Scrum Master Toolbox Podcast

Karim Harbott: You Can't Make a Flower Grow Faster—The Oblique Approach to Shaping Culture Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "How can I make a flower grow faster? Culture is a product of the behaviors of people in the system." - Karim Harbott   For Karim, one of the biggest challenges—and enablers—in his current work is creating a supporting culture. After years of learning what doesn't work, he's come to understand that culture isn't something you can force or mandate. Like trying to make a flower grow faster by pulling on it, direct approaches to culture change often backfire.  Instead, Karim uses what he calls the "oblique approach"—changing culture indirectly by adjusting the five levers: leadership behaviors, organizational structure, incentives, metrics, and systems. Leadership behaviors are particularly crucial.  When leaders step back and encourage ownership rather than micromanaging, teams transform. Incentives have a huge impact on how teams work—align them poorly, and you'll get exactly the wrong behaviors.  Karim references Team of Teams by General Stanley McChrystal, which demonstrates how changing organizational structure and leadership philosophy can unlock extraordinary performance. He also uses the Competing Values Framework to help leaders understand different cultural orientations and their tradeoffs. But the most important lesson? There are always unexpected consequences. Culture change requires patience, experimentation, and a willingness to observe how the system responds. You can't force a flower to grow, but you can create the conditions where it thrives.   Self-reflection Question: Are you trying to change your organization's culture directly, or are you adjusting the conditions that shape behavior?   [The Scrum Master Toolbox Podcast Recommends]

Karim Harbott: Why System Design Beats Individual Coaching Every Time Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "You can't change people, but you can change the system. Change the environment, not the people." - Karim Harbott   Karim was coaching a distributed team that was struggling with defects appearing constantly during sprints. The developers and testers were at different sites, and communication seemed fractured. But Karim knew from experience that when teams are underperforming, the problem usually isn't the people—it's the system they're working in. He stepped back to examine the broader context, implementing behavior-driven development(BDD) and specification by example to improve clarity through BDD scenarios.  But the defects persisted.  Then, almost by accident, Karim discovered the root cause: the developers and testers were employed by different companies. They had competing interests, different incentives, and fundamentally misaligned goals. No amount of coaching the individuals would fix a structural problem like that.  It took months, but eventually the system changed—developers and testers were reorganized into unified teams from the same organization. Suddenly, the defects dropped dramatically. As Jocko Willink writes in Extreme Ownership, when something isn't working, look at the system first. Karim's experience proves that sometimes the most compassionate thing you can do is stop trying to fix people and start fixing the environment they work in.   Self-reflection Question: When your team struggles, do you look at the people or at the system they're embedded in? Featured Book of the Week: Scaling Lean and Agile Development by Craig Larman and Bas Vodde "This book was absolute gold. The way it is written, and the tools they talk about went beyond what I was talking about back then. They introduced many concepts that I now use." - Karim Harbott   Karim discovered Scaling Lean and Agile Development by accident, but it resonated with him immediately. The concepts Craig Larman and Bas Vodde introduced—particularly around LeSS (Large-Scale Scrum)—went far beyond the basics Karim had been working with. The book opened his eyes to system-level thinking at scale, showing how to maintain agility even as organizations grow.  It's packed with practical tools and frameworks that Karim still uses today. For anyone working beyond a single team, this book provides the depth and nuance that most scaling frameworks gloss over. Also worth reading: User Stories Applied by Mike Cohn, another foundational text that shaped Karim's approach to working with teams.   [The Scrum Master Toolbox Podcast Recommends]

Karim Harbott: The Day I Discovered I Was a Scrum Project Manager, Not a Scrum Master Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "I was telling the team what to do, instead of helping the team to be better on their own. There's a lot more to being a Scrum Master than Agile—working with people is such a different skillset." - Karim Harbott   Karim thought he had mastered Scrum. He had read the books, understood the framework, and was getting things done. His team seemed to be moving forward smoothly—until he stepped away for a few weeks.  But, when he returned, everything had fallen apart. The team couldn't function without him constantly directing their work. That's when Karim realized he had fallen into one of the most common anti-patterns in Agile: the Scrum Project Manager.  Instead of enabling his team to be more effective, he had become their bottleneck. Every decision flowed through him, every task needed his approval, and the team had learned to wait for his direction rather than taking ownership themselves. The wake-up call was brutal but necessary.  Karim discovered that pushing project management responsibilities to the people doing the work—as David Marquet advocates—was far more powerful than being the hero who solves all problems. The real skill wasn't in telling people what to do; it was in creating an environment where they could figure it out themselves. Geoff Watts calls this servant leadership, and Karim learned it the hard way: a great Scrum Master makes themselves progressively less necessary, not more indispensable.   Self-reflection Question: Are you enabling your team to be more effective, or have you become the person they can't function without?   [The Scrum Master Toolbox Podcast Recommends]

BONUS: Organizations as Ecosystems — Understanding Complexity, Innovation, and the Three-Body Problem at Work In this fascinating conversation about complex adaptive systems, Simon Holzapfel helps us understand why traditional planning and control methods fail in knowledge work — and what we can do instead. Understanding Ecosystems vs. Systems "Complex adaptive systems are complex in nature and adaptive in that they evolve over time. That's different from a static system." — Simon Holzapfel   Simon introduces the crucial distinction between mechanical systems and ecosystems. While mechanical systems are predictable and static, ecosystems — like teams and organizations — are complex, adaptive, and constantly evolving. The key difference lies in the interactions among team members, which create emergent properties that cannot be predicted by analyzing individuals separately. Managers often fall into the trap of focusing on individuals rather than the interactions between them, missing where the real magic happens. This is why understanding your organization as an ecosystem, not a machine, fundamentally changes how you lead. In this segment, we refer to the Stella systems modeling application. The Journey from Planning to Emergence "I used to come into class with a lesson plan — doop, doop, doop, minute by minute agenda. And then what I realized is that I would just completely squash those questions that would often emerge from the class." — Simon Holzapfel   Simon shares his transformation from rigid classroom planning to embracing emergence. As a history and economics teacher for 10 years, he learned that over-planning kills the spontaneous insights that make learning powerful. The same principle applies to leadership: planning is essential, but over-planning wastes time and prevents novelty from emerging. The key is separating strategic planning (the "where" and "why") from tactical execution (the "how"), letting teams make local decisions while leaders focus on alignment with the bigger picture. "Innovation Arrives Stochastically" "Simply by noticing the locations where you've had your best ideas, we notice the stochasticness of arrival. Might be the shower, might be on a bike ride, might be sitting in traffic, might be at your desk — but often not." — Simon Holzapfel   Simon unpacks the concept of stochastic emergence — the idea that innovation cannot be scheduled or predicted in advance. Stochastic means something is predictable over large datasets but not in any given moment. You know you'll have ideas if you give yourself time and space, but you can't predict when or where they'll arrive. This has profound implications for managers who try to control when and how innovation happens. Knowledge work is about creating things that haven't existed before, so emergence is what we rely on. Try to squash it with too much control, and it simply won't happen. In this segment, we refer to the Systems Innovation YouTube channel. The Three-Body Problem: A Metaphor for Teams "When you have three nonlinear functions working at the same time within a system, you have almost no ability to predict its future state beyond just some of the shortest time series data." — Simon Holzapfel   Simon uses the three-body problem from physics as a powerful metaphor for organizational complexity. In physics, when you have three bodies (like planets) influencing each other, prediction becomes nearly impossible. The same is true in business — think of R&D, manufacturing, and sales as three interacting forces. The lesson: don't think you can master this complexity. Work with it. Understand it's a system. Most variability comes from the system itself, not from any individual person. This allows us to depersonalize problems — people aren't good or bad, systems can be improved. When teams understand this, they can relax and stop treating every unpredictable moment as an emergency. Coaching Leaders to Embrace Uncertainty "I'll start by trying to read their comfort level. I'll ask about their favorite teachers, their most hated teachers, and I'll really try to bring them back to moments in time that were pivotal in their own development." — Simon Holzapfel   How do you help analytical, control-oriented leaders embrace complexity and emergence? Simon's approach is to build rapport first, then gently introduce concepts based on each leader's background. For technical people who prefer math, he'll discuss narrow tail distributions and fat tails. For humanities-oriented leaders, he uses narrative and storytelling. The goal is to get leaders to open up to possibilities without feeling diminished. He might suggest small experiments: "Hold your tongue once in a meeting" or "Ask questions instead of making statements." These incremental changes help managers realize they don't have to be superhuman problem-solvers who control everything. Giving the Board a Number: The Paradox of Prediction "Managers say we want scientific management, but they don't actually want that. They want predictive management." — Simon Holzapfel   Simon addresses one of the biggest tensions in agile adoption: leaders who say "I just need to give the board a number" while also wanting innovation and adaptability. The paradox is clear — you cannot simultaneously be open to innovation and emergent possibilities while executing a predetermined plan with perfect accuracy. This is an artifact of management literature that promoted the "philosopher king" manager who knows everything. But markets are too movable, consumer tastes vary too much, and knowledge work is too complex for any single person to control. The burnout we see in leaders often comes from trying to achieve an impossible standard. In this segment, we refer to the episodes with David Marquet.  Resources for Understanding Complexity "Eric Beinhocker's book called 'The Origin of Wealth' is wonderful. It's a very approachable and well-researched piece that shows where we've been and where we're going in this area." — Simon Holzapfel   Simon recommends two key resources for anyone wanting to understand complexity and ecosystems. First, Eric Beinhocker's "The Origin of Wealth" explains how we developed flawed economic assumptions based on 19th-century Newtonian physics, and why we need to evolve our understanding. Second, the Systems Innovation YouTube channel offers brilliant short videos perfect for curious, open-minded managers. Simon suggests a practical approach: have someone on your team watch a video and share what they learned. This creates shared language around complexity and makes the concepts less personal and less threatening. The Path Forward: Systems Over Individuals "As a manager, our goal is to constantly evaluate the performance of the system, not the people. We can always put better systems in place. We can always improve existing systems. But you can't tell people what to do — it's not possible." — Simon Holzapfel   The conversation concludes with a powerful insight from Deming's work: about 95% of a system's productivity is linked to the system itself, not individual performance. This reframes the manager's role entirely. Instead of trying to control people, focus on improving systems. Instead of treating burnout as individual failure, see it as information that something in the system isn't working. Organizations are ever-changing ecosystems with dynamic properties that can only be observed, never fully predicted. This requires a completely different way of thinking about management — one that embraces uncertainty, values emergence, and trusts teams to figure things out within clear strategic boundaries. Recommended Resources As recommended resources for further reading, Simon suggests:  The Origin of Wealth, by Eric Beinhocker The Systems Innovation YouTube channel   About Simon Holzapfel   Simon Holzapfel is an educator, coach, and learning innovator who helps teams work with greater clarity, speed, and purpose. He specializes in separating strategy from tactics, enabling short-cycle decision-making and higher-value workflows. Simon has spent his career coaching individuals and teams to achieve performance with deeper meaning and joy. Simon is also the author of the Equonomist newsletter on Substack, where he explores the intersection of economics, equality, and equanimity in the workplace.   You can link with Simon Holzapfel on LinkedIn.

Darryl Wright: The PONO—Product Owners in Name Only and How They Destroy Teams Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. The Great Product Owner: Collaborative, Present, and Clear in Vision   "She was collaborative, and that meant that she was present—the opposite of the MIA product owner. She came, and she sat with the team, and she worked with them side by side. Even when she was working on something different, she'd be there, she'd be available." - Darryl Wright   Darryl shares an unusual story about one of the best Product Owners he's ever encountered—someone who had never even heard of Agile before taking the role. Working for a large consulting company with 170,000 staff worldwide, they faced a difficult project that nobody wanted to do. Darryl suggested running it as an Agile project, but the entire team had zero Agile experience. The only person who'd heard of Agile was a new graduate who'd studied it for one week at university—he became the Scrum Master. The executive sponsor, with her business acumen and stakeholder management skills, became the Product Owner despite having no idea what that meant.  The results were extraordinary: an 18-month project completed in just over 7 months, and when asked about the experience, the team's highest feedback was how much fun they had working on what was supposed to be an awful, difficult project. Darryl attributes this success to mindset—the team was open and willing to try something new.  The Product Owner brought critical skills to the role even without technical Agile knowledge: She was collaborative and present, sitting with the team and remaining available. She was decisive, making prioritization calls clearly so nobody was ever confused about priorities. She had excellent communication skills, articulating the vision with clarity that inspired the team. Her stakeholder management capabilities kept external pressures managed appropriately. And her business acumen meant she instantly understood conversations about value, time to market, and customer impact.  Without formal training, she became an amazing Product Owner simply by being open, willing, and committed. As Darryl reflects, going from never having heard of the role to being an inspiring Product Owner in 7 months was incredible—one of the most successful projects and teams he's ever worked with.   Self-reflection Question: If you had to choose between a Product Owner with deep Agile certification and no business skills, or one with strong business acumen and willingness to learn—which would serve your team better? The Bad Product Owner: The PONO—Product Owner in Name Only   "The team never saw the PO until the showcase. And so, the team would come along with work that they deemed was finished, and the product owner had not seen it before because he wasn't around. So he would be seeing it for the first time in the showcase, and he would then accept or reject the work in the showcase, in front of other stakeholders." - Darryl Wright   The most destructive anti-pattern Darryl has witnessed was the MIA—Missing in Action—Product Owner, someone who was a Product Owner in Name Only (PONO). This senior business person was too busy to spend time with the team, only appearing at the sprint showcase. The damage this created was systematic and crushing. The team would build work without Product Owner engagement, then present it in the showcase looking to be proud of their accomplishment.  The PO, seeing it for the first time, would accept or reject the work in front of stakeholders. When he rejected it, the team was crushed, deflated, demoralized, and made to look like fools in front of senior leaders—essentially thrown under the bus. This pattern violates multiple principles of Agile teamwork. First, there's no feedback loop during the sprint, so the team works blind, hoping they're building the right thing. Second, the showcase becomes a validation ceremony rather than a collaborative feedback session, creating a dynamic of subservience rather than curiosity. The team seeks approval instead of engaging as explorers discovering what delivers customer value together. Third, the PO positions themselves as judge rather than coach—extracting themselves from responsibility for what's delivered while placing all blame on the team.  As Deming's quote reminds us, "A leader is a coach, not a judge." When the PO takes the judge role, they're betraying fundamental Agile values.  The responsibility for what the team delivers belongs strictly to the Product Owner; the team owns how it's delivered.  When Darryl encounters this situation as a Scrum Master, he lobbies intensely with the PO: "Even if you can't spare any other time for the entire sprint, give us just one hour the night before the showcase." That single hour lets the team preview what they'll present, getting early yes/no decisions so they never face public rejection. The basic building block of any Agile or Scrum way of working is an empowered team—and this anti-pattern strips all empowerment away.   Self-reflection Question: Does your Product Owner show up as a coach who's building something together with the team, or as a judge who pronounces verdicts? How does that dynamic shape what your team is willing to try?   [The Scrum Master Toolbox Podcast Recommends]

