Easy Agile Podcast Ep.4 Em Campbell-Pretty, CEO & Managing Director at Pretty Agile

In this insightful episode, we dive deep into one of the most common frustrations in engineering and dev teams: retrospectives that fail to drive meaningful change. Join Jaclyn Smith, Senior Product Manager at Easy Agile, and Shane Raubenheimer, Agile Technical Consultant at Adaptavist, as they unpack why retrospectives often become checkbox exercises and share practical strategies for transforming them into powerful engines of continuous improvement.

Want to put these insights into practice? We hosted a live, hands-on retro action workshop to show you exactly how to transform your retrospectives with practical tools and techniques you can implement immediately.

Key topics covered:

• Common retrospective anti-patterns and why teams become disengaged
• The critical importance of treating action items as "first-class citizens"
• How to surface recurring themes and environmental issues beyond team control
• Practical strategies for breaking down overwhelming improvement initiatives
• The need for leadership buy-in and organizational support for retrospective outcomes
• Moving from "doing agile" to "being agile" through effective reflection and action

This conversation is packed with insights for making your retrospectives more impactful and driving real organizational change.

About our guests

Jaclyn Smith is a Senior Product Manager at Easy Agile, where she leads the Easy Agile TeamRhythm product that helps teams realize the full benefits of their practices. With over five years of experience as both an in-house and consulting agile coach, Jaclyn has worked across diverse industries helping teams improve their ways of working. At Easy Agile, she focuses on empowering teams to break down work effectively, estimate accurately, and most importantly, take meaningful action to continuously improve their delivery and collaboration.

Shane Raubenheimer is an Agile Technical Consultant at Adaptavist, a global family of companies that combines teamwork, technology, and processes to help businesses excel. Adaptavist specializes in agile consulting, helping organizations deliver customer value through agile health checks, coaching, assessments, and implementing agile at scale. Shane brings extensive experience working across multiple industries—from petrochemical to IT, digital television, and food industries—applying agile philosophy to solve complex organizational challenges. His expertise spans both the technical and cultural aspects of agile transformation.

Transcript

This transcript has been lightly edited for clarity and readability while maintaining the authentic conversation flow.

Opening and introductions

Jaclyn Smith: Hi everyone, and welcome back to the Easy Agile Podcast. Today I'm talking to Shane Raubenheimer, who's with us from Adaptavist. Today we're talking about why your retrospectives keep failing and how to finally fix them. Shane, you and I have spent a fair amount of time together exploring the topic of retros, haven't we? Do you want to tell us a little bit about yourself first?

Shane Raubenheimer: Yeah, hello everyone. I'm Shane Raubenheimer from Adaptavist. I am an agile coach and technical consultant, and along with Jaclyn, we've had loads of conversations around why retros don't work and how they just become tick-box exercises. Hopefully we're going to demystify some of that today.

Jaclyn Smith: Excellent. What's your background, Shane? What kind of companies have you worked with?

Shane Raubenheimer: I've been privileged enough to work across multiple industries—everything from petrochemical to IT, to digital television, food industry. All different types of applied work, but with the agile philosophy.

Jaclyn Smith: Excellent, a big broad range. I should introduce myself as well. My name is Jaclyn. I am a Senior Product Manager here at Easy Agile, and I look after our Team Rhythm product, which helps teams realize the benefits of being agile. I stumbled there because our whole purpose at Easy Agile is to enable our customers to realize the benefits of being agile.

My product focuses on team and teamwork, and teamwork happens at every level as we know. So helping our customers break down work and estimate work, reflect—which is what we're talking about today—and most importantly, take action to improve their ways of working. I am an agile coach by trade as well as a product manager, and spent about five years in a heap of different industries, both as a consultant like you Shane, and as an in-house coach as well.

The core problem: When retrospectives become checkbox exercises

Jaclyn Smith: All right, let's jump in. My first question for you Shane—I hear a lot that teams get a bit bored with retros, or they face recurring issues in their retrospectives. Is that your experience? Tell me about what you've seen.

Shane Raubenheimer: Absolutely. I think often what should be a positive rollup and action of a sequence of work turns out to normally become a checkbox exercise. There's a lot of latency in the things that get uncovered and discussed, and they just tend to perpetually roll over. It almost becomes a checkbox exercise from what I've seen, rather than the mechanism to actively change what is happening within the team—but more importantly, from influences outside the team.

I think that's where retros fail, because often the team does not have the capability to do any kind of upward or downstream problem solving. They tend to just mull about different ways to ease the issues within the team by pivoting the issues rather than solving them.

I think that's where retros fail, because often the team does not have the capability to do any kind of upward or downstream problem solving. They tend to just mull about different ways to ease the issues within the team by pivoting the issues rather than solving them.

Jaclyn Smith: Yeah, I would agree. Something that I see regularly too is because they become that checkbox, teams get really bored of them. They do them because they're part of their sprint, part of their work, but they're not engaged in them anymore. It's just this thing that they have to do.

It also can promote a tendency to just look at what's recently happened and within their sphere of influence to solve. Whereas I think a lot of the issues that sometimes pop up are things that leadership need to help teams resolve, or they need help to solve. It can end up with them really focusing on "Oh well, there's this one bit in how we do our code reviews, we've got control over that, we'll try to fix that." Or as you say, the same recurring issues come up and they don't seem to get fixed—they're just the same complaints every time.

Shane Raubenheimer: Absolutely. You find ways that you put a band-aid on them just so you can get through to the next phase. I think the problem with that is the impact that broader issues have on teams is never completely solvable within that space, and it's no one else's mandate necessarily to do it. When an issue is relatable to a team, exposing why it's not a team-specific issue and it's more environmental or potentially process-driven—that's the bit that I feel keeps getting missed.

When an issue is relatable to a team, exposing why it's not a team-specific issue and it's more environmental or potentially process-driven—that's the bit that I feel keeps getting missed.

The pressure problem and overwhelming solutions

Jaclyn Smith: Yeah, I think so too. The other thing you just sparked for me—the recurring issue—I think that also happens when the team are under pressure and they don't feel like they have the time to solve the problems. They just need to get into the next sprint, they need to get the next bit of work done. Or maybe that thing that they need to solve is actually a larger thing—it's not something small that they can just change.

They need to rethink things like testing strategies. If that's not working for you, and it's not just about fixing a few flaky tests, but you need to re-look at how you're approaching testing—it seems overwhelming and a bit too big.

Shane Raubenheimer: Absolutely. Often environmental issues are ignored in favor of what you've been mandated to do. You almost retrofit the thing as best you can because it's an environmental issue. But finding ways to expose that as a broader-based issue—I think that should be the only output, especially if it's environmental and not team-based.

The problem of forgotten action items

Jaclyn Smith: Something I've also seen recently is that teams will come up with great ideas of things that they could do. As I said before, sometimes they're under pressure and they don't feel they have the capacity to make those changes. Sometimes those actions get talked about, everyone thinks it's a wonderful idea, and then they just get forgotten about. Teams end up with this big long backlog of wonderful experiments and things that they could have tried that have just been out of sight, out of mind. Have you seen much of that yourself?

Shane Raubenheimer: Plenty. Yes, and often teams err on the side of what's expected of them rather than innovate or optimize. I think that's really where explaining the retrospective concept to people outside fully-stacked or insular teams is the point here. You need, very much like in change management, somebody outside the constructs of teams to almost champion that directive—the same way as you would do lobbying for money or transformation. It needs to be taken more seriously and incorporated into not just teams being mini-factories supporting a whole.

You transform at a company level, you change-manage at a company level. So you should action retrospective influences in the same way. Naturally you get team-level ones, and that's normally where retrospectives do go well because it's the art of the possible and what you're mandated to do. I think bridging the gap between what we can fix ourselves and who can help us expose it is a big thing.

I see so much great work going to waste because it simply isn't part of the day job, or should be but isn't.

You transform at a company level, you change-manage at a company level. So you should action retrospective influences in the same way.

Making action items first-class citizens

Jaclyn Smith: Yeah, absolutely. I know particularly in the pre-Covid times when we were doing a lot of retros in person, or mostly in person with stickies on walls, I also found even if we took a snapshot of the action column, it would still end up on a Confluence board or something somewhere and get forgotten about. Then the next retro comes around and you sort of feel like you're starting fresh and just looking at the last sprint again. You're like, "Oh yeah, someone raised that last retro, but we still didn't do anything about that."

Shane Raubenheimer: I think Product Owners, Scrum Masters, or any versions of those kinds of roles need to treat environmental change or anti-pattern change as seriously as they treat grooming work—the actual work itself. Because it doesn't matter how good you are if the impediments that are outside of your control are not managed or treated with the same kind of importance as the actual work you're doing. That'll never change, it'll just perpetuate. Sooner or later you hit critical mass. There's no scenario where your predictability or velocity gets better if these things are inherent to an environment you can't control.

Product Owners, Scrum Masters, or any versions of those kinds of roles need to treat environmental change or anti-pattern change as seriously as they treat grooming work—the actual work itself.

Jaclyn Smith: Yeah, that's true. We've talked about action items being first-class citizens and how we help teams do that for that exact reason. Because a retro is helpful to build relationships and empathy amongst the team for what's happening for each of them and feel a sense of community within their team. But the real change comes from these incremental changes that are made—the conversations that spark the important things to do to make those changes to improve how the team works.

