Easy Agile Podcast Ep.10 Kate Brodie, Director of Digital AI and CCAI Program at Optus

TL;DR

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

Introduction

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

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

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

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

About Our Guest

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

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

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

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

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

Transcript

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

Maintaining Team Morale and Motivation in the AI Era

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

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

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

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

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

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

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

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

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

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

Creating a Culture of Safe Experimentation

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

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

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

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

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

The Right Mindset for Working with AI

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

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

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

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

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

Maintaining Code Quality and Shared Understanding

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

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

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

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

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

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

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

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

Addressing the Code Review Bottleneck

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

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

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

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

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

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

Ethical Considerations: Balancing Innovation with Responsibility

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

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

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

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

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

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

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

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

Parallels Between Agile and AI Transformations

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

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

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

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

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

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

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

AI for Product Owners: From Ideation to Pull Requests

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

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

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

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

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

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

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

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

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

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

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

Closing the Gap Between Makers and Users

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

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

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

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

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

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

Looking Ahead: The Future of Agile Teams

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

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

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

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

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

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

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

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

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

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

Final Thoughts: Preparing for the Future

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

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

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

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

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

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

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

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

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

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

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

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

"Really enjoyed my conversation with William and Riz, I'm looking forward to implementing their recommendations with our team" - Angad Sethi

In this epsiode I spoke with William Rojas and Rizwan Hasan from Adaptavist about the ways we can enable high performing agile teams:

• The significance of team alignment
• When and where you should be using tools to assist with your team objectives
• Prioritizing what conversations you need to be apart of
• Advice for remote teams

Subscribe/Listen on your favorite podcasting app.

Thanks William & Rizwan!

Transcript

Angad Sethi:

Good afternoon/evening/morning everyone. How you guys going?

Rizwan Hasan:

Oh, good. Thanks Angad.

William Rojas:

Yeah. How are you?

Angad Sethi:

Yeah, really good. Really, really stoked to be having a chat with you guys. Should we start by introducing ourselves? Riz, would you like to take it?

Rizwan Hasan:

Sure. My name's Riz Hasan, I'm based in Brussels, Belgium. Very newly based here, actually used to be based in New York, not too far from William. We usually used to work together on the same team. My role here at Adaptavist is I'm a team lead for our consulting group in EMEA. So in the European region and in the UK. So day to day for me is a lot of internal management, but also working with customers and my consultants on how our customers are scaling agile and helping them with tool problems, process problems, people problems, all the above.

Angad Sethi:

Yeah. Yeah. Sounds awesome.

William Rojas:

As for myself, William Rojas. I'm actually based out of a little suburban town called Trumble in Connecticut, which is about an hour plus northeast of New York, basically. And as Rez mentioned, yeah, we've worked for a number of years we've worked together, we were running a agile transformation and scaling adoption team for Adaptavist. My new role now is actually I took on a presales principle, basically a presale principle consultant these days. It's actually a new role within Adaptavist, and what we do is we have, actually all of us, I think most of us are all like ex-consultants that support the pre-sales process, and work in between the sales team, and the delivery team, and all the other teams that support our clients at Adaptavist.

Angad Sethi:

Awesome, awesome.

William Rojas:

I help find to solutions for clients and make the proposals and support them through, get them on through delivery.

Angad Sethi:

I'm Angad, I'm a software developer and I'm working on Easy Agile programs and Easy Agile roadmaps, two of the products we offer for the Atlassian marketplace. We're super excited to speak to you guys about how your teams are operating in, like what's a day to day. Riz, would you like to answer that?

Rizwan Hasan:

Sure. Yeah. So apart from like the internal management stuff, I think what's particular to this conversation is how we walk clients through how to navigate planning at scale, right?

Angad Sethi:

Yeah.

Rizwan Hasan:

I'm working with a client right now who's based in the states, but they're acquiring other software companies left and right. Which I think is also a trend that's happening within this SaaS ecosystem. And when that happens, they're trying to bring all that work in together. So we're talking through ways of how to visualize all that in an easy way that isn't really too much upfront heavy with identifying requirements or understanding what systems we want to pull in, but more so what do you want to pull in? So really right now, in this phase of the data that I'm working with this client, it's really just those initial conversations about what are you planning? What are you doing? What's important to you? So it's a lot of these conversations about that.

