Scrum Master Toolbox Podcast: Agile storytelling from the trenches

BONUS: Breaking Through The Organizational Immune System - Why Software-Native Organizations Are Still Rare With Vasco Duarte In this BONUS episode, we explore the organizational barriers that prevent companies from becoming truly software-native. Despite having proof that agile, iterative approaches work at scale—from Spotify to Amazon to Etsy—most organizations still struggle to adopt these practices. We reveal the root cause behind this resistance and expose four critical barriers that form what we call "The Organizational Immune System." This isn't about resistance to change; it's about embedded structures, incentives, and mental models that actively reject beneficial transformation. The Root Cause: Project Management as an Incompatible Mindset "Project management as a mental model is fundamentally incompatible with software development. And will continue to be, because 'project management' as an art needs to support industries that are not software-native." The fundamental problem isn't about tools or practices—it's about how we think about work itself. Project management operates on assumptions that simply don't hold true for software development. It assumes you can know the scope upfront, plan everything in advance, and execute according to that plan. But software is fundamentally different. A significant portion of the work only becomes visible once you start building. You discover that the "simple" feature requires refactoring three other systems. You learn that users actually need something different than what they asked for. This isn't poor planning—it's the nature of software. Project management treats discovery as failure ("we missed requirements"), while software-native thinking treats discovery as progress ("we learned something critical"). As Vasco points out in his NoEstimates work, what project management calls "scope creep" should really be labeled "value discovery" in software—because we're discovering more value to add. Discovery vs. Execution: Why Software Needs Different Success Metrics "Software hypotheses need to be tested in hours or days, not weeks, and certainly not months. You can't wait until the end of a 12-month project to find out your core assumption was wrong." The timing mismatch between project management and software development creates fundamental problems. Project management optimizes for plan execution with feedback loops that are months or years long, with clear distinctions between teams doing requirements, design, building, and testing. But software needs to probe and validate assumptions in hours or days. Questions like "Will users actually use this feature?" or "Does this architecture handle the load?" can't wait for the end of a 12-month project. When we finally discover our core assumption was wrong, we need to fully replan—not just "change the plan." Software-native organizations optimize for learning speed, while project management optimizes for plan adherence. These are opposing and mutually exclusive definitions of success. The Language Gap: Why Software Needs Its Own Vocabulary "When you force software into project management language, you lose the ability to manage what actually matters. You end up tracking task completion while missing that you're building the wrong thing." The vocabulary we use shapes how we think about problems and solutions. Project management talks about tasks, milestones, percent complete, resource allocation, and critical path. Software needs to talk about user value, technical debt, architectural runway, learning velocity, deployment frequency, and lead time. These aren't just different words—they represent fundamentally different ways of thinking about work. When organizations force software teams to speak in project management terms, they lose the ability to discuss and manage what actually creates value in software development. The Scholarship Crisis: An Industry-Wide Knowledge Gap "Agile software development represents the first worldwide trend in scholarship around software delivery. But most organizational investment still goes into project management scholarship and training." There's extensive scholarship in IT, but almost none about delivery processes until recently. The agile movement represents the first major wave of people studying what actually works for building software, rather than adapting thinking from manufacturing or construction. Yet most organizational investment continues to flow into project management certifications like PMI and Prince2, and traditional MBA programs—all teaching an approach with fundamental problems when applied to software. This creates an industry-wide challenge: when CFOs, executives, and business partners all think in project management terms, they literally cannot understand why software needs to work differently. The mental model mismatch isn't just a team problem—it's affecting everyone in the organization and the broader industry. Budget Cycles: The Project Funding Trap "You commit to a scope at the start, when you know the least about what you need to build. The budget runs out exactly when you're starting to understand what users actually need." Project thinking drives project funding: organizations approve a fixed budget (say $2M over 9 months) to deliver specific features. This seems rational and gives finance predictability, but it's completely misaligned with how software creates value. Teams commit to scope when they know the least about what needs building. The budget expires just when they're starting to understand what users actually need. When the "project" ends, the team disbands, taking all their accumulated knowledge with them. Next year, the cycle starts over with a new project, new team, and zero retained context. Meanwhile, the software itself needs continuous evolution, but the funding structure treats it as a series of temporary initiatives with hard stops. The Alternative: Incremental Funding and Real-Time Signals "Instead of approving $2M for 9 months, approve smaller increments—maybe $200K for 6 weeks. Then decide whether to continue based on what you've learned." Software-native organizations fund teams working on products, not projects. This means incremental funding decisions based on learning rather than upfront commitments. Instead of detailed estimates that pretend to predict the future, they use lightweight signals from the NoEstimates approach to detect problems early: Are we delivering value regularly? Are we learning? Are users responding positively? These signals provide more useful information than any Gantt chart. Portfolio managers shift from being "task police" asking "are you on schedule?" to investment curators asking "are we seeing the value we expected? Should we invest more, pivot, or stop?" This mirrors how venture capital works—and software is inherently more like VC than construction. Amazon exemplifies this approach, giving teams continuous funding as long as they're delivering value and learning, with no arbitrary end date to the investment. The Business/IT Separation: A Structural Disaster "'The business' doesn't understand software—and often doesn't want to. They think in terms of features and deadlines, not capabilities and evolution." Project thinking reinforces organizational separation: "the business" defines requirements, "IT" implements them, and project managers coordinate the handoff. This seems logical with clear specialization and defined responsibilities. But it creates a disaster. The business writes requirements documents without understanding what's technically possible or what users actually need. IT receives them, estimates, and builds—but the requirements are usually wrong. By the time IT delivers, the business need has changed, or the software works but doesn't solve the real problem. Sometimes worst of all, it works exactly as specified but nobody wants it. This isn't a communication problem—it's a structural problem created by project thinking. Product Thinking: Starting with Behavior Change "Instead of 'build a new reporting dashboard,' the goal is 'reduce time finance team spends preparing monthly reports from 40 hours to 4 hours.'" Software-native organizations eliminate the business/IT separation by creating product teams focused on outcomes. Using approaches like Impact Mapping, they start with behavior change instead of features. The goal becomes a measurable change in business behavior or performance, not a list of requirements. Teams measure business outcomes, not task completion—tracking whether finance actually spends less time on reports. If the first version doesn't achieve that outcome, they iterate. The "requirement" isn't sacred; the outcome is. "Business" and "IT" collaborate on goals rather than handing off requirements. They're on the same team, working toward the same measurable outcome with no walls to throw things over. Spotify's squad model popularized this approach, with each squad including product managers, designers, and engineers all focused on the same part of the product, all owning the outcome together. Risk Management Theater: The Appearance of Control "Here's the real risk in software: delivering software that nobody wants, and having to maintain it forever." Project thinking creates elaborate risk management processes—steering committees, gate reviews, sign-offs, extensive documentation, and governance frameworks. These create the appearance of managing risk and make everyone feel professional and in control. But paradoxically, the very practices meant to manage risk end up increasing the risk of catastrophic failure. This mirrors Chesterton's Fence paradox. The real risk in software isn't about following the plan—it's delivering software nobody wants and having to maintain it forever. Every line of code becomes a maintenance burden. If it's not delivering value, you're paying the cost forever or paying additional cost to re

