Easy Agile Podcast Ep.6 Chris Stone, The Virtual Agile Coach

"The episode highlights that Interaction, collaboration, and helping every team member reach their potential is what makes agile work" - Terlya Hunt

In this episode join Terlya Hunt - Head of People & Culture at Easy Agile and Caitlin Mackie - Marketing Coordinator at Easy Agile, as they chat with Jazmin Chamizo and Rakesh Singh.

Jazmin and Rakesh are principal contributors of the recently published report "Reimagining Agility with Diversity, Equity and Inclusion".

The report explores the intersection between agile, business agility, and diversity, equity, and inclusion (DE&I), as well as the state of inclusivity and equity inside agile organizations.

“People are the beating heart of agile. If people are not empowered by inclusive and equitable environments, agile doesn't work. If agile doesn't work, agile organisations can't work."

📌 What led to writing the report
📌 Where the misalignments lie
📌 What we can be doing differently as individuals and business leaders

Be sure to subscribe, enjoy the episode 🎧

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Transcript

Terlya Hunt:

Hi, everyone. Thanks for joining us for another episode of the Easy Agile podcast. I'm Terlya, People & Culture business partner in Easy Agile.

Caitlin Mackie:

And I'm Caitlin, marketing coordinator at Easy Agile. And we'll be your hosts for this episode.

Terlya Hunt:

Before we begin, Easy Agile would like to acknowledge the traditional custodians of the land from which we broadcast today, the Wodiwodi people of the Dharawal nation, and pay our respects to the elders past, present and emerging, and extend the same respect to any Aboriginal people listening with us today.

Caitlin Mackie:

Today, we'll be joined by Jazmin Chamizo and Rakesh Singh. Both Jazmin and Rakesh are principal contributors and researchers of Reimagining Agile for Diversity, Equity and Inclusion, a report that explores the intersection between Agile business agility and diversity equity and inclusion published in May, 2021.

Terlya Hunt:

We're really excited to have Jazmin and Rakesh join us today. So let's jump in.

Caitlin Mackie:

So Jazmin and Rakesh, thank you so much for joining us today. We're so excited to be here with you both today, having the conversation. So I suppose today we'll be unpacking and asking you questions in relation to the report, which you were both principal contributors of, Reimagining Agility with Diversity, Equity and Inclusion. So for our audience tuning in today who may be unfamiliar the report, Jazmin, could you please give us a summary of what it's all about?

Jazmin Chamizo:

Absolutely. And first of all, thank you so much for having us here today and for your interest in our report. Just to give you a little bit of background of our research and how everything started out, the founder and the owner of the Business Agility Institute, Evan Leybourn, he actually attended a talk given by Mark Green. And Mark who used to be, I mean, an Agile coach, he was referring to his not very positive experience with Agile. So this actually grabbed the attention of Evan, who was a big advocate of agility, as all of us are. And they decided to embark upon this adventure and do some research trying to probe on and investigate the potential relationship between diversity, equity and inclusion and Agile.

So we had, I mean, a couple of hypothesis at the beginning of the research. And the first of hypothesis was that despite the positive intent of agility and despite the positive mindset and the values of Agile, which we all share, Agile organizations may be at the risk of further excluding marginalized staff and customers. And the second hypothesis that we had was that organizations who actually embed diversity, equity and inclusion directly into their Agile transformation and then strategy may outperform those organizations who don't. So we actually spent more than a year interviewing different participants from many different countries. And we actually ended up seeing that those hypothesis are true. And today, we would like to share with you, I mean, part of this research and also need to encourage you to read the whole report and also contribute to this discussion.

Terlya Hunt:

Amazing. And Jazmin, you touched on this a little bit in your answer just then, but I guess, Rakesh, could you tell us a bit more about what was the inspiration and catalyst for writing this report?

Rakesh Singh:

Yeah. So thanks for inviting once again. And it's a great [inaudible 00:03:51] talk about this beautiful project. The BAI was actually into this activity for a long time, and I happened to hear one of the presentation from Evan and this presentation actually got me interested into business agility and associated with DEI. So that was one thing. And second thing when Evan talked about this particular project, invited all of us, I had been with transformation in my job with Siemens for about three decades for a very long time. And we found that there were always some people, whenever you do transformation, they were not interested or they were skeptical. "We are wasting our time." And okay, that was to be expected, but what was surprising that even though Agile came up in a big way and people thought, "Okay. This is a solution to all our miseries," even though there was a focus on culture, culture was still our biggest issue. So it appeared to me that we are not really addressing the problem.

And as Jazmin talk about our goal and our hypothesis, and that was attractive to me that maybe this project will help me to understand why some [inaudible 00:05:12] to get the people on board in some of the Agile transformation.

Terlya Hunt:

Thank you. That was awesome. I think it definitely comes through in the report that this is a topic that's near and dear to all of you. And in the report you mentioned, there's a lack of consensus and some misalignment in defining some of these key terms. So thought to frame the conversation today, Jazmin, could you walk us through some of these key definitions, agility, diversity, equity, and inclusion.

Jazmin Chamizo:

That's a great question now, because over the last year, there's been a big boom on different topics related to diversity, equity and inclusion, I mean, especially with the Black Lives Matter movement and many different events that have affected our society in general. And with the rise of social movements, I mean, there's been a lot of talk in the area of diverse, equity and inclusion. And when we talk about agility, equality, equity and inclusion and diversity, I mean, it's very important to have a very clear understanding of what we mean with this terms. Agility is the mindset. I mean, it's really about having the customer, people, at the very center of the organization. So we're talking about agile ways of working. We're talking about more collaborative ways of working. So we can bring the best out of people and then innovate and put products into the market as fast as possible.

Now, when we were thinking about agility and this whole idea of putting people at the very core and customer at the very core of organization so we can respond in a very agile and nimble way to the challenges that our society presents at the moment, we found a lot of commonalities and a lot of similarities with diversity, equity and inclusion. However, when we talk about diversity, equity and inclusion, there's some nuances in the concepts that we need to understand. Diversity really refers to the mix. It refers to numbers, to statistics, all the differences that we have. There's a very long list of types of diversity. Diversity of gender, sexual orientation, ways of our thinking, our socioeconomic status, education and you name it, several types of diversity.