Angad Sethi:

And so you mentioned it's a lot of internal management. Are some of your clients fellow workmates, or are they external clients?

Rizwan Hasan:

They're mostly internal because I manage a team, so I have different people who are working on different types of projects where they might be doing cloud migrations. They might be doing some scripting work. In terms of services, we cover everything within the Atlassian ecosystem, whether it be business related, process related, tool related. So it's a big mix of stuff at all times.

Angad Sethi:

Cool. And is it usually like you're speaking to all the team leads, and giving them advice on agile ceremonies, and pushing work through pipelines and stuff?

Rizwan Hasan:

Yeah, actually, so a story of when I first moved to Brussels, because we've... So professional services started at Adaptavist in the UK, and this was maybe like seven-eight years ago, and it's expanded and myself and William were part of like the first group of consultants who were in North America. That expanded really quickly, and now that we're in EMEA, it's almost like a different entity. It's a different way of working, and a lot of leadership has moved over to North America, so there's new systems and processes and ceremonies and then all that's happening. But because of time zones there's a conflict.

So what I started to do when we got here was to reintroduce some of those habits and consistent conversations to have, to really be much more on a better planning cadence. So interacting with people who would be, say, bringing work to delivery in presale. So folks who are, who work similar to William's capacity over here in this region, and then also project managers who would be responsible for managing that work. Right? So on the equivalent of like a scrum master on an engagement or like an RTE on a big engagement. Right?

Angad Sethi:

Yep. Yep. That's awesome. Just one thing I really liked was your terminology. You used conversations over ceremonies or speaks about the agile mindset in that sense, where you're not just pushing ceremonies on teams, where you actually embody being agile. Well, I'm assuming you are from your conversation, but I guess we'll unpack that. What about you, William? What's your [crosstalk 00:06:32]

William Rojas:

I was going to say, one of the things that's interesting challenge that we face, because Adaptavist has an entire branch that does product development and there are product developers, and product managers, and product marketing, and all sorts of things like that. And they set plans and they focus, deliver and so forth, as you would expect a normal product organization to do. On the consulting side, one of the things that's very interesting is that a lot of our, like we have to answer to two bosses, right? Like our clients come in and say, "Hey, we need this," and we have to support them. In the meantime, we have a lot of internal projects, internal procedures and processes and things that we want do as a company, as a practice, but at the same time, we still need to answer to our clients.

Angad Sethi:

I see.

William Rojas:

So that's actually one of the interesting challenges that from an agile perspective, we're constantly facing having to balance out between sometimes conflicting priorities. And that is definitely something that, and although consulting teams at different levels face this challenge. Right?

Angad Sethi:

Yeah.

William Rojas:

So as Riz mentioned, we're constantly bringing in more work and like, "Okay, we need you to now adjust and re-plan to do something different, then manage." Yes. It's an ongoing problem that's just part of this part of this world kind of thing.

Angad Sethi:

Yeah. Okay. I see. And so if I heard that correctly, so it's, I guess you're constantly recommending agile processes, but you may not necessarily get to practice it?

William Rojas:

But more so we're both practicing for ourselves as well as trying to tell our clients to practice it or trying to adjust.

Angad Sethi:

I see, yeah.

William Rojas:

You know, a client comes in with needs and says, "Okay, now we have to re-plan or teach them how to do it, or re-accommodate their new emerging priorities as well." So we ultimately end up having to practice agile with and for our clients, as well as for ourselves. It's that constant rebalancing of having to weave in client needs into internal needs, and then the constant re-priority that may come as a result of that.

Angad Sethi:

Yeah.

William Rojas:

And then we're constantly looking for like, how do we make this thing more efficient, more effective? How do we really be lean about how we do the work and so forth? That is definitely one thing that we practice. We try to practice that on a daily basis.