Xmas Special: Recovering the Essence of Agile - What's Already Working in Software-Native Organizations In this BONUS Xmas Special episode, we explore what happens when we strip away the certifications and branded frameworks to recover the essential practices that make software development work. Building on Episode 2's exploration of the Project Management Trap, Vasco reveals how the core insights that sparked the Agile revolution remain valid - and how real organizations like Spotify, Amazon, and Etsy embody these principles to thrive in today's software-driven world. The answer isn't to invent something new; it's to amplify what's already working. Agile as an Idea, Not a Brand "The script (sold as the solution) will eventually kill the possibility of the conversation ever happening with any quality." We establish a parallel between good conversations and good software development. Just as creating "The Certified Conversational Method™" with prescribed frameworks and certification levels would miss the point of genuine dialogue, the commodification of agile into Agile™ has obscured its essential truth. The core idea was simple and powerful: build software in small increments, get it in front of real users quickly, learn from their actual behavior, adapt based on what you learn, and repeat continuously. This wasn't revolutionary - it was finally recognizing how software actually works. You can't know if your hypothesis about user needs is correct until users interact with it, so optimize for learning speed, not planning precision. But when the need to certify and validate "doing Agile right" took over, the idea got packaged, and often the package became more important than the principle. Four Fundamental Practices That Enable Living Software "Every deployment was a chance to see how users actually responded." Software-native organizations distinguish themselves through core practices that align with software as a living capability. In this episode, we review four critical ones: First, iterative delivery means shipping the smallest valuable increment possible and building on it - Etsy's transformation from quarterly releases in 2009 to shipping 50+ times per day by 2012 exemplifies this approach, where each small change serves as a learning opportunity. Second, tight feedback loops get software in front of real users as fast as possible, whether through paper prototypes or production deployments. Third, continuous improvement of the process itself creates meta-feedback loops, as demonstrated by Amazon's "You Build It, You Run It" principle introduced by Werner Vogels in 2006, where development teams running their own services in production learn rapidly to write more resilient code. Fourth, product thinking over project thinking organizes teams around long-lived products rather than temporary projects, allowing teams to develop deep expertise and become living capabilities themselves, accumulating knowledge and improving over time. Spotify's Evolutionary Approach "The Spotify model has nothing to do with Spotify really. It was just a snapshot of how that one company worked at the time." Spotify's journey reveals a critical insight often missed in discussions of their famous organizational model. Starting with standard Scrum methodology pre-2012, they adopted the squad model around 2012 with autonomous teams organized into tribes, documented in Henrik Kniberg and Anders Ivarsson's influential white paper (direct PDF link). But post-2016, internal staff and agile coaches noted that the "Spotify model" had become mythology, and the company had moved on from original concepts to address new challenges. As Kniberg himself later reflected, the model has taken on a life of its own, much like Lean's relationship to Toyota. The key insight isn't the specific structure - it's that Spotify treated their own organizational design as a living capability, continuously adapting based on what worked and what didn't rather than implementing "the model" and declaring victory. That's software-native thinking applied to organization design itself. Amazon's Two-Pizza Teams and Massive Scale "Amazon deploys code every 11.7 seconds on average. That's over 7,000 deployments per day across the organization." (see this YouTube video of this talk) Amazon's two-pizza team principle goes far deeper than team size. Teams small enough to be fed with two pizzas (roughly 6-10 people) gain crucial autonomy and ownership: each team owns specific services and APIs, makes their own technical decisions, runs their services in production, and manages inter-team dependencies through APIs rather than meetings. This structure enabled Amazon to scale massively while maintaining speed, as teams could iterate independently without coordinating with dozens of other teams. The staggering deployment frequency - over 7,000 times per day as of 2021 - is only possible with a software-native structure for the company itself, demonstrating that this isn't just about managing software delivery but touches everything, including how teams are organized. Why These Practices Work "These practices work because they align with what software actually is: a living, evolvable capability." The effectiveness of software-native approaches stems from their alignment with software's true nature. Traditional project approaches assume we can know requirements upfront, estimate accurately, build it right the first time, and reach a meaningful "done" state. Software-native approaches recognize that requirements emerge through interaction with users, estimation is less important than rapid learning, "right" is discovered iteratively rather than designed upfront, and "done" only happens when we stop evolving the software. When Etsy ships 50 times per day, they're optimizing for learning where each deployment is a hypothesis test. When Amazon's teams own services end-to-end, they're creating tight feedback loops where teams feel the pain of their own decisions directly. When Spotify continuously evolves their organizational model, they're treating their own structure as software that should adapt to changing needs. The Incomplete Picture and the Question of Universal Adoption "If these approaches work, why aren't they universal?" We're not trying to paint a unrealistically rosy picture - these organizations aren't perfect. Spotify has had well-documented challenges with their model, Amazon's culture has been criticized as demanding and sometimes brutal, and Etsy has gone through multiple strategic shifts. But what matters is that they're practicing software-native development at scale, and it's working well enough that they can compete and thrive. They're not following a playbook perfectly but embodying principles and adapting continuously. This raises the critical question that will be explored in the next episode: if these approaches work, why do so many organizations still operate in project mode, and why do "agile transformations" so often fail to deliver real change? Understanding the resistance - what we call The Organizational Immune System - is essential to overcoming it. References for Further Reading A book on the shift from "projects" to "products": "Project to Product" by Mik Kersten About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success.  You can link with Vasco Duarte on LinkedIn.

Xmas Special: Why project management tools fail software development - and what works instead! In this BONUS episode, we dive deep into The Project Management Trap, continuing our exploration from Episode 1 where we established that software is societal infrastructure being managed with tools from the 1800s. We examine why project management frameworks - designed for building railroads and ships - are fundamentally misaligned with software development, and what happens when we treat living capabilities like construction projects with defined endpoints. The Origin Story - Where Project Management Came From "The problem isn't that project management is bad. The problem is that software isn't building a railroad or a building, or setting up a process that will run forever (like a factory)." Project management emerged from industries with hard physical constraints - building the Transcontinental Railroad in the 1860s, coordinating factory machinery, managing finite and expensive materials. The Gantt chart, invented in the 1910s for factory scheduling, worked brilliantly for coordinating massive undertakings with calculable physics, irreversible decisions, and clear completion points. When the rails met, you were done. When the bridge was built, the project ended. These tools gave us remarkable precision for building ships, bridges, factories, and highways. But software operates in a completely different reality - one where the raw materials are time and brainpower, not minerals and hardware, and where the transformation happens in unique creative moments rather than repeated mechanical movements. The Seductive Clarity Of Project Management Artifacts "In software, we almost never know either of those things with certainty." Project management is tempting for software leaders because it offers comforting certainty. Gantt charts show every task laid out, milestones mark clear progress, "percent complete" gives us a number, and a defined "done" promises relief. The typical software project kickoff breaks down into neat phases: requirements gathering (6 weeks), design (4 weeks), development (16 weeks), testing (4 weeks), deployment (2 weeks) - total 32 weeks, done by Q3. Leadership loves this. Finance can budget it. Everyone can plan around it. But this is false precision. Software isn't pouring concrete where you measure twice and pour once. Every line of code is a hypothesis about what users need and how the system should behave. That 32-week plan assumes we know exactly what to build and exactly how long each piece takes - assumptions that are almost never true in software development. The Completion Illusion "Software products succeed by evolving. Projects end; products adapt." "Done" is the wrong goal for living software. We expand on the Slack story from Episode 1 to illustrate this point. If Slack's team had thought in project terms in 2013, they might have built a functional tool with channels, direct messages, file sharing, and search - shipped on time and on budget by Q2 2014, project complete. But that wasn't the end; it was the beginning. Through continuous user feedback and evolution, Slack added threaded conversations (2017), audio/video calls (2016), workflow automation (2019), and Canvas for knowledge management (2023). Each wasn't maintenance or bug fixing - these were fundamental enhancements. Glass's research shows that 60% of maintenance costs are enhancements, not fixes. By 2021, when Salesforce acquired Slack for $27.7 billion, it bore little resemblance to the 2014 version. The value wasn't in that initial "project" - it was in the continuous evolution. If they'd thought "build it, ship it, done," Slack would have died competing against HipChat and Campfire. When Projects Succeed (Well, Some Do, Anyway) But Software Fails "They tried to succeed at project management. They ended up failing at both software delivery AND project management!" Vasco references his article "The Software Crisis is Real," examining five distinct cases from five different countries that represent what's wrong with project thinking for software. These projects tried hard to do everything right by project management standards: detailed requirements (thousands of pages), milestone tracking, contractor coordination, hitting fixed deadlines, and proper auditing. What they didn't have was iterative delivery to test with real users early, feedback loops to discover problems incrementally, adaptability to change based on learning, or a "living capability" mindset. Project thinking demanded: get all requirements right upfront (otherwise no funding), build it all, test at the end, launch on deadline. Software thinking demands: launch something minimal early, get real user feedback, iterate rapidly, evolve the capability. These projects succeeded at following project management rules but failed at delivering valuable software. What Software-Native Delivery Management Looks Like "Software is unpredictable not because we're bad at planning - it's unpredictable because we're creating novel solutions to complex problems, and in a completely different economic system." If not projects, then what? Vasco has been exploring this question for years, since publishing the NoEstimates book. The answer starts with thinking in products and capabilities, not projects - recognizing that products have ongoing evolution, capabilities are cultivated and improved rather than "delivered" and done, and value is measured in outcomes rather than task completion. Instead of comprehensive planning, we need iteration and constant decision-making based on validated hypotheses: start with "We believe users need X," run experiments by building small and testing with real users, then learn and adapt. Instead of fixed scope, define the problem (not the solution), allow the solution to evolve as you learn, and optimize for learning speed rather than task completion.  The contrast is clear: project thinking says "We will build features A, B, C, D, and E by Q3, then we're done." Software-native thinking says "We're solving problem X for users. We'll start with the riskiest hypothesis, build a minimal version, ship it to 100 users next week, and learn whether we're on the right track." The appropriate response to software's inherent unpredictability isn't better planning - it's faster learning. References for Further Reading Vasco Duarte's article on the Software Leadership Workshop newsletter: "The Software Crisis is Real"  Glass, Robert L. "Facts and Fallacies of Software Engineering" - Fact 42: "Enhancement is responsible for roughly 60 percent of software maintenance costs. Error correction is roughly 17 percent. Therefore, software maintenance is largely about adding new capability to old software, not fixing it." NoEstimates Book: How To Measure Project Progress Without Estimating Slack evolution timeline: Company history and feature releases  The unexpected design challenge behind Slack's new threaded conversations Slack voice and video chat Slack launches admin workflow automation and announcement channels  Meet Slack Canvas - Slack's answer to the knowledge management problem. About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success. You can link with Vasco Duarte on LinkedIn.