Now, when we talk about equality, I mean, we're talking about applying the same resources and support structures, I mean, for all. However, equality does not actually imply the element of equity, which is so important when we talk about now creating inclusive environments. With equity, we're talking about the element of fair treatment, we're talking about social justice, we're talking about giving equal access to opportunities for all. So it's pretty much about leveling the filed, so all those voices can be part of the conversation and everybody can contribute to the decision making in organizations and in society. So it's that element of fair treatment, it's that element of social justice that the element of equity has to contribute and that we really need to pay attention to.

And inclusion is really about that act of welcoming people in the organization. It's about creating all the conditions so people, everybody, can thrive and everybody can succeed in an organization. So I think it's very important, I mean, to have those definitions very clear to get a better understanding of how they overlap and how there's actually, I mean, a symbiotic relationship between these concepts.

Caitlin Mackie:

Yeah. Great. And I think just building on that, interaction, collaboration and helping every team member reach their potential is what makes Agile work. So your report discusses that there are lots of overlaps in those values with diversity, equity and inclusion. So I think, Rakesh, what are those key overlaps? It seems those qualities and traits go hand in hand. So how do we embrace them?

Rakesh Singh:

So if you see most of the organization which are big organization and being for about two decades or so, and you compare them with the startup organization, so in the traditional setup, normally people are working in their functional silos, so to say. And so the Agile transformation is taken care by one business function. It could be a quality team. It could be a transmission team. And DEI normally is a domain of an HR or people who enter the organization. And the issue is that sometime these initiatives, they are handled separately and the amount of collaboration that's required does not happen, whereas in a startup company, they don't have these kind of divisions.

So looking that as a basis, what we need to look at is that the organization should be sensitize that they work together on some of these projects and look at the underlying what is the commonality, and we can possibly either help each other or complement each other, because one example is, if I can give, it's very easy to justify an Agile transformation relating to a business outcome, okay, but any people related change is a very long-term change. So you cannot relate that to a business outcome in a shorter timeframe. So I call Agile and DEI as symbiotic. An Agile can be helped by a DEI process and DEI itself can be justified by having an Agile project. So they are symbiotic.

Now, what is the common thing between the two? So there are four items. I mean, there are many things which are common, but four things which I find are most important. Yeah? The first thing is respect for people, like Jazmin talked about being inclusive. So respect for people, both Agile and DEI, that's a basis for that. And make people feel welcomed. So no matter what diversity they come from, what background they come from, they're feeling welcome. Yeah? The second part is the work environment. So it's a big challenge to create some kind of a psychological safety. And I think people are now organizing, the management is now understanding that they think that they have provided a safe place, but people are still not feeling safe for whatever reason there. That's one thing.

The other thing is that whatever policies you write, documentation, policies or announcement, the basic things that people see, is it fair and is it transparent? Yeah? So I used to always see that if there are two people given bonus, if one person get 5% more, no matter how big is the amount, there's always felt that, "I have not got my due." Yeah? So be fair and be transparent. And the last one is that you have to invest in people. The organization need to invest in people. The organization need to invest in enabling them with opportunity to make use of new opportunity, and also grow and through learning. So these are four things that I can see, which actually can help both being an agile, and also having inclusive environment in the company.

Caitlin Mackie:

The report mentions that some of those opportunities to combine agile and diversity equity inclusion are being overlooked. Why do you think this is?

Rakesh Singh:

So I think that the reason why they're being overlooked is that, it's basically, educating the leaders. So it's just, if I'm in the agile world, I do not really realize that there are certain people related aspect. I think, if I just make an announcement, people will participate. Okay? So that's the understanding. On the other side, we got an input from quite a few responders saying that some of the DEI projects are basically words, are not really sincere about it. It's a waste of time. "I'm being forced to do certain training. I'm forced." So the sincerity part, sometime there's a lacking, so people have to be educated more at a leadership level and on at a employee level.

Caitlin Mackie:

I think a really interesting call out in your research is that many agile processes and rituals are built to suit the majority, which excludes team members with diverse attributes. Jazmin, what are some of those rituals?

Jazmin Chamizo:

Yeah, that's a great question. Now, if you think about agile and agile rituals and for example, I mean, daily standups, a lot of those rituals have not actually thought about diversity, or the design for diversity and inclusion. I mean, agile is a very on the spot and is a very, who can talk, type of rituals. But there's a lot of people, I mean, who might need more time to process information before they can provide inputs, so fast. So that requirement of processing information or giving input in a very fast manner, in daily standups, that might be overlooking the fact that a lot of people, with a different type of thought processing styles or preferences may need more time to carry out those processes.

So that would be, I mean, number one; the fact that it's very on the spot and sometimes only the loud voices can be heard. So we might be losing a lot of opportunities, trying to get feedback and input from people with different thinking styles.

Now, also, if you think about organizations in different countries, where English is not the native language of a lot of people, they may also feel a lot of disadvantage. This happens a lot in multinational organizations, where people whose, you know, first language is English, they feel more confident and they're the ones who practically may monopolize now the conversations. So, for people who's first language is not English, I mean, they might feel at a disadvantage.

If you think about older employees who sometimes may not be part of an agile transformation, they might also feel that are not being part of the team and they may not have the sense of belonging, which is so important in an agile transformation and for any organization. Another example, I mean, would be people, who because of their religious belief, I mean, they need maybe to pray five times in a day, and I mean maybe a morning stand up might mean very difficult to adapt to, or even people with disabilities or language differences, they feel a little intimidated by agile. So there's a lot of different examples. And Doug report actually collects several lived experiences, by the respondents that we interview that illustrate how agile has been designed for the majority and for a more dominant type of culture and that highlights the need to redesign many of these rituals and many of these practices.

Caitlin Mackie:

Yeah, I think just building on that in your recommendations, you mentioned consciously recreating and redesigning these agile ways of working. What are some of the ways we can rethink and consciously create these?