That action component is really the critical part, or maybe one of two critical parts of a retro. I feel like sometimes it's the forgotten child of the retro. Everyone focuses a lot on engaging people in getting their ideas out, and there's not as much time spent on the action items and what's going to be done or changed as a result.

Beyond team-level retrospectives

Shane Raubenheimer: Absolutely, consistently. I think it's symptomatic potentially of how retros are perceived. They're perceived as an inward-facing, insular reevaluation of what a team is doing. But I've always thought, in the same way you have the concept of team of teams, or if you're in a scaled environment like PI planning, I feel retrospectives need the same treatment or need to be invited to the VIP section to become part of that.

Because retrospectives—yes, they're insular or introspective—but they need to be exposed at the same kind of level as things like managing your releases or training or QA, and they're not.

Jaclyn Smith: Yeah, I think like a lot of things, they've fallen foul of the sometimes contentious "agile" word. People tend to think, "Oh retros, it's just one of those agile ceremonies or agile things that you do." The purpose of them can get really lost in that, and how useful they can be in creating change. At the end of the day, it's about improving the business outcomes. That's why all of these things are in place—you want to improve how well you work together so that you can get to the outcome quicker.

At the end of the day, it's about improving the business outcomes. That's why all of these things are in place—you want to improve how well you work together so that you can get to the outcome quicker.

Shane Raubenheimer: Absolutely. Outcome being the operative word, not successfully deploying code or...

Jaclyn Smith: Or ticking the retro box, successfully having a retro.

Shane Raubenheimer: Yeah, exactly. Being doing agile instead of being agile, right?

Expanding the scope of retrospectives

Jaclyn Smith: One hundred percent. It also strikes me that there is still a tendency for retros to be only at a team level and only a reflection of the most recent period of time. So particularly if a team are doing Scrum or some version of Scrum with sprints, to look back over just the most recent period. I think sometimes the two things—the intent of a retro but also the prime directive of the retro—gets lost.

In terms of intent, you can run a retro about anything. Think about a post-mortem when you have an incident and everyone gets together to discuss what happened and how we prevent that in the future. I think people forget that you can have a retro and look at your system of work, and even hone in on something like "How are we estimating? Are we doing that well? Do we need to improve how we're doing that?" Take one portion of what you're working on and interrogate it.

You can run a retro about anything. I think people forget that you can have a retro and look at your system of work, and even hone in on something like "How are we estimating? Are we doing that well? Do we need to improve how we're doing that?" Take one portion of what you're working on and interrogate it.

Understanding anti-patterns

Shane Raubenheimer: Absolutely. You just default to "what looks good, what can we change, what did we do, what should we stop or start doing?" That's great and all, but without some kind of trended analysis over a period of time, you might just be resurfacing issues that have been there all along. I think that's where the concept or the lack of understanding of anti-patterns comes in, because you're measuring something that's happened again rather than measuring or quantifying why is it happening at all.

I think that's the big mistake of retros—it's almost like an iterative band-aid.

I think that's the big mistake of retros—it's almost like an iterative band-aid.

Jaclyn Smith: Yeah. Tell me a little bit more about some of the anti-patterns that you have seen or how they come into play.

Shane Raubenheimer: One of them we've just touched on—I think the buzzword for it is the cargo cult culture for agile. That's just cookie-cutting agile, doing agile because you have to instead of being agile. Literally making things like your stand-up or your review or even planning just becomes "okay, well we've got to do this, so we've ticked the box and we're following through."

Not understanding the boundaries of what your method is—whether you like playing "wagile" or whether you're waterfall sometimes, agile at other times, and you mistake that variability as your agility. But instead, you don't actually have an identity. You're course-correcting blindly based on what's proportionate to what kind of fire you've got in your way.

Another big anti-pattern is not understanding the concept of what a team culture means and why it's important to have a team goal or a working agreement for your team. Almost your internal contracting. We do it as employees, right?

I think a lot of other anti-patterns come in where something's exposed within a team process, and because it's not interrogated or cross-referenced across your broader base of teams, it's not even recognized as a symptom. It is just a static issue. For me, that's a real anti-pattern in a lot of ways—lack of directive around what to do with retrospectives externally as well as internally. That's simply not a thing.

A lot of other anti-patterns come in where something's exposed within a team process, and because it's not interrogated or cross-referenced across your broader base of teams, it's not even recognized as a symptom. It is just a static issue. For me, that's a real anti-pattern in a lot of ways—lack of directive around what to do with retrospectives externally as well as internally.

Jaclyn Smith: Yeah, I think that's a good call-out for anyone watching or listening. If you're not familiar with anti-patterns, they're common but ineffective responses to recurring problems. They may seem helpful initially to solve an immediate problem, but they ultimately lead to negative outcomes.

Shane, what you just spoke about there with retrospectives—an example of that is that the team feel disengaged with retrospectives and they're not getting anything useful out of it, or change isn't resulting from the retrospectives. So the solution is to not hold them as frequently, or to stop doing them, or not do them at different levels or at different times. That's a really good example of an anti-pattern. It does appear to fix the problem, but longer term it causes more problems than it solves.

Another one that I see is with breaking down work. The idea that spending time together to understand and gain a shared understanding of the work and the outcome that you need takes a lot of time, and breaking down that work and getting aligned on how that work is going to break down on paper can look like quite an investment. But it's also saving time at the other end, reducing risk, reducing duplication and rework to get a better outcome quicker. You shift the time spent—development contracts because you've spent a little bit more time discovering and understanding what you're doing.

A common anti-pattern that I see there is "we spent way too long looking at this, so we're going to not do discovery in the same way anymore," or "one person's going to look at that and break it down."

The budget analogy

Shane Raubenheimer: I always liken it to your budget. The retrospective is always the nice shiny holiday—it's always the first to go.

I always liken it to your budget. The retrospective is always the nice shiny holiday—it's always the first to go.

Jaclyn Smith: It's the contractor.

Shane Raubenheimer: Yeah. It's almost like exposing stuff that everybody allegedly knows to each other is almost seen as counterintuitive because "we're just talking about stuff we all know." It often gets conflated into "okay, we'll just do that in planning." But the reality is the concept of planning and how you amend what you've done in the retrospective—that's a huge anti-pattern because flattening those structures from a ceremonies perspective is what teams tend to do because of your point of "well, we're running out of daylight for doing actual development."

But it's hitting your head against the wall repeatedly and hoping for a different outcome without actually implying a different outcome. Use a different wall even. I think it's because people are so disillusioned with retrospectives. I firmly believe it's not an internal issue. I believe if the voices are being heard at a budgeting level or at a management level, it will change the whole concept of the retrospective.

Solution 1: Getting leadership buy-in

Jaclyn Smith: I like it, and that's a good thread to move on to. So what do we do about it? How do we help change this? What are some of the practical tips that people can deploy?

Shane Raubenheimer: A big practical tip—and this is going to sound like an obvious one—is actual and sincere buy-in. What I mean by that is, as a shareholder, if I am basing your performance and your effectiveness on the quality and output of the work that you're promising me, then I should be taking the issues that you're having that are repeating more seriously.

Because if you're course-correcting for five, six, or seven sprints and you're still not getting this increasing, predictable velocity, and if it's not your team size or your attitude, it's got to be something else. I often relate that to it being environmental.

Buying into the outputs for change the same way as you would into keeping everyone honest, managing budgets, and chasing deadlines—it should all be part of the same thing. They should all be sitting at the VIP table, and I think that's a big one.

Buying into the outputs for change the same way as you would into keeping everyone honest, managing budgets, and chasing deadlines—it should all be part of the same thing. They should all be sitting at the VIP table.

Solution 2: Making patterns visible

Jaclyn Smith: I think so too. Something that occurs to me, and it goes back to what we were talking about right at the beginning, is sometimes identifying that there's a pattern there and that the same thing keeps coming up isn't actually visible, and that's part of the problem, right?

I know some things we've been doing in Easy Agile TeamRhythm around that recently, attempting to help teams with this. We've recently started surfacing all incomplete action items in retrospectives so people can see that big long list. Because they can convert their action items to Jira items or work items, they can also see where they've just been sitting and languishing in the backlog forever and a day and never been planned for anything to be done about them.

We've recently started surfacing all incomplete action items in retrospectives so people can see that big long list. Because they can convert their action items to Jira items or work items, they can also see where they've just been sitting and languishing in the backlog forever and a day and never been planned for anything to be done about them.

We've added a few features to sort and that kind of thing. Coming in the future—and we've been asked about this a lot—is "what about themes? What about things that are bubbling up?" So that's definitely on our radar that will be helpful.

I think that understanding that something has been raised—a problem getting support from another team, or with a broken tool or an outdated tool that needs to be replaced in the dev tooling or something like that—if that's been popping up time and time again and you don't know about it, then even as the leader of that team, you don't have the ammunition to then say "Look, this is how much it's slowed us down."

I think we live in such a data world now. If those actions are also where the evidence is that this is what needs to change and this is where the barriers are...

Solution 3: The power of trend analysis

Shane Raubenheimer: Certainly. I agree. Touching on the trend analytics approach—we do trend analysis on everything except what isn't happening or what is actually going wrong, because we just track the fallout of said lack of application. We don't actually trend or theme, to your point.