Xmas Special: Software Industry Transformation - Why Software Development Must Mature Welcome to the 2025 Xmas special - a five-episode deep dive into how software as an industry needs to transform. In this opening episode, we explore the fundamental disconnect between how we manage software and what software actually is. From small businesses to global infrastructure, software has become the backbone of modern society, yet we continue to manage it with tools designed for building ships in the 1800s. This episode sets the stage for understanding why software development must evolve into a mature discipline. Software Runs Everything Now "Without any single piece, I couldn't operate - and I'm tiny. Scale this reality up: software isn't just in tech companies anymore." Even the smallest businesses today run entirely on software infrastructure. A small consulting and media business depends on WordPress for websites, Kajabi for courses, Stripe for payments, Quaderno for accounting, plus email, calendar, CRM systems, and AI assistants for content creation. The challenge? We're managing this critical infrastructure with tools designed for building physical structures with fixed requirements - an approach that fundamentally misunderstands what software is and how it evolves. This disconnect has to change. The Oscillation Between Technology and Process "AI amplifies our ability to create software, but doesn't solve the fundamental process problems of maintaining, evolving, and enhancing that software over its lifetime." Software improvement follows a predictable pattern: technology leaps forward, then processes must adapt to manage the new complexity. In the 1960s-70s, we moved from machine code to COBOL and Fortran, which was revolutionary but led to the "software crisis" when we couldn't manage the resulting complexity. This eventually drove us toward structured programming and object-oriented programming as process responses, which, in turn, resulted in technology changes! Today, AI tools like GitHub Copilot, ChatGPT, and Claude make writing code absurdly easy - but writing code was never the hard part. Robert Glass documents in "Facts and Fallacies of Software Engineering" that maintenance typically consumes between 40 and 80 percent of software costs, making "maintenance" probably the most important life cycle phase. We're overdue for a process evolution that addresses the real challenge: maintaining, evolving, and enhancing software over its lifetime. Software Creates An Expanding Possibility Space "If they'd treated it like a construction project ('ship v1.0 and we're done'), it would never have reached that value." Traditional project management assumes fixed scope, known solutions, and a definable "done" state. The Sydney Opera House exemplifies this: designed in 1957, completed in 1973, ten times over budget, with the architect resigning - but once built, it stands with "minimal" (compared to initial cost) maintenance. Software operates fundamentally differently. Slack started as an internal tool for a failed gaming company called Glitch in 2013. When the game failed, they noticed their communication tool was special and pivoted entirely. After launching in 2014, Slack continuously evolved based on user feedback: adding threads in 2017, calls in 2016, workflow builder in 2019, and Canvas in 2023. Each addition changed what was possible in organizational communication. In 2021, Salesforce acquired Slack for $27.7 billion precisely because it kept evolving with user needs. The key difference is that software creates possibility space that didn't exist before, and that space keeps expanding through continuous evolution. Software Is Societal Infrastructure "This wasn't a cyber attack - it was a software update gone wrong." Software has become essential societal infrastructure, not optional and not just for tech companies. In July 2024, a faulty software update from cybersecurity firm CrowdStrike crashed 8.5 million Windows computers globally. Airlines grounded flights, hospitals canceled surgeries, banks couldn't process transactions, and 911 services went down. The global cost exceeded $10 billion. This wasn't an attack - it was a routine update that failed catastrophically. AWS outages in 2021 and 2023 took down major portions of the internet, stopping Netflix, Disney+, Robinhood, and Ring doorbells from working. CloudFlare outages similarly cascaded across daily-use services. When software fails, society fails. We cannot keep managing something this critical with tools designed for building physical things with fixed requirements. Project management was brilliant for its era, but that era isn't this one. The Path Ahead: Four Critical Challenges "The software industry doesn't just need better tools - it needs to become a mature discipline." This five-episode series will address how we mature as an industry by facing four critical challenges: Episode 2: The Project Management Trap - Why we think in terms of projects, dates, scope, and "done" when software is never done, and how this mindset prevents us from treating software as a living capability Episode 3: What's Already Working - The better approaches we've already discovered, including iterative delivery, feedback loops, and continuous improvement, with real examples of companies doing this well Episode 4: The Organizational Immune System - Why better approaches aren't universal, how organizations unconsciously resist what would help them, and the hidden forces preventing adoption Episode 5: Software-Native Organizations - What it means to truly be a software-native organization, transforming how the business thinks, not just using agile on teams Software is too important to our society to keep getting it wrong. We have much of the knowledge we need - the challenge is adoption and evolution. Over the next four episodes, we'll build this case together, starting with understanding why we keep falling into the same trap. References For Further Reading Glass, Robert L. "Facts and Fallacies of Software Engineering" - Fact 41, page 115  CrowdStrike incident: https://en.wikipedia.org/wiki/2024_CrowdStrike_incident  AWS outages: 2021 (Dec 7), 2023 (June 13),  and November 2025 incidents  CloudFlare outages: 2022 (June 21), and November 2025 major incident  Slack history and Salesforce acquisition: https://en.wikipedia.org/wiki/Slack_(software)  Sydney Opera House: https://en.wikipedia.org/wiki/Sydney_Opera_House About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success. You can link with Vasco Duarte on LinkedIn.

Natalia Curusi: From Spreadsheets to Discovery—Helping POs Make the Transition The Great Product Owner: Taking Ownership and Coaching the Team Forward 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.   "That person was not just a great product owner, but a great coach—he had excellent communication and stakeholder management skills, and he coached myself as a Scrum Master, showing me how product ownership should look like." - Natalia Curusi   Natalia worked with a Product Owner who embodied everything the role should be. He didn't come from a technical background, but he possessed exceptional domain knowledge, outstanding communication skills, and stakeholder management expertise you rarely find in one person. What made him truly remarkable was that he coached everyone around him, including Natalia as the Scrum Master.  He demonstrated full empowerment and ownership—making decisions himself rather than constantly escalating to higher management. When risks needed to be taken, he took them with courage and conviction. The team trusted him completely because he balanced business needs with team capacity, always understanding what they could realistically achieve. Over the past five years, this person has been promoted multiple times and now serves as a global director of product, still with the same company.  When Natalia thinks about what great product ownership looks like, she thinks of him—someone who combined technical understanding with coaching ability, took genuine ownership of outcomes, and empowered the team through clear vision and decisive leadership. These are exactly the skills that are hardest to find in the market, yet when you find them, the impact is transformative for the entire organization.   Self-reflection Question: Does your Product Owner take ownership and make decisions, or do they constantly escalate to higher management, preventing the team from moving forward with confidence? The Bad Product Owner: Assigned Without Training, Support, or Willingness "She was a great subject matter expert with deep domain knowledge, but the organization assigned her the product owner role without her willingness, without training, and while she was already 80% loaded with other responsibilities." - Natalia Curusi   Natalia encountered a Product Owner anti-pattern that reveals a systemic organizational failure. The person was an exceptional subject matter expert with incredible domain knowledge, but when the organization decided to adopt Agile, they assigned her the PO role like sticking a label on a box—no training, no consent, no preparation. She was already working at 80% capacity on other responsibilities and had no understanding of what product ownership meant. Frustrated and overwhelmed, she approached the role from a command-and-control mindset. At the project start, she brought a massive spreadsheet of requirements, expecting the team to implement them sequentially.  The team tried a different approach, wanting to understand problems before discussing solutions, but the PO surprised everyone by re-introducing the spreadsheet in a later meeting—a clear sign of misalignment and broken trust. Natalia, recognizing this was a battle she couldn't win without organizational support, chose to manage the relationship rather than create open conflict. She worked to mediate between the PO's spreadsheet approach and the team's need for discovery and iterative development. The real anti-pattern wasn't the individual—it was the organization assigning critical roles without providing training, time, or psychological safety. This situation illustrates why product ownership fails: not from bad people, but from bad systems that set people up to fail.   Self-reflection Question: When you see a struggling Product Owner, are you addressing the individual's behavior or the systemic conditions that set them up to fail in the first place?   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Natalia Curusi   With over 20 years in software delivery, Natalia Curusi is an expert in Agile Transformations, Delivery Optimisation, and Systems Thinking. As an Agile Coach at Endava, she leads Asia Pacific initiatives, driving business agility and continuous improvement while mentoring teams to build customer-centric, high-performing, and collaborative cultures.   You can link with Natalia Curusi on LinkedIn.   You can also follow Natalia on Twitter.