Jazmin Chamizo:

Mm-hmm (affirmative). Well, the good news is that, during our research, and during our field work and the conversations that we had with some organizations mean there's a lot of companies and organizations that have actively implementing them different types of practices, starting from the way they're managing their meetings, their rituals, their stand ups, giving people an opportunity to communicate in different ways. Maybe giving some room for silence, so people can process their information or providing alternative channels for people to communicate and comment either in writing or maybe the next day. So it doesn't have to be right there on the spot., and they don't feel under that type of pressure.

Now, another example would be allowing people, I mean, to also communicate in their native language. I mean, not necessarily using English, I mean, all the time as, I mean, the main language. I think it's also important for people to feel that it can contribute with their own language, and also starting to analyze, I mean, the employee experience. We're talking about maybe using non-binary options in recruitment processes or in payroll. So, I mean, starting to be more inclusive in the different practices and analyzing, I mean, the whole employee journey. I mean, those are some examples that we can start implementing to creating a more inclusive environments. And the one that is the most important for me is encouraging leadership to intentionally design inclusive work environments through the use of, like creating environments that are really where people feel safe, where they have this. Psychologically safe.

Terlya Hunt:

The whole section on exploring and challenging existing beliefs is so interesting. And I would definitely encourage everyone listening to go and read it. I could ask you so many questions on this section alone, because I think it was full of gold, and honestly, my copy is highlighted and scribbled and I read it and reread it, there was so much to absorb. The first thing that really stood out to me as a HR practitioner in an agile organization was this belief that focusing on one or two areas of diversity first is a good start. And from your research, what you actually found was that survey respondents found this method ineffective and actually harmful for DEI. And in your research, you also reference how important it is to be intentional and deliberate. So I guess, how do we balance this need for focus and creating change with these findings that being too narrow in our focus can actually be harmful? Might throw this one to you, Rakesh.

Rakesh Singh:

So actually, thanks to the reform data report, very interesting, in fact, we presented to quite a few groups. And one of the thing that I observed when we are talking about some of the beliefs and challenges, there were immediate to response say, "Hey, we do experience in our area." So, what we realized is that this whole aspect, as Jazmin talked about, many dimensions. So if you look at inclusiveness, and diversity and equity across organization, there are many streams, and many triggers. As diversity, we understand, okay, in very limited way, it may be gender, or it may be religion or country, but actually, it's much more in a working environment, there are many dynamics which are [inaudible 00:22:15]. So the challenges, what we saw was that if you pick up a project in a very sincere way and say, "I'll solve one problem, okay?" Let me say I solve problem of a region or language, yeah? Now the issue is that most of the time, we look at the most dominant and identify that problem.

So what happens is that you actually create an inequity right there, because there are other people they are suffering. They are, I won't say, "Suffering," but they're influenced by other factors of diversity and they felt, "Okay, nobody's really caring for me." Yeah? So you have to look at in a very holistic picture, and you have to look at in a way that everybody is on board, yeah? So you may not be able to find solution to every specific problem, but getting everybody on board, and let people work in some of the environment or either psychological safety or the policy level, so create an environment where everybody can participate, and issues can be different so they can bring up their own issues, and make sure they feel that they they're cared for. And that's what we actually observed.

Terlya Hunt:

And the second belief I thought was really interesting to call out was that this belief that we will adapt to somebody's beliefs if they ask. And your research found that not everyone is able to disclose their needs, no matter how safe the working environment, so that by relying on disclosure is the first step in the process,. Organizations will always be a step behind and, and also place the burden of change on marginalized groups. What are some things we can do, Rakesh, to remove this pressure and to be more proactive?

Rakesh Singh:

So there are a couple of things that we need to look at when we talk to people, actually, they discussed about the problem, and they also recommended what could be right, we are doing it. And we also discussed among ourselves. So one thing which was very clear that there was a little doubt about the sincerity of leadership. And so, we felt that any organization where leader was very proactive, like, for example, what is the basic reason, if I have a problem, if I talk about it, I am always worried what will happen when I disclose it? And is it the right issue to talk about it? So, these are the questions would inhibit a lot of people not to talk about it at all. So, that's where the proactive leadership can help people to overcome their inhibition and talk about it, and unless they discuss about it, you'll never know if there's a problem. So, that's the one thing. So, that's the approach.

So there are a couple things that we could also recommend, is proactive leadership to start with, and something which can be done is there are a lot of tools available for the managers, yeah? People leaders, I would call it. Things like coaching, so you have a grow model where you can coach an individual person, even as a manager or as an independent coach, then having a facilitation techniques. When I started my career, they were not a training on facilitation, just going to the room and conduct the meeting. But they're very nice tools, facilitation techniques, which can be brought out to get people to participate, and so things like that can be very useful for being proactive and drawing people out of their inhibition. That definitely is with the leader. That's why we call it servant leadership. It is their job to initiate and take the lead, and get people out of their shell.

Terlya Hunt:

It ties quite nicely into the next question I had in mind. You both actually today have mentioned a lot of challenging beliefs, and calling things out. We need to build this awareness, and create safe spaces, and create psychological safety in our teams. What are some examples of how we can create safe spaces for these conversations?

Rakesh Singh:

The examples of someone creating safe places is ... I would say that educating people and the leaders. What I have seen is that if the leadership team recognizes that and educates the managers and other people ... You need to actually train people at different level, and create an environment that everybody's participating in the decision making, and they're free to make choices within, of course, the constraint of the business.

The focus, where I would put it, is that there are many educational programs and people would like to educated, because I normally felt that I was never trained for being a good leader. There was never training available. But these days we find that a lot of educational programs highlighting a various issue, like microaggression, unconscious bias, psychological safety. People should understand it. Things like being empathetic. These terminologies are there, but I find that people don't really appreciate it and understand it to the extent that they need to do, even though they are in a leadership position.

Caitlin Mackie:

Thanks for sharing, Rakesh. I really love what you mentioned around proactive leadership, there. Your research found that 47% of respondents believed organizations who achieved this unity of Agile, and diversity, and equity, and inclusion will reap the benefits and exceed competitors. Jazmin, what did these organizations do differently?

