they let go of that technical side, having to have their hands dirty all the time? And I've seen certain leaders that, really, somebody needs to go back and say, "Are you really sure that this is the career that you're wanting to go to? You seem to be more into wanting to be into the nuts and bolts of things, and maybe that's the best place for you because you feel more comfortable in that space." The other aspect though, as they transition, I think is again, trust becomes critical. Trust the people that are working for you, that they're not coming in and being lazy and you have to go look over their shoulders all the time because you feel that they might not be being productive or other things. You have to have the ability to say that, look, that the people that you hired are talented, and they are moving us towards our goals.

I think what becomes more critical for the health of the organization is that you have to do a much better job at actually saying, "Okay, well, here is our vision," whether it be a product vision, whether it be the company's vision, whatever that might be, helping people to understand what that North Star is, and then reinforcing that not from a perspective of yourself, but a perspective from the customer. And I think this is where a lot of companies start to drift because they start to optimize some internal metric that, yeah, that'll build efficiency within your organization. But what does the customer think? And constantly being able to represent as, if you think of from an agile perspective, the chief product owner of the organization, to be able to represent this is what the customers need and want and to be able to voice that in the vision and the ambitious missions that are set up for the organization. Make it real for people.

And then the last part of that is not everything is going to happen and come true. If you read most executives' bios, there's lots and lots and lots and lots of mistakes. And I remember this of one leader, he was retiring. And I thought this wasn't most awkward time that he actually did this. He actually went up on the stage and he talked about his biggest failure. Now, throughout my career working with this person, I always wondered whether or not they were human. And then on the day of this person's exit, they finally decided to give you a few stories about mistakes that they made. And I think that he really needed to share those stories much, much earlier because I think people would've probably found... They would've been a little stressed working around him. And it would also show some vulnerability for you as a leader to say that you don't have everything figured out, and sometimes it's just a guess. We think that this is where the product needs to go.

And then as soon as you put it in front of the customers, they're going to tell you whether or not... If you take the Cano model and suddenly you're going to hit this is the most exciting thing since sliced bread, are they going to love it or are they going to go, [inaudible 00:35:12]. I'll take it if it's free. You get into this situation where it's like, well, we can't charge as much. But I think those stories become important and anchor organizations. One other aspect of this is I think that by having somebody who's approachable and can relay those stories effectively into the organization and talk about these things, I think then that opens the door for everyone else to do it as well. Because like it or not, humans are hierarchical in the way that we think about things. A lot of people manage up, so they mimic leaders. So be that leader that somebody would want to mimic.

Mat Lawrence:

I think that's great advice, Ray. The connection for me that's run through this whole conversation is around engaging with your work authentically, whether it's the team that you're trying to lead, whether it's the agile practices at whatever scale and level that you're operating at. And to build that trust to enable that to work requires that level of authenticity.

Ray Arell:

Yeah, exactly.

Mat Lawrence:

I would love, as we wrap up, for you to leave any final tips or advice for both current and emerging leaders on that topic. If there's a way beyond just sharing your own personal stories, how would you advise people? What would you leave them with to build some trust in their teams?

Ray Arell:

Well, a couple of things. Number one, you have to be mindful about who you are as a person. Again, like I was saying, that people manage up. And if you send out an email at three o'clock in the morning, and five minutes later your people were responding to you, then you're not being a really good role model of a good work-life balance. So a lot of your tendencies will bleed off into the organization. So regardless how you assess yourself, do an assessment of your leadership, where you think it is. Harvard Business Review, a long time ago, put off the levels of what they saw as leadership models. And the lowest level is the expert and the achiever-based leaders. And if you're one of those, those are not very conducive to a good agile or collaborative culture. So if you're currently setting in that slant, then you should look ways of being able to move yourself more to a catalytic or a synergistic-based leader.

And that journey's not an easy one because I went through that myself. It took years in order to pull away from some of those tendencies that you had as an expert leader. And as an example, an expert-based leader tends to only talk to other experts. If they perceive somebody not to be an expert of something, they tend to discount those individuals and not engage with them. And so again, the full organizational brain is what's going to solve the problem. So how do you engage the entire organization and pull those ideas together?

The other one is that as you go into, from an emergent leader perspective, I think you said it yourself earlier, and that's not just the bias of you're not an expert, I'm not going to talk to you, but any bias that you might have can affect the way that you lead and judge an individual, and really could limit or grow their career based upon maybe a snap judgment that you might have had. So I think you have to be mindful of your decisions that you're taking within the organization and especially the ones you're making of people. And so you got to be careful of those.

The last one is probably just... And this gets into the complex adaptive systems space. Not everything is cut and dry, black and white, or mechanistic, meaning that we can take the same product, redo it again and again and again, and we're going to get different answers. We're going to get different requirements. We're going to get different things. It's okay for that stuff to be there. And it's okay for the stuff that's coming out of our products to be different every once in a while, and specifically because everything, it's a very complex environment. Cause and effect relationships and complexity is, customer can change their mind, and we have to be comfortable with a customer changing their mind. Our customer might have new needs that come up.

And likewise, our employees, they sometimes will have change of thought or change of what they are excited about. How do you encourage that? How do you grow those individuals to retain them in the company, not to use them for the skill they have right now, but how do you play the long game there? And I know I'm getting a little long-winded here, but the thing that I see most, even with all the layoff notices that are going on right now, is that that company's not playing the long game. I think that's a bad move because all you're doing by letting an employee go is enabling your competitor with a whole bunch of knowledge that you should be retaining. So anyway, I'll cut it short there.

Mat Lawrence:

Right. Thank you for sharing your wisdom with us today. It's been an absolute pleasure. I've really enjoyed the chat. So yes, thank you for joining me on the Easy Agile Podcast.

Ray Arell:

Awesome. Thank you for having me.

TL;DR

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

Introduction

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

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

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

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

About Our Guest

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

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

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

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

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

Transcript

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

Maintaining Team Morale and Motivation in the AI Era

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

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

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

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

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

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

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

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

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

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

Creating a Culture of Safe Experimentation

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

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

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

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

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

The Right Mindset for Working with AI

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

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

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

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

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

Maintaining Code Quality and Shared Understanding

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

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

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

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

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

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

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

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

Addressing the Code Review Bottleneck

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

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

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

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

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

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

Ethical Considerations: Balancing Innovation with Responsibility

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

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

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

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

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

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

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

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

Parallels Between Agile and AI Transformations

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

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

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

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

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

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

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

AI for Product Owners: From Ideation to Pull Requests

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

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

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

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

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

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

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

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

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

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

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

Closing the Gap Between Makers and Users

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

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

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

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

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

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

Looking Ahead: The Future of Agile Teams

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

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

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

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

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

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

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

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

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

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

Final Thoughts: Preparing for the Future

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

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

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

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

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

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

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