Natalia Curusi: Measuring What Matters Beyond Velocity and Story Points 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 as Scrum Masters need to put a scope for ourselves—we need to aim to leave the place where we work a little bit better than it was, and to make sure that this place could improve itself without us." - Natalia Curusi   Natalia defines success for Scrum Masters with crystal clarity: leave the organization better than you found it, and ensure it can continue improving when you're gone. This means fostering independence and ownership in teams so they can perform whether you're on vacation, in another meeting, or have moved to coaching other teams.  The opposite pattern—where everything falls apart when the Scrum Master isn't present—reveals someone who hasn't truly succeeded in the role. Natalia also emphasizes the importance of establishing metrics early, but not the traditional ones.  Using velocity as a metric is an anti-pattern that focuses teams on the wrong outcomes. Instead, she recommends metrics like predictability, team morale, psychological safety measured through 360 feedback, and the quality of conversations both within teams and with stakeholders. But metrics alone don't tell the story.  Natalia champions the concept of Gemba walks—going to see what's actually happening, talking to people, observing the reality rather than just reviewing dashboard numbers. Some metrics are easily gamed, others provide only narrow perspectives on reality. The most important practice is using metrics to trigger reflection and adaptation, not as fixed targets. Natalia believes strongly that the quality of conversations—how teams discuss options, make decisions together, and adapt when facing pressure—reveals more about a Scrum Master's success than any velocity chart ever could. The ultimate question: can your team succeed without you?   Self-reflection Question: If you disappeared from your team tomorrow, would they continue improving, or would progress stop until someone replaced you? Featured Retrospective Format for the Week: Spotify Squad Health Check "This is a multidimensional retro that I run with teams every 2 to 3 months—you need around 30 minutes for it, and I often get insights and new ideas from this retrospective that help me as a Scrum Master." - Natalia Curusi   The Spotify Squad Health Check is Natalia's favorite retrospective format because it provides a comprehensive view of team health across multiple dimensions. Unlike traditional retrospectives that might focus on a single sprint or specific issue, this format examines the team's overall state across areas like teamwork, support, mission clarity, and technical quality. Teams rate themselves on various health indicators, creating a visual representation that reveals patterns over time.  What makes this particularly valuable is that it works whether you know the team well or are just starting with them—either way, you gain insights and "aha moments" about where the team truly stands. The multidimensional nature prevents teams from optimizing just one aspect while neglecting others, and the regular cadence (every 2-3 months) allows you to track trends and celebrate improvements.  For Natalia, this format consistently surfaces the hidden challenges that teams might not raise in regular retrospectives, making it an essential tool in her Scrum Master toolkit.   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Natalia Curusi   With over 20 years in software delivery, Natalia Curusi is an expert in Agile Transformations, Delivery Optimisation, and Systems Thinking. As an Agile Coach at Endava, she leads Asia Pacific initiatives, driving business agility and continuous improvement while mentoring teams to build customer-centric, high-performing, and collaborative cultures.   You can link with Natalia Curusi on LinkedIn.

Natalia Curusi: Demonstrating Your Value When the Market Questions Agile Roles 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 challenging topic is about the demand of agility in the market—how do we fit ourselves as scrum masters in that AI era? How can we demonstrate our competence and contribution when there's a perception that agile roles bring little value?" - Natalia Curusi   Natalia faces the challenge every Scrum Master in 2025 grapples with: how to demonstrate value in an era when business perceives agile roles as optional overhead. The market has contracted, companies are optimizing budgets, and Scrum Masters often appear first on the chopping block.  There's talk of "blended roles" where developers are expected to absorb Scrum Master responsibilities, and questions about how AI might replace the human facilitation work that coaches provide. But Natalia believes the answer lies in understanding something fundamental: the Scrum Master is a deeply situational and contextual role that adapts to what the team needs each day.  Some teams need help with communication spaces, others need work structure like Kanban boards, still others need translation between technical realities and stakeholder expectations. The challenge is that this situational nature makes it incredibly hard to explain to business leaders who think in fixed job descriptions and measurable outputs. Natalia's approach involves bringing metrics—not velocity, which focuses on the wrong things, but metrics around team independence, continuous improvement, and organizational capability. She suggests concepts like Gemba walks—going to see what's actually happening rather than relying only on numbers. The real question Natalia poses is this: the biggest value we can bring to an organization is to leave it better than we found it, but how do we make that visible and tangible to business stakeholders who need justification for our roles?   Self-reflection Question: If you had to demonstrate your value as a Scrum Master using only observable evidence from the past month, what would you show your leadership?   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Natalia Curusi   With over 20 years in software delivery, Natalia Curusi is an expert in Agile Transformations, Delivery Optimisation, and Systems Thinking. As an Agile Coach at Endava, she leads Asia Pacific initiatives, driving business agility and continuous improvement while mentoring teams to build customer-centric, high-performing, and collaborative cultures.   You can link with Natalia Curusi on LinkedIn.  

Natalia Curusi: The Dark Side of High-Performing Dream 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.   "I was proud of this team—I helped form them from the start, we traveled to the client together, they were mature and independent, they even jelled outside the workplace. This was my dream team." - Natalia Curusi   Natalia had built something special. The team was technically strong, emotionally connected, and highly productive. They socialized outside work, traveled together to client sites, and operated with remarkable independence. But when a new junior developer joined, everything started to unravel.  The existing team members were like heroes—fast, skilled, confident. The newcomer couldn't keep pace, and slowly Natalia noticed something disturbing: the team started making fun of the new member during retrospectives and stand-ups. The person became an outlier, a black swan ignored by the group. Natalia conducted one-on-one meetings with both the new member and the team, but the situation only worsened. The new person insisted they were fine and didn't need help. The team members claimed they were just joking around. Meanwhile, the team structure and morale deteriorated.  Natalia realized she was watching her dream team self-destruct through a form of bullying—something she hadn't even recognized at the time. Finally, she understood she couldn't handle this alone and escalated to the head of discipline and the organizational psychologist. Together, they decided to rotate the person to another team where they felt more comfortable. Natalia learned a painful lesson: as Scrum Masters, we don't need to solve everything ourselves, and sometimes the best solution is recognizing when to use the support structure around us rather than treating it as a personal failure.   In this episode, we refer to Coaching Agile Teams by Lyssa Adkins and Training from the Back of the Room by Sharon Bowman.   Self-reflection Question: When have you witnessed subtle forms of exclusion in your team, and did you recognize them early enough to intervene effectively? Featured Book of the Week: Coaching Agile Teams by Lyssa Adkins "This was the first book about agile coaching that I read, and it's how I understood that I was already playing the scrum master role without even knowing it—I understood that I was already acting like a glue for the team." - Natalia Curusi   Natalia discovered Coaching Agile Teams at a pivotal moment in her career. The book revealed something profound: if you're irreplaceable, there's a problem. A great Scrum Master or coach makes themselves obsolete by growing team members who can replace them. The team should be able to perform independently when you're on vacation or move to another assignment. Lyssa Adkins showed Natalia that she needed to let go of over-control and over-responsibility, focusing instead on growing the team's capabilities. The book remains one of Natalia's top recommendations for every junior Scrum Master wanting to embrace the role, alongside Training from the Back of the Room, which teaches facilitators how to run interactive workshops where people learn from each other rather than just listening to slides.   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Natalia Curusi   With over 20 years in software delivery, Natalia Curusi is an expert in Agile Transformations, Delivery Optimisation, and Systems Thinking. As an Agile Coach at Endava, she leads Asia Pacific initiatives, driving business agility and continuous improvement while mentoring teams to build customer-centric, high-performing, and collaborative cultures.   You can link with Natalia Curusi on LinkedIn.  