Angad Sethi:

Yeah. And I guess that's a very, a tricky space to be... not a tricky space. It can be tricky, I guess, but adding to the trickiness is remote work. Do you guys have a lot of clients who have transitioned to remote work? And I don't know, has it, has it bought to light problems, which can be a good thing, or like what's your experience been?

William Rojas:

So that's interesting because so I've been doing consulting for over a couple decades, and traditionally, so I've done a lot of that, that travel warrior, every week you go travel to the client to do your work, you travel back and you do that again next week, and you do that month after month. In coming to Adaptavist, Adaptavist has historically always been a remote consulting company. So five years ago it was like, wow, we would go to clients saying like, "Okay, we need you to do this." And we're like, "Yeah, we can deliver that. And no, we don't need to, you know. We may come in and do a onsite visit to introduce ourselves, but we can deliver all this work remotely." So we've always had that history.

Angad Sethi:

Okay.

William Rojas:

But nonetheless, when COVID hit and everybody went remote, we definitely experienced a whole new set of companies were now suddenly having to work remotely, and having to establish new processes and practices that basically forced them to be remote. And I think we've had the fortune of in a sense, having always been-

Angad Sethi:

Yep, remote start.

William Rojas:

... S8's.

Angad Sethi:

Yeah.

William Rojas:

I know whenever we bring on people into the company, into consulting particular, that's one of the things we always point out. Remote work is not the same as being in the office. It has its ups and downs. But we've always had that benefit. I think we've been able to assist some of our clients, like, This is how this is how it's done, this is how we do it." So we've been able to teach by example type of thing for some of the clients.

Angad Sethi:

There you go.

William Rojas:

Yeah.

Angad Sethi:

Awesome. That was actually going to be my next question is what's the working structure at Adaptavist and what sort of processes? I'm sure that it's a big company and therefore there'd be tools and processes particular to teams in themselves. Just from your experiences, what are some of the processes or tools you guys are using?

Rizwan Hasan:

So, in terms of planning and work management, because we started off as a remote first company, and since COVID, business is good. I'll be frank there, it's been good for us because we specialize in this market. We've had a huge hiring spurt in all these different areas, and one thing that I noticed internally, as well as problems that... I wouldn't say problems, but a trend that we're seeing with a lot of other clients is that because of this remote push, and the need for an enterprise to be able to give the teams the tools they need to do their work, there's a lot more flexibility in what they can use, which has pros and cons.

On the pro side, there's flexibility, the teams can work the way they want. On the con side, administration might be difficult, alignment might be difficult. So we're seeing a lot of that with customers and ours. So we're almost going on this journey with customers as we're scaling ourselves, and learning how to navigate this new reality of working in a hybrid environment.

William Rojas:

I think in terms of some of the tooling and so forth that we get to do. So we obviously internally we have, we're pretty, pretty much in Atlassian. Atlassian stack, that is very much how we work every day. All our work is using Atlassian tools. All our work is tracked, all our client work is tracked in JIRA, all our sales work, basically everything we do, we use JIRA and Confluence, we're really big on Confluence. We have a lot of customizations we've done to our instance over the years, things that we just have developed, and so that's internal.

I think the other aspect is often, depending on the client that comes to us and the type of work that we're doing for that client, then the types of tools that we use can pretty much run the full gamut. We have a lot of Atlassians, we do a lot of work in JIRA with our clients, like work in Confluence. Sometimes we're working on helping them scale, so we bring on some of the add-on to support some of the scaling practices within to support JIRA. We'll do a lot of JSM work. We do often DevOps work, and then we'll bring on a lot of the DevOps tool sets that you would expect to find, so things to support delivery pipelines.

So it really depends quite a bit on the client. We even do some agile transformation work. And then there, we do some a lot of custom build things, practices and so forth. And we bring in surveys and tools that we've been able to develop over the years to support that particularly. So a lot of the tools often are dictated by what the client and the specific engagement call for.

Angad Sethi:

In my personal experience recently with COVID, I find myself in a lot of meetings, we are experimenting with, with Async decision making. Have you experimented with Async decision making processes yet?

Rizwan Hasan:

I'll start by saying I hate meetings. I think most meetings are a waste of time, and I tell my team this. And I'm like, "If we don't need to meet, like we're not going to meet."