Darryl Wright: The Retrospective Formats That Actually Generate Change Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "My success is, how much have I helped the team achieve what they want? If what they want is to uplift quality, or to reduce their time to market, well then, my success is helping them achieve that." - Darryl Wright When Darryl enters a new organization, he's often told his success will be measured by percentage of Agile adoption or team maturity assessment scores. His response is direct: those are vanity metrics that show something for its own sake, not real success. True success requires multiple measures, carefully balanced to prevent gaming and to capture both the human and business dimensions of work. Darryl advocates balancing quantitative metrics like lead time and flow efficiency with qualitative measures like employee happiness and team self-assessment of productivity. He balances business outcomes like customer satisfaction and revenue with humanity metrics that track the team's journey toward high performance. Most importantly, Darryl believes his success metrics should be co-created with the team. If he's there to help the team, then success must be defined by how much he's helped them achieve what they want—not what he wants. When stakeholders fixate on output metrics like "more story points," Darryl uses a coaching approach to shift the conversation toward outcomes and value. "Would you be happy if your team checked off more boxes, but your customers were less happy?" he asks. This opens space for exploring what they really want to achieve and why it matters. The key is translating outputs into impacts, helping people articulate the business value or customer experience improvement they're actually seeking. As detailed in Better Value, Sooner, Safer, Happier by Jonathan Smart, comprehensive dashboards can track value across multiple domains simultaneously—balancing speed with quality, business success with humanity, quantitative data with qualitative experience. When done well, Agile teams can be highly productive, highly successful, and have high morale at the same time. We don't have to sacrifice one for the other—we can have both. Self-reflection Question: If your team could only track two metrics for the next sprint, what would they choose? What would you choose? And more importantly, whose choice should drive the selection? Featured Retrospective Format for the Week: The 4 L's and Three Little Pigs Darryl offers two favorites, tailored to different contexts. For learning environments, he loves the 4 L's retrospective: Liked, Learned, Lacked, and Longed For. This format creates space for teams to reflect on their learning journey, surfacing insights about what worked, what was missing, and what they aspire to moving forward. For operational environments, he recommends the Three Little Pigs retrospective, which brilliantly surfaces team strengths and weaknesses through a playful metaphor. The House of Straw represents things the team is weak at—nothing stands up, everything falls over. The House of Sticks is things they've put structure around, but it doesn't really work. The House of Bricks represents what they're solid on, what they can count on every time. Then comes the most important part: identifying the Big Bad Wolf—the scary thing, the elephant in the room that nobody wants to talk about but everyone knows is there. This format creates psychological safety to discuss the undiscussable. Darryl emphasizes two critical success factors for retrospectives: First, vary your formats. Teams that hear the same questions sprint after sprint will disengage, asking "why are you asking me again?" Different questions provide different lenses, generating fresh insights. Second, ensure actions come out of every retro. Nothing kills engagement faster than suggestions disappearing into the void. When people see their ideas lead to real changes, they'll eagerly return to the next retrospective. And don't forget to know your team—if they're sports fans, use sports retros; if they're scientists, use space exploration themes. Just don't make the mistake of running a "sailboat retro" with retiring mainframe engineers who'll ask if you think they're kindergarten children. For more retrospective formats, check out Retromat. [The Scrum Master Toolbox Podcast Recommends]

Darryl Wright: Why AI Adoption Will Fail Just Like Agile Did—Unless We Change Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "People are looking to AI to solve their problems, and they're doing it in the same way that they previously looked to Agile to solve their problems for them. The problem with that is, of course, that Agile doesn't solve problems for you. What it does is it shines a light on where your problems are." - Darryl Wright The world has gone AI crazy, and Darryl sees history repeating itself in troubling ways. Organizations are rushing to adopt AI with the same magical thinking they once applied to Agile—believing that simply implementing the tool will solve their fundamental problems. But just as Agile reveals problems rather than solving them, AI will do the same. Worse, AI threatens to accelerate existing problems: if you have too many things moving at once, AI won't fix that, it will amplify the chaos. If you automate a bad process, you've simply locked in badness at higher speed. As Darryl points out, when organizations don't understand that AI requires them to still do the hard work of problem-solving, they're setting themselves up for disillusionment, and in five or twenty years, we'll hear "AI is dead" just like we now hear "Agile is dead." The challenge for Scrum Masters and Agile coaches is profound: how do you help people with something they don't know they need? The answer lies in returning to first principles. Before adopting any tool—whether Agile or AI—organizations must clearly define the problem they're trying to solve. As Einstein reportedly said, "If I had an hour to solve a problem, I'd spend 55 minutes thinking about the problem and 5 minutes thinking about solutions." Value stream mapping becomes essential, allowing teams to visualize where humans and AI agents should operate, with clear handovers and explicit policies. The cognitive load on software teams will increase dramatically as AI generates more code, more options, and more complexity. Without clear thinking about problems and deliberate design of systems, AI adoption will follow the same disappointing trajectory as many Agile adoptions—lots of activity, little improvement, and eventually, blame directed at the tool rather than the system. Self-reflection Question: Are you adopting AI to solve a clearly defined problem, or because everyone else is doing it? If you automated your current process with AI, would you be locking in excellence or just accelerating dysfunction? [The Scrum Master Toolbox Podcast Recommends]

Darryl Wright: The Agile Team That Committed to Failure for 18 Sprints Straight Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "As Deming said, a bad system will beat a good person every time." - Darryl Wright Darryl was called in to help a struggling team at a large energy retailer. The symptoms seemed straightforward—low morale, poor relationships, and chronic underdelivery. But as he asked questions, a heartbreaking pattern emerged. The team had been "committing" to 110 story points per sprint while consistently delivering only 30. For 18 sprints. When Darryl asked why the team would commit to numbers they couldn't possibly achieve, the answer was devastating: "The business needs that much." This wasn't a problem of skill or capability—it was learned helplessness in action. Sprint after sprint, the team experienced failure, which made them more despondent and less effective, creating a vicious downward spiral. The business lost trust, the team lost confidence, and everyone was trapped in a system that guaranteed continued failure. When Darryl proposed the solution—committing to a realistic 30 points—he was told it was impossible because "the business needs 110 points." But the business wasn't getting 110 points anyway. They were getting broken promises, a demoralized team, stress leave, high churn, and a relationship built on distrust. Darryl couldn't change the system in that case, but the lesson was clear: adult people who manage their lives perfectly well outside work can become completely helpless inside work when the system repeatedly tells them their judgment doesn't matter. As Ricardo Semler observes in Maverick!, people leave their initiative at the door when organizations create systems that punish honest assessment and reward false promises. Self-reflection Question: Is your team committing to what they believe they can achieve, or to what they think someone else wants to hear? What would happen if they told the truth? Featured Book of the Week: Better Value, Sooner, Safer, Happier by Jonathan Smart Darryl describes Better Value, Sooner, Safer, Happier by Jonathan Smart as a treasure trove of real-life experience from people who have "had their sleeves rolled up in the trenches" for decades. What he loves most is the authenticity—the authors openly share not just their successes, but all the things that didn't work and why. One story that crystallizes the book's brilliance involves Barclays Bank and their ingenious approach to change adoption. Facing resistance from laggards who refused to adopt Agile improvements despite overwhelming social proof, they started publishing lists of "most improved teams." When resisters saw themselves at the bottom of these public lists, they called to complain—and were asked, "Did you have improvements we didn't know about?" The awkward pause would follow, then the inevitable question: "How do I get these improvements?" Demand creation at its finest. Darryl particularly appreciates that the authors present at conferences saying, "Let me tell you about all the things we've stuffed up in major agile transformations all around the world," bringing genuine humility and practical wisdom to every page. [The Scrum Master Toolbox Podcast Recommends]

Darryl Wright: When Enthusiasm Became Interference—Learning to Listen as a Scrum Master Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "Wait stands for Why Am I Talking? Just ask yourself, wait, why am I talking? Is this the right moment for you to give an idea, or is this the right moment to just listen and let them have space to come up with ideas?" - Darryl Wright   Early in his Agile journey, Darryl was evangelically enthusiastic about the principles and practices that had transformed his approach to leadership. He believed he had discovered the answers people were seeking, and his excitement manifested in a problematic pattern—he talked too much. Constantly jumping in with solutions, ideas, and suggestions, Darryl dominated conversations without realizing the impact. Then someone pulled him aside with a generous gift: "You're not really giving other people time to come up with ideas or take ownership of a problem."  They introduced him to WAIT—Why Am I Talking?—an acronym that would fundamentally shift his coaching approach. This simple tool forced Darryl to pause before speaking and examine his motivations. Was he trying to prove himself? Did he think he knew better? Or was this genuinely the right moment to contribute? As he practiced this technique, Darryl discovered something profound: when he held space and waited, others would eventually step forward with insights and solutions.  The concept of "small enough to try, safe enough to fail" became his framework for deciding when to intervene. Not every moment requires a Scrum Master to step in—sometimes the most powerful coaching happens in silence. By developing better skills in active listening and learning to hold space for others, Darryl transformed from someone who provided all the answers into someone who created the conditions for shared leadership to emerge.   In this episode, we refer to David Marquet's episodes on the podcast for practical techniques on holding space and enabling leadership in others.   Self-reflection Question: When was the last time you caught yourself jumping in with a solution before giving your team space to discover it themselves? What would happen if you waited just five more minutes?   [The Scrum Master Toolbox Podcast Recommends]

Alex Sloley: How to Coach POs Who Treat Developers Like Mindless Robots In this episode, we refer to the previous episodes with David Marquet, author of Turn the Ship Around! The Great Product Owner: Trust and the Sprint Review That Changes Everything Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "She was like, oh my gosh, I've never seen this before, I didn't think it was possible. I just saw you deliver stuff in 2 weeks that I can actually use." - Alex Sloley In 2011, Alex worked with a client organization creating software for external companies. They needed a Product Owner for a new Agile team, and a representative from the client—who had never experienced Scrum—volunteered for the role. She was initially skeptical, having never witnessed or heard of this approach. Alex gently coached her through the process, asking her to trust the team and be patient. Then came the first Sprint Review, and everything changed. For the first time in her career, she saw working product delivered in just two weeks that she could actually touch, see, and use. Her head exploded with possibility. Even though it didn't have everything and wasn't perfect, it was remarkably good. That moment flipped a switch—she became fully engaged and transformed into a champion for Agile adoption, not just for the team but for the entire company. Alex reflects that she embodied all five Scrum values: focus (trusting the team's capacity), commitment (attending and engaging in all events), openness (giving the new approach a chance), respect (giving the team space to succeed), and courage (championing an unfamiliar process). The breakthrough wasn't about product ownership techniques—it was about creating an experience that reinforced Scrum values, allowing her to see the potential of a bright new future. Self-reflection Question: What practices, techniques, or processes can you implement that will naturally and automatically build the five Scrum values in your Product Owner? The Bad Product Owner: When Control Becomes Domination Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "They basically just owned the team. The developers on the team might as well have been mindless robots, because they were being assigned all the work, told how much work they could do in a sprint, what the work was." - Alex Sloley In 2018, while working with five interconnected Product Owners, Alex observed a Sprint Planning session that revealed a severe anti-pattern. One Product Owner completely controlled everything, telling the team exactly what work they would take into the Sprint, assigning specific work to specific people by name, and dictating precisely how they would implement solutions down to technical details like which functions and APIs to use. The developers were reduced to helpless executors with no autonomy, while the Scrum Master sat powerless in the corner. Alex wondered what caused this dynamic—was the PO a former project manager? Had the team broken trust in the past? What emotional baggage or trauma led to this situation? His approach started with building trust through coffee meetings and informal conversations, crucially viewing the PO not as the problem but as someone facing their own impediment. He reframed the challenge as solving the Product Owner's problem rather than fixing the Product Owner. When he asked, "Why do you have to do all this? Can't you trust the team?" and suggested the PO could relax if they delegated, the response was surprisingly positive. The PO was willing to step back once given permission and assurance. Alex's key lesson: think strategically about how to build trust and who needs to build trust with whom. Sometimes the person who appears to be creating problems is actually struggling under their own burden. Self-reflection Question: When you encounter a controlling Product Owner, do you approach the situation as "fixing" the PO or as "solving the PO's problem"? How might this reframe change your coaching strategy? [The Scrum Master Toolbox Podcast Recommends]

Alex Sloley: Why Sticky Notes Are Your Visualization Superpower in Retrospectives Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "Like the smell, the vibe is something you feel. If you're having a successful impact on the organization or on teams as a Scrum Master, you can feel it, you can smell it. It's intangible." - Alex Sloley Alex introduces a compelling concept from Sumantra Ghoshal about "the smell of the workplace"—you can walk into an environment and immediately sense whether it smells like fresh strawberries and cream or a dumpster fire. In Australia, there's a cultural reference from the movie "The Castle" about "the vibe of the thing," and Alex emphasizes that as a successful Scrum Master, you can feel and smell when you're having an impact. While telling executives you're measuring "vibe" might be challenging, Alex shares three concrete ways he's measured success. The key insight is that success isn't always measurable in traditional ways, but successful Scrum Masters develop an intuition for sensing when their work is making a meaningful difference. Self-reflection Question: Can you articulate the "vibe" or "smell" of your current team or organization? What specific indicators tell you whether your Scrum Master work is truly making an impact beyond the metrics? Featured Retrospective Format for the Week: Sticky Notes for Everything Alex champions any retrospective format that includes sticky notes, calling them a "visualization superpower." With sticky notes, teams can visualize anything—the good, the bad, improvements, options, possibilities, and even metrics. They make information transparent, which is critical for the inspect-and-adapt cycle that forms the heart of Scrum. Alex emphasizes being strategic about visualization: identify a challenge, figure out how to make it visual, and then create experiments around that visualization. Once something becomes visible, magic happens because the team can see patterns they've never noticed before. You can use different sizes, colors, and positions to visualize constraints in the system, including interruptions, unplanned work, blocker clustering, impediments, and flow. This approach works not just in retrospectives but in planning, reviews, and daily scrums. The key principle is that you must have transparency in order to inspect, and you must inspect to adapt. Alex's practical advice: be strategic about what you choose to visualize, involve the team in determining how to make challenges visible, and watch as the transparency naturally leads to insights and improvement ideas. [The Scrum Master Toolbox Podcast Recommends]

Alex Sloley: Coaching Teams Trapped Between Agile Aspirations and Organizational Control Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "The team says, oh, we want to try to do things this way, and the org keeps coming back and saying stuff like, no, no, no, you can't do that, because in this org, we don't allow that." - Alex Sloley Alex shares his current challenge working with a 10-person pilot Scrum team within a 1,500-person organization that has never done Agile before. While the team appears open-minded and eager to embrace agile ways of working, the organization continuously creates impediments by dictating how the team must estimate, break down work, and operate. Management tells them "the right way" to do everything, from estimation techniques to role-based work assignments, even implementing RACI matrices that restrict who can do what type of work. Half the team has been with the organization for six months or less, making it comfortable to simply defer to authority and follow organizational rules. Through coaching conversation, Alex explores whether the team might be falling into learned helplessness or simply finding comfort in being told what to do—both positions that avoid accountability. His experimental approach includes designing retrospective questions to help the team reflect on what they believe they're empowered to do versus what management dictates, and potentially using delegation cards to facilitate conversations about decision-making authority. Alex's key insight is recognizing that teams may step back from empowerment either out of fear or comfort, and identifying which dynamic is at play requires careful, small experiments that create safe spaces for honest dialogue. Self-reflection Question: When your team defers to organizational authority, are they operating from learned helplessness, comfort in avoiding accountability, or genuine respect for hierarchy? How can you design experiments to uncover the real dynamic at play? [The Scrum Master Toolbox Podcast Recommends]