Natalia Curusi: When Your Technical Expertise Becomes Your Biggest Scrum Master Weakness 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 thought my technical background was my biggest strength, but I understood that this was my biggest weakness—I was coming into stand-ups saying 'I know how we need to fix that issue,' and I was a Scrum Master." - Natalia Curusi   Natalia stepped into her first blended role as team leader and Scrum Master full of confidence. With years of programming experience behind her, she believed she could guide her team through any technical challenge. But during morning stand-ups, she found herself suggesting solutions, directing technical approaches, and sharing her expertise freely. The team listened—after all, she was their former leader. They implemented her suggestions, but when those solutions failed, the team didn't have the thinking process to adapt them to their context.  Natalia realized she was preventing the team's learning and ownership by taking control away from them. The turning point came when she made a deliberate choice: she selected the most technical person on the team to become the technical authority and committed to never stepping on his feet again. From that moment forward, she focused purely on the Scrum Master role—asking questions, fostering collaboration, and shutting up to listen actively.  Years later, that technical lead followed her to another job, and they remain friends to this day. Natalia learned that her contribution wasn't about giving solutions—it was about keeping the team from losing ownership of their work.   Self-reflection Question: When you attend your team's daily stand-up, are you contributing to collaboration, or is your contribution keeping the team from owning their work?   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Natalia Curusi   With over 20 years in software delivery, Natalia Curusi is an expert in Agile Transformations, Delivery Optimisation, and Systems Thinking. As an Agile Coach at Endava, she leads Asia Pacific initiatives, driving business agility and continuous improvement while mentoring teams to build customer-centric, high-performing, and collaborative cultures.   You can link with Natalia Curusi on LinkedIn.  

BONUS: Swimming in Tech Debt — Practical Techniques to Keep Your Team from Drowning in Its Codebase In this fascinating conversation, veteran software engineer and author Lou Franco shares hard-won lessons from decades at startups, Trello, and Atlassian. We explore his book "Swimming in Tech Debt," diving deep into the 8 Questions framework for evaluating tech debt decisions, personal practices that compound over time, team-level strategies for systematic improvement, and leadership approaches that balance velocity with sustainability. Lou reveals why tech debt is often the result of success, how to navigate the spectrum between ignoring debt and rewriting too much, and practical techniques individuals, teams, and leaders can use starting today. The Exit Interview That Changed Everything "We didn't go slower by paying tech debt. We went actually faster, because we were constantly in that code, and now we didn't have to run into problems." — Lou Franco   Lou's understanding of tech debt crystallized during an exit interview at Atalasoft, a small startup where he'd spent years. An engineer leaving the company confronted him: "You guys don't care about tech debt." Lou had been focused on shipping features, believing that paying tech debt would slow them down. But this engineer told a different story — when they finally fixed their terrible build and installation system, they actually sped up. They were constantly touching that code, and removing the friction made everything easier. This moment revealed a fundamental truth: tech debt isn't just about code quality or engineering pride. It's about velocity, momentum, and the ability to move fast sustainably. Lou carried this lesson through his career at Trello (where he learned the dangers of rewriting too much) and Atlassian (where he saw enterprise-scale tech debt management). These experiences became the foundation for "Swimming in Tech Debt." Tech Debt Is the Result of Success "Tech debt is often the result of success. Unsuccessful projects don't have tech debt." — Lou Franco   This reframes the entire conversation about tech debt. Failed products don't accumulate debt — they disappear before it matters. Tech debt emerges when your code survives long enough to outlive its original assumptions, when your user base grows beyond initial expectations, when your team scales faster than your architecture anticipated. At Atalasoft, they built for 10 users and got 100. At Trello, mobile usage exploded beyond their web-first assumptions. Success creates tech debt by changing the context in which code operates. This means tech debt conversations should happen at different intensities depending on where you are in the product lifecycle. Early startups pursuing product-market fit should minimize tech debt investments — move fast, learn, potentially throw away the code. Growth-stage companies need balanced approaches. Mature products benefit significantly from tech debt investments because operational efficiency compounds over years. Understanding this lifecycle perspective helps teams make appropriate decisions rather than applying one-size-fits-all rules. The 8 Questions Framework for Tech Debt Decisions "Those 8 questions guide you to what you should do. If it's risky, has regressions, and you don't even know if it's gonna work, this is when you're gonna do a project spike." — Lou Franco   Lou introduces a systematic framework for evaluating whether to pay tech debt, inspired by Bob Moesta's push-pull forces from product management. The 8 questions create a complete picture:   Visibility — Will people outside the team understand what we're doing? Alignment — Does this match our engineering values and target architecture? Resistance — How hard is this code to work with right now? Volatility — How often do we touch this code? Regression Risk — What's the chance we'll introduce new problems? Project Size — How big is this to fix? Estimate Risk — How uncertain are we about the effort required? Outcome Uncertainty — How confident are we the fix will actually improve things?   High volatility and high resistance with low regression risk? Pay the debt now. High regression risk with no tests? Write tests first, then reassess. Uncertain outcomes on a big project? Do a spike or proof of concept. The framework prevents both extremes — ignoring costly debt and undertaking risky rewrites without proper preparation. Personal Practices That Compound Daily "When I sit down at my desk, the first thing I do is I pay a little tech debt. I'm looking at code, I'm about to change it, do I even understand it? Am I having some kind of resistance to it? Put in a little helpful comment, maybe a little refactoring." — Lou Franco   Lou shares personal habits that create compounding improvements over time. Start each coding session by paying a small amount of tech debt in the area you're about to work — add a clarifying comment, extract a confusing variable, improve a function name. This warms you up, reduces friction for your actual work, and leaves the code slightly better than you found it. The clean-as-you-go philosophy means tech debt never accumulates faster than you can manage it. But Lou's most powerful practice comes at the end of each session: mutation testing by hand. Before finishing for the day, deliberately break something — change a plus to minus, a less-than to less-than-or-equal. See if tests catch it. Often they don't, revealing gaps in test coverage. The key insight: don't fix it immediately. Leave that failing test as the bridge to tomorrow's coding session. It connects today's momentum to tomorrow's work, ensuring you always start with context and purpose rather than cold-starting each day. Mutation Testing: Breaking Things on Purpose "Before I'm done working on a coding session, I break something on purpose. I'll change a plus to a minus, a less than to a less than equals, and see if tests break. A lot of times tests don't break. Now you've found a problem in your test." — Lou Franco   Manual mutation testing — deliberately breaking code to verify tests catch the break — reveals a critical gap in most test suites. You can have 100% code coverage and still have untested behavior. A line of code that's executed during tests isn't necessarily tested — the test might not actually verify what that line does. By changing operators, flipping booleans, or altering constants, you discover whether your tests protect against actual logic errors or just exercise code paths. Lou recommends doing this manually as part of your daily practice, but automated tools exist for systematic discovery: Stryker (for JavaScript, C#, Scala) and MutMut (for Python) can mutate your entire codebase and report which mutations survive uncaught. This isn't just about test quality — it's about understanding what your code actually does and building confidence that changes won't introduce subtle bugs. Team-Level Practices: Budgets, Backlogs, and Target Architecture "Create a target architecture document — where would we be if we started over today? Every PR is an opportunity to move slightly toward that target." — Lou Franco   At the team level, Lou advocates for three interconnected practices. First, create a target architecture document that describes where you'd be if starting fresh today — not a detailed design, but architectural patterns, technology choices, and structural principles that represent current best practices. This isn't a rewrite plan; it's a North Star. Every pull request becomes an opportunity to move incrementally toward that target when touching relevant code. Second, establish a budget split between PM-led feature work and engineering-led tech debt work — perhaps 80/20 or whatever ratio fits your product lifecycle stage. This creates predictable capacity for tech debt without requiring constant negotiation. Third, hold quarterly tech debt backlog meetings separate from sprint planning. Treat this backlog like PMs treat product discovery — explore options, estimate impacts, prioritize based on the 8 Questions framework. Some items fit in sprints; others require dedicated engineers for a quarter or two. This systematic approach prevents tech debt from being perpetually deprioritized while avoiding the opposite extreme of engineers disappearing into six-month "improvement" projects with no visible progress. The Atlassian Five-Alarm Fire "The Atlassian CTO's 'five-alarm fire' — stopping all feature development to focus on reliability. I reduced sync errors by 75% during that initiative." — Lou Franco   Lou shares a powerful example of leadership-driven tech debt management at scale. The Atlassian CTO called a "five-alarm fire" — halting all feature development across the company to focus exclusively on reliability and tech debt. This wasn't panic; it was strategic recognition that accumulated debt threatened the business. Lou worked on reducing sync errors, achieving a 75% reduction during this focused period. The initiative demonstrated several leadership principles: willingness to make hard calls that stop revenue-generating feature work, clear communication of why reliability matters strategically, trust that teams will use the time wisely, and commitment to see it through despite pressure to resume features. This level of intervention is rare and shouldn't be frequent, but it shows what's possible when leadership truly prioritizes tech debt. More commonly, leaders should express product lifecycle constraints (startup urgency vs. mature product stability), give teams autonomy to find appropriate projects within those constraints, and require accountability through visible metrics and dashboards that show progress. The Rewrite Trap: Why Big Rewrites Usually Fail "A system that took 10 years to write has implicit knowledge that can't be replicated in 6 months. I'm mostly gonna advocate for pie