Angad Sethi:

Yeah. Awesome.

Rizwan Hasan:

And I think that really comes. Yeah, awesome, for sure. Awesome.

Angad Sethi:

I love it.

Rizwan Hasan:

But it comes down to really is when you do meet, are you having the right conversation? And I think a key component being like an agile team, quote-unquote, is you have an understanding of what we all are doing collectively and what the priorities are. Which is tough to actually get. So when we talk about like asynchronous decision making, with a team that has some degree of understanding of what priorities are, what goals are, it gets easier. And you can have more low impact interactions with people.

So we use Slack a lot and we have a lot of internal bots on our Slack to be able to present information and collect feedback at asynchronous times, because there's voting features, there's places where you can comment. And I think when we talk about teams that are growing across the globe and also time zones and flexible working, that's a real thing now. There's a practical way of how to do that, that we're starting to dig into what does that look like?

Angad Sethi:

Do you find yourself in a million Slack groups?

Rizwan Hasan:

Yep.

Angad Sethi:

Yep. You do. Do you see any extra hurdles you've got to skip because of that? Because you maybe, do you find yourself hopping from conversation to conversation, whereas it would just be easier if everyone was in the same conversation? Does that happen a bit?

Rizwan Hasan:

Yeah. Yeah. All the time.

Angad Sethi:

I hear you, yeah, there you go. Okay. Cool.

William Rojas:

But I would say we have a lot of impromptu. I think we do have a lot of impromptu meetings. And sometimes we may be in a Slack typing away. It says, you know what? [crosstalk 00:17:29]

Angad Sethi:

Just jump in a huddle.

William Rojas:

Into Zoom and then let's chat or Slack conversation, and then just face to face conversation, and then just address it then and there. But I think we have been looking at, it's almost like I think a balance between the time spent on the meeting, and the amount of people that need to be in the meeting, and the benefit and value that comes out of that meeting. And a daily meeting where work was people would pick up work or support from a sales perspective. And it was very, very much necessary as per part of the work coming into the consulting pipeline. But it felt very inefficient.

So that's one of the means, for example, we did away with, and it's now a completely asynchronous process, by which work comes in and it gets allocated, people pick it up, people support it, we deliver things, we track where things are and so forth. And we now use all of that is basically all done through Slack. So we did away with all the meetings around, "Hey, who can help with this?" But meantime, we have another meeting where we're trying to get people on projects. And that is very much a, we need to negotiate on that often. So that's a meeting that's still very much done.

Angad Sethi:

Yep.

William Rojas:

Everybody comes in, we all talk, we decide what we need to get done. People balance back and forth. So that trade off I think is really important to really understand what, there are meetings that are necessary, very valuable, and they should remain. And there's ones that really a Slack is a much better mechanism to be able to make those kind of decisions

Angad Sethi:

Yeah. Very true. Yeah. And does it well, sorry, firstly, pardon the location change. I'm sitting right next to the router now, so hopefully the iPhone holds. What sort of a scale are we speaking about here in your Slack? The reason I ask is with larger organizations, it can be harder to scale. Therefore I'm just trying to get a gauge of what scale your Slack is at.

Rizwan Hasan:

So we just hit, we are just over the 500 mark, that'd be in terms of employees. With basically our general, which seems to be, I think, I don't want to say universal, but the standard across any organization that has Slack general as the best indicator of how many people you have logged on. So we're just about the 500 mark, which I would say is probably around mid-size, but it's definitely getting to the point where we're starting to see, it's almost a little bit too much in order to disseminate information, find their information, etc.

We're actually partners with Slack also. So we work with them pretty closely on some opportunities. [crosstalk 00:20:39] Yeah, exactly. And we're starting to talk with customers also about the same problem, about how much is too much, and when do you start to form communities around people that are delivering the same type of value. So those conversations are more aligned and there's not just a whole lot of chatter and people get confused, like when they read Slack and like, "Oh, is this the priority now? Or am I supposed to be doing this or change in process?" That communication is harder now, I think, really. And this is where a lot of folks, I think, who are moving to this remote environment are struggling with, is that alignment communication.