Alex Sloley: When Toxic Leadership Creates Teams That Self-Destruct Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "They would take notes at every team meeting, so that later on they could argue with team members about what they committed to, and what they said in meetings." - Alex Sloley Alex recounts working with a small team where a project manager created such a toxic environment that one new hire quit after just eight hours on the job. This PM would belittle team members publicly, take detailed notes to use as weapons in contract negotiations, and dominate the team through intimidation. The situation became so severe that one team member sent an email that sounded like a suicide note. When the PM criticized Alex's "slide deck velocity," comparing four slides per 15 minutes to Alex's one, he realized the environment was beyond salvaging. Despite coaching the team and attempting to introduce Scrum values, Alex ultimately concluded that management was encouraging this behavior as a control mechanism. The organization lacked trust in the team, creating learned helplessness where team members became submissive and unable to resist. Sometimes, the most important lesson for a Scrum Master is recognizing when a system is too toxic to change and having the courage to walk away. Alex emphasizes that respect—one of the core Scrum values—was completely absent, making any meaningful transformation impossible. In this segment, we talk about “learned helplessness”.  Self-reflection Question: How do you recognize when a toxic environment is being actively encouraged by the system rather than caused by individual behavior? What are the signs that it's time to exit rather than continue fighting? Featured Book of the Week: The Goal by Eliyahu M. Goldratt Alex describes his complex relationship with The Goal by Goldratt—it both inspires and worries him. He struggles with the text because the concepts are so deep and meaningful that he's never quite sure he's fully understood everything Goldratt was trying to convey. The book was difficult to read, taking him four times longer than other agile-related books, and he had to reread entire sections multiple times. Despite the challenge, the concepts around Theory of Constraints and systems thinking have stayed with him for years. Alex worries late at night that he might have missed something important in the book.  He also mentions reading The Scrum Guide at least once a week, finding new tidbits each time and reflecting on why specific segments say what they say. Both books share a common thread—the text that isn't in the text—requiring readers to dig deeper into the underlying principles and meanings rather than just the surface content. [The Scrum Master Toolbox Podcast Recommends]

Alex Sloley: The Sprint Planning That Wouldn't End - A Timeboxing Failure Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "Although I knew about the steps of sprint planning, what I didn't really understand was the box of time versus the box of scope." - Alex Sloley Alex shares a critical learning moment from his first team as a Scrum Master. After six months in the role, during an eight-hour sprint planning session for a four-week sprint, he successfully completed the "what" portion but ran out of time before addressing "how." Rather than respecting the timebox, Alex forced the team to continue planning for another four hours the next day—blowing the timebox by 50%. This experience taught him a fundamental lesson: the difference between scope-boxing and timeboxing. In waterfall, we try to control scope while time slips away. In Scrum, we fix time and let scope adjust. Alex emphasizes that timeboxing isn't just about keeping meetings short—it's about limiting work in process and maintaining focus. His practical tip: use visible timers to train yourself and your teams to respect timeboxes. This mindset shift from controlling scope to respecting time remains one of the most important lessons for Scrum Masters. Self-reflection Question: How often do you prioritize completing a planned agenda over respecting the timebox? What message does this send to your team about the values you're reinforcing? [The Scrum Master Toolbox Podcast Recommends]

BONUS: The Evolution of Agile - From Project Management to Adaptive Intelligence, With Mario Aiello In this BONUS episode, we explore the remarkable journey of Mario Aiello, a veteran agility thinker who has witnessed and shaped the evolution of Agile from its earliest days. Now freshly retired, Mario shares decades of hard-won insights about what works, what doesn't, and where Agile is headed next. This conversation challenges conventional thinking about methodologies, certifications, and what it truly means to be an Agile coach in complex environments. The Early Days: Agilizing Before Agile Had a Name "I came from project management and project management was, for me, was not working. I used to be a wishful liar, basically, because I used to manipulate reports in such a way that would please the listener. I knew it was bullshit." Mario's journey into Agile began around 2001 at Sun Microsystems, where he was already experimenting with iterative approaches while the rest of the world was still firmly planted in traditional project management. Working in Palo Alto, he encountered early adopters discussing Extreme Programming and had an "aha moment" - realizing that concepts like short iterations, feedback loops, and learning could rescue him from the unsustainable madness of traditional project management. He began incorporating these ideas into his work with PRINCE2, calling stages "iterations" and making them as short as possible. His simple agile approach focused on: work on the most important thing first, finish it, then move to the next one, cooperate with each other, and continuously improve. The Trajectory of Agile: From Values to Mechanisms "When the craze of methodologies came about, I started questioning the commercialization and monetization of methodologies. That's where things started to get a little bit complicated because the general focus drifted from values and principles to mechanisms and metrics." Mario describes witnessing three distinct phases in Agile's evolution. The early days were authentic - software developers speaking from the heart about genuine needs for new ways of working. The Agile Manifesto put important truths in front of everyone. However, as methodologies became commercialized, the focus shifted dangerously away from the core values and principles toward prescriptive mechanisms, metrics, and ceremonies. Mario emphasizes that when you focus on values and principles, you discover the purpose behind changing your ways of working. When you focus only on mechanics, you end up just doing things without real purpose - and that's when Agile became a noun, with people trying to "be agile" instead of achieving agility. He's clear that he's not against methodologies like Scrum, XP, SAFe, or LeSS - but rather against their mindless application without understanding the essence behind them. Making Sense Before Methodology: The Four-Fit Framework "Agile for me has to be fit for purpose, fit for context, fit for practice, and I even include a fourth dimension - fit for improvement." Rather than jumping straight to methodology selection, Mario advocates for a sense-making approach. First, understand your purpose - why do you want Agile? Then examine your context - where do you live, how does your company work? Only after making sense of the gap between your current state and where the values and principles suggest you should be, should you choose a methodology. This might mean Scrum for complex environments, or perhaps a flow-based approach for more predictable work, or creating your own hybrid. The key insight is that anyone who understands Agile's principles and values is free to create their own approach - it's fundamentally about plan, do, inspect, and adapt. Learning Through Failure: Context is Paramount "I failed more often than I won. That teaches you - being brave enough to say I failed, I learned, I move on because I'm going to use it better next time." Mario shares pivotal learning moments from his career, including an early attempt to "agilize PRINCE2" in a command-and-control startup environment. While not an ultimate success, this battle taught him that context is paramount and cannot be ignored. You must start by understanding how things are done today - identifying what's good (keep doing it), what's bad (try to improve it), and what's ugly (eradicate it to the extent possible). This lesson shaped his next engagement at a 300-person organization, where he spent nearly five months preparing the organizational context before even introducing Scrum. He started with "simple agile" practices, then took a systems approach to the entire delivery system. A Systems Approach: From Idea to Cash "From the moment sales and marketing people get brilliant ideas they want built, until the team delivers them into production and supports them - all that is a system. You cannot have different parts finger-pointing." Mario challenges the common narrow view of software development systems. Rather than focusing only on prioritization, development, and testing, he advocates for considering everything that influences delivery - from conception through to cash. His approach involved reorganizing an entire office floor, moving away from functional silos (sales here, marketing there, development over there) to value stream-based organization around products. Everyone involved in making work happen, including security, sales, product design, and client understanding, is part of the system. In one transformation, he shifted security from being gatekeepers at the end of the line to strategic partners from day one, embedding security throughout the entire value stream. This comprehensive systems thinking happened before formal Scrum training began. Beyond the Job Description: What Can an Agile Coach Really Do? "I said to some people, I'm not a coach. I'm just somebody that happens to have experience. How can I give something that can help and maybe influence the system?" Mario admits he doesn't qualify as a coach by traditional standards - he has no formal coaching qualifications. His coaching approach comes from decades of Rugby experience and focuses on establishing relationships with teams, understanding where they're going, and helping them make sense of their path forward. He emphasizes adaptive intelligence - the probe, sense, respond cycle. Rather than trying to change everything at once and capsizing the boat, he advocates for challenging one behavior at a time, starting with the most important, encouraging adaptation, and probing quickly to check for impact of specific changes. His role became inviting people to think outside the box, beyond the rigidity of their training and certifications, helping individuals and teams who could then influence the broader system even when organizational change seemed impossible. The Future: Adaptive Intelligence and Making Room for Agile "I'm using a lot of adaptive intelligence these days - probe, sense, respond, learn and adapt. That sequence will take people places." Looking ahead, Mario believes the valuable core of Agile - its values and principles - will remain, but the way we apply them must evolve. He advocates for adaptive intelligence approaches that emphasize sense-making and continuous learning rather than rigid adherence to frameworks. As he enters retirement, Mario is determined to make room for Agile in his new life, seeking ways to give back to the community through his blog, his new Substack "Adaptive Ways," and by inviting others to think differently. He's exploring a "pay as you wish" approach to sharing his experience, recognizing that while he may not be a traditional coach or social media expert, his decades of real-world experience - with its failures and successes - holds value for those still navigating the complexity of organizational change. About Mario Aiello Retired from full-time work, Mario is an agility thinker shaped by real-world complexity, not dogma. With decades in VUCA environments, he blends strategic clarity, emotional intelligence, and creative resilience. He designs context-driven agility, guiding teams and leaders beyond frameworks toward genuine value, adaptive systems, and meaningful transformation. You can link with Mario Aiello on LinkedIn, visit his website at Agile Ways.

Renee Troughton: Analytics From Day One and Four Other Principles of Great POs Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "Product owners who think about their products as just a backlog that I prioritize, and I get some detailed requirements from stakeholders, and I give that to the team... that's not empowering the team. And it's probably leading you to building the wrong thing, just faster." The Bad Product Owner: The Backlog Manager Without Vision Renee describes a pattern of Product Owners who don't understand product management—they lack roadmaps, strategy, and never speak to customers. These POs focus solely on backlogs, prioritizing detailed requirements from stakeholders without testing hypotheses or learning about their market. Taking an empathetic view, Renee notes these individuals may have fallen into the role without passion, never seeing what excellence looks like, and struggling with extreme time poverty. Product ownership is one of the hardest roles from a time perspective—dealing with legislative requirements, compliance, risk, fail-and-fix work, and constant incoming demands. Drowning in day-to-day urgency, they lack breathing space for strategic thinking.  These POs also struggle with vulnerability, feeling they should have all answers as leaders, making it difficult to admit knowledge gaps. Without organizational safety to fail, they can't demonstrate the confidence balanced with humility needed to test hypotheses and potentially be wrong. The result is building the wrong thing faster, without empowering teams or creating real value. Self-reflection Question: Are you managing your Product Owners' workload and supporting their strategic thinking time, or are you allowing them to drown in tactical work that prevents them from truly leading their products? The Great Product Owner: Analytics from Day One and Market Awareness "They really iterated, I think, 5 key principles quite consistently... the one thing that did really shape my thinking at that time was... Analytics from day one." Renee celebrates a Chief Product Owner who led 13 teams with extraordinary effectiveness. This PO consistently communicated five key principles, with "analytics from day one" being paramount—emphasizing the critical need to know immediately if new features work and understanding customer behavior from launch. This PO demonstrated deep market awareness, regularly spending time in Silicon Valley, understanding innovation trends and where the industry was heading. They maintained a clear product vision and could powerfully sell the dream to stakeholders.  Perhaps most impressively, they brought urgency during a competitive "space race" situation when a former leader left with intellectual property to build a competing product. Despite this pressure, they never allowed compromise on quality—rallying teams with mission and purpose while maintaining standards. This combination of strategic vision, market knowledge, data-driven decision-making, and balanced urgency created an environment where teams delivered excellence under competitive pressure. [The Scrum Master Toolbox Podcast Recommends]

Renee Troughton: From Lower-Order to Higher-Order Values in Scrum Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "If you, as a senior leader, demonstrate vulnerability, it creates real magic in an organization where others can open up and be their authentic self." Renee defines success for Scrum Masters through deeply human values: integrity, holding her truth, being compassionately authentic, caring, open, honest, listening, and vulnerable. She emphasizes that vulnerability as a senior leader creates transformative magic in organizations, allowing others to bring their authentic selves to work. Drawing on Byron Katie's "Loving What Is" and Frederick Laloux's "Reinventing Organizations," Renee explains that many corporate organizations focus on lower-order values like results and performance, while more autonomous organizations prioritize higher-order values rooted in the heart. When having conversations with people, Renee connects with them as human beings first—not rushing to business if someone is struggling personally. Success means seeing people completely for who they are, not as resources to be changed or leveraged. The foundation for collaboration, empowerment, and autonomy is trust, respect, and safety. Renee emphasizes that without these fundamental values in place, everything else implodes. She demonstrates how vulnerability, active listening, and accepting people where they are creates the fertile ground for successful teams and organizations. Self-reflection Question: Do you demonstrate vulnerability as a leader, creating space for others to bring their authentic selves to work, or do you hide behind a professional facade that prevents genuine human connection? Featured Retrospective Format for the Week: Themed Retrospectives (Monopoly, Sports, Current Events) "It gave a freshness to it. And it gave almost like a livelihood or a joyfulness to it as an activity as well." Renee recommends themed retrospectives like the Monopoly Retro or sports-themed formats that use current events or cultural references (aka metaphor retrospectives). While working at a consultancy, they would theme retrospectives every week around different topics—football, news events, or various scenarios—using collages of pictures showing different emotions (upset, angry, happy). Team members would identify with feelings and reframe their week within the theme's context, such as "it was a rough game" or "we didn't score enough goals." The brilliance of this approach is covering the same retrospective questions while bringing freshness, creativity, and joyfulness to the activity. These metaphorical formats allow teams to verbalize things that aren't easily expressible in structured formats, triggering different perspectives and creative thinking. The format stays consistent while feeling completely new, maintaining engagement while avoiding retrospective fatigue. [The Scrum Master Toolbox Podcast Recommends]

Renee Troughton: Managing Dependencies and Downstream Bottlenecks in Scrum Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "For the actual product teams, it's not a problem for them... It's more the downstream teams that aren't the product teams, that are still dependencies... They just don't see that work until, hey, we urgently need this." Renee brings a dual-edged challenge from her current work with dozens of teams across multiple business lines. While quarterly planning happens at a high level, small downstream teams—middleware, AI, data, and even non-technical teams like legal—are not considered in the planning process. These teams experience unexpected work floods with dramatic peaks and troughs throughout the quarter. The product teams are comfortable with ambiguity and incremental delivery, but downstream service teams don't see work coming until it arrives urgently. Through a coaching conversation, Renee and Vasco explore multiple experimental approaches: top-to-bottom stack ranking of initiatives, holding excess capacity based on historical patterns, shared code ownership where downstream teams advise rather than execute changes, and using Theory of Constraints to manage flow into bottleneck teams. They discuss how lack of discovery work compounds the problem, as teams "just start working" without identifying all players who need involvement. The solution requires balancing multiple strategies while maintaining an experimentation mindset, recognizing that complex systems require sensing our way toward solutions rather than predicting them. Self-reflection Question: Are you actively managing the flow of work to prevent downstream bottlenecks, or are you allowing your "downstream teams" to be repeatedly overwhelmed by last-minute urgent requests? [The Scrum Master Toolbox Podcast Recommends]