Jazmin Chamizo:

Yes. That's a great question. Actually this ties very nicely with idea of servant leadership, inclusive leadership, and how leaders have this incredible challenge of creating workspaces that are psychologically safe, as Rakesh just mentioned. This is really everybody's responsibility, but it has a lot to do with a very strong leadership.

We found that several other organizations that we interviewed, they had a very strong leadership team, that they were really committed with diversity, equity, and inclusion in their agile transformation, and they were able to put DEI at the very core of the organization. That's number one, having a very strong leadership team that's actually committed to diversity, equity, and inclusion, and that does not perceive DEI efforts as isolated actions or initiatives.

This is something that we're seeing a lot nowadays. As a DEI coach and consultant, sometimes you see, unfortunately, several organizations that only try very isolated and very ... They don't have long-term strategy. What we have seen that actually works is having this committed leadership team that has been able to put DEI at the very core of their strategy.

Also a team that has been able to serve as an advocate in diversity, equity, and inclusion, and agility, and they're able to have advocates throughout the organization. It's not just one person's job. This calls for the effort of the whole organization and individuals to commit to DEI and be actively part of the agile transformation.

Also, I would say, leaders that embrace mistakes and embrace errors throughout the process. This is something that came up a lot during our conversations with people in different organizations, that in many cultures and in many organizations, mistakes are punished. They're not perceived as a source of opportunity.

One of the tips or best practices would be having leaders who are able to show the rest of their organization that mistakes are actually learning opportunities, that you can try things out of the box, and you can be more innovative. That even if you fail, you're not going to be punished, or there won't be any consequences because of that, and, quite on the country, that this is actually a learning opportunity that we can all thrive on.

Caitlin Mackie:

Yeah. I completely agree. What benefits did they see?

Jazmin Chamizo:

They definitely saw a greater working environment. This is something that was quoted a lot during our interviews with respondents, that individuals saw that they had the chance to try new and innovative ideas. Definitely greater innovation, more creativity. Business morale actually ultimately went up, because they saw that the organization was actually embracing different perspectives, even if they fail. This definitely called for greater innovation.

I would say innovation, more creativity, and a better working environment. Absolutely new products, new ideas. That if you think about the current circumstances with COVID, this is what organizations have to aim at. New products, more innovation to face all the challenges that we have nowadays.

Terlya Hunt:

Powerful things for the listeners to think about. Here at Easy Agile, our mission is to help teams be agile. Because we believe for too long the focus has been on doing, when the reality is that Agile is a constant journey of becoming.

There's a specific part in the report that really stood out to me that I'd like to read. "Agility is a journey with no fixed endpoint. The road towards creating diverse, equitable, and inclusive environments is the same. Agility and DEI can be pursued, but never fully achieved. They are a process of ongoing learning, reflection, and improvement. A team cannot enter the process of improving business agility or DEI with a mindset towards completion, and any model that unites Agile and DEI will ultimately be ineffective if those taking part are not ready to embark on an ongoing quest for self improvement."

I absolutely love this quote. Rakesh, let's explore this a little bit further. What more can you tell me about this?

Rakesh Singh:

Actually there's an interesting thing that I would like to share to start with. We wanted to look for a organization who would help us interview their people and talk to their people. The way organizations responded ... Some responded, "Shall I allow my people to talk to somebody? It could be a problem." But then we got other organizations, they were actually chasing us. "We would like to be part of this, and we would like to get our people interviewed." They were very positive about the whole thing.

I happened to talk to the DEI corporate manager, a lady, and the way she was talking was ... She was so much, I would say, passionate about the whole thing, even though at least I felt that they were very high level of awareness of DEI. But the quest for learning and finding out what they could do better was quite astonishing and quite positive.

That's where my answer is, is that ... If you look at the current pandemic, and people realized that, "Okay. We have to work from home," initially some people found it great. It's a great thing. Work-life balance. "I can attend my home." But after some time they found it's a problem. There's other problem.

The point is that, in any organization, where it's a business or a social life, or people, it just keeps changing. There's no method or policy which is going to be forever valid. There's a continuous learning process that we have to get in.

What we need to do is focus on our goal that we want to achieve. Depending on the environment, that's what we call business agility. Now bring it to people as well, because it is a people ... We talk about customer centricity, and all that. But finding it's the people who are going to deliver whatever organization want to. You have to see how their lives are getting impacted.

We are discussing about getting people back to office. The problem is that, a city like Bangalore, it's a very costly city and very clouded city. People have gone to their hometown and they can work from there. Now, to bring them back, you have to approve them back again. To cut short the explanation, our life is changing, constantly changing, and technology and everything is putting ... People have to look at methods and approach of how they can be adapting themself on a continuous basis.

Learning is a continuous process. In fact, when I got into Agile and people ask me, "How many years of experience you have?" I generally say five years, because anything that I did before five years is actually the wrong practice. You have to be continuously learning, and DEI and Agile is no stranger to this situation.

Caitlin Mackie:

I love that. I think fostering that continuous learning environment is really key. I suppose, on that, a few of the recommendations from the report are centered around getting deeper training and intentional expertise. Jazmin, what further recommendations, or courses, or practitioners are there that people can engage with after this episode?

Jazmin Chamizo:

Sure. An important part of our report was a series of recommendations to the entire agile community, and practitioners, to organizations, and agile coaches. You can see that. You could get more specific information in our reports. I would like to encourage all of you to read. Definitely when it comes to agile coaches and consultants, we're encouraging people to learn more about diversity, equity, and inclusion because one of the insights and the learnings we drew from this research is that diversity, equity, and inclusion is not specifically included in the agile world.

When we talked to the respondents in many different countries, they did not spontaneously made the connection between agility, Agile, and diversity, equity, and inclusion. But the more we talk about it, they discovered that, indeed, they were very closely overlapped. There was a symbiotic relationship between them, because you're putting the person and everything that relates to that individual on the very core of the organization, on the transformation.