Angad Sethi:

Yeah. Very true.

William Rojas:

And it is, I would say fairly organic, like our channel proliferation. We do have, I would think even for company of our size, we're pretty loose about how channels get proliferated, who gets to create them, what they're for and so forth. But then it gives the flexibility of based upon your interests or the context of what you need to communicate on, then you can either join a channel that supports it or create a channel if necessary to support it. So it is, in that sense, pretty organic. But it is true that there are hundreds, if not thousands of Slack channels that we have, and so kind of staying like which one should you be on, is definitely one of our biggest challenges.

Angad Sethi:

Yeah. Well, that just blows my mind just because like 500 people on a Slack. Our whole company is 35 people and I'm pulling my hair out being in too many Slacks. So well A, that blows my mind.

William Rojas:

It does allow us, for example, to have client specific Slack channels. So anybody, if you need to talk about, if you're working on a particular account, you're working for a client, then there's a channel for that. And if you're working on another client, there's another channel. The thing I find helpful about it is that it gives you that context of if I want to communicate with so and so, if I communicate with Riz on a particular account, I will go to the account channel. If I want to talk to Riz one-on-one, I go to a one-on-one chat.

Angad Sethi:

I see, yep, the flexibility.

William Rojas:

So we do have that benefit of where to put the information. But it does mean that I have probably over a hundred channels in my roster of things that I follow, and I'm always behind.

Angad Sethi:

Yeah.

William Rojas:

Well, yeah. So the next level of it is, then you begin to prioritize which channels should I really be notified about, and which ones are most important. I want to track those. And I try to keep that list to a minimum in terms of unread messages, and the stuff that I try to get to, and I'm bored and I have nothing else to do so, but yeah.

Rizwan Hasan:

I've been leaving a lot of channels too. I've been just really cutting the cord with some channels. You know, I had some motivation to really help out here, but I just can't and it's just too much noise. And just got to cut the cord and be like, if it's empty, there's no conversation happening or if it's slow, then move on.

Angad Sethi:

Yep.

William Rojas:

We also have the ability to, you can get added back in. So sometimes you leave and then somebody will put you back in, like, "I need you to talk about this." But it is pretty organic. I know we do leave it up to the individual to decide how best to manage that.

Rizwan Hasan:

Yeah.

Angad Sethi:

That's awesome.

Rizwan Hasan:

We had a instance today, actually, where there was an old, it was basically a sales opportunity, a customer who had reached out to us for a certain ask, and we hadn't heard from them for months, like eight-nine months. And someone posted, someone who I'm pretty close with on our sales team posted, "Hey, this is kicking back up again, but I don't have the capacity." And I just left immediately as I saw that message. I was like, "I can't help out. Sorry."

Angad Sethi:

Yeah. The old so-and-so has left the group is a bit of a stab in the heart, but yeah.

Rizwan Hasan:

Yeah.

Angad Sethi:

We will get over it. Just coming back to a point you mentioned, Riz, you said you used the words, alignment and communication. Both of you when consulting with clients, are those the two main themes you guys like to base your recommendations around?

Rizwan Hasan:

I'll give you a very consulting answer and say it depends.

Angad Sethi:

Yeah.

Rizwan Hasan:

But when we engage with a customer, one of the toughest parts of our job is understanding if there is even alignment in the group of people that we're talking to as well, because at the scale of projects that sometimes we work with, we have like 20 to 25 people on a call. And of all of those people, they may have different motivations or objectives of what they're wanting with their engagement with us. So I would say, that's primarily what's driving what we're trying to find out, what we're trying to do with them is get some alignment between the group and ourselves, and communicating that is not always easy.

Angad Sethi:

Yeah.

William Rojas:

Let's say, adding on what Riz, that also depends quite a bit on the specific engagement with that client. So in particular, if the engagement, because if an engagement is like, "Get me onto the cloud." Okay. You know, come in. Often there's much better alignment for something like that. If the engagements are more about, "Hey, help us scale agile, help us get better at how we deliver." Then the need for alignment, the need to make sure that we're all communicating correctly, we all understand, we all come to the meeting with the same objectives and so forth, is so much more critical.