Renee Troughton: The Hidden Cost of Constant Restructuring in Agile Organizations Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "Trust and safety are the most fundamental foundations of a team to perform. And so you are just breaking the core of teams when you're doing this." Renee challenges us to look beyond team dysfunction and examine the "dirty little secrets" in organizations—leadership-driven anti-patterns that destroy team performance. She reveals a cyclical pattern of constant restructuring that occurs every six months in many organizations, driven by leaders who avoid difficult performance management conversations and instead force people through redundancy rounds. This creates a cascade of fear, panic, and victim mindset throughout the organization. Beyond restructuring, Renee identifies other destructive patterns including the C-suite shuffle (where new CEOs bring in their own teams, cascading change throughout the organization) and the insourcing/outsourcing swings that create chaos over 5-8 year cycles. These high-level decisions drain productivity for months as teams storm and reform, losing critical knowledge and breaking the trust and safety that are fundamental for high performance. Renee emphasizes that as Agile coaches and Scrum Masters, we often don't feel empowered to challenge these decisions, yet they represent the biggest drain on organizational productivity. Self-reflection Question: Have you identified the cyclical organizational anti-patterns in your workplace, and do you have the courage to raise these systemic issues with senior leadership? Featured Book of the Week: Loving What Is by Byron Katie "It teaches you around how to reframe your thoughts in the day-to-day life, to assess them in a different light than you would normally perceive them to be." Renee recommends "Loving What Is" by Byron Katie as an essential tool for Scrum Master introspection. This book teaches practical techniques for reframing thoughts and recognizing that problems we perceive "out there" are often internal framing issues. Katie's method, called "The Work," provides a worksheet-based approach to introspection that helps identify when our perceptions create unnecessary suffering. Renee also highlights Marshall Rosenberg's "Nonviolent Communication" as a companion book, which uses language to tap into underlying emotions and needs. Both books offer practical, actionable techniques for self-knowledge—a critical skill for anyone in the Scrum Master role. The journey these books provide leads to inner peace through understanding that many challenges stem from how we internally frame situations rather than external reality. We have many episodes on NVC, Nonviolent Communication, which you can dive into and learn from experienced practitioners.  [The Scrum Master Toolbox Podcast Recommends]

Renee Troughton: How to Navigate Mandatory Deadlines in Scrum Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "I said to the CIO at the time, we're not going to hit this. In fact, we'll be... I can actually tell you, we're gonna be 3 weeks late... And he said: ‘Just make it work!'" Renee shares a powerful story from her work on a mandatory legislative compliance project where reality clashed with executive expectations. Working with a team new to Agile, she carefully established velocity over two sprints and projected the delivery timeline. The challenge intensified when sales continued promising bespoke features to clients while the deadline remained fixed. Despite transparently communicating the team would miss the mandatory date by three weeks, leadership demanded she "just make it work" without providing solutions. Renee found herself creating a misleading burn-up chart to satisfy executive confidence, while the organization played a dangerous game of chicken—waiting for another implementer to admit delays first. This experience taught her the critical importance of courage in conversations with leaders and the need to clearly separate business decisions from development team responsibilities. Sometimes the best we can do is provide transparency and let leaders own the consequences of their choices. In this episode, we refer to the seminal book on large projects: The Mythical Man Month, by Frederick Brooks. Self-reflection Question: When faced with unrealistic demands from leadership, do you have the courage to maintain transparency about your team's reality, even when it means refusing to create false artifacts of confidence? [The Scrum Master Toolbox Podcast Recommends]

BONUS: Consulting is Different—How Consulting Contracts Work Against Agile Development, With Jakob Wolman and Wilko Nienhaus  In this BONUS episode, we explore the critical differences between building software as a consultant versus inside a product company. Jakob Wolman contributed an insightful article to the Global Agile Summit book examining how third-party software development operates under entirely different constraints than in-house product development. Joined by Wilko Nienhaus, CTO of Vaimo, a consulting company in Estonia, we dive into ownership dynamics, misaligned incentives, contracting challenges, and the business pressures that shape consulting—along with practical stories from the field about what really works. The Cobbler's Shoes Problem "I come back to the office from this workshop, and suddenly, with these eyes on looking for improvements in process, I just suddenly am hit by this revelation of why things are so slow here? Why are we working so inefficiently?" Jakob describes the striking paradox many consultancies face: they excel at helping clients improve their processes while their own internal operations remain inefficient. This "shoemaker's children" phenomenon reflects a fundamental challenge in consulting—the difficulty of investing in your own improvements when all energy flows toward billable client work. Digital agencies often have outdated or poorly implemented websites despite building sophisticated solutions for others, illustrating how consultancies struggle to apply their own expertise internally. Misaligned Incentives Create Antagonistic Dynamics "It's almost as if the clients are actually paying us to be slow, because our incentive is to spend more time on achieving what the client wants, because we get paid by the hour." The incentive structures in consulting create inherent conflicts that don't exist in product companies. Consultants typically bill by the hour, creating a perverse incentive to spend more time rather than deliver efficiently. Meanwhile, clients pursue business outcomes and want results as quickly and cheaply as possible. This fundamental misalignment leads to: Clients adopting a procurement mindset, treating software development like ordering from a catalog A "wall" between stakeholders and development teams that's even stronger than in product companies Antagonistic relationships where scope changes feel like financial traps rather than necessary learning Contracting processes that reinforce waterfall thinking even when both parties claim to want agility Wilko emphasizes that contracting has a huge impact on these dynamics, and companies must deliberately change their engagement models to break free from these patterns. The Budgeting Trap and Specification Overload "Because of this budgeting process where you now need to motivate what this budget does, or you need to spend that budget, you essentially create this necessity to define everything." Consulting projects often suffer from the same problem that plagued waterfall development: annual budgeting cycles that force stakeholders to cram everything into a single specification. When there's only one chance per year to secure funding, everyone stuffs the requirements document with every conceivable feature, leading to: Massive specifications that attempt to predict all needs upfront Endless discovery meetings and documentation that add cost without improving outcomes Developers working from outdated assumptions with delayed feedback Clients who don't really know what they want but feel pressured to specify everything Jakob points out the frustration that "we've already fixed this problem" in product development through iterative approaches, yet it keeps reappearing in consulting because of the separation between entities. Ownership and Quality in Consulting Environments "Skilled engineers will be frustrated if they're not allowed to do a proper job. People that have spent a lot of time in an environment where they're never allowed to do a proper job, or maybe even punished for doing a proper job, they will have given up, and not care." The difference in ownership between product and consulting development profoundly affects how engineers think about quality, technical debt, and long-term design. In product companies, developers know they'll maintain their code, creating natural incentives for quality. In consulting, the transient nature of engagements can erode quality standards. Key challenges include: Engineers knowing they won't return to the codebase, reducing long-term thinking Clients who lack technical expertise dictating approaches they don't understand Pressure to complete fixed-scope contracts regardless of quality trade-offs The role of estimates in forcing teams to "just complete this thing" even when learning suggests changes Wilko notes that teams controlled by clients versus teams managed as stable units by the consultancy show markedly different levels of ownership and engagement. Engineers want to do great work, but without real-world feedback loops, they may either overengineer based on theoretical ideals or give up on quality entirely. Breaking the Cycle: Going Live in Two Weeks "We said to them, what if we try to actually go live in a single sprint, which in most companies is 2 weeks. And they were like, nah, we're not so sure. And we said, don't worry, you're going to get everything you want in your scope by the end. But just let's try these first 2 weeks." Wilko shares a transformative story about an e-commerce project where his team convinced a client to abandon their two-year roadmap and instead focus on going live with something—anything—in two weeks. The goal: enable one existing customer to place one order for one product they already knew. This constraint forced radical prioritization. The team didn't need images, extensive product catalogs, or elaborate descriptions. They delivered a minimal but functioning system, and the results were revelatory: The client's internal discussion shifted from "we need everything" to "what should we prioritize next?" Real customer interaction revealed unexpected problems, like internal incentive conflicts where salespeople wouldn't direct customers to the website because it threatened their commissions Senior leadership embraced the iterative approach more readily than middle management The faster feedback cycle enabled genuine agility even in a consulting context This story demonstrates that iterative approaches are more likely to lead to success in consulting, and that senior leadership is often more receptive to faster feedback cycles than people expect. The key is changing the dynamic from "deliver a complete spec" to "let's go live quickly and learn." AI as a Game-Changer for Consulting Dynamics "The groundbreaking thing that's happening right now is AI, and it really feeds into this direction. Because instead of speaking, you can actually be building, you can see things, you can do stuff that you can really test in a much more real way than you could just a few years ago." Both Jakob and Wilko see artificial intelligence as a potential solution to many consulting challenges. AI tools enable rapid prototyping and visualization, allowing teams to show rather than tell. This addresses the fundamental problem that clients don't know what they want until they see it, by dramatically reducing the cost of creating tangible demonstrations that generate meaningful feedback. If you want to know more about how AI is reshaping programming, check out our AI Assisted Coding series of episodes.  Quality and Testing Should Not Be Negotiable "I just simply think it shouldn't be a choice. We have to be very firm on this is how we work. We are the experts you are paying us." When clients ask to skip testing, reduce code reviews, or cut corners on infrastructure, Jakob argues consultancies must stand firm. Quality practices shouldn't be line items that clients can negotiate away. One consulting company that works strictly with Extreme Programming principles demonstrates this approach—they don't explain every detail to clients, but they clearly establish that "this is how we do all our projects. It's not a choice." Wilko adds that testing often saves time rather than adding cost, serving as a development tool that eliminates repetitive manual verification. The challenge comes during estimation, where padding for testing can make consultancies less competitive, creating pressure to compromise on quality. Jakob emphasizes that some responsibility lies with consultancies themselves, which sometimes over-promise and underbid to win business, then struggle to deliver quality within unrealistic constraints. This "race to the bottom" hurts the entire industry. The Path Forward: Deliberate Collaboration "It is fixable in a consultancy setting as well. I've seen it. I've been part of it. But you have to be very deliberate in your collaboration with the customer." Success in consulting requires deliberately designing the engagement model to support iterative development: Working backward from customer needs, not forward from specifications Establishing short feedback loops with both client stakeholders and end users Creating stable teams rather than assembling ad-hoc groups based on client requests Changing contracting models to align incentives (as explored in Sven Ditz's article in the Global Agile Summit book on delivering incrementally) Being firm about quality practices while remaining flexible about features Using AI and rapid prototyping to generate early, concrete feedback The consulting model doesn't have to default to waterfall, but it requires conscious effort to overcome the structural forces pushing in that direction. Recommended Reading In this episode, we refer to multiple resources for further reading. Here's a list of those resources:  Secrets of Consulting by Gerald Weinberg The Global Agile Summit book, including articles by the speakers at the conference Real World Agility by Daniel Gullo The #NoEstimates book by Vasco Duarte Extreme Programming principles About Jakob Wolman and Wilko Nienhaus Jakob Wolman is an experienced engineering leader who knows how to build great software, and how to mess it up. He has worked in both product companies and consulting environments, giving him unique insight into the contrasts between these models. You can connect with Jakob Wolman on LinkedIn. Wilko Nienhaus is CTO of Vaimo, a consulting company in Estonia, where he focuses on the challenges of delivering software in a consulting environment. He concentrates on delivery mechanisms and technical solutions for challenging projects. You can connect with Wilko Nienhaus on LinkedIn.

AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.

AI Assisted Coding: Pachinko Coding—What They Don't Tell You About Building Apps with Large Language Models, With Alan Cyment In this BONUS episode, we dive deep into the real-world experience of coding with AI. Our guest, Alan Cyment, brings honest perspectives from the trenches—sharing both the frustrations and breakthroughs of using AI tools for software development. From "Pachinko coding" addiction loops to "Mecha coding" breakthroughs, Alan explores what actually works when building software with large language models. From Thermomix Dreams to Pachinko Reality "I bought into the Thermomix coding promise—describe the whole website and it would spit out the finished product. It was a complete disaster." Alan started his AI coding journey with high expectations, believing he could simply describe a complete application and receive production-ready code. The reality was far different. What he discovered instead was an addictive cycle he calls "Pachinko coding" (Pachinko, aka Slot Machines in Japan)—repeatedly feeding error messages back to the AI, hoping each iteration would finally work, while burning through tokens and time. The AI's constant reassurances that "this time I fixed it" created a gambling-like feedback loop that left him frustrated and out of pocket, sometimes spending over $20 in API credits in a single day. The Drunken PhD with Amnesia "It felt like working with a drunken PhD with amnesia—so wise and so stupid at the same time." Alan describes the maddening experience of anthropomorphizing AI tools that seem brilliant one moment and completely lost the next. The key breakthrough came when he stopped treating the AI as a person and started seeing it as a function that performs extrapolations—sometimes accurate, sometimes wildly wrong. This mental shift helped him manage expectations and avoid the "rage coding" that came from believing the AI should understand context and maintain consistency like a human collaborator. Making AI Coding Actually Work "I learned to ask for options explicitly before any coding happens. Give me at least three options and tell me the pros and cons." Through trial and error, Alan developed practical strategies that transformed AI from a frustrating Pachinko machine into a useful tool: Ask for options first: Always request multiple approaches with pros and cons before any code is generated Use clover emoji convention: Implement a consistent marker at the start of all AI responses to track context Small steps and YAGNI principles: Request tiny, incremental changes rather than large refactoring Continuous integration: Demand the AI run tests and checks after every single change Explicit refactoring requests: Regularly ask for simplification and readability improvements Take two steps back: When stuck in a loop, explicitly tell the AI to simplify and start fresh Choose the right tech stack: Use technologies with abundant training data (like Svelte over React Native in Alan's experience) The Mecha Coding Breakthrough "When it worked, I felt like I was inside a Lego Mecha robot—the machine gave me superpowers, but I was still the one in control." Alan successfully developed a birthday reminder app in Swift in just one day, despite never having learned Swift. He made architectural decisions and guided the development without understanding the syntax details. This experience convinced him that AI represents a genuine new level of abstraction in programming—similar to the jump from assembly language to high-level languages, or from procedural to object-oriented programming. You can now think in English about what you want, while the AI handles the accidental complexity of syntax and boilerplate. The Cost Reality Check "People writing about vibe coding act like it's free. But many people are going to pay way more than they would have paid a developer and end up with empty hands." Alan provides a sobering cost analysis based on his experience. Using DeepSeek through Aider, he typically spends under $1 per day. But when experimenting with premium models like Claude Sonnet 3.5, he burned through $5 in just minutes. The benchmark comparisons are revealing: DeepSeek costs $4 for a test suite, DeepSeek R1 plus Sonnet costs $16, while Open AI's O1 costs $190. For non-developers trying to build complete applications through pure "vibe coding," the costs can quickly exceed what hiring a developer would cost—with far worse results. When Thermomix Actually Works "For small, single-purpose scripts that I'm not interested in learning about and won't expand later, the Thermomix experience was real." Despite the challenges, Alan found specific use cases where AI truly delivers on the "just describe it and it works" promise. Processing Zoom attendance logs, creating lookup tables for video effects, and other single-file scripts worked remarkably well. The pattern: clearly defined context, no need for ongoing maintenance, and simple enough to verify the output without deep code inspection. For these thermomix moments, AI proved genuinely transformative. The Pachinko Trap and Tech Stack Matters "It became way more stable when I switched to Svelte from React Native and Flutter, even following the same prompting practices. The AI is just more proficient in certain tech stacks." Alan discovered that some frameworks and languages work dramatically better with AI than others, likely due to the amount of training data available. His e-learning platform attempts with React Native and Flutter kept breaking, but switching to Svelte with web-based deployment became far more stable. This suggests a crucial strategy: choose mainstream, well-documented technologies when planning AI-assisted projects. From Coding to Living with AI Alan has completely stopped using traditional search engines, relying instead on LLMs for everything from finding technical documentation to getting recommendations for books based on his interests. While he acknowledges the risk of hallucinations, he finds the semantic understanding capabilities too valuable to ignore. He's even used image analysis to troubleshoot his father's cable TV problems and figure out hotel air conditioning controls. The Agile Validation "My only fear is confirmation bias—but the conclusion I see other experienced developers reaching is that the only way to make LLMs work is by making them use agility. So look at who's dead now." Alan notes the irony that the AI coding tools that actually work all require traditional software engineering best practices: small iterations, test-driven development, continuous integration, and explicit refactoring. The promise of "just describe what you want" falls apart without these disciplines. Rather than replacing software engineering principles, AI tools seem to validate their importance. About Alan Cyment Alan Cyment is a consultant, trainer, and facilitator based in Buenos Aires, specializing in organizational fluency, agile leadership, and software development culture change. A Certified Scrum Trainer with deep experience across Latin America and Europe, he blends agile coaching with theatre-based learning to help leaders and teams transform. You can link with Alan Cyment on LinkedIn.