We do trend analysis on everything except what isn't happening or what is actually going wrong, because we just track the fallout of said lack of application.

We theme everything when we plan, yet somehow we don't categorize performance issues as an example. If everybody's having a performance issue, that's the theme. We almost need to categorize or expose themes that are outward-facing, not just inward-facing. Because it's well and good saying "well, our automated testing system doesn't work"—what does that mean? Why doesn't it work?

I think it should inspire external investigation. When you do a master data cleanup, you don't just say "well, most of it looks good, let's just put it all in the new space." You literally interrogate it at its most definitive and lowest level. So why not do the same with theming and trending environmental issues that you could actually investigate, and that could become a new initiative that would be driven by a new team that didn't even know it was a thing?

Jaclyn Smith: Yeah, and you're also gathering data at that point to evidence the problem rather than "oh, it's a pain point that keeps coming up." It is, but it gives you the opportunity to quantify that pain point a little bit as well. I think that is sometimes really hard to do when you're talking about developer experience or team member experience. Even outside of product engineering teams, there are things in the employee experience that affect the ability for that delivery—whatever you're delivering—to run smoothly. You want to make that as slick as possible, and that's how you get the faster outcomes.

Solution 4: The human factor

Shane Raubenheimer: Absolutely. You can never underestimate the human factor as well. If everything I'm doing and every member of my team is doing is to the best of not just their capability, but to the best of the ability in what they have available to them, you become jaded, you become frustrated. Because if you're hitting your head against the same issue regardless of how often you're pivoting, that can be very disillusioning, especially if it's not been taken as seriously as your work output.

If everything I'm doing and every member of my team is doing is to the best of not just their capability, but to the best of the ability in what they have available to them, you become jaded, you become frustrated.

We run a week late for a customer delivery or a customer project, and we start complaining about things like money, budget overspend, over-utilization. But identifying systematic or environmental issues that you can actually quantify should be treated in exactly the same way. I feel very strongly about this.

Solution 5: Breaking down overwhelming action items

Jaclyn Smith: We tend to nerd out about this stuff, Shane, and you're in good company. You've also reminded me—we've put together a bit of a workshop to help teams and people understand how to get the most out of their retrospectives, not just in terms of making them engaging, but fundamentally how to leverage actions to make them meaningful and impactful.

We've spoken a lot about the incremental change that is the critical factor when it is something that's within the team's control or closely to the team's control. That's how you get that expansion of impact—the slow incremental change. We've talked about sometimes those action items seem overwhelming and too big. What's your advice if that's the scenario for a team? What do you see happen and what can they do?

Shane Raubenheimer: I would suggest following the mantra of "if a story is too big, you don't understand enough about it yet, or it's not broken down far enough." Incremental change should be treated in exactly the same way. The "eat the elephant one bite at a time" analogy. If it's insurmountable, identify a portion of it that will make it a degree less insurmountable next time, and so on and so forth.

If we're iterating work delivery, problem-solving should be done in rapid iteration as well. That's my view.

Jaclyn Smith: I like it.

The "eat the elephant one bite at a time" analogy. If it's insurmountable, identify a portion of it that will make it a degree less insurmountable next time, and so on and so forth. If we're iterating work delivery, problem-solving should be done in rapid iteration as well.

Wrapping up: What's next?

Jaclyn Smith: I think we're almost wrapping up in terms of time. What can people expect from us if they join our webinar on July 10th, I believe it is, where we dive and nerd out even more about this topic, Shane?

Shane Raubenheimer: I think the benefit of the webinar is going to be a practical showing of what we're waxing lyrical about. It's easy to speak and evangelize, but I think from the webinar we'll show turning our concepts into actual actions that you can eyeball and see the results of.

With our approach that we took to our workshop, I think people will very quickly get the feeling of "this is dealing with cause and effect in a cause and effect way." So practical—to put that in one sentence, an active showing or demonstration of how to quantify and actually do what we've been waxing lyrical about.

the benefit of the webinar is going to be a practical showing of what we're waxing lyrical about. It's easy to speak and evangelize, but I think from the webinar we'll show turning our concepts into actual actions that you can eyeball and see the results of.

‍Jaclyn Smith: Excellent. That was a lovely summation, Shane. If anyone is interested in joining, we urge you to do so. You can hear us talking more about that but get some practical help as well. There is a link to the registration page in the description below.

I think that's about all we have time for today. But Shane, as always, it's been amazing and lovely to chat to you and hear your thoughts on a pocket of the agile world and helping teams.

Shane Raubenheimer: Yeah, it's always great engaging with you. I always enjoy our times together, and it's been my pleasure. I live for this kind of thing.

Jaclyn Smith: It's wonderful! Excellent. Well, I will see you on the 10th, and hopefully we'll see everyone else as well.

Shane Raubenheimer: Perfect. Yeah, looking forward to it.

Jaclyn Smith: Thanks.

Ready to end the frustration of ineffective retrospectives?

Jaclyn Smith and Shane Raubenheimer also hosted a live, hands-on webinar designed to turn retrospectives into powerful engines for continuous improvement.

In this highly interactive session, they talked about how teams can:

• Uncover why retrospectives get stuck in repetitive cycles
• Clearly capture and assign actionable insights
• Identify and avoid common retrospective pitfalls and anti-patterns
• Get hands-on experience with Easy Agile TeamRhythm to streamline retrospective actions
• Practical tools, techniques, and clear next steps to immediately enhance retrospectives and drive meaningful team improvements.

👉 Watch the recording here.

"I really enjoyed speaking with Melissa Reeve, VP of Marketing at Scaled Agile about how non-software teams are adopting a new way of working."

It's more important than ever to be customer-focused.

We talk about the danger of 'walk-up-work' and how to avoid this through proper sprint planning.

Melissa also gives an update on how agile is spreading to non-technical teams.

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Transcript

Sean Blake:

Hello everyone. And welcome to the Easy Agile Podcast. We have a really interesting guest with us today. It's Melissa Reeve, the Vice President of Marketing at Scaled Agile. We're really excited to have her on today. Melissa Reeve is the Vice President of Marketing at Scaled Agile, Inc. In this role Melissa guides the marketing team, helping people better understand Scaled Agile, the Scaled Agile Framework. In other words, SAFe and its mission. She also serves as the practice lead for integrating SAFe practices into marketing environments. Melissa received her Bachelor of Arts degree from Washington University in St. Louis, and she currently resides in Boulder, Colorado with her husband, chickens, and dogs. Melissa, thanks so much for joining us on the podcast today.

Melissa Reeve:

It's such a pleasure to be here. I really appreciate it.

Sean Blake:

Great. That's great. I really like your enthusiasm straight off the bat. So what I'm really interested in hearing about, Melissa is a little bit about how you got to where you are today. What have been the highlights of your career so far and how as a marketer, did you find yourself in the Agile space?

Melissa Reeve:

Well, thanks for asking. And I have to tell you, but just before the podcast my husband knocked on the door and he was all proud because we just got a new set of chickens and one of the chickens had laid its first egg. So that's been the highlight of my day so far, not necessarily the highlight of my career.

Sean Blake:

So you'll be having scrambled eggs and eggs on toast probably for the next few weeks now.

Melissa Reeve:

I think so. So back to the career, I really fell into marketing. My background was in Japanese literature and language. And I had anticipated this great career and international business in Asia. And then I moved out to the Navajo Indian Reservation and just pivoted. Found my way into marketing and found my way into Agile right around 2013 when I discovered that there was an Agile marketing manifesto. And that really was a changing point in terms of how I thought about marketing. Because up until that point, it really considered marketing in what's termed waterfall. Of course, marketers generally don't use the term waterfall.

Melissa Reeve:

But then I started to think about marketing in a different way. And when I came across Scaled Agile, it brought together so many elements of my career. The lean thinking that I'd studied when I studied in Japan and the lean manufacturing, it was Agile marketing that I'd discovered in 2013 and just education and technology have always been part of my career. So I really consider myself fortunate to have found Scaled Agile and found myself in the midst of scaling Agile into both enterprises, as well as marketing parts of the enterprise.

Sean Blake:

Oh wow, okay. And I noticed from your LinkedIn profile, you worked at some universities and colleges in the past. And I assume some of the teams, the marketing teams you've worked in, in the past have been quite large. What were some of those structures that you used to work in, in those marketing teams? And what were some of the challenges you faced?

Melissa Reeve:

Yes, well, the largest company was Motorola. And that was pretty early on in my career. So I don't think I can recall exactly what that team structure is. But I think in terms of the impediments with marketing, approvals has always been an issue. No matter if you're talking about a smaller organization or a larger organization, it seems like things have to go up the chain, get signed off, and then they come back down for execution. And inherent in that are delays and wait states and basically waste in the system.

Sean Blake:

Right. So, what is Agile marketing then and how does it seek to try and solve some of those problems?

Melissa Reeve:

Well, I'm glad you asked because there's a lot of confusion in the market around Agile marketing. And I can't tell you how many news articles I've read that say marketing should be Agile. And they're really talking about lowercase Agile, meaning marketing should be more nimble or be more responsive. But they're not really talking about capital-A Agile marketing, which is a way of working that has principles and practices behind it. And so that's one aspect where there's confusion around Agile marketing.