Angad Sethi:

Yeah.

William Rojas:

So in those kind of engagements, we're constantly realigning. Because it's not even like we had the alignment. It's like yeah. Okay. We have it, next week it's gone. We got to go back and get it again. So that keeping, making sure that everybody's marching towards the same set of objectives, defining what those objectives are, letting them evolve as appropriate and so forth, all that becomes so much more critical.

Angad Sethi:

Yeah.

William Rojas:

And that's where the tools, that's where things like JIRA and then again, like how do we scale? How do we show what everybody's doing? And so forth, that's where it becomes that much more important. And in those kind of engagements, the tooling becomes essential. Not that the tooling's going to answer it, but the tooling becomes a way by which it helps us communicate, yeah. This is what we all agree we're going to do. Okay. The tool says so because that's the decision we've made.

Angad Sethi:

Yeah.

Rizwan Hasan:

It's really interesting that you say cloud migration, William, like when you say, "Okay, I'm moving to cloud, we know what the alignment is," but even then, I'm finding is that, especially within the Atlassian ecosystem, because that's what we're exposed to all the time, but when we're moving data from a completely old infrastructure to something brand new, it's not going to be the same. And you have folks who are thinking that, "Oh, we're just going to be taking all this stuff from here and putting it over there." But what usually doesn't come along with it is that you're going to have to also change the way you work slightly. There's going to be changes that you're not accounting for.

And that's where the alignment conversation really is important because we work with small companies who understand, okay, moving to the cloud will be completely different. We also work with legacy organizations like financial institutions that have a lot of red tape, and process, and security concerns, and getting that alignment and understanding with them first of what this means to move to a completely different way of working, is also part of that conversation. So it's a constant push and pull with that.

Angad Sethi:

Yeah, yeah. It's really heartwarming to hear the two of you deal with the JCMA, which is the geo cloud migration system.

Rizwan Hasan:

Quite a bit, yeah.

Angad Sethi:

That's awesome, because yeah, that's something we are working on currently as well. So I'll end with a super hard question and I'll challenge you guys to not use the word depends in there. And the question is the number one piece of advice for remote teams practicing agile. Start with you, Riz.

Rizwan Hasan:

Get to know each other.

Angad Sethi:

Yeah, okay.

Rizwan Hasan:

Keep it personal. I think one of the hardest things about this new reality is making that connection with someone, and when you have that, that builds trust, and when you have trust, everything's a lot easier. So I'd say that. People really aren't... The enemy. That's not the right word, but work shouldn't be a conflict. It should be more of like a negotiation, and if you trust each other, it's a lot easier to do that.

Angad Sethi:

Yeah.

Rizwan Hasan:

So yeah.

Angad Sethi:

That's awesome.

William Rojas:

It really is.

Angad Sethi:

I'm going to definitely take that back with me.

William Rojas:

Yeah. And just if I could quickly add to that. That's like looking for ways how to replace the standing around by the, having a cup of coffee. How do you replace that in a remote setting?

Rizwan Hasan:

Yeah.

Angad Sethi:

Yeah.

William Rojas:

How do you still have that personal interaction that maybe there's an electronic medium in between, but there's still sort of that personal setting. I think that's one of the things you're looking for. Because yeah, it is very much about trust. And I think to that, I would also add, back to the alignment. Right? Because in some ways that strong interaction helps build and maintain the alignment, because often it's not so much that you get alignment is that you stay aligned.

So it is this constant, and having those interactions, having that trust and so forth, is what in a sense allows us to stay aligned. Because we know each other, we know how to help each other, we support each other, so we stay in alignment. So the trust and so forth are a good way to help build and maintain the alignment itself that you're looking for. That's absolutely. In remote world, you don't have the benefit of seeing each other, the whiteboard, all those things are not the same.

Angad Sethi:

Very true. Getting cup a coffee, yep.

William Rojas:

But we still need to stay in sync with what needs to get done. That's so important.