Definitely we do encourage ... Leaders and agile coaches need to start learning more about our DEI, building that proficiency, learning more about unconscious bias and the impact of unconscious bias, and discrimination, and racism that we'll continue to see in organizations. They're more mindful of those voices that are not being heard at the moment in the present conversations. They can learn different techniques or different methods to be more engaging and more inclusive.

When it comes to the agile community in general and influencers, it is important to mention that Evan Leybourn, the founder of the Agility Institute, is having at the moment some conversations with important institutions in the agile community, such as the Agile Alliance, because we are looking for ... That's what Gen Z-ers are looking for. There's a big call out there for organizations to embrace this type of transformation, but putting DEI at the very core of the organization. That's what I would like to say.

Contribute to the discussion. This is a pilot project. That we are hoping to conduct more research on other DEI areas related to agility. We would like listeners to be part of the conversation, and to contribute with their experience, to improve the state of agility in the current moment.

Caitlin Mackie:

Thank you both so much for joining us today. Thoroughly enjoyed our conversation. I can't wait to see how Agile and diversity, and equity, and inclusion evolves in the future. Thank you.

Jazmin Chamizo:

Thank you so much for having us. It's been a pleasure.

Rakesh Singh:

Thanks a lot to both of you. It was nice to share our experience. Thank you very much.

"That's a wrap on Agile2022! It was great to be able to catch up with so many of you in the agile community in-person!" - Tenille Hoppo

This bonus episode was recorded LIVE at Agile2022 in Nashville!

The Easy Agile team got to speak with so many amazing people in the agile community, reflecting on conference highlights, key learnings, agile ceremonies + more!

Thanks to everyone who stopped by the booth to say G’Day and enjoyed a Tim Tam or two ;)

Huge thank you to all of our podcast guests for spending some time with us to create this episode!

• Cody Wooten
• Gil Broza
• Maciek Saganowski
• Lindy Quick
• Carey Young
• Leslie Morse
• Dan Neumann
• Joseph Falú
• Kai Zander
• Avi Schneier
• Doug Page
• Evan Leybourn
• Jon Kerr
• Joshua Seckel
• Rob Duval
• Andrew Thompson

Transcript

Caitlin:

Hi, everyone. Well, that's a wrap on Agile 2022 in Nashville. The Easy Agile team is back home in Australia, and we spent most of our journey home talking about all of the amazing conversations that we got to have with everyone in the Agile community. It was great catching up with customers, partners, seeing old friends, and making lots of new ones. We managed to record some snippets of those amazing conversations, and we're excited to share them with you, our Easy Agile Podcast audience. So enjoy.

Maciek:

[inaudible 00:00:26].

Tenille:

Maciek, thanks so much for taking time with us today.

Maciek:

No worries.

Tenille:

[inaudible 00:00:30], can you let us know what was the best thing you've learned this week?

Maciek:

Oh, that was definitely at Melissa Perri's talk. When she talked about... Like, to me, she was talking about slowing down. And what we do in Agile, it's not just delivery, delivery, delivery, but very much learning and changing on things that we already built, and finding out what value we can give to customers. Not just ship features, it's all about value. That's what I learned.

Tenille:

That's great. Thank you. So what do you think would be the secret ingredient to a great Agile team?

Maciek:

Humility. Somehow, the team culture should embrace humility and mistakes. And people should not be afraid of making mistakes, because without making mistakes, you don't learn. That's what I think.

Tenille:

So what would be, I guess, if there's one Agile ceremony that every team should do, what do you think that might be?

Maciek:

For sure, retro, and that comes back to the mistakes and learning part.

Tenille:

Yeah. Fantastic.

Maciek:

No worries.

Tenille:

That's great. Thanks so much for taking time.

Maciek:

Okay. Thank you.

Tenille:

Cheers.

Gil:

[inaudible 00:01:42].

Caitlin:

Gil:, thank you so much for chatting with us. So we're all at Agile 2022 in Nashville at the moment. There's lots of interesting conversations happening.

Gil:

Yes.

Caitlin:

If you could give one piece of advice to a new forming Agile team, what would it be?

Gil:

It would be to finish small, valuable work together. It has a terrible acronym, FSVWT. So it cannot be remembered that way. Finish small, valuable work together. There's a lot of talk about process, working agreements, tools. This is all important, but sometimes it's too much for a team that's starting out. And so if we just remember to finish small valuable work together, that's a great story.

Caitlin:

Yeah, I love that. And you were a speaker at conference?

Gil:

Yes.

Caitlin:

Can you give our audience a little bit of an insight into what your conversation was about?

Gil:

What happens in many situations is that engineering or development doesn't really work collaboratively with product/business. And instead, there is a handoff relationship. But what happens is that in the absence of a collaborative relationship, it's really hard to sustain agility. People make a lot of one-sided assumptions. And over time, how decisions get made causes the cost of change to grow, and the safety to make changes to decrease. And when that happens, everything becomes harder to do and slower to do, so the agility takes a hit. So the essence of the talk was how can we collaboratively, so both product and engineering, work in ways that make it possible for us to control the cost of change and to increase safety? So it's not just collaboration of any kind. There are very specific principles to follow. It's called technical agility, and when we do that, we can have agility long-term.

Caitlin:

Great. I love it. Well, thank you so much and I hope you enjoy the rest of your time at the conference.

Gil:

Thank you.

Caitlin:

Great. Thank you.

Tenille:

Hi, Tenille here from Easy Agile, with Josh from Deloitte, and we're going to have a good chat about team retrospectives. So Josh, thank you for taking the time to have a good chat. So you are a bit of an expert on team retrospectives. What are your top tips?

Josh:

So my top tips for retrospective is first, actually make a change. Don't do a lessons observed. I've seen lots of them actually make a change, even if it's just a small one at the end. The second, and part of that, is make your change and experiment. Something you can measure, something that you can actually say yes, we did this thing and it had an impact. May not be the impact you wanted, but it did have some kind of impact. The second tip is vary your retrospectives. Having a retrospective that's the same sprint after sprint after sprint will work for about two sprints, and then your productivity, your creativity out of the retrospective will significantly reduce.