BONUS: The Agile Organization as a Learning System Think Like a Farmer, Not a Factory Manager "Go slow to go fast. If you want to go somewhere, go together as a team. Take a farmer's mentality."   Simon contrasts monoculture industrial thinking with the permaculture approach of Joel Salatin. Industrial approaches optimize for short-term efficiency but create fragile systems. Farmer thinking recognizes that healthy ecosystems require patience, diversity, and nurturing conditions for growth. The nervous system that's constantly stressed never builds much over time—think of the body, trust the body, let the body be a body. Value Masters, Not Scrum Masters "We need value masters, not Scrum Masters. Agile is a useful tool for delivering value, but value itself is primary. Everything else is secondary—Agile included."   Tom makes his most provocative point: if you asked a top manager whether they'd prefer an agile person or value delivery, the answer is obvious. Agile is one tactic among many for delivering value—not even a necessary one. The shift required is from process mastery to value mastery, from Scrum Masters to people who understand and can deliver on critical stakeholder values. The DOVE Manifesto "I wrote a paper called DOVE—Deliver Optimum Values Efficiently. It's the manifesto focusing on delivering value, delivering value, delivering value."   Tom offers his alternative to the Agile Manifesto: a set of principles laser-focused on value delivery. The document includes 10 principles on a single page that can guide any organization toward genuine impact. Everything else—processes, frameworks, methodologies—are secondary tools in service of this primary goal. Read Tom's DOVE manifesto here.  Building the Glue Between Social and Physical Technology "Value is created in interactions. That's where the social and physical technology meet—that joyous boundary where stuff gets done."   Simon describes seeing the world through two lenses: physical technology (visible tools and systems) and social technology (culture, relationships, the air we breathe). Eric Beinhoeker's insight is that progress happens at the intersection. The Gilbian learning loops provide the structure; trust and human connection provide the fuel. Together, they create organizations that can actually learn and adapt.   Further Reading To Support Your Learning Journey Resources & Further Reading Explore these curated resources to deepen your understanding of strategic planning, value-based management, and transformative organizational change.     📚 Essential Reading Competitive Engineering  Tom Gilb's seminal book on requirements engineering and value-based development approaches. What is Wrong with OKRs (Paper by Tom Gilb) A critical analysis of the popular OKR framework and its limitations in measuring real value. DOVE Manifesto by Tom Gilb Detailed exploration of the DOVE (Design Of Value Engineering) methodology for quantifying and optimizing stakeholder value.     🎓 Learning Materials Tom Gilb's Strategy Ringbook A comprehensive collection of strategic planning principles and practical frameworks. Tom Gilb's Video at the Strategy Meetup Watch Tom Gilb discuss key strategic concepts and answer questions from the community. Design Process Paper by Tom Gilb An in-depth look at value-driven design processes and their practical application. Esko Kilpi's Work on Conversations Exploring how organizational conversations shape thinking, decision-making, and change.     🧭 Frameworks & Models OODA Loop The Observe-Orient-Decide-Act decision cycle for rapid strategic thinking and adaptation.     🎯 Practical Tips Measurement of Increased Value Focus on tracking actual value delivery rather than activity completion. Establish baseline measurements and regularly assess improvements in stakeholder-defined value dimensions. Quantify Critical Values Identify the 3-5 most important value attributes for your stakeholders. Make these concrete and measurable, avoiding vague qualities in favor of specific, quantifiable metrics. Measurement vs Testing Process Understand the distinction: measurement tells you how much value exists, while testing validates whether something works. Use both strategically—test hypotheses early, then measure outcomes continuously.     🔗 Related Profiles Todd Covert - Montessori School of the Berkshires Educational leadership and innovative approaches to value-based learning environments.   About Tom Gilb and Simon Holzapfel   Tom Gilb, born in the US, lived in London, and then moved to Norway in 1958. An independent teacher, consultant, and writer, he has worked in software engineering, corporate top management, and large-scale systems engineering. As the saying goes, Tom was writing about Agile before Agile was named. In 1976, Tom introduced the term "evolutionary" in his book Software Metrics, advocating for development in small, measurable steps. Today, we talk about Evo, the name Tom uses to describe his approach. Tom has worked with Dr. Deming and holds a certificate personally signed by him. You can listen to Tom Gilb's previous episodes here.    You can link with Tom Gilb on LinkedIn    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. And you can listen to Simon's previous episodes on the podcast here.    You can link with Simon Holzapfel on LinkedIn.  

BONUS: Quality 5.0—Quantifying the "Unmeasurable" With Tom Gilb and Simon Holzapfel Clarification Before Quantification "Quantification is not the main idea. The key idea is clarification—so that the executive team understands each other."   Tom emphasizes that measurement is a means to an end. The real goal is shared understanding. But quantification is a powerful clarification tactic because it forces precision. When someone says they want a "very fast car," asking "can we define a scale of measure?" immediately surfaces the vagueness. Miles per hour? Acceleration time? Top speed? Each choice defines what you're actually optimizing for. The Scale-Meter-Target Framework "First, define a scale of measure. Second, define the meter—the device for measuring. Third, set numbers: where are we now, what's the minimum to survive, and what does success look like?"   Tom's framework makes the abstract concrete:   Scale of measure: What dimension are you measuring? (e.g., time to complete task) Meter: How will you measure it? (e.g., user testing with stopwatch) Past/Status: Where are you now? (e.g., currently takes 47 seconds) Tolerable: What's the minimum acceptable? (e.g., must be under 30 seconds to survive) Target/Goal: What does success look like? (e.g., 15 seconds or less)   Many important concepts like "usability" decompose into 10+ different scales of measure—you're not looking for one magic number but a set of relevant metrics. Trust as the Organizational Hormone "Change moves at the speed of trust. Once there's trust, information flows. Once information flows, the system comes to life and can learn. Until there's trust, you have the Soviet problem."   Simon introduces trust as the "human growth hormone" of organizational change—it's fast, doesn't require a user's manual, and enables everything else. Low-trust environments hoard information, guaranteeing poor outcomes. The practical advice? Make your work visible to your manager, alignment-check first, do something, show results. Living the learning cycle yourself builds trust incrementally. And as Tom adds: if you deliver increased critical value every week, you will build trust.   About Tom Gilb and Simon Holzapfel   Tom Gilb, born in the US, lived in London, and then moved to Norway in 1958. An independent teacher, consultant, and writer, he has worked in software engineering, corporate top management, and large-scale systems engineering. As the saying goes, Tom was writing about Agile before Agile was named. In 1976, Tom introduced the term "evolutionary" in his book Software Metrics, advocating for development in small, measurable steps. Today, we talk about Evo, the name Tom uses to describe his approach. Tom has worked with Dr. Deming and holds a certificate personally signed by him. You can listen to Tom Gilb's previous episodes here.    You can link with Tom Gilb on LinkedIn    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. And you can listen to Simon's previous episodes on the podcast here.    You can link with Simon Holzapfel on LinkedIn.  