Angad Sethi:

Very true. And so would you guys want to drop any names of tools you're using to facilitate that trust between team members in a remote setting?

William Rojas:

So I would say, like I mentioned from my role, one of the things that we do is in the presales area, we support some of our larger accounts, almost as more of like a solution account manager, per se. So we come in and help make sure that the client is getting the solution that is meant to be delivered. So we work with the delivery teams, we work with the client, we sit in between.

There's one large client that we've been working on for years now, and we basically, to the point that they're moving towards some flavor of safe. That I wouldn't call it fully safe, but they do have a lot of safe practices, but they do PI planning, and so we come in and join the PI planning. That's actually one of the, like I said, how do you stay alive?

Angad Sethi:

That circle. Yeah. [crosstalk 00:33:15]

William Rojas:

You pull up your program definition, you look at what features you want to deliver in the PI, who's going to deliver that feature in the PI, and then in your readout, go back to the tool and say, "Look, this is what we've agreed to." Others can ask questions and so forth, and constantly going back to... For example, just last week, we're doing now sprint planning and saying, "Actually, okay, this feature's going to drag on another sprint. Let me go back and readjust in," this client is using the Easy Agile programs. The original plan of saying this features not going to be, not two sprints, but the three sprints instead, for example.

So that habit of getting into using the tool to communicate what we decided and what we just had to make changes to. So it becomes this, a communication vehicle, it's really important. Yeah, they use programs, they use the roadmap piece of programs to help them do their PI planning, and stay in sync with what it is that ultimately gets communicated out at the end of PI. And then during the sprints of the PI itself, and it's very helpful for them. Again, there's I think they have seven trainings, and they all use that to help stay in sync, stay aligned.

Angad Sethi:

Awesome. Awesome.

William Rojas:

One other quick thing I'll say is, I think there will be, some of where we've gone will now become status quo, become permanent. So I think that this has been as shift across the market, across the industry, across company, how people work. So the idea of remote work, the idea of using tooling to really establish communication, and help facilitate communication, all that, while it's been around, I think the big difference is now everybody, like you have no choice. Everybody has to do it.

Angad Sethi:

Has to. Yeah.

William Rojas:

And I think we've definitely seen a big shift across the entire industry because of that. That will now solidify and let's see what the next level brings. But I definitely think that we've reached a new stage of maturity and so forth pretty much globally, which is pretty cool.

Angad Sethi:

Yeah.

Rizwan Hasan:

Yeah.

Angad Sethi:

Yeah, it is. Thank you guys. I won't keep you too long. I think, has the sun set there, Riz? I can see the reflection going dark.

Rizwan Hasan:

Yeah. It is getting there. Yeah, for sure.

Angad Sethi:

Yeah. Yeah. I won't hold you guys for too long.

Rizwan Hasan:

All good.

Angad Sethi:

But thank you so much for the conversation. I honestly, I took a lot away from that. And yeah, I hope I can add you guys to my LinkedIn. I would love to be in touch still.

William Rojas:

Definitely.

Rizwan Hasan:

Yeah, sure.

Angad Sethi:

Yeah. Trying to establish a point of contact, not to add to one of your Slack channels, but yeah. Just so that we can be in conversation regarding the product and improving it.

Rizwan Hasan:

Yeah, sure. And we have a partner management channel. I know we've been talking to Haley a little bit.

Angad Sethi:

Awesome.

Rizwan Hasan:

She was reaching out, that's about some other stuff.

Angad Sethi:

Beautiful.

Rizwan Hasan:

Yeah, happy to. We engage with your product and it's in our white papers too, and we're going to put out another white paper this year where we're going to talk about Easy Agile too. So yeah. We'll stay in touch.

Angad Sethi:

Cool.

William Rojas:

I just gave you, so my LinkedIn is under a different, my LinkedIn is not with my work email. Because that way I can keep the same account place to place.

Angad Sethi:

Sounds good.

William Rojas:

Yeah. You can look me up on LinkedIn with that.

Angad Sethi:

Wicked awesome. Thanks guys.

William Rojas:

Awesome. All right.

Angad Sethi:

Have a good day.