Tenille:

That's an excellent point. So how do you create [inaudible 00:05:03]?

Josh:

Lots and lots of thinking about them and doing research and using websites like TastyCupcakes, but also developing my own retrospectives. I've done retrospective based on the Pixar pitch. There's six sentences that define every Pixar movie. Take the base sentences, apply them to your sprint or to your PI and do a retro, and allow the team that creativity to create an entire movie poster if they want to. Directed by [inaudible 00:05:34], because it happens. People get involved and engaged when you give them alternatives, different ways of doing retrospectives.

Tenille:

That's right. So for those teams that aren't doing retrospectives at the moment, what's the one key thing they need to think about that you... What's the one key thing you could tell them to encourage them to start?

Josh:

If you're not doing retrospectives, you're not doing [inaudible 00:05:54]. So I shouldn't say that. But if you're not doing retrospectives, if you truly believe that you have absolutely nothing to improve and you are 100% of the best of the best, meaning you're probably working at Google or Amazon or Netflix, although they do retrospectives. So if you truly believe that you are the equivalent of those companies, then maybe you don't need to do them, but I'm pretty sure that every team has something they can improve on. And acknowledging that and then saying, how are we going to do that? Retrospective's a very fast, easy way to start actually making those improvements and making them real.

Tenille:

Fantastic. Great. Thanks so much for taking the time to chat to us briefly about retrospectives.

Josh:

Thank you.

Caitlin:

We're here with Leslie, who is the president of women in Agile. Leslie, there was an amazing event on Sunday.

Leslie:

Yes.

Caitlin:

Just talk to us a little bit about it. What went into the planning? How was it to all be back together again?

Leslie:

It was amazing to have the women in Agile community back together, right? Our first time since 2019, when everyone was together in Washington DC for that event. The better part of six or seven months of planning, we had about almost 200 people in the room. Fortunately, we know the [inaudible 00:07:10] of what these women in Agile sessions that we do, part of the Agile Alliance conferences every year, right? We've got a general opening. We've got a great keynote who is always someone that is adjacent to the Agile space. We don't want to just like... We want to infuse our wisdom and knowledge with people that aren't already one of us, because we get all of the Agile stuff at the big conference when we're there.

Leslie:

So that part, we always have launching new voices, which is really probably one of my most favorite women in Agile programs. Three mentees that have been paired with seasoned speakers, taking stage for the first time to share their talent and their perspective. So that's really great. And then some sort of interacting networking event. So that pattern has served us really well since we've been doing this since 2016, which is a little scary to think it's been happening that long. And it's become a flagship opportunity for community to come together in a more global fashion, because the Agile Alliance does draw so many people for their annual event.

Caitlin:

Yeah, for sure. Well, it was a great event. I know that we all had a lot of fun being there. What was your one key takeaway from the event?

Leslie:

I'm going to go to [inaudible 00:08:14] interactive networking that she did with us, and really challenging us to lean into our courage around boundaries and ending conversations. We don't have to give a reason. If some conversation's not serving us or is not the place that we need to be for whatever reason, you absolutely have that agency within yourself to end that conversation and just move on. I love the tips and tricks she gave us for doing that well.

Caitlin:

Yes, yes, I love that too. That's great. Well, thank you so much. Appreciate it.

Leslie:

Yeah. Thanks for having me.

Tenille:

Hi, Evan. How are you?

Evan:

Very good.

Tenille:

That's good. Can you please tell me what's the best thing you learned today?

Evan:

The best quote I've got, "Politics is the currency of human systems." Right?

Tenille:

Wow.

Evan:

So if you want to change a human system, you got to play the politics.

Tenille:

Fantastic.

Evan:

Which feels crappy, but-

Tenille:

It's the way it is.

Evan:

... that's the way it is.

Tenille:

[inaudible 00:09:07]. Okay, next question. What is the Agile ceremony that you and your team can't live without?

Evan:

Retrospective. With the retrospective, you can like create everything else.

Tenille:

Fantastic. That's really good. And what do you think is probably the key ingredient to a good retrospective?

Evan:

Oh, trust. Trust requires respect. It requires credibility. It requires empathy. So trust is like that underpinning human capability.

Tenille:

Yeah. Fantastic. Thanks very much.

Evan:

Thank you.

Tenille:

Yes.

Caitlin:

Right. We're here with Cody from Adfire. So Cody, how you enjoyed the conference so far?

Cody:

I'm really loving the conference. It's been awesome. To be honest, when we first got here, it seemed maybe a little bit smaller than we thought, but the people here's been incredible, highly engaged, which was always great. And plus, a lot of people are using Jira and Atlassian. So lot of big points.

Caitlin:

Win-win for both, huh?

Cody:

Yeah. Always, always, always.

Caitlin:

Very good.

Cody:

Yeah.

Caitlin:

Lots of interesting talks happening. Have you attended any that have really sparked an interest in you? What's [inaudible 00:10:15]-

Cody:

Yeah. I can't remember any of the talk names right off the top, but they've all been incredibly insightful. Tons of information. It seems like there's been a topic for everything, which is always a great sign and stuff like that. So my notes, I have pages and pages and pages of notes, which is always a good sign.

Caitlin:

Yeah, that's [inaudible 00:10:34].

Cody:

So I'm I have to go back and [inaudible 00:10:35] again.

Caitlin:

Yes.

Cody:

But it's been incredible and the talks have been very plentiful, so yeah.

Caitlin:

Good. Good. And what is the one key takeaway that you are looking forward to bringing back and sharing with the team?

Cody:

Well, I think one of the key takeaways for us was that... I talked about the engagement that everybody has, but one thing that's been incredible is to hear everybody's stories, to hear everybody's problems, their processes, all of that stuff. So all of that information's going to be a great aggregate for us to take back and create a better experience with our product and all that good stuff. So yeah.

Caitlin:

For sure. I love it. Now, I have one last question for you. It's just a fun one. It's a true or false. We're doing Aussie trivia. Are you ready for this one?