BONUS: Testing as Measurement—Why Bug-Hunting Misses the Point With Tom Gilb and Simon Holzapfel The Revelation That Almost Caused a Car Crash "Tom said like 10 sentences in a row, kind of like a geometric proof, that just so blew my mind I almost drove off the road. I realized I had wasted hundreds of hours in boardrooms arguing about errors of which we were aware of perhaps 10%."   Simon shares the moment Tom's framework clicked for him. The insight? Traditional testing—finding bugs and defects—is the wrong focus entirely. It's a programmer's view of the world. Managers don't care about bugs; they care about results, about improvements in their business. Tom calls this shift moving from "testing" to "measurement of enhanced or increased value at every cycle." The American Toast Problem "How do we make toast in America? We burn the toast, and then we pay someone to scrape off the black bits off the bread."   Vasco invokes Deming's classic analogy to describe traditional software testing. The entire testing-at-the-end approach is fundamentally wasteful. Instead, Tom advocates for continuous measurement against quantified values. If you expected 3% progress toward your goals this week and didn't get it, you've learned something critical: your strategy needs to change. If you did get it, keep going with confidence. Four Questions at Every Checkpoint "Where are we going? Where are we now? Where should we have been at this point? And why is there a gap?"   Drawing from fighter pilot doctrine, these four questions should be asked at every micro-cycle—not just at quarterly reviews. Fighter pilots ask these questions every minute during critical missions, with clear abort criteria if answers are unacceptable. Most organizations have no abort criteria for their strategies at all, guaranteeing they'll discover failures far too late.   About Tom Gilb and Simon Holzapfel   Tom Gilb, born in the US, lived in London, and then moved to Norway in 1958. An independent teacher, consultant, and writer, he has worked in software engineering, corporate top management, and large-scale systems engineering. As the saying goes, Tom was writing about Agile before Agile was named. In 1976, Tom introduced the term "evolutionary" in his book Software Metrics, advocating for development in small, measurable steps. Today, we talk about Evo, the name Tom uses to describe his approach. Tom has worked with Dr. Deming and holds a certificate personally signed by him. You can listen to Tom Gilb's previous episodes here.    You can link with Tom Gilb on LinkedIn    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. And you can listen to Simon's previous episodes on the podcast here.    You can link with Simon Holzapfel on LinkedIn.

BONUS: Continuous Strategy Engineering—Beyond Waterfall Planning With Tom Gilb and Simon Holzapfel Strategy Professors Are Decades Behind "The professors of strategy have no clue as to what Evo is. They are locked in decades ago, waterfall mode."   Tom's analysis is stark: the people teaching strategy in business schools haven't undergone the same agile transformation that software development experienced. They still think in terms of 5-year plans that get tested at the end—a guaranteed recipe for discovering failure too late. The alternative? Decompose any large strategy into weekly value delivery steps. And if you think that's impossible, ask any AI to do it for you—it will produce 52 reasonable weekly increments in about a minute. Why OKRs Aren't Enough for Complex Systems "If you're doing small-scale stuff that OKRs were designed for, like planning your personal work 14 days hence, OKRs are wonderful. If you're designing the air traffic control system for Europe, they're just too simple."   Tom distinguishes between tools appropriate for personal productivity and those needed for complex organizational strategy. OKRs force some thinking, which is good, but they weren't designed for—and have never been adapted to—large-scale systems engineering. His paper "What is Wrong with OKRs?" documents roughly 100 gaps between simple OKRs and what robust value requirements actually require. Check out Tom Gilb's paper on what's wrong with OKR's and how to fix it.  The Missing Alignment Layer "We have no mental model for most of leadership about how you actually align people around clear vision."   Simon introduces the concept of a Hoshin-Kanri "sprinkler" system—imagine strategic clarity flowing from the top and misting over everyone's desk as alignment. Most organizations lack anything resembling this. They have Moses descending from expensive consultant retreats with tablets, but no continuous two-way flow of strategic information. The result? Teams work hard on things that don't matter while critical values go unaddressed. About Tom Gilb and Simon Holzapfel   Tom Gilb, born in the US, lived in London, and then moved to Norway in 1958. An independent teacher, consultant, and writer, he has worked in software engineering, corporate top management, and large-scale systems engineering. As the saying goes, Tom was writing about Agile before Agile was named. In 1976, Tom introduced the term "evolutionary" in his book Software Metrics, advocating for development in small, measurable steps. Today, we talk about Evo, the name Tom uses to describe his approach. Tom has worked with Dr. Deming and holds a certificate personally signed by him. You can listen to Tom Gilb's previous episodes here.    You can link with Tom Gilb on LinkedIn    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. And you can listen to Simon's previous episodes on the podcast here.    You can link with Simon Holzapfel on LinkedIn.

BONUS: Impact Engineering—Finding Agile's Lost North Star With Tom Gilb and Simon Holzapfel The Clarity Problem: Why Organizations Start with "Fuzzy B*S*!" "Everybody seems to start from a position of fuzzy b*s*. Nice-sounding words. Management does it, professors do it, politicians do it. And they don't even feel very guilty about it."   Tom Gilb doesn't mince words when describing how most organizations define their objectives. The fundamental problem isn't a lack of ambition—it's a lack of clarity. When leaders are asked about their critical values like "extremely high security" or "employee happiness," they typically respond with circular definitions that provide no actionable direction. Tom's approach starts by exposing this gap and then demonstrating that any value—no matter how "soft" or intangible it seems—can be quantified. Using AI tools, he's shown clients over 1,400 different ways to measure human happiness alone. Why Agile Lost Its North Star "Agile's lost its North Star because the economic problems it was trying to solve within the organization are now mismatched with the digital world."   Simon Holzapfel offers a structural analysis: Agile developed primarily to allay the concerns of pre-digital capital—investors who needed reassurance that their money wouldn't disappear into failed projects. But today's digital economy operates differently. Capital now moves like a service (SaaS model), and innovation is fundamentally stochastic—you can't predict when breakthroughs will happen. Organizations using flow-focused tools when the real problem is value creation are applying yesterday's solutions to today's challenges. The First Step: Quantify Your Critical Values "If you ask AI to quantify employee happiness a hundred different ways, it will do it in one minute for free. So you can no longer be in denial."   The path forward starts with brutal honesty about what your organization actually cares about. Tom's approach involves:   Identifying the top 10 critical stakeholder values Defining clear scales of measure for each Establishing where you are now (status) Setting where you need to be to survive (tolerable level) Defining what success looks like (target/goal level)   This isn't about adding bureaucracy—it's about creating shared clarity that enables everyone to row in the same direction.   About Tom Gilb and Simon Holzapfel   Tom Gilb, born in the US, lived in London, and then moved to Norway in 1958. An independent teacher, consultant, and writer, he has worked in software engineering, corporate top management, and large-scale systems engineering. As the saying goes, Tom was writing about Agile before Agile was named. In 1976, Tom introduced the term "evolutionary" in his book Software Metrics, advocating for development in small, measurable steps. Today, we talk about Evo, the name Tom uses to describe his approach. Tom has worked with Dr. Deming and holds a certificate personally signed by him. You can listen to Tom Gilb's previous episodes here.    You can link with Tom Gilb on LinkedIn    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. And you can listen to Simon's previous episodes on the podcast here.    You can link with Simon Holzapfel on LinkedIn.

Scott Smith: Empathy and Availability Define Excellent Product Ownership 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: Always Present, Always Available, Always Curious "They are always present. They always make themselves available for team members that need them." - Scott Smith   Scott is currently working with a Product Owner who exemplifies what great PO collaboration looks like. This person is always present—not just physically but mentally engaged with the team's work and challenges. They make themselves available for team members who need them, responding actively on the team chat and interacting consistently.  What makes this PO stand out is their empathy and curiosity. Instead of being defensive when questions arise or challenges emerge, they lean into helping the team understand and solve problems. They show genuine curiosity about what the team is experiencing, asking questions and exploring solutions together rather than dictating answers.  This PO understands that their role isn't to be the smartest person in the room but to be the most available, most collaborative, and most curious. The result is a team that feels supported and empowered, with clear direction and someone who genuinely helps them answer the hard questions. Scott's experience with this PO demonstrates that presence, availability, empathy, and curiosity are the foundations of great Product Owner work.   Self-reflection Question: How present and available are you to your team, and do you approach their questions with curiosity or defensiveness? The Bad Product Owner: Never There When the Team Needs Direction "The PO was never present. The team had lack of clarity, and vision, and had no direction or someone who would help answer those questions." - Scott Smith   Scott has also experienced the opposite extreme—a Product Owner who was never present. This absence created a cascade of problems for the team. Without regular access to the PO, the team lacked clarity about priorities, vision, and direction. They had questions that went unanswered and decisions that couldn't be made.  The result was frustration and a team that couldn't move forward effectively. An absent PO creates a vacuum where uncertainty thrives. Teams end up making assumptions, second-guessing decisions, and feeling disconnected from the purpose of their work.  The lack of someone who can help answer strategic questions or provide guidance means the team operates in the dark, building things without confidence that they're building the right things. Scott's experience highlights a fundamental truth about Product Ownership: presence isn't optional.  Teams need a PO who shows up, engages, and stays connected to the work. Without that presence, even the most skilled team will struggle to deliver value because they can't align their efforts with the product vision and customer needs.   Self-reflection Question: If your team were asked whether you're present and available as a Product Owner or Scrum Master, what would they say?   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Scott Smith   Scott Smith is a 53-year-old professional based in Perth, Australia. He balances a successful career with a strong focus on health and fitness, currently preparing for bodybuilding competitions in 2026. With a background in leadership and coaching, Scott values growth, discipline, and staying relevant in a rapidly changing world.   You can link with Scott Smith on LinkedIn.  