AI Assisted Coding: Agile Meets AI—How to Code Fast Without Breaking Things, With Llewellyn Falco In this BONUS episode we explore the practice of coding with AI—not just the buzzwords, but the real-world experience. Our guest, Llewellyn Falco, has been learning by doing, exploring the space of AI-assisted coding from the experimental and intuitive—what some call vibecoding—to the more structured world of professional, world-class software engineering. This is a conversation for practitioners who want to understand what's actually happening on the ground when we code with AI. Understanding Vibecoding "You can now program without looking at code. When you're in that space, vibecoding is the word we're using to say, we are programming in a way that does not relate to programming last year." The software development landscape shifted dramatically in early 2025. Vibecoding represents a fundamental change in how we create software—programming without constantly looking at the code itself. This approach removes many traditional limitations around technology, language, and device constraints, allowing developers to move seamlessly between different contexts. However, this power comes with responsibility, as developers can now move so fast that traditional safety practices become even more critical. From Concept to Working App in 15 Minutes "We wrote just a markdown page of ‘here's what we want this to look like'. And then we fed that to Claude Code. And 15 minutes later we had a working app on the phone." At the Agile 2025 conference in Denver, Llewellyn participated in a hackathon focused on helping psychologists prevent child abuse. Working with customer Amanda, a psychologist, and data scientist Rachel, the team identified a critical problem: clinicians weren't using the most effective parenting intervention technique because recording 60 micro-interactions in 5 minutes was too difficult and time-consuming. The team's approach embodied lean startup principles turned up to eleven. After understanding the customer's needs through exposition and conversation, they created a simple markdown specification and used Claude Code to generate a working mobile app in just 15 minutes. When Amanda tested it, she was moved to tears—after 20 years of trying to make progress on this problem, she finally had hope. Over three days, the team released 61 iterations, constantly getting feedback and refining the solution. Iterative Development Still Matters When Coding With AI "We need to see things working to know what to deliver next. That's never going to change. Unless you're building something that's already there." The team's success wasn't about writing a complete requirements document upfront. Instead, they delivered a minimal viable product quickly, tested it with real users, and iterated based on feedback. This agile approach proved essential even—or especially—when working with AI. One breakthrough came when Amanda used the number keypad instead of looking at her phone screen. With her full attention on the training video she'd watched hundreds of times, she noticed an interaction she had missed before. At that moment, the team knew they had created real value, regardless of what additional features they might build. Good Engineering Practices Without Looking at Code "We asked it to do good engineering practices, even though we didn't really understand what it was doing. We just sort of say, okay, yeah, that seems sensible." A critical moment came when the code had grown large and complex. Rather than diving into the code themselves, Llewellyn and his partner Lotta asked the AI to refactor the code to make a panel easy to switch before actually making the change. They verified functionality worked through manual testing but never looked at how the refactoring was implemented. This demonstrates that developers can maintain good practices like refactoring and clean architecture even when working at a higher level of abstraction. Key practices for AI-assisted development include: Don't accept AI's default settings—they're based on popularity, not best practices Prime the AI with the practices you want it to use through configuration files Tell AI to be honest and help you avoid mistakes, not just be agreeable Ask for explanations of architecture and evaluate whether approaches make sense Keep important decisions documented in markdown files that can be referenced later “The documentation is now executable. I can turn it into code” "The documentation is now executable. I can turn it into code. If I had to choose between losing my documentation or losing my code, I would keep the docs. I think I could regenerate the code pretty easily." In this new paradigm, documentation takes on new importance—it becomes the specification from which code can be regenerated. The team created and continuously updated markdown files for project context, architecture, and individual features. This practice allowed them to reset AI context when needed while maintaining continuity of their work. The workflow was bidirectional: sometimes they'd write documentation first and have AI generate code; other times they'd build features iteratively and have AI update the documentation. This approach using tools like Super Whisper for voice-to-text made creating and maintaining documentation effortless. Remove Deterministic Tasks from AI "AI is sloppy. It's inconsistent. Everything that can be deterministic—take it out. AI can write that code. But don't make AI do repetitive tasks." A crucial principle emerged: anything that needs to be consistently and repeatedly correct should be automated with traditional code, not left to AI. The team wrote shell scripts for tasks like auto-incrementing version numbers and created git hooks to ensure these scripts ran automatically. They also automated file creation with dates at the top, removing the need for AI to track temporal information. This principle works both ways—deterministic logic should be removed from underneath AI (via scripts and hooks) and from above AI (via orchestration scripts that call AI in loops with verification steps in between). Anti-Patterns to Avoid "The biggest anti-pattern is you're not committing frequently. I really want the ability to drop my context and revert my changes at a moment's notice." The primary anti-pattern when coding with AI is failing to commit frequently to version control. The ability to quickly drop context, revert changes, and start fresh becomes essential when working at this pace. Getting important decisions into documentation files and code into version control enables rapid experimentation without fear of losing work. Other challenges include knowing when to focus on the right risks. The team had to navigate competing priorities—customers wanted certain UX features, but the team identified data collection and storage as the critical unknown risk that needed solving first. This required diplomatic firmness in prioritizing work based on technical risk assessment rather than just user requests. Essential Tools for AI-Assisted Development "If you are using AI by going to a website, that is not what we are talking about here." To work effectively with AI, developers need agentic tools that can interact with files and run programs, not just chat interfaces. Recommended tools include: Claude Code (CLI for file interaction) Windsurf (VS Code-like interface) Cursor (code editor with AI integration) RooCode (alternative option) Super Whisper (voice-to-text transcription for Mac) Most developers working at this level have disabled safety guards, allowing AI to run programs without asking permission each time. While this carries risks, committing frequently to version control provides the safety net needed for rapid experimentation. The Power of Voice Interaction "Most of the time coding now looks like I'm talking. It's almost like Star Trek—you're talking to the computer and then code shows up." Using voice transcription tools like Super Whisper transformed the development experience. Speaking instead of typing not only increased speed but also changed the nature of communication with AI. When speaking, developers naturally provide more context and explanation than when typing, leading to better results from AI systems. This proved especially valuable in a crowded conference room where Super Whisper could filter out background noise and accurately transcribe the speakers' voices. The tool enabled natural, conversational interaction with development tools. Balancing Speed with Safety Over three days, the team released 61 times without comprehensive automated testing, focusing instead on validating user value through manual testing with the actual customer. However, after the hackathon, Llewellyn added automated testing by creating a test plan document through voice dictation, having AI clean it up and expand it, then generating Puppeteer tests and shell scripts to run them—all in about 40 minutes. This demonstrates a pragmatic approach: when exploring and validating with users, manual testing may suffice; but for ongoing maintenance and confidence, automated tests remain valuable and can be generated efficiently with AI assistance. The Future of Software Development "If you want to make something, there could not be a better time than now." The skills required for effective software development are shifting. Understanding how to assess risk, knowing when to commit code, maintaining good engineering practices, and finding creative solutions within system constraints remain critical. What's changing is that these skills are now applied at a higher level of abstraction, with AI handling much of the detailed implementation. The space is evolving rapidly—practices that work today may need adjustment in months. Developers need to continuously experiment, stay current with new tools and models, and develop instincts for working effectively with AI systems. The fundamentals of agile development—rapid iteration, customer feedback, risk assessment, and incremental delivery—matter more than ever. About Llewellyn Falco Llewellyn is an Agile and XP (Extreme Programming) expert with over two decades of experience in Java, OO design, and technical practices like TDD, refactoring, and continuous delivery. He specializes in coaching, teaching, and transforming legacy code through clean code, pair programming, and mob programming. You can link with Llewellyn Falco on LinkedIn.

AI Assisted Coding: Beyond AI Code Assistants: How Moldable Development Answers Questions AI Can't With Tudor Girba In this BONUS episode, we explore Moldable Development with Tudor Girba, CEO of feenk.com and creator of the Glamorous Toolkit. We dive into why developers spend over 50% of their time reading code—not because they want to, but because they lack the answers they need. Tudor shares how building contextual tools can transform software development, making systems truly understandable and enabling decisions at the speed of thought. The Hidden System: A Telco's Three-Year Quest "They had a system consisting of five boxes, but they could only enumerate four. If this is your level of awareness about what is reality around you, you have almost no chance of systematically affecting that reality." Tudor opens with a striking case study from a telecommunications company that spent three years and hundreds of person-years trying to optimize a data pipeline. Despite massive effort and executive mandate, the pipeline still took exactly one day to process data—no improvement whatsoever. When Tudor's team investigated, they asked for an architecture diagram. The team drew four boxes representing their system. But when Tudor's team started building tools to mirror this architecture back from the actual code, they discovered something shocking: there was an entire fifth system between the first and second boxes that nobody knew existed. This missing system was likely the bottleneck they'd been trying to optimize for three years. Why Reading Code Doesn't Scale "Developers spend more than 50% of their time reading code. The problem is that our systems are typically larger than anyone can read, and by the time you finish reading, the system has already changed many times." The real issue isn't the time spent reading—it's that reading is the most manual, least scalable way to extract information from systems. When developers read code, they're actually trying to answer questions so they can make decisions. But a 250,000-line system would take one person-month to read at high speed, and the system changes constantly during that time. This means everything you learned yesterday becomes merely a hypothesis, not a reliable answer. The fundamental problem is that we cannot perceive anything in a software system except through tools, yet we've never made how we read code an explicit, optimizable activity. The Context Problem: Why Generic Tools Fail "Software is highly contextual, which means we can predict classes of problems people will have, but we cannot predict specific problems people will have." Tudor draws a powerful parallel with testing. Nobody downloads unit tests from the web and applies them to their system—that would be absurd. Instead, we download test frameworks and build tests contextually for our specific system, encoding what's valuable about our particular business logic. Yet for almost everything else in software development, we download generic tools and expect them to work. This is why teams have tens of thousands of static analysis warnings they ignore, while a single failing test stops deployment. The test encodes contextual value; the generic warning doesn't. Moldable Development extends this principle: every question about your system should be answered by a contextual tool you build for that specific question. Tools That Mirror Your Mental Model "Whatever you draw on the whiteboard—that's your mental model. But as soon as the system exists, we want the system to mirror you back that thing. We make it the job of the system to show our mental model back to us." When someone draws an architecture diagram on a whiteboard, they're not documenting the system—they're documenting their beliefs about the system. The diagram represents wishes when drawn before the system exists, but beliefs when drawn after. Moldable Development flips this: instead of humans reading code and creating approximations, the system itself generates the visualization directly from the actual code. This eliminates the layers of belief and inference. Whether you're looking at high-level architecture, data lineage across multiple technologies, performance bottlenecks, or business domain structure, you build small tools that extract and present exactly the information you need from the system as it actually is. The Test-Driven Development Parallel "Testing was a way to find some kind of class of answers. But there are many other questions we have, and the question is: is there a systematic way to approach arbitrary questions?" Tudor explains that Moldable Development applies test-driven development principles to all forms of system understanding. Just as we write tests after we understand the functionality we need, we build visualization and analysis tools after we understand the questions we need answered. Both approaches share key characteristics: they're built contextually for the specific system, created by developers during development, and composed of many small tools that collectively model the system. The difference is that TDD focuses on functional decomposition and known expectations, while Moldable Development addresses architecture, security, domain structure, performance, and any other perspective where functional tests aren't the most useful decomposition. From Thousands of Features to Thousands of Tools "In my development environment, I don't have features. I have thousands of tools that coexist. Development environments should be focused not on what exists out of the box, but on how quickly you can create a contextual tool." Traditional development environments offer dozens of features—buttons, plugins, generic views. But Moldable Development environments contain thousands of micro-tools, each answering a specific question about a specific system. The key is making these tools composable and fast to create. Rather than building monolithic tools that try to handle every scenario, you build small inspectors that show one perspective on one object or concept. These inspectors chain together naturally as you drill down from high-level questions to detailed investigations. You might have one inspector showing test failures grouped by exception type, another showing PDF document comparisons, another showing cluster performance, and another showing memory usage—all coexisting and available when needed. The Real Bottleneck To Learning A System: Time to the Next Question "Once you do this, you will see that the interesting bottleneck is in the time to the next interesting question. This is by far the most interesting place to be spending energy." When you commoditize access to answers through contextual tools, something remarkable happens: the bottleneck shifts from getting answers to asking better questions. Right now, because answers come so slowly through manual reading and analysis, we rarely exercise the skill of formulating good questions. We make decisions based on gut feelings and incomplete data because we can't afford to dig deeper. But when answers arrive at the speed of thought, you can explore, follow hunches, test hypotheses, and develop genuine insight. The conversation between person and system becomes fluid, enabling decision-making based on actual evidence rather than belief. Moldable Development in Practice: The Lifeware Case "They are investing in software engineering as their competitive advantage. They have 150,000 tests that would take 10 days to run on a single machine, but they run them in 16 minutes distributed across AWS." Tudor shares a powerful case study of Lifeware, a life insurance software company that was featured in Kent Beck's "Test-Driven Development by Example" in 2002 with 4,000 tests. Today they have 150,000 tests and have fully adopted Moldable Development as their core practice. Their business model is remarkable: they take data from insurance companies, throw away the old systems, and reverse-engineer new systems by TDD-ing the business—replaying history to produce pixel-identical documents. They've deployed Glamorous Toolkit as their sole development environment across 100+ developers. Their approach demonstrates that Moldable Development isn't just a research concept but a practical competitive advantage that scales to large teams and complex systems. Why AI Doesn't Solve This Problem "When you ask AI, you will get exactly the same kind of answers. The answer comes quickly, but you will not know whether this is accurate, whether this represents the whole thing, and you definitely do not have an explanation as to why the answer is the way it is." In the age of AI code assistants, it might seem like language models could solve the problem of understanding systems. But Tudor explains why they can't. When you ask an AI about your architecture, you get an opinion—fast but unverifiable. Just like asking a developer to draw the architecture on a whiteboard, you receive filtered information without knowing if it's complete or accurate. Moldable Development, by contrast, extracts answers deterministically from the actual system. Software systems have almost no ambiguity in meaning—they're mathematical, not linguistic. We don't need probabilistic interpretation of source code; we need precise extraction and presentation. The tools you build give you not just answers but explanations of how those answers were derived from the actual system state. Scaling Through Language, Not Features "You need a new kind of development environment where the goal is to create tools much quicker. You need some sort of language in which to express development environments." The technical challenge of Moldable Development is enabling thousands of tools to coexist productively. This requires a fundamentally different approach to development environments. Instead of adding features—buttons and menu items that quickly become overwhelming—you need a language for expressing tools and a system for composing them. Glamorous Toolkit demonstrates this through its inspector architecture, where any object can define custom views that appear contextually. These views compose naturally as you navigate through your investigation, reusing earlier perspectives while adding new ones. The environment becomes a medium for tool creation, not just a collection of pre-built features. Making the Invisible Visible "We cannot perceive anything in a software system except through a tool. If that's so important, then the ability to control that shape is probably kind of important too." Software has no inherent shape—it's just data. Every perception we have of it comes through some tool that renders it into a form we can reason about. This means tools aren't nice-to-have accessories; they're fundamental to our ability to work with software at all. The text editor showing code is a tool. The debugger showing variables is a tool. But these are generic tools built once and reused everywhere, which means they show generic perspectives. What if we could control the shape of our software as easily as we write it? What if the system could show us exactly the view we need for exactly the question we have? That's the promise of Moldable Development. About Tudor Girba Tudor Girba is CEO of feenk.com and creator of Moldable Development. He leads the team behind Glamorous Toolkit, a novel IDE that helps developers make sense of complex systems. His work focuses on transforming how teams understand, navigate, and modernize legacy software through custom, insightful tools. Tudor and Simon Wardley are writing a book about Moldable Development which you can get at: https://moldabledevelopment.com/, and read more about in this Medium article. You can link with Tudor Girba on LinkedIn.