Cody:

Okay.

Caitlin:

Okay.

Cody:

Hopefully.

Caitlin:

So my true or false is, are Budgy Smugglers a type of bird?

Cody:

Are buggy smugglers-

Caitlin:

Budgy Smugglers.

Cody:

Budgy Smugglers.

Caitlin:

A type of bird.

Cody:

True.

Caitlin:

False. No.

Cody:

What are they?

Caitlin:

Speedos.

Cody:

Yeah. Well, I've got some of those up there in my luggage. So I'll bring the budgys out now.

Caitlin:

With your Daisy Dukes.

Cody:

Exactly. Exactly.

Caitlin:

Yeah. And cowboy boots, right?

Cody:

Yeah.

Caitlin:

Well, thank you so much.

Cody:

Thank you.

Caitlin:

Very appreciate it.

Cody:

Yeah. Thank you.

Tenille:

Doug, how are you?

Doug:

I'm great. Thank you.

Tenille:

Awesome. Well, tell me about, what's the best thing you've learned today?

Doug:

I think learning how our customers are using our products that we didn't even know about is really interesting.

Tenille:

That's amazing. Have you had a chance to get out to many of the sessions at all?

Doug:

I actually have not. I've been tied to this booth, or I've been in meetings that were already planned before I even came down here.

Tenille:

[inaudible 00:12:01].

Doug:

Yeah.

Tenille:

That's good. So when you're back at work, what do you think is probably the best Agile ceremony that you and your team can't live without?

Doug:

I think what I'm bringing back to the office is not so much ceremony. It's really from a product perspective. I work in product management. So for us, it's how we can explain how our product brings value to our customers. So many lessons learned from here that we're really anxious to bring back and kind of build into our value messaging.

Tenille:

Fantastic.

Doug:

Yeah.

Tenille:

Thanks. That's great. Thanks very much.

Caitlin:

He was one of the co-authors of the Agile Manifesto. Firstly, how are you doing in conference so far?

John:

Well, working hard.

Caitlin:

Yeah, good stuff.

John:

Enjoying Nashville.

Caitlin:

Yeah. It's cool, isn't it? It's so different from the [inaudible 00:12:46] what's happening.

John:

Yeah. It's good. Yes. It's nice to see a lot of people I haven't seen in a while.

Caitlin:

Yeah. Yeah.

John:

And seeing three dimensional.

Caitlin:

Yes. Yeah, I know. It's interesting-

John:

It's there-

Caitlin:

... [inaudible 00:12:54] and stuff happening.

John:

Yeah, IRL.

Caitlin:

Lots of interesting [inaudible 00:13:01] that's happening. Any key takeaways for you? What are you going to take after to share with the team?

John:

Oh, well, that's a good question. I'm mostly been talking with a lot of friends that I haven't seen in a while. [inaudible 00:13:14].

Caitlin:

Yes.

John:

And since I've only been here a couple days, I haven't actually gone for much, if anything. To be frank.

Caitlin:

I know. Well, we're pretty busy on the boots, aren't we?

John:

Yeah. Yeah. But certainly, the kinds of conversations that are going on are... I was a little bit worried about Agile. Like, I don't want to say... Yeah, I don't want to say it. But I don't want to say, Agile's becoming a jump turf.

Caitlin:

Yes.

John:

But I think there's a lot of people here that are actually really still embracing the ideals and really want to learn, do and practice [inaudible 00:14:00].

Caitlin:

Yeah.

John:

So I'm frankly surprised and impressed and happy. There's a lot. If you just embrace more of the manifesto, and maybe not all of the prescriptive stuff sometimes, and you get back to basics. [inaudible 00:14:22]-

Caitlin:

Yeah. So let's talk about that, the Agile Manifesto that you mentioned. Embracing that. What does embracing mean? Can you elaborate on that a bit more? So we know we've got the principles there. Is there one that really stands out more than another to you?

John:

Well, my world of what I was doing at the time, and I'd done a lot of defense department, water haul, and built my own sort of lightweight process, as we call it before Agile. So to me, the real key... This doesn't have the full-

Caitlin:

Full manifesto, yeah.

John:

But if you go to the website and read at the top, it talks about like we are uncovering ways by doing, and I'm still learning, still uncovering. And I think it's important for people to realize we really did leave our ego at the door. Being humble in our business is super important. So that might not be written anywhere in the principles, but if the whole thing at the preamble at the top, and the fact that we talk about how we value those things on the blog versus the whole... There's a pendulum that you could see both of those things collide. That, in my opinion, one the most important trait that we should exercise is being humble, treating things as a hypothesis. Like, don't just build features [inaudible 00:15:58] bottom up, how do you seek up on the answers, that's what I want people to takeaway.

Caitlin:

That's great. That's great advice. Well, thank you so much, John. Appreciate you taking the time to chat with us.

John:

You're welcome, Caitlin.

Caitlin:

Yeah. Enjoy what's [inaudible 00:16:11].

John:

Thank you.

Caitlin:

Thank you.

John:

[inaudible 00:16:13] tomorrow.

Caitlin:

All right.

Tenille:

Abukar, thanks for joining us today. Can I ask you both, what do you think is the best thing you've learned today?

Avi:

Best thing I've learned?

Tenille:

Yeah.

Avi:

That's a really interesting one. Because I'm here at the booth a lot, so I'll get to attend a lot of things. So there were two things I learned that were really important. One, which is that the Easy Agile logo is an upside down A, because it means you're from Australia. So it's down under. And then the second most important thing I learned about today was we were in a session talking about sociocracy, and about how to make experiments better with experiments, which sounded a little weird at first, but it was really all about going through like a mini A3 process. For those of you listening, that's something that was done to Toyota. It's a structured problem solving method, but instead of going [inaudible 00:17:02] around it and going through the experiment, going around two or three times and then deciding that's the right experiment you're going forward.

Tenille:

Thank you. How about your time?