Scott Smith: Using MIRO to Build a Living Archive of Learning 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're in a servant leadership role. So, ask: is the team thriving? That's a huge indication of success." - Scott Smith   For Scott, success as a Scrum Master isn't measured by velocity charts or burn-down graphs—it's measured by whether the people are thriving. This includes everyone: the development team and the Product Owner.  As a servant leader, Scott's focus is on creating conditions where teams can flourish, and he has practical ways to gauge that health. Scott does a light touch check on a regular basis and a deeper assessment quarterly. Mid-sprint, he conducts what he calls a "vibe" check—a quick pulse to understand how people are feeling and what they need. During quarterly planning, the team retrospects and celebrates achievements from the past quarter, keeping and tracking actions to ensure continuous improvement isn't just talked about but lived. Scott's approach recognizes that success is both about the work being done and the people doing it. When teams feel supported, heard, and valued, the work naturally flows better. This people-first perspective defines what great servant leadership looks like in practice.   Self-reflection Question: How often do you check in on whether your team is truly thriving, and what specific indicators tell you they are? Featured Retrospective Format for the Week: MIRO as a Living History Museum "Use the multiple retros in the MIRO board as a shared history museum for the team." - Scott Smith   Scott leverages MIRO not just as a tool for running retrospectives but as a living archive of team learning and growth. He uses MIROVERSE templates to bring diversity to retrospective conversations, exploring the vast library of pre-built formats that offer themed and structured approaches to reflection. The magic happens when Scott treats each retrospective board not as a disposable artifact but as part of the team's shared history museum.  Over time, the accumulation of retrospective boards tells the story of the team's journey—what they struggled with, what they celebrated, what actions they took, and how they evolved. This approach transforms retrospectives from isolated events into a continuous narrative of improvement. Teams can look back at previous retros to see patterns, track whether actions were completed, and recognize how far they've come. MIRO becomes both the canvas for current reflection and the archive of collective learning, making improvement visible and tangible across time.   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Scott Smith   Scott Smith is a 53-year-old professional based in Perth, Australia. He balances a successful career with a strong focus on health and fitness, currently preparing for bodybuilding competitions in 2026. With a background in leadership and coaching, Scott values growth, discipline, and staying relevant in a rapidly changing world.   You can link with Scott Smith on LinkedIn.

Scott Smith: Building a Coaching Service Where Survey Scores Become Living Improvement 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 is about feedback from coaching clients." - Scott Smith   Scott is tackling one of the most challenging aspects of organizational transformation: turning annual survey results into continuous improvement. Working with a domain of about 30 people, Scott is exploring how to create a coaching service that doesn't just react to once-a-year data but actively drives ongoing growth. The typical pattern in many organizations is familiar—conduct an annual survey, review the scores, maybe have a few discussions, and then wait another year. Scott is experimenting with a different approach.  He's setting up a coaching service that focuses on real-time feedback from the people being coached, making improvement a living practice rather than an annual event. The strategy starts with a pilot, testing the concept before scaling across the entire domain. Scott's measure of success is pragmatic and human-centered: feedback from coaching clients. Not abstract metrics or theoretical frameworks, but whether the people receiving coaching find value in what's being offered.  This approach reflects a fundamental principle of Agile coaching—start small, experiment, gather feedback, and iterate based on what actually works for the people involved. Scott is building improvement infrastructure that puts continuous learning at the center, transforming how organizations think about growth from an annual checkbox into an ongoing conversation.   Self-reflection Question: If you were to implement a coaching service in your organization, how would you measure its success beyond traditional survey scores?   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Scott Smith   Scott Smith is a 53-year-old professional based in Perth, Australia. He balances a successful career with a strong focus on health and fitness, currently preparing for bodybuilding competitions in 2026. With a background in leadership and coaching, Scott values growth, discipline, and staying relevant in a rapidly changing world.   You can link with Scott Smith on LinkedIn.

Scott Smith: Why Great Scrum Masters Create Space for Breaks 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.   "Think of the people involved. Put yourself in the shoes of the other." - Scott Smith   Scott found himself in the middle of rising tension as voices escalated between the Product Owner and the development team. The PO was harsh, emotions were running high, and the conflict was intensifying with each exchange. In that moment, Scott knew he had to act.  He stepped in with a simple but powerful reminder: "We're on the same team." That pause—that momentary break—allowed everyone to step back and reset. Both the PO and the team members later thanked Scott for his intervention, acknowledging they needed that space to cool down and refocus on their shared outcome.  Scott's approach centers on empathy and perspective-taking. He emphasizes thinking about the people involved and putting yourself in their shoes. When tensions rise, sometimes the most valuable contribution a Scrum Master can make is creating space for a break, reminding everyone of the shared goal, and helping teams focus on the outcome rather than the conflict. It's not about taking sides—it's about serving the team by being the calm presence that brings everyone back to what matters most.   Self-reflection Question: When you witness conflict between team members or between the team and Product Owner, do you tend to jump in immediately or create space for the parties to find common ground themselves? Featured Book of the Week: An Ex-Manager Who Believed "It was about having someone who believed in me." - Scott Smith   Scott's most influential "book" isn't printed on pages—it's a person. After spending 10 years as a Business Analyst, Scott decided to take the Professional Scrum Master I (PSM I) course and look for a Scrum Master position. That transition wasn't just about skills or certification; it was about having an ex-manager who inspired him to chase his goals and truly believed in him. This person gave Scott the confidence to make a significant career pivot, demonstrating that sometimes the most powerful catalyst for growth is someone who sees your potential before you fully recognize it yourself. Scott's story reminds us that great leadership isn't just about managing tasks—it's about inspiring people to reach for goals they might not have pursued alone. The belief and encouragement of a single person can change the trajectory of someone's entire career.   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Scott Smith   Scott Smith is a 53-year-old professional based in Perth, Australia. He balances a successful career with a strong focus on health and fitness, currently preparing for bodybuilding competitions in 2026. With a background in leadership and coaching, Scott values growth, discipline, and staying relevant in a rapidly changing world.   You can link with Scott Smith on LinkedIn.

Scott Smith: The Spotlight Failure That Taught a Silent Lesson About Recognition 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.   "Not everybody enjoys the limelight and being called out, even for great work." - Scott Smith   Scott was facilitating a multi-squad showcase with over 100 participants, and everything seemed to be going perfectly. Each squad had their five-minute slot to share achievements from the sprint, and Scott was coordinating the entire event. When one particular team member delivered what Scott considered fantastic work, he couldn't help but publicly recognize them during the introduction.  It seemed like the perfect moment to celebrate excellence in front of the entire organization. But then his phone rang. The individual he had praised was unhappy—really unhappy. What Scott learned in that moment transformed his approach to recognition forever. The person was quiet, introverted, and conservative by nature.  Being called out without prior notice or permission in front of 100+ people wasn't a reward—it was uncomfortable and unwelcome. Scott discovered that even positive recognition requires consent and awareness of individual preferences. Some people thrive in the spotlight, while others prefer their contributions to be acknowledged privately. The relationship continued well afterward, but the lesson stuck: check in with individuals before publicly recognizing them, understanding that great coaching means respecting how people want to be celebrated, not just that they should be celebrated.   Self-reflection Question: How do you currently recognize team members' achievements, and have you asked each person how they prefer to be acknowledged for their contributions?   [The Scrum Master Toolbox Podcast Recommends] 🔥In the ruthless world of fintech, success isn't just about innovation—it's about coaching!🔥 Angela thought she was just there to coach a team. But now, she's caught in the middle of a corporate espionage drama that could make or break the future of digital banking. Can she help the team regain their mojo and outwit their rivals, or will the competition crush their ambitions? As alliances shift and the pressure builds, one thing becomes clear: this isn't just about the product—it's about the people.   🚨 Will Angela's coaching be enough? Find out in Shift: From Product to People—the gripping story of high-stakes innovation and corporate intrigue.   Buy Now on Amazon   [The Scrum Master Toolbox Podcast Recommends]   About Scott Smith   Scott Smith is a 53-year-old professional based in Perth, Australia. He balances a successful career with a strong focus on health and fitness, currently preparing for bodybuilding competitions in 2026. With a background in leadership and coaching, Scott values growth, discipline, and staying relevant in a rapidly changing world.   You can link with Scott Smith on LinkedIn.