Tom Molenaar: When Product Owners “Eat the Grass” for Their Teams Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. The Great Product Owner: The Vision Catalyst "This PO had the ability to communicate the vision and enthusiasm about the product, even I felt inspired." Tom describes an exceptional Product Owner who could communicate vision and enthusiasm so effectively that even he, as the Scrum Master, felt inspired about the product. This PO excelled at engaging teams in product discovery techniques, helping them move from merely delivering features to taking outcome responsibility. The PO introduced validation techniques, brought customers directly to the office for interviews, and consistently showed the team the impact of their work, creating a strong connection between engineers and end users. The Bad Product Owner: The Micromanager "This PO was basically managing the team with micro-managing approach, this blocked the team from self-organizing." Tom encountered a Product Owner who was too controlling, essentially micromanaging the team instead of empowering them. This PO hosted daily stand-ups, assigned individual tasks, and didn't give the team space for self-organization. When Tom investigated the underlying motivation, he discovered the PO believed that without tight control, the team would underperform. Tom helped the PO understand the benefits of trusting the team and worked with both sides to clarify roles and responsibilities, moving from micromanagement to empowerment. In this segment, we refer to the book “Empowered” by Marty Cagan. Self-reflection Question: How do you help Product Owners find the balance between providing clear direction and allowing team autonomy? [The Scrum Master Toolbox Podcast Recommends]

Tom Molenaar: Purpose, Process, and People—The Three Pillars of Scrum Master Success Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "I always try to ask the team first, what is your problem? Or what is the next step, do you think? Having their input, having my input, bundle it and share it." Tom defines success for Scrum Masters through three essential pillars: purpose (achieving the team's product goals), process (effective Agile practices), and people (team maturity and collaboration). When joining new teams, he uses a structured approach combining observation with surveys to get a 360-degree view of team performance. Rather than immediately implementing his own improvement ideas, Tom prioritizes asking teams what problems they want to solve and finding common ground for a "handshake moment" on what needs to be addressed. Featured Retrospective Format for the Week: Creative Drawing of the Sprint Tom's favorite retrospective format involves having team members draw their subjective experience of the sprint, then asking others to interpret each other's drawings. This creative approach brings people back to their childhood, encourages laughter and fun, and helps team members tap into each other's experiences in ways that traditional verbal retrospectives cannot achieve. The exercise stimulates understanding between team members and often reveals important topics for improvement while building connection through shared interpretation of creative expressions. Example activity you can use to “draw the sprint”.  [The Scrum Master Toolbox Podcast Recommends]

Tom Molenaar: Systemic Change Management—Making the Emotional Side of Change Visible Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "We tend to skip the phase where we just give the person the space to grieve, to not know, instead of that, we tend to move to solutions maybe too quick." Tom faces a significant challenge as he prepares to start with new teams transitioning between value streams in a SAFe environment. The teams will experience multiple changes simultaneously - new physical locations, new team dependencies, and organizational restructuring. Tom applies systemic change management principles, outlining five critical phases: sense of urgency, letting go, not knowing, creation, and new beginning. He emphasizes the importance of making the emotional "understream" visible, giving teams space to grieve their losses, and helping them verbalize their feelings before moving toward solutions. In this episode, we refer to Systemic Change Management, an approach that views organizations as complex, interconnected systems—rather than collections of independent parts. Instead of focusing only on individual skills, isolated processes, or top-down directives, SCM works with the whole system (people, structures, culture, and external environment) to create sustainable transformation. Self-reflection Question: How comfortable are you with sitting in uncertainty and allowing teams to process change without immediately jumping to solutions? [The Scrum Master Toolbox Podcast Recommends]

Tom Molenaar: How to Spot and Fix Lack of Trust in Scrum Teams Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "When people don't speak up, it's because there's no trust. The team showed that they did not feel free to express their opinions." Tom describes working with a team that appeared to be performing well on the surface - they were reaching their goals and had processes in place. However, deeper observation revealed a troubling dynamic: a few dominant voices controlled discussions while half the team remained silent during ceremonies. Through one-on-ones, Tom discovered team members felt judged and unsafe to express their ideas. Using the Lencioni Pyramid as a framework, he helped the team address the fundamental lack of trust that was preventing constructive conflict and genuine collaboration. Featured Book of the Week: Empowered by Marty Cagan Tom recommends "Empowered" by Marty Cagan as a book that significantly influenced his approach to team coaching. The book focuses on empowering teams and organizations to deliver great products while developing ordinary people into extraordinary performing teams. Tom appreciates its well-structured approach that covers all necessary elements without getting lost in details. The book provides practical tools for effective coaching, including techniques for regular one-on-ones, active listening, constructive feedback, setting clear expectations, celebrating success, and creating a culture of learning from failure. [The Scrum Master Toolbox Podcast Recommends]

Tom Molenaar: When To Stop Helping Agile Teams To Change—A Real Life Story Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "Instead of slowing down and meeting the team in their resistance, I started to try and drag them because I saw the vision of the possible improvement, but they did not see it." Tom shares a powerful failure story about a team that didn't feel the urgency to improve their way of working. Despite management wanting the team to become more effective, Tom found himself pushing improvements that the team actively resisted. Instead of slowing down to understand their resistance, he tried to drag them forward, leading to exhaustion and ultimately his decision to leave the assignment. This episode explores the critical lesson that it's not our job to save teams that don't want to be saved, and the importance of recognizing when to step back. Self-reflection Question: When you encounter team resistance to change, how do you distinguish between healthy skepticism that needs addressing and fundamental unwillingness to improve? [The Scrum Master Toolbox Podcast Recommends]

BONUS: Nesrine Changuel shares how to create product delight through emotional connection! In this BONUS episode we explore the book by Nesrine Changuel: 'Product Delight - How to make your product stand out with emotional connection.' In this conversation, we explore Nesrine's journey from research to product management, share lessons from her experiences at Google, Spotify, and Microsoft, and unpack the key strategies for building emotionally resonant products that connect with users beyond mere functionality. The Genesis of Product Delight "I quickly realized that there is something that is quite intense while building Skype... it's not just that communication tool, but it was iconic, with its blue, with ringtones, with emojis. So it was clear that it's not just for making calls, but also to make you feel connected, relaxed, and part of it." Nesrine's journey into product delight began during her transition from research to product management at Skype. Working on products at major companies like Skype, Spotify, and Google Meet, she discovered that successful products don't just function well—they create emotional connections. Her role as "Delight PM" at Google Meet during the pandemic crystallized her understanding that products must address both functional and emotional user needs to truly stand out in the market. Understanding Customer Delight in Practice "The delight is about creating two dimensions and combining these two dimensions altogether, it's about creating products that function well, but also that help with the emotional connection." Customer delight manifests when products exceed expectations and anticipate user needs. Nesrine explains that delight combines surprise and joy—creating positive surprises that go beyond basic functionality. She illustrates this with Microsoft Edge's coupon feature, which proactively suggests discounts during online shopping without users requesting it. This anticipation of needs creates memorable peak moments that strengthen emotional connections with products. Segmenting Users by Motivators "We can discover that users are using your product for different reasons. I mean, we tend to think that users are using the product for the same reason." Traditional user segmentation focuses on demographics (who users are) or behavior (what they do). Nesrine advocates for motivational segmentation—understanding why users engage with products. Using Spotify as an example, she demonstrates how users might seek music for specific songs, inspiration, nostalgia, or emotional regulation. This approach reveals both functional motivators (practical needs) and emotional motivators (feelings users want to experience), enabling teams to build features aligned with user desires rather than assumptions. In this segment, we refer to Spotify Wrapped.  The Distinction from Jobs To Be Done "There's no contrast. I mean to be honest, it's quite aligned, and I'm a big fan of the job to be done framework." While aligned with Clayton Christensen's Jobs To Be Done framework, Nesrine's approach extends beyond identifying triggers to practical implementation. She acknowledges that Jobs To Be Done provides the foundational theory, distinguishing between personal emotional motivators (how users want to feel) and social emotional motivators (how they want others to perceive them). However, many teams struggle to translate these insights into actual product features—a gap her Product Delight framework addresses through actionable methodologies. Navigating the Line Between Delight and Addiction "Building for delight is about creating products that are aligned with users' values. It's about aligning with what people really want themselves to feel. They want to feel themselves, to feel a better version of themselves." The critical distinction between delight and addiction lies in value alignment. Delightful products help users become better versions of themselves and align with their personal values. Nesrine contrasts this with addictive design that creates dependencies contrary to user wellbeing. Using Spotify Wrapped as an example, she explains how reflecting positive achievements (skills learned, personal growth) creates healthy engagement, while raw usage data (hours spent) might trigger negative self-reflection and potential addictive patterns. Getting Started with Product Delight "If you only focus on the functional motivators, you will create products that function, but they will not create that emotional connection. If you take into consideration the emotional motivators in addition to the functional motivators, you create perfect products that connect with users emotionally." Teams beginning their delight journey should start by identifying both functional and emotional user motivators through direct user conversations. The first step involves listing what users want to accomplish (functional) alongside how they want to feel (emotional). This dual understanding enables feature development that serves practical needs while creating positive emotional experiences, leading to products that users remember and recommend. Product Delight and Human-Centered Design "Making products feel as if it was done by a human being... how can you make your product feel as close as possible to a human version of the product." Nesrine positions product delight within the broader human-centered design movement, but focuses specifically on humanization at the product feature level rather than just visual design. She shares examples from Google Meet, where the team compared remote meetings to in-person experiences, and Dyson, which benchmarks vacuum cleaners against human cleaning services. This approach identifies missing human elements and guides feature development toward more natural, intuitive interactions. In this segment we refer to the books Emotional Design by Don Norman, and Design for Emotion by Aarron Walter..  AI's Role in Future Product Delight "AI is a tool, and as every tool we're using, it can be used in a good way, or could be used in a bad way. And it is extremely possible to use AI in a very good way to make your product feel more human and more empathetic and more emotionally engaging." AI presents opportunities to enhance emotional connections through empathetic interactions and personalized experiences. Nesrine cites ChatGPT's conversational style—including apologies and collaborative language—as creating companionship feelings during work. The key lies in using AI to identify and honor emotional motivators rather than exploit them, focusing on making users feel supported and understood rather than manipulated or dependent. Developer Experience as Product Delight "If the user of your products are human beings... whether business consumer engineers, they deserve their emotions to be honored, so I usually don't distinguish between B2B or B2C... I say like B2H, which is business to human." Developer experience exemplifies product delight in B2B contexts. Companies like GitHub have created metrics specifically measuring developer delight, recognizing that technical users also have emotional needs. Tools like Jira, Miro, and GitHub succeed by making users feel more competent and productive. Nesrine advocates for "B2H" (business to human) thinking, emphasizing that any product used by humans should consider emotional impact alongside functional requirements. About Nesrine Changuel Nesrine is a product coach, trainer, and author with experience at Google, Spotify, and Microsoft. Holding a PhD from Bell Labs and UCLA, she blends research and practice to guide teams in building emotionally resonant products. Based in Paris, she teaches and speaks globally on human-centered design. You can connect with Nesrine Changuel on LinkedIn.