Kai:

I've been at the booth most of the time, but from that you meet a lot of people all over the world. And we really have like one thing in common, which is wanting to help people. And it's really been nice to be in a room of people if they're at the beginning of their journey or their really seasoned, that their motivation is just to really empower others. So it's been really nice to be around that kind of energy.

Avi:

We've really learned that our friends from Australia are just as friendly up here as you are on the other side. I feel when you come on this side, you get mean, but it turns out you're just as nice up here too.

Tenille:

Well, it depends how long you've been on flight.

Avi:

Oh, exactly.

Tenille:

[inaudible 00:17:44], we're okay.

Kai:

Yeah.

Avi:Abukar:

Exactly. Good.

Tenille:

All right. One more question here.

Avi:

Sure.

Tenille:

What do you think is the secret ingredient for a successful team?

Avi:

What do I think the secret? Oh, that's a really good question. That's a-

Kai:

He's the best one to answer that question.

Avi:

That's a little longer than a two-second podcast, but I'll tell you this. It may not be psychological safety,-

Tenille:

Okay.

Avi:

... just because Google said that and Project Aristotle show that. I think to have a really, really successful team, you need a really skilled scrum master. Because to say that the team has psychological safety is one ingredient, it's not the only ingredient. A strong scrum master is someone who's really skilled to create that psychological safety, but also help with all the other aspects of getting ready to collaborate and coordinate in the most positive way possible. Plus, searching for... Her name is Cassandra. On Slack, she calls herself Kaizen. You get it? It's a joke. But that's the whole thing is that a really skilled scrum master helps the teams find the kaizens that they need to really get to become high performing. So psychological safety is an enabler of it, but that doesn't mean it creates the performance. It's an ingredient to make it happen.

Tenille:

Fantastic.

Kai:

There's no better answer than that one. Let's do exclamation.

Tenille:

Excellent. Thanks very much for taking the time.

Avi:

Thank you so much.

Kai:

Of course.

Hayley:

We're here with Carey from Path to Agility. Carey, what have you been really loving about this conference?

Carey:

I think I've loved the most about this conference so far is the interaction with all the people that are here. It's really nice to get together, meet different folks, network around, have the opportunity to see what else is out there in the marketplace. And then, of course, talk about the product that we have with Path to Agility. It's a wonderful experience to get out here and to see everybody. And it's so nice to be back out in person instead of being in front of a screen all the time.

Tenille:

Yeah, absolutely. Have you had a chance to get to many of the sessions?

Joseph:

I've tried to as much as I can, but it's also important to take that time to decompress and let everything sink in. So here we are having fun.

Tenille:

Yeah, absolutely. So thinking back to work, what do you think is the one Agile ceremony that you take that helps you and your team the most?

Joseph:

I think that finding different ways to collaborate, effective ways to collaborate. And in terms of work management, how are we solving some of the problems that we have? There's so many tools that are here to make that easier, which is made pretty special. Speaking to people and finding out how they go about solving problems.

Tenille:

And what do you think makes a really great Agile team?

Joseph:

Well, you could say something very cliche, like being very adaptive and change and so on and so forth. But I think it really comes down to the interaction between people. Understanding one another, encouraging one another, and just the way you work together.

Tenille:

Fantastic. Great. Well, thanks very much for taking the time to chat.

Joseph:

Thank you. It was nice chatting with you guys all week long.

Tenille:

Cheers.

Tenille:

Dan, thanks for taking the time to chat.

Dan:

You're welcome.

Tenille:

[inaudible 00:22:54] questions. What do you think is the best thing you learned today?

Dan:

Oh, the best thing I learned today, the morning products keynote was excellent. Got a couple tips on how to do product management, different strategies, how you have folks about seeing their focus on the tactical and the strategic. So just some nice little nuggets, how to [inaudible 00:23:12].

Tenille:

[inaudible 00:23:13], thanks for joining us today. Can I start by asking, what do you think is the best thing you've learned this week?

Speaker 17:

The best thing I've learned this week is there's no right way to do Agile. There's a lot of different ways you can do it. And so it's really about figuring out what the right process is for the organization you're in, and then leveraging those success patterns.

Tenille:

Well, I guess on that, is there one kind of Agile ceremony that you think your team can't do without?

Speaker 17:

The daily standup being daily. I think a lot of our teams, they talk all day long. They don't necessarily need to sync up that frequently. I've had a few teams already, they go down like three days a week and it seems to work for them. The other maybe key takeaway that I've seen folks do is time boxes. So no meetings from 10:00 to 2:00 or whatever it may be, and really driving that from a successful perspective.

Tenille:

I guess on that note, what do you think makes a really successful Agile team?

Speaker 17:

The ability to talk to each other, that ability to communicate. And so with all of our teams being either hybrid or remote, making sure that we have the tools that let them feel like they can just pick up and talk to somebody anytime they want, I think is key. And a lot of folks still don't have cameras, right, which is baffling to me. But that ability to see facial expressions, being face to face has been so nice because we're able to get that. So that's the other key is just that ability to talk to each other as though I could reach out and touch you.

Tenille:

Okay. Fantastic. Well, thanks so much.

Speaker 17:

You're welcome. Thank you.

Tenille:

Okay. Rob and Andrew, thanks so much for taking a few minutes with us. Can I start by asking you, what do you think is the best thing you learned this week?

Rob:

For me, it's definitely fast scaling Agile, we learned about this morning. We're going to try it.

Andrew:

For me, I really enjoyed the math programming session and learning kind of different ways to connect engineers and collaborate.

Tenille:

Great. Next up, I guess, what do you think makes a great Agile team?

Rob:

First and foremost, that they're in control of how they work and what they work on, more than anything else.

Andrew:

Yeah. For me, it's a obviously psychological safety and just having a good team dynamic where they can disagree, but still be respectful and come up with great ideas.

Tenille:

And is there one Agile ceremony that you think a great team can't live without?

Rob:

Probably retrospective. I think the teams need to always be improving, and that's a good way to do it.

Andrew:

Agreed. Yeah. Agreed.

Tenille:

Okay. That's great. Thanks so much for taking the time.

Andrew:

Thank so much. Appreciate it.

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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