Melissa Reeve:

And then another aspect is really how big of a circle you're talking about. In the software side when someone mentions Agile, they're really talking about a smaller team and depending on who you talk to, it could be anywhere from five to 11 people in that Agile team. And you're talking about a series of teams of that size. So when you're talking about Agile marketing, you could be talking about an individual team.

Melissa Reeve:

But some people, when they're talking about Agile marketing, they're talking about a transformation and transforming that entire marketing organization into an Agile way of working. And of course, in the SAFe world, we're really talking about those marketing teams that might be adjacent to a SAFe implementation. So, I think it's a good question to ask and a good question to ask up front when you're having a conversation about Agile marketing.

Sean Blake:

Okay. Okay. And for those people that don't know much about SAFe, can you just explain, what's the difference between just having a marketing team now working in a capital-A Agile way, and what's the difference between an organization that is starting to adopt Scaled Agile? What's the difference-

Melissa Reeve:

Sure.

Sean Blake:

...between those?

Melissa Reeve:

Yeah. So what software organizations found is that Agile teams, so those groups of five to 11 people, that way of working works really well when you have a limited number of software developers when you started to get into the world's largest organizations. So I think of anybody on the Global 2000, they might have tens of thousands of software developers in their organization. And in order to leverage the benefits of Agile, you needed to have cadence and synchronization, not only within a team, but across multiple teams up into the program level and even the portfolio level.

Melissa Reeve:

And the same holds true with large marketing organizations. Imagine you're a CMO and you have 6,000 marketers underneath you. How are you supposed to get alignment to your vision, to your strategies that you're setting if you don't have a way of connecting strategy to execution. And so the Scaled Agile Framework is a way of taking those Agile practices across multiple teams and up into the highest levels of the organization so that we're all moving in a similar direction.

Sean Blake:

Okay. Okay, I think that makes sense. And from a software team's point of view, one of the benefits of Agile is that it helps teams become more customer focused. And many would argue, well, marketing has always been customer focused. But have you found in your experience that maybe that's not so true? And when marketing teams start to adopt Agile, they realize what it really means to become customer focused.

Melissa Reeve:

Yeah. I mean, you raised another great point because I think most marketers think that they're customer focused. Like many things in the world, the world is a relative place. So you can, in your mind, in theory, be thinking about the customer or you can be actually talking to the customer. So I just finished what I call the listening session. And it was during our hackathon, which is our version of an innovation, couple of days worth of innovation. So it was eight hours on a Zoom call with somebody South Africa. Just listening to her experience and listening to her go through one of our courses, slide by slide, by slide, explaining what her experience was at each step of the way.

Melissa Reeve:

So if you think about somebody who is sitting in a large enterprise, maybe has never met the customer, only knows the customer in theory, on one end of the spectrum. And you think about this listening session on the other end of the spectrum, you start to get an understanding of what we're talking about. Now, your question really pointed to the fact that in Agile practices, you're thinking about the customer every time. In theory, every time you write a story. So when you write a story, you write the story from the perspective of the customer. And I would just encourage all the marketers out there to know the customer personally. And I know that's not easy in these large organizations. It's sometimes hard to get face time with the customer, but if you aren't speaking directly to a customer, chances are you don't actually know the customer.

Melissa Reeve:

So find a way, talk to the sales folks, get on the phone with some of your customer service representatives. Go to a trade show, find a way to talk directly to the customer because you're going to uncover some nuances that'll pay dividends in your ability to satisfy the customer. And when you go to write that story again, it will be even more rich.

Sean Blake:

Oh, that's really good advice, Melissa. I remember from personal experience, some of these large companies that I've worked in, we would say, "Oh, this is what the customer wants." But we actually didn't know any customers by name. Some of us personally were customers, but it's not really the same thing as going out and listening to people and what did they find challenging about using that app or what do they actually want out of this product? So there's a huge difference, isn't there, between guessing what a customer might want or should want? And then what their day to day actually looks like, and what are the things that they struggle with? That's hugely important.

Sean Blake:

For someone who's in one of these big companies, they're in a marketing team, perhaps they don't have the power or the influence to say, "Okay, now we're going to do Agile marketing." What would your advice be for someone like that, who can see the upside of moving their teams in that direction, but they don't necessarily know where to start?

Melissa Reeve:

Well, there's a philosophy out there that says take what you can get. So if you are just one person who is advocating for Agile marketing, maybe that's what you can do is you can advocate. Maybe you can start building alliances within the organization, chatting casually to your coworkers, finding out if you have allies in other parts of the organization and start to build a groundswell type movement.

Melissa Reeve:

Maybe you can build your own personal Kanban board and start tracking your work through your own Kanban board. And through visualizing your work in that way, it's a little bit harder now that we're all remote, but should we get back into offices somebody could in theory, walk by your cubicle, see your Kanban board and ask about it. And now you might have two people using a Kanban board, three people. And really start to set the example through your mindset, through your behaviors, through your conversations in order to start getting some support.

Sean Blake:

Oh, that's really good. So be the change that you want to see in the organization.

Melissa Reeve:

Exactly.

Sean Blake:

Okay. Okay, that's really good. And when these companies are moving towards this way of working, and then they're looking to take the next level, let's say it starts in the software development teams and then say marketing is the next team to come on board. How does it then spread throughout the whole organization? Because I know from personal experience, if there's still that part of the organization that's working anti-Agile it actually still makes it really difficult for the Agile teams to get anything done. Because there's still the blockers and the processes and the approvals that you need to go through with those other teams. And I guess SAFe is the answer, right? But how do you start to scale up Agile throughout the whole organization?

Melissa Reeve:

Sure. And what you're talking about is really business agility, is taking the whole business and making the business Agile. And you pointed out something that's key to that, which is once you solve the bottleneck and the impediments in one area of the business, then it'll shift to another area of the business. So the advantage of business agility is that you're trying to keep those bottlenecks from forming or shifting. But what a bottleneck essentially does is it creates what we call a burning platform. So it creates a need for change. And that's actually what we're seeing in the marketing side is we've got these IT organizations, they're operating much more efficiently with the use of Agile and with the use of SAFe. And what's happening is the software teams are able to release things more quickly than the teams that are surrounding them, one of which could be marketing.

Melissa Reeve:

And so now marketing is incentivized to look at ways of changing. They're incentivized to take a look and say, "Well, maybe Agile is the answer for us." So let's just say that marketing jumps on board and all of a sudden they're cranking along, and except for that everything's getting stuck in legal. And so now legal has a case for change and the pressures on legal to adopt it. So there is a way to let it spread organically. Most transformation coaches will understand this phenomenon and probably encourage the organization to just go Agile all in, obviously not in a big bang kind of way, but gradually move in that direction so that we're not just constantly shifting bottlenecks.

Sean Blake:

Okay. Okay, that makes sense. And when these companies are trying to build business agility across the different functions, are there some mistakes that you see say pop up over and over again? And how can we avoid those when we are on this journey of business agility?

Melissa Reeve:

Yeah. So I feel like the most common mistake, at least the one that I see the most often in marketing, although I've seen it in software as well, is people thinking that the transformation is about processes or tools. So for example, in marketing, they might adopt a tool to "become more Agile." Maybe it's a Kanban visualization tool, or maybe they're being suggested to adopt another common ALM type tool. And so they adopt this tool and they learn how to use it, and they wonder why they're not seeing big improvements.

Melissa Reeve:

And it's because Agile at its heart is a human transformation. So we're really taking a look at in trying to change the way people think. One of the topics I speak on is the history of management theory. And while it sounds pretty dry, in reality, it's eye opening. Because you realize that a lot of the habits that we have today are rooted back in the 20th and 19th centuries. So they're rooted in assembly lines. They're rooted in French management theory, which advocated command and control.

Melissa Reeve:

They're rooted in classism. There was a management class and a laboring, and the management class knew the one best way of doing things. So more than a process, more than a tool, we're talking about transforming this legacy of management thinking into a way that's appropriate for today's workers. And I feel like that's the number one mistake that I see organizations making as they're moving into transforming to Agile, an Agile way of working.

Sean Blake:

Mm-hmm (affirmative). Okay. Yeah, that's really interesting. And it really is eye opening, is it? When you look at how the nine to five workday came about, because that's the time when the factories were open and all the history around how organizations are structured. And it's really important, I think, to challenge some of those things that we've done in the past that worked back in the industrial age. But now we're moving into the information age and into these times of digital transformation. It probably doesn't work for us anymore, does it, some of those things? Or do you think some of those things are still valuable now that we have distributed teams, a lot of people are working remotely? Are there any things that come to mind that you think actually we shouldn't get rid of that just yet?

Melissa Reeve:

Oh, I'm sure there are. John Kotter has presented in his book, Accelerate, this notion of a dual operating system. So that you have the network part of the organization, which moves fast and nimble like a startup and then you have the hierarchical part of the organization. And the hierarchy is very, very good at scaling things. It's a well oiled machine. You do need somebody to approve your expense report. You do need some policies and some guidelines, some guard rails. And so we're not actually saying abolish the hierarchy. And I do feel like that's part of this legacy system. But what we are saying is abolish some of the command and control, this notion that the management knows the one best way, because the knowledge worker oftentimes knows more than his or her manager.