Terry Haayema: The Product Owner Who Made Retros Unsafe (And How We Fixed It) Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "The biggest anti-pattern was that he made the retro unsafe... he would come to the retro and called people out for things that had not been done." The Bad Product Owner: The PO Who Made Retros Unsafe Terry describes a product owner who came from a management background focused on widgets and KPIs, completely unprepared for the collaborative nature of the product owner role. This person's biggest anti-pattern was making retrospectives unsafe by calling out individual team members for things not completed or not done to his satisfaction. When gentle coaching interventions failed, Terry took the dramatic step of excluding the PO from retrospectives entirely. Surprisingly, this shock treatment worked - when the PO asked why he wasn't invited, Terry used SBI feedback (Situation, Behavior, Impact) to help him understand how his actions were destroying team dynamics. The story has a positive ending, with the PO eventually understanding and changing his approach. In this segment, we refer to the Retrospective Prime Directive, and the SBI feedback framework. The Great Product Owner: The Customer Connector Terry's best product owner example saw their role not just as the voice of the customer, but as the connector between team and customers. Instead of relying solely on user stories and personas, this PO organized regular informal events where real customers and team members could meet, share pizza and beer, and have genuine conversations. These social connections led to deep customer understanding and resulted in their best feature ever - a simple addition that showed customers their last six orders for easy reordering. This feature increased both order frequency and size while dramatically improving the team's ability to empathize with their users. Self-reflection Question: How might you help your product owner move from being the voice of the customer to being the bridge that connects your team directly with real users? [The Scrum Master Toolbox Podcast Recommends]

Terry Haayema: Why "Working Myself Out of a Job" Is Wrong for Scrum Masters Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "Success for a Scrum Master is to do myself out of a job... which I don't buy into at all, because a team will always need a coach." Terry challenges the common belief that Scrum Masters succeed by working themselves out of a job, arguing instead that teams always need coaching as they continuously improve. He emphasizes the importance of separating his outcomes from the team's success to avoid becoming part of the system he's trying to help. For Terry, success is measured by the visible joy he can create in people - when leaders approach him with happiness, when team members are excited to see him, when absenteeism drops because people actually want to come to work. He shares a powerful story of how helping teams find joy not only improved their performance but reduced their stress-related sick days from the highest to the lowest in their division. Featured Retrospective Format for the Week: Drawing Retrospectives Terry loves retrospective formats that use drawings and visual metaphors, like Draw Your Feelings, or the Sailboat retrospective. He explains that when teams draw pictures instead of immediately processing thoughts through language, they generate much richer and deeper insights. The approach works by having people first draw their thoughts, then asking "What led you to draw that picture?" This method bypasses the analytical mind and taps into more intuitive understanding. For longer-term retrospectives, Terry recommends Open Space Technology, which allows groups to self-organize around the most important questions they need to answer. Self-reflection Question: How do you measure your own success as a Scrum Master, and does that measurement inspire you to do your best work? [The Scrum Master Toolbox Podcast Recommends]

Terry Haayema: When Consensus Becomes Paralysis—The Nemawashi Challenge For Agile Software Development Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "The problem I'm facing is 'too much consensus'... we talk, bounce ideas, but we don't get going." Terry shares his current coaching challenge in a Japanese company where their cultural practice of Nemawashi (consensus building) has become a barrier to progress. While working across the entire organization, he's discovered that quality is suffering because teams aren't clear about desired outcomes before starting work. The excessive focus on building consensus means initiatives bounce between stakeholders without ever gaining momentum. Terry explains how he's experimenting with delaying detailed refinement to build shared understanding as teams progress, rather than trying to achieve perfect consensus upfront. He uses the metaphor of flying a plane - pilots don't stick rigidly to flight plans but constantly make small course corrections based on real-time feedback. Self-reflection Question: In your organization, what well-intentioned practices have become obstacles to the very outcomes they were designed to achieve? [The Scrum Master Toolbox Podcast Recommends]

Terry Haayema: The High Cost of Unsafe Agile Retrospectives Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "She was kind of like the mum for the team... she was actually the glue that held the team together." Terry tells the story of a team that was functioning like a feature factory until a business analyst became their champion and "team mom." This BA supported everyone through agile transformation and helped build trust and healthy conflict. However, when she mentioned something in a retrospective that led to her being put on performance management and eventually leaving, the team rapidly self-destructed. They lost their sense of belonging and teamness, retreating back to working as independent professionals rather than collaborating. The story illustrates how leadership actions can instantly destroy weeks or months of trust-building work, and how critical psychological safety is for sustainable team performance. For more critical points on how to be a great leader, check this episode with Captain David Marquet, a thought leader in the leadership space who wrote Turn the Ship Around!  Featured Book of the Week: The Five Dysfunctions of a Team by Patrick Lencioni Terry credits The Five Dysfunctions of a Team by Patrick Lencioni as massively influential in his career, particularly praising how Lencioni demonstrates that without trust as a foundation, teams cannot achieve anything else. The book's framework shows how lack of trust prevents healthy conflict, which prevents commitment, which prevents accountability, which prevents results. Terry found the way Lencioni illustrates these dysfunctions and their cascading effects to be incredibly valuable for understanding team dynamics and what's needed to build high-performing teams. In this segment, we also refer to Agile Software Development with Scrum, by Schwaber and Beedle. Self-reflection Question: What would happen to your team's dynamics if your most supportive, trust-building team member suddenly left tomorrow? [The Scrum Master Toolbox Podcast Recommends]

Terry Haayema: When Scrum Practices Aren't Enough - Learning to Sense the System Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "I didn't know how to 'sense' the system. I was focused on the scrum practices, I thought when practices were there all would be fine." Terry shares a powerful failure story from his second engagement as a Scrum Master, where he discovered that implementing Scrum practices isn't enough if you don't understand the underlying system driving team behaviors. He describes how individual KPIs were causing conflict between developers and testers - developers were measured on fewer defects while testers were measured on finding more defects. This systemic issue created dysfunction that no amount of daily standups or retrospectives could fix. Terry learned the hard lesson that Scrum Masters must be coaches for both the team and the organization, understanding how metrics and structures shape behavior before trying to implement agile practices. Self-reflection Question: What systemic forces in your organization might be working against the collaborative behaviors you're trying to foster in your teams? [The Scrum Master Toolbox Podcast Recommends]

BONUS: Jochen Issing on Building High-Performing Engineering Teams In this BONUS episode, we explore the fascinating journey of Jochen Issing, an engineering leader who brings unique insights from his background as a handball player and band member to building exceptional software development teams. From sports courts and music stages to engineering leadership, Jochen shares practical wisdom on psychological safety, team dynamics, and creating cultures where the best ideas win. From Sports and Music to Software Leadership "As soon as you complain about each other, you are starting to lose." Jochen's unconventional background as a handball player and band member has profoundly shaped his approach to engineering leadership. Drawing from team sports, he discovered that frustration leads to losing in both athletics and technology work. Great players in great teams optimize for the team's results, not individual glory. This translates directly to software development where great engineers slow down to make the team faster, recognizing that collective success trumps individual achievement. The lesson from the handball court is clear: when team members start blaming each other, they create a losing mindset that becomes self-fulfilling. Breaking the 10X Engineer Myth "It's not your success that makes our success, it's our success that makes your success." The mythology of the 10X engineer remains pervasive in software development, but Jochen challenges this with insights from team dynamics. The "hero culture" in companies often emerges when systems are already broken, requiring someone to step in and save the day. While we celebrate these heroes, we forget to ask the crucial question: how did we end up needing a hero in the first place? True high-performing teams don't require heroic individual efforts because they've built sustainable systems and shared knowledge. The goal isn't to eliminate talented individuals but to ensure that even the most skilled engineers can take time off without the organization grinding to a halt. Creating Psychological Safety Through Vulnerability "When psychological safety is missing, I try to ask ignorant questions - expose myself as being the least experienced person in the room." Building psychological safety requires intentional strategies that go beyond good intentions. Jochen employs a counterintuitive approach: when he senses team members hesitating to speak up, he deliberately asks "ignorant" questions to position himself as the least knowledgeable person in the room. This modeling behavior demonstrates that it's safe to admit uncertainty and ask questions. He also builds a culture of "challenging ourselves" by implementing ritualized dissent - assigning someone the specific job of finding flaws in proposed solutions. This prevents the dangerous harmony that can emerge when teams agree too quickly without proper scrutiny. The Power of the Expectation Sheet "I want people to share with me what might even drive them away from the company." Trust forms the foundation of effective team relationships, but building it requires explicit frameworks. Jochen uses an "expectation sheet" (See a prototype here Google Doc)- a document that formalizes mutual expectations between him and his team members. This tool establishes that he wants open, honest communication about everything, including situations that might drive someone to leave the company. The key principle is that he will never share confidential information or use personal disclosures against team members. This creates a relationship where he serves as both a representative of the company when necessary and a personal advocate for his team members when they need support navigating organizational challenges. Team-Centric Productivity and Collaboration "The team is the unit of productivity and delivery, not the individual." Effective engineering leadership requires balancing individual desires with team outcomes. Jochen emphasizes that while people naturally want to say "I did this," the focus must remain on team impact. This involves creating shared understanding of collective goals while still addressing individual needs and growth aspirations. Practical strategies include using on-call rotations to identify knowledge silos, implementing pair programming and mob programming to reinforce collaborative work patterns, and designing tasks that allow individuals to take ownership while remaining embedded in team efforts. The analogy to band dynamics is apt - when someone brings a song idea to the band, it evolves through collaboration into something different and usually better than the original vision. Building Sustainable High Performance "Great engineers slow down to make the team faster - which is how we get better teams." Sustainable high performance emerges when senior engineers invest in lifting the entire team rather than maximizing their individual output. This means senior staff level engineers focus less on their personal contributions and more on forming "tribes" across teams, coaching junior engineers, and building organizational capability. The measure of success shifts from individual heroics to collective achievement - if problems consistently require the same person to fix them, the team hasn't truly succeeded in building sustainable systems and shared knowledge. Recommended Resources for Further Reading Jochen recommends several foundational books for understanding team dynamics and engineering leadership. "The Culture Code" by Daniel Coyle explores the structure of high-performing teams and debunks myths about command-and-control leadership. "Product Development Flow" by Reinertsen provides the scientific foundation behind agile methodologies and explains what teams are really trying to solve. "The Culture Map" by Erin Meyer offers insights on working with diverse cultures and backgrounds to bring out the best in each team member. "Coaching Agile Teams" by Lyssa Adkins serves as a practical guide for developing coaching skills in technical environments. And our very own Scrum Master Toolbox podcast provides ongoing insights and real-world experiences from practitioners in the field. About Jochen Issing Jochen is an engineering leader who's all about building great teams and better developer experiences. From audio tech and cloud platforms to monorepos and feedback culture, he's done it all. A former bandmate and handball player, Jochen brings heart, trust, and collaboration into everything he builds with his teams. You can connect with Jochen Issing on LinkedIn and connect with Jochen Issing on Twitter.

Shawn Dsouza: Beyond Product Knowledge—The Hidden Skills Every Product Owner Needs Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Shawn explores both ends of the Product Owner spectrum through real experiences. On one side, he addresses the "Forced" or "Accidental" Product Owner—a common but problematic pattern where organizations appoint someone based solely on product knowledge. He shares the story of a QA professional thrust into the PO role who knew the product inside out but lacked other essential PO skills, frustrating the team with inadequate responses. Through coaching questions inspired by "The Advice Trap," Shawn helped this reluctant PO reflect on responsibilities and develop confidence beyond technical knowledge. The Great Product Owner: The Story-Crafting Superstar Shawn celebrates a Product Owner who elevated user story writing to an art form—"the Picasso of writing user stories." This exceptional PO co-crafted clear, well-structured stories with the team and used AI to refine stories and acceptance criteria. Her meticulous preparation included intensive refinement sessions before vacations and expert story slicing techniques. By handling requirements clarity superbly, she freed the team to focus entirely on problem-solving rather than deciphering what needed to be built. The Bad Product Owner: The Forced/Accidental Product Owner Organizations frequently make the mistake of appointing the person with the highest product knowledge as Product Owner, assuming technical expertise translates to PO effectiveness. However, the Product Owner role requires diverse skills beyond product knowledge—stakeholder management, prioritization, communication, and strategic thinking. When a QA professional was thrust into this role, their deep product understanding couldn't compensate for underdeveloped PO competencies, leading to team frustration and project complications. In this segment, we refer to the Coach Your PO e-course published by your Scrum Master Toolbox Podcast! Self-reflection Question: What skills beyond domain expertise should you develop or look for when transitioning into or selecting someone for the Product Owner role? [The Scrum Master Toolbox Podcast Recommends]

Shawn Dsouza: The Marathon Mindset—Building Agile Teams That Last Beyond Sprint Deadlines Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Shawn defines himself as a "people-first Scrum Master" who measures success not through metrics but through daily interactions and team growth. He contrasts two teams: one that hit deadlines but lacked collaboration (unsustainable success) versus another that struggled with deadlines but excelled in conversations and continuous improvement (sustainable growth). For Shawn, protecting deep work and fostering genuine team collaboration indicates true success. He emphasizes that product development is a marathon, not a sprint, and warns that lack of meaningful conversations will inevitably lead to team problems. In this segment, we refer to the book Clean Language by Sullivan and Rees.  Featured Retrospective Format for the Week: Sprint Awards Shawn champions the Sprint Awards retrospective format, moving beyond viewing retrospectives as just another Scrum event to recognizing them as critical team development opportunities. In this format, team members give awards to colleagues for various contributions during the sprint, with each award recipient explaining why they were chosen. Shawn prefers face-to-face, offline retrospectives and always starts with ice breakers to gauge how the team feels—whether they feel heard and connected. He believes in experimenting with different retrospective formats since no single approach works for every situation. Self-reflection Question: How do you balance achieving deliverable outcomes with building sustainable team relationships and collaboration patterns? [The Scrum Master Toolbox Podcast Recommends]

Shawn Dsouza: From AI Anxiety to AI Advantage: A Scrum Master's Experimental Approach Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Shawn faces the massive AI transformation currently reshaping the tech industry, acknowledging both its benefits and the fear it creates among professionals questioning their relevance. In his organization, he witnesses AI delivering wonders for some teams while others struggle and lose projects. Rather than viewing AI as an overwhelming wave, Shawn advocates for experimentation. He shares practical examples, like helping a Product Owner streamline story creation from Excel to JIRA using AI tools, and leveraging MIRO AI for team collaboration. His approach focuses on identifying friction points where AI experiments could add value while keeping conversations centered on possibilities rather than fears. Self-reflection Question: Instead of fearing technological changes like AI, how can you create small experiments to explore new possibilities and reduce friction in your current work processes? [The Scrum Master Toolbox Podcast Recommends]

Shawn Dsouza: The Database Migration Disaster— Why Software Development Teams Need Psychological Safety Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Shawn worked with a skilled team migrating a database from local to cloud-based systems, supported by a strong Product Owner. Despite surface-level success in ceremonies, he noticed the team avoided discussing difficult topics. After three months of seemingly smooth progress, they delivered to pre-production only to discover 140 critical issues. The root cause? Unspoken disagreements and tensions that festered beneath polite ceremony facades. The situation deteriorated to the point where a senior engineer quit, teaching Shawn that pausing to address underlying issues doesn't cost time—it builds sustainability. In this segment, we refer to the episodes with Mahesh Jade, a previous guest on the Scrum Master Toolbox podcast. Featured Book of the Week: The Advice Trap by Michael Bungay Stanier Shawn discovered this transformative book when he realized he was talking too much in team meetings despite wanting to add value. The Advice Trap revealed how his instinct to give advice, though well-intentioned, was actually self-defeating. The book taught him to stay curious longer and ask better questions rather than rushing to provide solutions. As Shawn puts it, "The minute you think you have the answer you stop listening"—a lesson that fundamentally changed his coaching approach and helped him become more effective with his teams. Self-reflection Question: When working with teams, do you find yourself jumping to advice-giving mode, or do you stay curious long enough to truly understand the underlying challenges? [The Scrum Master Toolbox Podcast Recommends]

Shawn Dsouza: When Scrum Masters Forget to Listen - A Team Trust Crisis in Agile Implementation Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Shawn shares a powerful lesson about the importance of listening before implementing. Working with a young, talented team drowning in firefighting, he rolled out Scrum in "full" without taking time to understand the team's context. Going through the motions of Scrum ceremonies without genuine team ownership led to dropping energy levels and lost trust. The turning point came when Shawn realized the team had lost faith in his approach, prompting him to rebuild the process collaboratively with team ownership at its core. This story highlights how good intentions can backfire when we prioritize frameworks over people. Self-reflection Question: Before implementing any new process or framework, how do you ensure you truly understand your team's current challenges and context rather than jumping straight to solutions? [The Scrum Master Toolbox Podcast Recommends]

Bernie Maloney: Problems vs. Solutions: The Great Product Owner Distinction Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. The Great Product Owner: The Strategic Problem Solver Bernie describes an exemplary Product Owner from a stealth program sponsored by a CTO, where the company needed to create new intellectual property. This Great Product Owner understood that Agile operates in three dimensions: most organizations only focus on outputs and delivery (first dimension), some reach outcomes (second dimension), but the truly great ones operate in the third dimension of strategic or business agility - defining problems worth solving. This Product Owner knew that high-performing teams need to understand what problem is worth solving rather than just receiving solutions to build. They embraced the Mobius loop approach, focusing on discovering the right problems rather than jumping straight to solutions. In this segment, we refer to the Mobius Loop, and to Steve Blank's work on the job of a startup.  We also refer to the episode with Elliott Parker on the critical importance of the “startup mindset” to foster innovation in larger organizations.  The Bad Product Owner: The Backlog Jockey with Authority Issues Bernie identifies the anti-pattern of Product Owners being treated as mere "backlog jockeys" by their organizations, which forces them into solution-building mode rather than problem-solving mode. These Product Owners don't understand the importance of saying "no" and lack clarity about intent and goals. The worst case Bernie encountered was a team manager who also served as Product Owner, wielding positional authority that shut down team communication. This person would interrupt daily scrums, causing teams to revert to waiting for direction rather than self-organizing. The combination of unclear intent and positional authority creates a toxic environment that destroys team autonomy and psychological safety. Self-reflection Question: Is your Product Owner focused on defining problems worth solving, or are they primarily managing a backlog of predetermined solutions? [The Scrum Master Toolbox Podcast Recommends]

Bernie Maloney: From Permission-Seeking to Forgiveness-Begging—Agile Team Evolution in Self-Management Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Bernie defines success for Scrum Masters as creating teams that can thrive and do their best work independently. His ultimate goal is to make himself unnecessary - developing self-directing teams that step out of waiting for direction and instead seek permission or even beg forgiveness when needed. Using the "Circles and Soup" framework, Bernie helps teams stretch their circles of influence and control. He recognizes that every manager wants teams to succeed but may lack the necessary tools, making it crucial for Scrum Masters to coach managers as well. Bernie recommends building a backlog of organizational impediments and focusing on the top priority that will move the ball forward most effectively. Featured Retrospective Format for the Week: Sailboat Bernie champions the Sailboat retrospective format for its simplicity and adaptability. While the basic format is straightforward, he appreciates that you can add layers of complexity as needed. Bernie tends to keep retrospectives simple and also mentions the "What the Duck?" technique as another valuable retrospective tool. He suggests incorporating creative elements like having people build LEGO representations of what they're discussing, which helps teams visualize and engage with concepts more effectively. To know more about LEGO Serious Play, check out the Serious Play book.  In this segment, we also refer to Dissociation in Psychology, which helps with "third position" coaching/thinking, and Bernie's video on creative retrospective formats.  Self-reflection Question: How are you measuring whether your teams are becoming more self-directing, and what specific behaviors indicate they're ready to operate with less guidance? [The Scrum Master Toolbox Podcast Recommends]

Bernie Maloney: Mastering Complexity Through Systems Thinking and NLP Coaching Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Bernie addresses the constant challenge of mid-sprint changes by asking the crucial question: "what do you want to trade in for that new request?" His approach centers on recognizing that everyone is trying to do their best with what they have, using techniques from NLP and the three coaching positions to help people see the whole system. Bernie emphasizes rapport building as a key skill for Scrum Masters and warns against the anti-pattern of becoming judgmental when challenges arise. He advocates for moving from a plan-and-predict mentality to sense-and-respond thinking, highlighting the importance of conducting retrospectives once challenges are solved. Bernie's coaching philosophy revolves around helping people step into the "third position" - a dissociated perspective that enables better problem-solving and systems thinking. In this episode, we refer to Neuro-linguistic Programming (NLP), and to Instant Rapport by Michael Brooks, a primer on NLP. We also refer to the plan-and-predict vs sense-and-respond mentality. Self-reflection Question: How effectively are you helping your teams and stakeholders see the whole system when challenges arise, rather than just focusing on individual pain points? [The Scrum Master Toolbox Podcast Recommends]

Bernie Maloney: The Triangulation Technique—Coaching Agile Teams Through Challenges Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Bernie identifies critical patterns that cause teams to self-destruct, with lack of clarity about intention being the most common culprit. When teams are treated as mere "task workers" without clear vision, strategy, or goals, they become depressed and directionless. Some teams seek forgiveness after failed experiments, while others get stuck seeking permission without taking enough self-leadership. Bernie emphasizes that waiting for direction is fundamentally self-destructive behavior, and Scrum Masters must create safety for teams to reach high performance. He introduces the coaching technique of triangulation, where problems become a third point that coach and coachee examine together, side by side, rather than facing each other in opposition. In this segment, we talk about “What the Duck”, a Lego Serious Play workshop. Featured Book of the Week: Start with Why by Simon Sinek Bernie champions "Start with Why" by Simon Sinek as essential reading for Scrum Masters working to transform team culture. He explains that compelling stories are how leaders truly influence others, following the sequence of Attention-Emotion-Reason. This book helps Scrum Masters understand that their job fundamentally involves changing culture, and leaders must demonstrate the change they want to see. Bernie connects this to the broader leadership challenge of developing coaching and mentoring skills within organizational structures. During this segment, we also refer to the following books:  Drive, By Dan Pink Change the Culture, Change the Game, by Connors et al. The Secret Language of Leadership, by Denning Too Many Bosses, Too Few Leaders, by Peshawaria The Geek Way, by McAfee Right Kind of Wrong, by Edmondson   Self-reflection Question: What patterns of self-destructive behavior might your teams be exhibiting, and how could you help them move from seeking permission to taking ownership? [The Scrum Master Toolbox Podcast Recommends]

Bernie Maloney: The Power of Psychological Safety in Agile Teams Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Bernie shares a powerful story about learning what psychological safety truly means through both success and failure. Working in a high-pressure division with tight timelines and margins, Bernie discovered the transformative power of the mantra "always make a new mistake." When he made a significant error and was met with understanding rather than punishment, he experienced firsthand how psychological safety enables teams to thrive.  Later, facing a different challenge where mistrust existed between management and teams, Bernie had to navigate the delicate balance of maintaining psychological safety while addressing management's desire for transparency. His solution was innovative: conduct retrospectives with the team first, then invite managers in at the end with anonymized contributions. Bernie's approach of framing changes as experiments helped people embrace newness, knowing it would be time-bound and reversible. In this episode we refer to Neuro-linguistic Programming (NLP).  Self-reflection Question: How might your current approach to mistakes and experimentation be either fostering or undermining psychological safety within your team? [The Scrum Master Toolbox Podcast Recommends]

CTO Series: Toni Sallanmaa on Scaling Engineering Teams and Aligning Tech with Business Goals In this BONUS episode, we explore the journey of scaling technology teams and maintaining alignment between engineering and business objectives with Toni Sallanmaa, CTO at Funidata. Toni shares invaluable insights from leading the development of Sisu, a cutting-edge student information system serving over 100,000 Finnish university users, and discusses practical strategies for growing engineering organizations while preserving company culture. The Genesis of Leadership in Technology "I understood what I was really responsible for. I'm interested in the business we are running—the business adds meaning to the work." Toni's approach to technology leadership was fundamentally shaped by a pivotal moment early in his career when he first gained influence over system development and technology choices. After working with large-scale systems for 20 years, this moment of responsibility revelation transformed his perspective from purely technical to business-focused. He emphasizes that infinite curiosity drives success in tech businesses, and understanding the business context gives meaningful purpose to technical work. Bridging the Gap Between Tech and Product "Don't separate Tech from Product. We established a common language between product and technology people." One of Toni's most significant insights centers on eliminating the traditional divide between technology and product teams. As Funidata grew from a small startup to a 70-person organization, the challenges of maintaining alignment became apparent. Their solution involved several key practices: Teaching developers the language of the product domain  Banning confusing technical terms that create communication barriers Workshopping product language to ensure clarity Keeping entity names deliberately vague until true understanding emerges This approach draws heavily from Domain Driven Design principles, creating a unified vocabulary that enables seamless collaboration. Collaborative Planning and Transparency "We use transparency as a collaboration technique. Every team sees what's being proposed as a goal for the next quarter." Funidata implements a unique "marketplace of goals" approach during their quarterly big room planning sessions. Rather than using scaled agile frameworks, they focus on transparency and collaborative goal-setting. Teams present their high-level quarterly plans to each other, creating visibility across the organization. Product owners are embedded within teams, keeping communication distances short and ensuring alignment between technical execution and business objectives. Future-Forward Roadmapping "We talk about the higher level ideas regularly, but let them bubble up from the community. We hold internal hackathons." Toni's approach to roadmapping balances strategic vision with grassroots innovation. They maintain an internal technology roadmap that addresses emerging trends like AI, while allowing ideas to organically emerge from the engineering community. Internal hackathons serve as catalysts for innovation, providing structured opportunities for teams to explore new technologies and approaches that might inform future roadmap decisions. Scaling Challenges and Cultural Preservation "The biggest challenge is not technology, it was the rapid scaling of technology teams. When you scale up, keep the culture in mind." The most significant challenge Toni faced wasn't technical but organizational—rapidly scaling teams while preserving company culture. Growing from 10 to 50 people required evolving processes, from establishing internal forums for architectural discussions to implementing continuous integration flows. The key was identifying pain points proactively and maintaining open discussions with team members throughout the scaling process. Strengthening company culture became essential to successful growth. AI's Impact on Software Development "Productivity is on the rise. We see opportunities like generating test data, but we have strict requirements for cybersecurity, which puts pressure on code quality." Toni views AI's impact on software development with cautious optimism. While productivity gains are evident, particularly in areas like test data generation, the stringent cybersecurity requirements in their domain mean that AI hasn't yet significantly improved code quality where it matters most. The technology shows promise, but implementation must be carefully considered within the context of security and quality requirements. Measuring Engineering Success "We use DORA and SPACE framework. We measure how much of our work is KTLO (Keep The Lights On) and how much is elective development." Funidata employs both DORA and SPACE frameworks to measure engineering organization success. From SPACE, they particularly focus on measuring software team wellbeing, while also tracking the balance between "Keep The Lights On" (KTLO) work and elective development. Using JIRA connected to a data warehouse, they mine extensive data that serves both leadership decision-making and team improvement efforts, ensuring metrics benefit everyone in the organization. Influential Leadership Resources "The organizational books have been more influential to me than purely technical ones." Toni emphasizes that organizational leadership books have shaped his CTO approach more than technical resources. Two key influences stand out: "Team Topologies" for understanding how to structure and scale engineering teams effectively, and "Radical Candor" for building authentic, productive relationships within the organization. You can find a BONUS episode on Team Topologies with the authors Matthew Skeltton and Manuel Pais. About Toni Sallanmaa Toni leads technology and engineering at Funidata, developing Sisu—a cutting-edge student information system serving over 100,000 Finnish university users. Passionate about agile methodologies, system architecture, and software engineering, Toni specializes in technology management, software lifecycle, OOP, and relational databases to deliver innovative, scalable solutions in higher education tech. You can connect with Toni Sallanmaa on LinkedIn.

Mariano Gontchar: The Micromanagement Trap—When PO's Good Intentions Harm Agile Team Performance Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. The Great Product Owner: The Visionary Leader During an agile transformation project modernizing a build system with multiple stakeholders, Mariano worked with an exceptional Product Owner who demonstrated the power of clear vision and well-defined roadmaps. This visionary Product Owner successfully navigated complex stakeholder relationships by maintaining focus on the product vision while providing clear direction through structured roadmap planning, enabling the team to deliver meaningful results in a challenging environment. The Bad Product Owner: The Task-Manager Micromanager Mariano encountered a well-intentioned Product Owner who fell into the task-manager anti-pattern, becoming overly detail-oriented and controlling. This Product Owner provided extremely detailed story descriptions and even specified who should do what tasks instead of explaining why work was needed. This approach turned the team into mere task-handlers with no space to contribute their expertise, ultimately reducing both engagement and effectiveness despite the Product Owner's good intentions. Self-reflection Question: Are you empowering your team to contribute their expertise, or are you inadvertently turning them into task-handlers through over-specification? [The Scrum Master Toolbox Podcast Recommends]

Mariano Gontchar: Fear-Free Teams—Creating Psychological Safety for High Performance Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Mariano's definition of Scrum Master success has evolved dramatically from his early days of focusing on "deliver on time and budget" to a more sophisticated understanding centered on team independence and psychological safety. Today, he measures success by whether teams can self-manage, communicate effectively with stakeholders, and operate without fear of criticism. This shift represents a fundamental change from output-focused metrics to outcome-focused team health indicators that create sustainable high performance. Self-reflection Question: How has your definition of success evolved in your current role, and what would change if you focused on team independence rather than traditional delivery metrics? Featured Retrospective Format for the Week: Frustration-Based Retrospective Mariano's retrospective approach focuses on asking team members about their biggest frustrations from the last sprint. This format helps team members realize their frustrations aren't unique and creates psychological safety for sharing challenges. The key is always asking the team to propose solutions themselves rather than imposing fixes, making retrospectives about genuine continuous improvement rather than just complaining sessions. [The Scrum Master Toolbox Podcast Recommends]

Mariano Gontchar: From Evangelist to Facilitator—How To Lead A Successful Company Merger Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. During a complex merger between two telecom companies, Mariano faced the challenge of uniting team members with different cultures, practices, and tools. His initial approach of selling Agile theory instead of focusing on benefits failed because he forgot about the "why" of change. The breakthrough came when he shifted from being an Agile evangelist to becoming a facilitator who listened to managers' real challenges. By connecting people and letting the team present their own solutions to leadership, Mariano successfully created unity between the formerly divided groups. Self-reflection Question: Are you trying to sell your methodology or solve real problems, and what would happen if you focused on understanding challenges before proposing solutions? [The Scrum Master Toolbox Podcast Recommends]