Melissa Reeve:

It's just too hard for a manager to keep up with everything that is in the heads of the people who report to him or her. So that's a really big change and it was a change for me. And I think why I got so fascinated in this history of management theory is because I came across some notes from my college days. And I realized that I had been taught these historic management theories. I'd been taught Taylorism, which stems from 1911. And I realized, wow, there's a lot of undoing that I've had to do in order to adopt this Agile way of working.

Sean Blake:

Well, that's great. Yeah, that's really important, isn't it? I've heard you speak before about this concept of walk-up work, especially in the realm of marketing. But I suppose, well, firstly, I'd like to know what is walk-up work. Why is it so dangerous, not just for marketers, but for all teams? And how do we start to fight back against walk-up work?

Melissa Reeve:

Yeah. So, marketers in particular get bombarded with what I like to call walk-up work. And that's when an executive or even a peer literally walks up, so think again about the cubicle farm, and makes a request. So how that looks in the virtual world is the slack or the instant message, "Hey, would you mind?" One is that it results in a lot of context switching and there's time lost in that context switching. And then the other part is rarely do these requests come in well-defined or even with any sort of deadline detach. In marketing, it might look like, "Hey, can you create this graphic for this email I'm sending out?" So now you've left your poor graphic designer with this knowledge that here she has to make a graphic, but they don't really have any of the specs.

Melissa Reeve:

So it's very, very helpful to put these things into stories, to follow the Agile process, where you're taking that walk-up work to the product owner, where the product owner can work with you to define that story, keep the person who's doing the work on task, not making them context switch or do that. Get that story in that acceptance criteria very well defined and prioritized before that work then comes into the queue for the graphic designer. And this is an anti-pattern, whether you're talking about an organization of 50 or 5,000.

Melissa Reeve:

And what I've found is the hardest behavior to change is that of the executives. Because not only do they have walk-up work, but they have positional authority too. And it's implied that, that person will stop working on whatever they're working on and immediately jump to the walk-up work being defined by the executive. So I feel like it's really dangerous to the whole Agile ecosystem because it's context switching, it interrupts flow and introduces waste into the system. And your highest priority items might not being worked on.

Sean Blake:

Okay. So how many people do you have on your marketing team at Scaled Agile?

Melissa Reeve:

We're pretty small, still. We've got about somewhere in the 20s, 23, 25, give or take or few.

Sean Blake:

So how do you-

Melissa Reeve:

I think right now we're three Agile teams.

Sean Blake:

Three. Okay. So those 20 something is split into three Agile teams. And do they each have a product owner or how does the prioritization of marketing work in your teams?

Melissa Reeve:

Yeah, it's a good question. So we do have individual product owners for those three product teams. And what's fascinating is the product owners then also have to meet very regularly to make sure that the priorities stay aligned. Because like many marketing teams, we don't have specialized skill sets on each of those teams. So for the group of 23, we only have one copywriter. For the group of 23, we have two graphic designers. So it's not like each team has its own graphic designer or its own copywriter.

Sean Blake:

Yes.

Melissa Reeve:

So that means the three POs have to get together and decide the priorities, the joint priorities for the copywriter, the joint priorities for those graphic designers. And I think it's working. I mean, it's not without its hiccups, but I think it's the role of the PO and it's an important role.

Sean Blake:

So how do you avoid the temptation to come to these teams and say, "Drop what you're doing, there's something new that we all need to work on?" Do you find that challenging as an executive yourself to really let the teams be autonomous and self-organizing?

Melissa Reeve:

Yeah, I think the biggest favor we've done to the teams is really, I don't want to say banned walk-up work, but the first thing we did is we defined it. And we said, "Walk-up work is anything that's going to take you more than two hours and that was not part of iteration planning." And iteration is only two weeks. And so, in theory, you've done it within the past 10 days. So if it wasn't part of that and you can't push it off to the next iteration planning, and there's a sense of urgency, then it's walk-up work.

Melissa Reeve:

And we've got the teams to a point where they are in the habit of then calling in the PO and saying, "Hey, would you mind going talking to so and so, and getting this defined and helping me understand where this fits in the priority order." And really that was the biggest hurdle because as marketers, I think a lot of us want to say yes if somebody approaches us with work. But what's happened is people have, myself included, stopped approaching the copywriters, stopped approaching the graphic designer with work. I just know, go to the PO.

Sean Blake:

That's good. So it's an extra line of defense for the team so they can continue to focus on their priorities and what they were already working on without being distracted by these new ideas and new priorities.

Melissa Reeve:

Yes. And in fact, I think we, in this last PI reduced walk-up work from 23% down to 11%. So we're not a 100%. And I don't know if we'll ever get to be a 100%, but we're certainly seeing progress in that direction.

Sean Blake:

Oh, that's really good. Really good. And so your marketing teams are working in an Agile way. Do you feel that across the board, not only within your organization, but also just more generally, are you seeing that Agile is being adopted by non-technical teams, so marketing, legal, finance? Are these sort of non-technical teams adopting Agile at a faster rate, or do you feel like it's still going to take some years to get the message out there?

Melissa Reeve:

Yeah. And I guess my question to you would be, a faster rate than what?

Sean Blake:

Good question. I suppose what I'm asking is, do you feel like this is a trend that non-technical teams are adopting Agile or is it something that really is in its infancy and hasn't really caught on yet, especially amongst Scaled Agile customers or people that you're connected to in the Agile industry?

Melissa Reeve:

I would say yes. Yes, it's a trend. And yes, people are doing it. And yes, it's in its infancy.

Sean Blake:

So, yes?

Melissa Reeve:

Yeah. So all of those combined, and I'm not going to kid you, I mean, this is new stuff. In fact, as part of that listening session I mentioned and we were talking about all these different parts of the business. And there was mentioned that the Scaled Agile Framework is the guidance to these teams, to HR, to legal, to marketing could be more robust. And the answer is absolutely. And the reason is because we're still learning ourselves. This is brand new territory that we're cutting our teeth on. My guess is that it'll take us several years, I don't know how many several is, to start learning, figuring out how this looks and really implementing it.

Melissa Reeve:

Now, my hope is that we'll get to a point where Agile is across the organization, that it's been adapted to the different environments. When I've seen it and when I've thought through things like Agile HR, Agile Legal, Agile procurement, the underpinnings seem to be solid. We can even things like the continuous delivery pipeline of DevOps. When I think about marketing and I think about automation. And I think about artificial intelligence, yeah, I can see that in marketing and I can see the need for this to unfold, but will it take us a while to figure out that nuance? Absolutely.

Sean Blake:

Okay. And can you see any other trends more broadly happening in the Agile space? You know, if we're to look forward, say 10 years, a decade into the future, what does the way of working look like? Are we all still remote or how are team's going to approach digital transformations in 10 years time? What's your perspective on the future?

Melissa Reeve:

Yeah, I mean, sometimes to look to the future I like to look to the past. And in this case I might look 10 or 12 years to the past. And 12 years ago, I was getting my very first iPhone. I remember that it was 2007, 2008. And you think about what a seismic shift that was in terms of our behavior and social media and connecting and having this computer in our hand. So I ask myself, what seismic shift lies ahead? And certainly COVID has been an accelerant to some of these shifts. I ask myself, will I be on airplanes as frequently as I was in the past? Or have we all become so accustomed to Zoom meetings that we realized there's power there. And we don't necessarily need to get on an airplane to get the value.

Melissa Reeve:

Now, as it pertains to Agile, I feel like in 10 years we won't be calling it Agile. I feel like it will look something more like a continuous learning organization or responsive organization. Agile refers to a very specific set of practices. And as that new mindset, well, the practices and the principles and the mindset, and as that new mindset takes hold and becomes the norm, then will we be calling it Agile? Or will it just be the way that people are working? My guess is it'll start to be moving toward the latter.

Sean Blake:

Well, let's hope that it becomes the normal, right? I mean that it would be great to have more transparency, more cross functional work, less walk-up work and more business agility across the board, wouldn't it? I think it would be great if that becomes the new normal.

Melissa Reeve:

Yeah, me too. Yeah. And I think, we don't call the way we manage people. We don't say, "Oh, that's Taylorism. Are you going to be practicing Taylorism? It's just the way we've either learned through school or learned from our bosses how to manage people. And that's my hope for Agile, is that we won't be calling it this thing. It's just the way we do things around here.

Sean Blake:

Great. Well, Melissa, I think we'll leave it there. I really enjoyed our conversation, especially as a marketer myself. It's great to hear your insight into the industry. And everything we've discussed today has been really, really eyeopening for me. So thank you so much for sharing that with me and with our audience. And we hope to have you on the podcast again, in the future.

Melissa Reeve:

Sean, it's been such a pleasure and I'd be happy to come back anytime.

Sean Blake:

Great. Thanks so much.

Melissa Reeve:

Thank you.

On this episode of The Easy Agile Podcast, tune in to hear developers Angad, Jared, Jess and Jordan, as they share their thoughts on observability.  

Wollongong has a thriving and supportive tech community and in this episode we have brought together some of our locally based Developers from Siligong Valley for a round table chat on all things observability.

💥 What is observability?
💥 How can you improve observability?
💥 What's the end goal?

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"This was a great episode to be a part of! Jess and Jordan shared some really interesting points on the newest tech buzzword - observability""

Be sure to subscribe, enjoy the episode 🎧

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Transcript

Jared Kells:

Welcome everybody to the Easy Agile podcast. My name's Jared Kells, and I'm a developer here at Easy Agile. 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 elders past, present and emerging, and extend that same respect to any aboriginal people listening with us today.

Jared Kells:

So today's podcast is a bit of a technical one. It says on my run sheet here that we're here to talk about some hot topics for engineers in the IT sector. How exciting that we've got a couple of primarily front end engineers and Angad and I are going to share some front end technical stuff and Jess and Jordan are going to be talking a bit about observability. So we'll start by introductions. So I'll pass it over to Jess.

Jess Belliveau:

Cool. Thanks Jared. Thanks for having me one as well. So yeah, my name's Jess Belliveau. I work for Apptio as an infrastructure engineer. Yeah, Jordan?

Jordan Simonovski:

I'm Jordan Simonovski. I work as a systems engineer in the observability team at Atlassian. I'm a bit of a jack of all trades, tech wise. But yeah, working on building out some pretty beefy systems to handle all of our data at Atlassian at the moment. So, that's fun.

Angad Sethi:

Hello everyone. I'm Angad. I'm working for Easy Agile as a software dev. Nothing fancy like you guys.

Jared Kells:

Nothing fancy!

Jess Belliveau:

Don't sell yourself short.

Jared Kells:

Yeah, I'll say. Yeah, so my name's Jared, and yeah, senior developer at Easy Agile, working on our apps. So mainly, I work on programs and road maps. And yeah, they're front end JavaScript heavy apps. So that's where our experience is. I've heard about this thing called observability, which I think is just logs and stuff, right?

Jess Belliveau:

Yeah, yeah. That's it, we'll wrap up!

Jared Kells:

Podcast over! Tell us about observability.

Jess Belliveau:

Yeah okay, I'll, yeah. Well, I thought first I'd do a little thing of why observability, why we talk about this and sort of for people listening, how we got here. We had a little chat before we started recording to try and feel out something that might interest a broader audience that maybe people don't know a lot about. And there's a lot of movements in the broad IT scope, I guess, that you could talk about. There's so many different things now that are just blowing up. Observability is something that's been a hot topic for a couple of years now. And it's something that's a core part of my job and Jordan's job as well. So it's something easy for us to talk about and it's something that you can give an introduction to without getting too technical. So we don't want to get down. This is something that you can go really deep into the weeds, so we picked it as something that hopefully we can explain to you both at a level that might interest the people at home listening as well.

Jess Belliveau:

Jordan and I figured out these four bullet points that we wanted to cover, and maybe I can do the little overview of that, and then I can make Jordan cover the first bullet point, just throw him straight under the bus.

Jordan Simonovski:

Okay!

Jess Belliveau:

So we thought we'd try and describe to you, first of all, what is observability. Because that's a pretty, the term doesn't give you much of what it is. It gives you a little hint, but it'll be good to base line set what are we talking about when we say what is observability. And then why would a development team want observability? Why would a company want observability? Sort of high level, what sort of benefits you get out of it and who may need it, which is a big thing. You can get caught up in these industry hot buzz words and commit to stuff that you might not need, or that sort of stuff.

Jared Kells:

Yep.

Jordan Simonovski:

Yep.

Jess Belliveau:

We thought we'd talk about some easy wins that you get with observability. So some of the real basic stuff you can try and get, and what advantages you get from it. And then we just thought because we're no going to try and get too deep, we could just give a few pointers to some websites and some YouTube talks for further reading that people want to do, and go from there. So yeah, Jordan you want to-

Jared Kells:

Sounds good.

Jess Belliveau:

Yeah. I hopefully, hopefully. We'll see how this goes! And I guess if you guys have questions as well, that's something we should, if there's stuff that you think we don't cover or that you want to know more, ask away.

Jordan Simonovski:

I guess to start with observability, it's a topic I get really excited about, because as someone that's been involved in the dev ops and SRE space for so long, observability's come along and promises to close the loop or close a feedback loop on software delivery. And it feels like it's something we don't really have at the moment. And I get that observability maybe sounds new and shiny, but I think the term itself exists to maybe differentiate itself from what's currently out there. A lot of us working in tech know about monitoring and the loading and things like that. And I think they serve their own purpose and they're not in any way obsolete either. Things like traditional monitoring tools. But observability's come along as a way to understand, I think, the overwhelmingly complex systems that we're building at the moment. A lot of companies are probably moving towards some kind of complicated distributed systems architecture, microservices, other buzz words.

Jordan Simonovski:

But even for things like a traditional kind of monolith. Observability really serves to help us ask new questions from our systems. So the way it tends to get explained is monitoring exits for our known unknowns. With seniority comes the ability to predict, almost, in what way your systems will fail. So you'll know. The longer you're in the industry, you know this, like a Java server fails in x, y, z amount of ways, so we should probably monitor our JVM heap, or whatever it is.

Jared Kells:

I was going to say that!

Jordan Simonovski:

I'll try not to get too much into-

Jared Kells:

Runs out of memory!

Jordan Simonovski:

Yeah. So that's something that you're expecting to fail at some point. And that's something that you can consider a known unknown. But then, the promise of observability is that we should be shipping enough data to be able to ask new questions. So the way it tends to get talked about, you see, it's an unknown unknown of our system, that we want to find out about and ask new questions from. And that's where I think observability gets introduced, to answer these questions. Is that a good enough answer? You want me to go any further into detail about this stuff? I can talk all day about this.

Jared Kells:

Is it like a [crosstalk 00:08:05]. So just to repeat it back to you, see if I've understood. Is it kind of like if I've got a, traditionally with a Java app, I might log memories. It's because I know JVM's run out of memory and that's a thing that I monitor, but observability is more broad, like going almost over the top with what you monitor and log so that you can-

Jordan Simonovski:

Yeah. And I wouldn't necessarily say it's going over the top. I think it's maybe adding a bit more context to your data. So if any of you have worked with traces before, observability is very similar to the way traces work and just builds on top of the premise of traces, I guess. So you're creating these events, and these events are different transactions that could be happening in your applications, usually submitting some kind of request. And with that request, you can add a whole bunch of context to it. You can add which server this might be running on, which time zone. All of these additional and all the exciters. You can throw in user agency into there if you want to. The idea of observability is that you're not necessarily constrained by high cardinality data. High cardinality data being data sets that can change quite largely, in terms of the kinds of data they represent, or the combinations of data sets that you could have.

Jordan Simonovski:

So if you want shipping metrics on something, on a per user basis and you want to look at how different users are affected by things, that would be considered a high cardinality metric. And a lot of the time it's not something that traditional monitoring companies or metric providers can really give you as a service. That's where you'll start paying insanely huge bills on things like Datadog or whatever it is, because they're now being considered new metrics. Whereas observability, we try and store our data and query it in a way that we can store pretty vast data sets and say, "Cool. We have errors coming from these kinds of users." And you can start to build up correlations on certain things there. You can find out that users from a particular time zone or a particular device would only be experiencing that error. And from there, you can start building up, I think, better ways of understanding how a particular change might have broken things. Or some particular edge cases that you otherwise couldn't pick up on with something like CPU or memory monitoring.

Angad Sethi:

Would it be fair to say-

Jared Kells:

Yeah. It's [crosstalk 00:11:02].

Angad Sethi:

Oh, sorry Jared.

Jared Kells:

No you can-

Angad Sethi:

Would it be fair to say that, so, observability is basically a set of principles or a way to find the unknown unknowns?

Jordan Simonovski:

Yeah.

Angad Sethi:

Oh.

Jess Belliveau:

And better equip you to find, one of the things I find is a lot of people think, you get caught up in thinking observability is a thing that you can deploy and have and tick a box, but I like your choice of word of it being a set of principles or best practices. It's sort of giving you some guidance around these, having good logging coming out of your application. So structured logs. So you're always getting the same log format that you can look at. Tracing, which Jordan talked a little bit about. So giving you that ability to follow how a user is interacting with all the different microservices and possibly seeing where things are going wrong, and metrics as well. So the good thing with metrics is we're turning things a bit around and trying to make an application, instead of doing, and I don't want to get too technical, black box monitoring, where we're on the outside, trying to peer in with probes and checks like that. But the idea with metrics is the application is actually emitting these metrics to inform us what state it is in, thereby making it more observable.

Jess Belliveau:

Yeah, I like your choice of words there, Angad, that it's like these practices, this sort of guide of where to go, which probably leads into this next point of why would a team want to implement it. If you want to start again, Jordan?

Jordan Simonovski:

Yeah, I can start. And I'll give you a bit more time to speak as well, Jess in this one. I won't rant as much.

Jess Belliveau:

Oh, I didn't sign up for that!

Jordan Simonovski:

I think why teams would want it is because, it really depends on your organization and, I guess, the size of the teams you're working in. Most of the time, I would probably say you don't want to build observability yourself in house. It is something that you can, observability capabilities themselves, you won't achieve it just by buying a thing, like you can't buy dev ops, you can't buy Agile, you can't buy observability either.

Jared Kells:

Hang on, hang on. It says on my run sheet to promote Easy Agile, so that sounds like a good segue-

Jess Belliveau:

Unless you want to buy it. If you do want to buy Agile, the [crosstalk 00:13:55] in the marketplace.

Jared Kells:

Yeah, sorry, sorry, yeah! Go on.

Jordan Simonovski:

You can buy tools that make your life a lot easier, and there are a lot of things out there already which do stuff for people and do surface really interesting data that people might want to look at. I think there are a couple of start ups like LightStep and Honeycomb, which give you a really intuitive way of understanding your data in production. But why you would need this kind of stuff is that you want to know the state of your systems at any given point in time, and to build, I guess, good operational hygiene and good production excellence, I guess as Liz Fong-Jones would put it, is you need to be able to close that feedback loop. We have a whole bunch of tools already. So we have CICD systems in place. We have feature flags now, which help us, I guess, decouple deployments from releases. You can deploy code without actually releasing code, and you can actually give that power to your PM's now if you want to, with feature flags, which is great.

Jordan Simonovski:

But what you can also do now is completely close this loop, and as you're deploying an application, you can say, "I want to canary this deployment. I want to deploy this to 10% of my users, maybe users who are opted in for Beta releases or something of our application, and you can actually look at how that's performing before you release it to a wider audience. So it does make deployments a lot safer. It does give you a better understanding of how you're affecting users as well. And there are a whole bunch of tools that you can use to determine this stuff as well. So if you're looking at how a lot of companies are doing SRE at the moment, or understanding what reliable looks like for their applications, you have things like SLO's in place as well. And SLO's-

Jared Kells:

What's an SLO?

Jordan Simonovski:

They're all tied to user experiences. So you're saying, "Can my user perform this particular interaction?" And if you can effectively measure that and know how users are being affected by the changes you're making, you can easily make decisions around whether or not you continue shipping features or if you drop everything and work on reliability to make sure your users aren't affected. So it's this very user centric approach to doing things. I think in terms of closing the loop, observability gives us that data to say, "Yes, this is how users are being affected. This is how, I guess the 99th percentile of our users are fine, but we have 1% who are having adverse issues with our application." And you can really pinpoint stuff from there and say, "Cool. Users with this particular browser or this particular, or where we've deployed this app to," let's say if you have a global deployment of some kind, you've deployed to an island first, because you don't really care what happens to them. You can say, "Oh, we've actually broken stuff for them." And you can roll it back before you impact 100% of your users.

Jared Kells:

Yeah. I liked what you said about the test. I forgot the acronym, but actually testing the end user behavior. That's kind of exciting to me, because we have all these metrics that are a bit useless. They're cool, "Oh, it's using 1% CPU like it always is, now I don't really care," but can a user open up the app and drag an issue around? It's like-

Jess Belliveau:

Yeah, that's a really great example, right?

Jared Kells:

That's what I really care about.

Jess Belliveau:

The 1% CPU thing, you could look at a CPU usage graph and see a deployment, and the CPU usage doesn't change. Is everything healthy or not? You don't know, whereas if you're getting that deeper level info of the user interactions, you could be using 1% CPU to serve HTTP500 errors to the 80% of the customer base, sort of thing.

Angad Sethi:

How do you do that? The SLO's bit, how do you know a user can log in and drag an issue?

Jordan Simonovski:

Yeah. I think that would come with good instrumenting-

Angad Sethi:

Good question?

Jordan Simonovski:

Yeah, it comes down to actually keeping observability in mind when you are developing new features, the same way you would think about logging a particular thing in your code as you're writing, or writing test for your code, as you're writing code as well. You want to think about how you can instrument something and how you can understand how this particular feature is working in production. Because I think as a lot of Agile and dev ops principles are telling us now is that we do want our applications in production. And as developers, our responsibilities don't end when we deploy something. Our responsibility as a developer ends when we've provided value to the business. And you need a way of understanding that you're actually doing that. And that's where, I guess, you do nee do think about observability with a lot of this stuff, and actually measuring your success metrics. So if you do know that your application is successful if your user can log in and drag stuff around, then that's exactly what you want to measure.

Jared Kells:

I think that we have to build-

Jordan Simonovski:

Yeah?

Jared Kells:

Oh, sorry Jordan.

Jordan Simonovski:

No, you go.

Jared Kells:

I was just going to say we have to build our apps with integration testing in mind already. So doing browser based tests around new features. So it would be about building features with that and the same thing in mind but for testing and production.

Jess Belliveau:

Yeah and the actual how, the actual writing code part, there's this really great project, the open telemetry project, which provides all these sort of API's and SDK's that developers can consume, and it's vendor agnostic. So when you talk about the how, like, "How do I do this? How do I instrument things?" Or, "How do I emit metrics?" They provide all these helpful libraries and includes that you can have, because the last thing you want to do is have to roll this custom solution, because you're then just adding to your technical debt. You're trying to make things easier, but you're then relying on, "Well I need to keep Jared Kells employed, because he wrote our log in engine and no one else knows how it works.

Jess Belliveau:

And then the other thing that comes to mind with something like open telemetry as well, and we talked a bit about Datadog. So Datadog is a SaaS vendor that specializes in observability. And you would push your metrics and your logs and your traces to them and they give you a UI to display. If you choose something that's vendor agnostic, let's just use the example of Easy Agile. Let's say they start Datadog and then in six months time, we don't want to use Datadog anymore, we want to use SignalFx or whatever the Splunk one is now.

Jordan Simonovski:

I think NorthX.

Jess Belliveau:

Yeah. You can change your end point, push your same metrics and all that sort of stuff, maybe with a few little tweaks, but the idea is you don't want to tie in to a single thing.

Jordan Simonovski:

Your data structures remain the same.

Jess Belliveau:

Yeah. So that you could almost do it seamlessly without the developers knowing. There's even companies in the past that I think have pushed to multiple vendors. So you could be consuming vendor A and then you want to do a proof of concept with vendor B to see what the experience is like and you just push your data there as well.

Jared Kells:

Yeah. I think our coupling to Datadog will be I all the dashboards and stuff that we've made. It's not so much the data.

Jess Belliveau:

Yeah. That's sort of the big up sell, right. It's how you interact. That's where they want to get their hooks in, is making it easier for you to interpret that data and manipulate it to meet your needs and that sort of stuff.

Jordan Simonovski:

Observability suggests dashboards, right?

Jess Belliveau:

Yeah, perhaps. You used this term as well, Jordan, "production excellence." And when we talk about who needs observability, I was thinking a bit about that while you were talking. And for me, production excellence, or in Apptio we call it production readiness, operational readiness and that sort of stuff is like we want to deploy something to production like what sort of best practices do we want to have in place before we do that? And I think observability is a real great idea, because it's helping you in the future. You don't know what problems you're going to have down the line, but you're equipping your teams to be able to respond to those problems easily. Whereas, we've all probably been there, we've deployed code of production and we have no observability, we have a huge outage. What went wrong? Well, no one knows, but we know this is the fix, and it's hard to learn from that, or you have to learn from that I guess, and protect the user against future stuff, yeah.

Jess Belliveau:

When I think easy wins for observability, the first thing that really comes to mind is this whole idea of structured logging, which is really this idea that your application is you're logging, first of all. Quite important as a baseline starting point, but then you have a structured log format which lets you programmatically pass the logs as well. If you go back in time, maybe logging just looked like plain text with a line, with a timestamp, an error message. Whatever the developer decided to write to the standard out, or to the error file or something like that. Now I think there's a general move to having JSON, an actual formatted blob with that known structure so you can look into it. Tracing's probably not an easy win. That's a little bit harder. You can implement it with open telemetry and libraries and stuff. Requires a bit more understanding of your code base, I guess, and where you want tracing to fire, and that sort of stuff, parsing context through, things like that.

Jordan Simonovski:

I think Atlassian, when you probably just want to know that everything is okay. At a fairly superficial level. Maybe you just want to do some kind of up time on a trend. And then as, I guess, your code might get more complex or your product gets a bit more complex, you can start adding things in there. But I think actually knowing or surfacing the things you know might break. Those would probably be your quickest wins.

Jess Belliveau:

Well, let's mention some things for further reading. If you want to go get the whole picture of the whole, real observability started to get a lot of movement out of the Google SRE book from a few years ago. The Google SRE stuff covers the whole gamut of their soak reliability engineering practice, and observability is a portion of that, there's some great chapters on that. O'Reilly has an observability book, I think, just dedicated to observability now.

Jordan Simonovski:

I think that's still in early release, if people want to google chapters.

Jess Belliveau:

The open telemetry stuff, we'll drop a link to that I think that's really handy to know.

Angad Sethi:

From [inaudible 00:26:12], which is my perspective, as a developer, say I wanted to introduce cornflake use Datadog at Easy Agile. Not very familiar, I'm not very comfortable with it. I know how to navigate, but what's a quick way for me to get started on introducing observability? Sorry to lock my direct job or at my workplace.

Jordan Simonovski:

I would lean, I could be biased here. Jess correct me or give your opinion on this, I would lean heavily towards SLO's for this. And you can have a quick read in the SRE-

Jess Belliveau:

What does SLO stand for, Jordan?

Jordan Simonovski:

Okay, sorry. Buzz words! SLO is a service level objective, not to be confused with service level agreement. An agreement itself is contractual and you can pay people money if you do breach those. An SLO is something you set in your team and you have a target of reliability, because we are getting to the point where we understand that all systems at any point in time are in some kind of degraded state. And yeah, reliability isn't necessarily binary, it's not unreliable or reliable. Most of the time, it's mostly reliable and this gives us a better shared language, I guess. And you can have a read in the SRE handbook by Google, which is free online, which gives you a pretty good understanding of Datadog.

Jordan Simonovski:

I think the last time I used it had a SLO offering. But I think like I was mentioning earlier, you set an SLO on particular functionalities or features of your application. You're saying, "My user can do this 99% of the time," or whatever other reliability target you might want to set. I wouldn't recommend five nines of reliability. You'll probably burn yourself out trying to get there. And you have this target set for yourself. And you know exactly what you're measuring, you're measuring particular types of functionality. And you know when you do breach these, users are being affected. And that's where you can actually start thinking about observability. You can think about, "What other features are we implementing that we can start to measure?" Or, "What user facing things are we implementing that we can start to measure?"

Jordan Simonovski:

Other things you could probably look at are, I think they're all covered in the book anyway, data freshness in a way. You want to make sure the data users are being displayed is relatively fresh. You don't want them looking at stale data, so you can look at measuring things like that as well. But you can pretty much break it down into most functionalities of a website. It's no longer like a ping check, that you're just saying, "Yes, HTTP, okay. My application is fine." You're saying, "My users are actually being affected by things not working." And you can start measuring things from there. And that should give you a better understanding, or a better idea, at least, of where to start with what you want to measure and ow you want to measure it. That would be my opinion on where to get started with this if you do want to introduce it.

Jared Kells:

We're going to talk a little bit about state and how with some of these, like our very front end heavy applications that we're building, so the applications we build just basically run inside the browser and the traditional state as you would think about it, is just pulling a very simple API that writes some things into the database with some authentication, and that sort of stuff. So in terms of reliability of the services, it's really reliable. Those tiny API's just never have problems, because it's just so simple. And well, they've got plenty of monitoring around it. But all our state is actually, when you say, "Observe the state of the system," for the most part, that's state in a browser. And how do we get observability into that?

Jess Belliveau:

A big thing is really, there's not one thing fits all as well. When we talk about the SLO stuff as well, it's understanding what is important to not so much maybe your company but your team as well. If you're delivering this product, what's important to you specifically? So one SLO that might work for me at Apptio probably isn't going to work for Easy Agile. This is really pushing my knowledge, as well, of front end stuff, but when we say we want to observe the state as well, we don't necessarily mean specifically just the state. You could want to understand with each one of those API's when it's firing, what the request response time is for that API firing. So that might be an important metric. So you can start to see if one of those APIs is introducing latency, and so your user experience is degraded. Like, "Hey when we were on release three, when users were interacting with our service here, it would respond in this percentile latency. We've done a release and since then, now we're seeing it's now in this percentile. Have we degraded performance performance?" Users might not be complaining, but that could be something that the team then can look into, add to a sprint. Hey, I'm using Agile terms now. Watch out!

Jared Kells:

That's a really good example, Jess. Performance issues for us are typically not an API that's performing poorly. It's something in this very complicated front end application is not running in the same order as it used to, or there's some complex interaction we didn't think of, so it's requesting more data than expected. The APIs are returning. They're never slow, for the most part, but we have performance regressions that we may not know about without seeing them or investigating them. The observability is really at the individual user's browser level. That makes sense? I want to know how long did it take for this particular interaction to happen.

Jess Belliveau:

Yeah. I've never done that sort of side of things. As well, the other thing I guess, you could potentially be impacted in as well as then, you're dealing with end user manifestations as well. You could perceive-

Jared Kells:

Yeah sure.

Jess Belliveau:

... Greater performance on their laptop or something, or their ISP or that sort of stuff. It'd be really hard to make sure you're not getting noise from that sort of thing as well.

Jordan Simonovski:

Yeah. There are tools like Sentry, I guess, which do exist to give you a bit more of an understanding what's happening on your front end. The way Sentry tends to work with JavaScript, is you'll upload a minified map of your JS to Sentry, deploy your code and then if something does break or work in a fairly unexpected way, that tends to get surfaced with Sentry will tell you exactly which line this kind of stuff is happening on, and it's a really cool tool for that company stuff. I don't know if it'd give you the right type of insights, I think, in terms of performance or-

Jared Kells:

Yeah, we use a similar tool and it does work for crashes and that sort of thing. And on the observability front, we log actions like state mutations in side the front end, not the actual state change, but just labels that represent that you updated an issue summary or you clicked this button, that sort of thing, and we send those with our crash reports. And it's super helpful having that sort of observability. So I think I know what you guys are talking about. But I'm just [crosstalk 00:35:25], yeah.

Jess Belliveau:

Yeah, that's almost like, I guess, a form of tracing. For me and Jordan, when we talk about tracing, we might be thinking about 12 different microservices sitting in AWS that are all interacting, whereas you're more shifting that. That's sort of all stuff in the browser interacting and just having that history of this is what the user did and how they've ended up-

Jared Kells:

In that state.

Jess Belliveau:

In that state, yeah.

Jordan Simonovski:

I guess even if you don't have a lot of microservices, if you're talking about particular, like you're saying for the most part your API requests are fine but sometimes you have particularly large payloads-

Jared Kells:

We actually have to monitor, I don't know, maybe you can help with this, we actually should be monitoring maybe who we're integrating with. It's actually much more likely that we'll have a performance issue on a Xero API rather than... We don't see it, the browser sees it as well, which is-

Jordan Simonovski:

Yeah, and tracing does solve all of those regressions for you. Most tracing libraries, like if you're running Node apps or whatever on your backend. I can just tell you about Node, because I probably have the most experience writing Node stuff. You pretty much just drop in Didi trace, which is a Datadog library for tracing into your backend and your hook itself into all of, I think, the common libraries that you'll tend to work with, I think. Like if you're working for express or for a lot of just HADP libraries, as well as a few AWS services, it will kind of hook itself into that. And you can actually pinpoint. It will kind of show you on this pretty cool service map exactly which services you're interacting with and where you might be experiencing a regression. And I think traces do serve to surface that information, which is cool. So that could be something worth investigating.

Jess Belliveau:

It's funny. This is a little bit unrelated to observability, but you've just made me think a bit more about how you're saying you're reliant on third party providers as well. And something I think that's really important that sometimes gets missed is so many of us today are relying on third party providers, like AWS is a huge thing. A lot of people writing apps that require AWS services. And I think a lot of the time, people just assume AWS or Jira or whatever, is 100% up time, always available. And they don't write their code in such a way that deals with failures. And I think it's super important. So many times now I've seen people using the AWS API and they don't implement exponential back off. And so they're basically trying to hit the AWS API, it fails or they might get throttled, for example, and then they just go into a fail state and throw an error to the user. But you could potentially improve that user experience, have a retry mechanism automatically built in and that sort of stuff. It doesn't really tie into the observability thing, but it's something.

Jared Kells:

And the users don't care, right? No one cares if it's an AWS problem. It's your problem, right, your app is too slow.

Jess Belliveau:

Well, they're using your app. Exactly right. It reflects on you sort of thing, so it's in your interest to guard against an upstream failure, or at least inform the user when it's that case. Yeah.

Jared Kells:

Well, I think we're going to have to call it, this podcast, because it was an hour ago. We had instructed max 45 minutes.

Jess Belliveau:

We could just keep going. We might need a part two! Maybe we can request [cross talk 00:39:21].

Jared Kells:

Maybe! Yeah.

Jess Belliveau:

Or we'll just start our own podcast! Yeah.

Angad Sethi:

So what were your biggest learnings today, given it's been Angad and I are just learning about observability, Angad what was your biggest learning today about observability? My biggest learning was that observability does not equal Datadog. No, sorry! It was just very fascinating to learn about quantifying the known unknowns. I don't know if that's a good takeaway, but...

Jess Belliveau:

Any takeaway is a good takeaway! What about you, Jared?

Jared Kells:

I think, because I we were going to talk about state management, and part of it was how we have this ability, at the moment to, the way our front ends are architected, we can capture the state of the app and get a customer to send us their state, basically. And we can load it into our app and just see exactly how it was, just the way our state's designed. But what might be even cooler is to build maybe some observability into that front end for support. I'm thinking instead of just having, we have this button to send us out your support information that sends us a bunch of the state, but instead of console logging to the browser log, we could be console logging, logging in our front end somewhere that when they click, "send support information," our customers should be sending us the actions that they performed.

Jared Kells:

Like, "Hey there's a bug, send us your support information." It doesn't have to be a third party service collecting this observability stuff. We could just build into our... So that's what I'm thinking about.

Jess Belliveau:

Yeah, for sure. It'll probably be a lot less intrusive, as well, as some of the third party stuff that I've seen around.

Jared Kells:

Yeah. It's pretty hard with some of these integrations, especially if you're developing apps that get run behind a firewall.

Jess Belliveau:

Yeah

Jared Kells:

You can't just talk to some of these third parties. So yeah, it's cool though. It's really interesting.

Jess Belliveau:

Well, I hope someone out there listening has learned something, and Jordan and I will send some links through, and we can add them, hopefully, to the show notes or something so people can do some more reading and...

Jared Kells:

All thanks!

Jess Belliveau:

Thanks for having us, yeah.

Jared Kells:

Thanks all for your time, and thanks everybody for listening.

Jordan Simonovski:

Thanks everyone.

Angad Sethi:

That was [inaudible 00:41:55].

Jess Belliveau:

Tune in next week!