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Scrum Master Toolbox Podcast: Agile storytelling from the trenches

Vasco Duarte, Agile Coach, Certified Scrum Master, Certified Product Owner
Scrum Master Toolbox Podcast: Agile storytelling from the trenches
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  • Managing Dependencies and Downstream Bottlenecks in Scrum | Renee Troughton
    Renee Troughton: Managing Dependencies and Downstream Bottlenecks in Scrum Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "For the actual product teams, it's not a problem for them... It's more the downstream teams that aren't the product teams, that are still dependencies... They just don't see that work until, hey, we urgently need this." Renee brings a dual-edged challenge from her current work with dozens of teams across multiple business lines. While quarterly planning happens at a high level, small downstream teams—middleware, AI, data, and even non-technical teams like legal—are not considered in the planning process. These teams experience unexpected work floods with dramatic peaks and troughs throughout the quarter. The product teams are comfortable with ambiguity and incremental delivery, but downstream service teams don't see work coming until it arrives urgently. Through a coaching conversation, Renee and Vasco explore multiple experimental approaches: top-to-bottom stack ranking of initiatives, holding excess capacity based on historical patterns, shared code ownership where downstream teams advise rather than execute changes, and using Theory of Constraints to manage flow into bottleneck teams. They discuss how lack of discovery work compounds the problem, as teams "just start working" without identifying all players who need involvement. The solution requires balancing multiple strategies while maintaining an experimentation mindset, recognizing that complex systems require sensing our way toward solutions rather than predicting them. Self-reflection Question: Are you actively managing the flow of work to prevent downstream bottlenecks, or are you allowing your "downstream teams" to be repeatedly overwhelmed by last-minute urgent requests? [The Scrum Master Toolbox Podcast Recommends] 🔥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 Renee Troughton Renee is one of the most experienced Agile coaches in the Southern Hemisphere with over two decades of transformation experience across banking, insurance, pharma, and real estate. Since 2002, she's helped organizations go digital, tackle systemic issues, and deliver value faster. Passionate about cutting bureaucracy, Renee champions a return to humanity at work. Follow Renee’s work at AgileForest.com, her website as well as her work on the Agile Revolution podcast.  You can link with Renee Troughton on LinkedIn.
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  • The Hidden Cost of Constant Restructuring in Agile Organizations | Renee Troughton
    Renee Troughton: The Hidden Cost of Constant Restructuring in Agile Organizations Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "Trust and safety are the most fundamental foundations of a team to perform. And so you are just breaking the core of teams when you're doing this." Renee challenges us to look beyond team dysfunction and examine the "dirty little secrets" in organizations—leadership-driven anti-patterns that destroy team performance. She reveals a cyclical pattern of constant restructuring that occurs every six months in many organizations, driven by leaders who avoid difficult performance management conversations and instead force people through redundancy rounds. This creates a cascade of fear, panic, and victim mindset throughout the organization. Beyond restructuring, Renee identifies other destructive patterns including the C-suite shuffle (where new CEOs bring in their own teams, cascading change throughout the organization) and the insourcing/outsourcing swings that create chaos over 5-8 year cycles. These high-level decisions drain productivity for months as teams storm and reform, losing critical knowledge and breaking the trust and safety that are fundamental for high performance. Renee emphasizes that as Agile coaches and Scrum Masters, we often don't feel empowered to challenge these decisions, yet they represent the biggest drain on organizational productivity. Self-reflection Question: Have you identified the cyclical organizational anti-patterns in your workplace, and do you have the courage to raise these systemic issues with senior leadership? Featured Book of the Week: Loving What Is by Byron Katie "It teaches you around how to reframe your thoughts in the day-to-day life, to assess them in a different light than you would normally perceive them to be." Renee recommends "Loving What Is" by Byron Katie as an essential tool for Scrum Master introspection. This book teaches practical techniques for reframing thoughts and recognizing that problems we perceive "out there" are often internal framing issues. Katie's method, called "The Work," provides a worksheet-based approach to introspection that helps identify when our perceptions create unnecessary suffering. Renee also highlights Marshall Rosenberg's "Nonviolent Communication" as a companion book, which uses language to tap into underlying emotions and needs. Both books offer practical, actionable techniques for self-knowledge—a critical skill for anyone in the Scrum Master role. The journey these books provide leads to inner peace through understanding that many challenges stem from how we internally frame situations rather than external reality. We have many episodes on NVC, Nonviolent Communication, which you can dive into and learn from experienced practitioners.  [The Scrum Master Toolbox Podcast Recommends] 🔥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 Renee Troughton Renee is one of the most experienced Agile coaches in the Southern Hemisphere with over two decades of transformation experience across banking, insurance, pharma, and real estate. Since 2002, she's helped organizations go digital, tackle systemic issues, and deliver value faster. Passionate about cutting bureaucracy, Renee champions a return to humanity at work. Follow Renee’s work at AgileForest.com, her website as well as her work on the Agile Revolution podcast.  You can link with Renee Troughton on LinkedIn.
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  • When Leadership Says "Just Make It Work" in Agile | Renee Troughton
    Renee Troughton: How to Navigate Mandatory Deadlines in Scrum Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "I said to the CIO at the time, we're not going to hit this. In fact, we'll be... I can actually tell you, we're gonna be 3 weeks late... And he said: ‘Just make it work!’" Renee shares a powerful story from her work on a mandatory legislative compliance project where reality clashed with executive expectations. Working with a team new to Agile, she carefully established velocity over two sprints and projected the delivery timeline. The challenge intensified when sales continued promising bespoke features to clients while the deadline remained fixed. Despite transparently communicating the team would miss the mandatory date by three weeks, leadership demanded she "just make it work" without providing solutions. Renee found herself creating a misleading burn-up chart to satisfy executive confidence, while the organization played a dangerous game of chicken—waiting for another implementer to admit delays first. This experience taught her the critical importance of courage in conversations with leaders and the need to clearly separate business decisions from development team responsibilities. Sometimes the best we can do is provide transparency and let leaders own the consequences of their choices. In this episode, we refer to the seminal book on large projects: The Mythical Man Month, by Frederick Brooks. Self-reflection Question: When faced with unrealistic demands from leadership, do you have the courage to maintain transparency about your team's reality, even when it means refusing to create false artifacts of confidence? [The Scrum Master Toolbox Podcast Recommends] 🔥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 Renee Troughton Renee is one of the most experienced Agile coaches in the Southern Hemisphere with over two decades of transformation experience across banking, insurance, pharma, and real estate. Since 2002, she's helped organizations go digital, tackle systemic issues, and deliver value faster. Passionate about cutting bureaucracy, Renee champions a return to humanity at work. Follow Renee’s work at AgileForest.com, her website as well as her work on the Agile Revolution podcast.  You can link with Renee Troughton on LinkedIn.
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  • BONUS: Consulting is Different—How Consulting Contracts Work Against Agile Development | Jakob Wolman, Wilko Nienhaus
    BONUS: Consulting is Different—How Consulting Contracts Work Against Agile Development, With Jakob Wolman and Wilko Nienhaus  In this BONUS episode, we explore the critical differences between building software as a consultant versus inside a product company. Jakob Wolman contributed an insightful article to the Global Agile Summit book examining how third-party software development operates under entirely different constraints than in-house product development. Joined by Wilko Nienhaus, CTO of Vaimo, a consulting company in Estonia, we dive into ownership dynamics, misaligned incentives, contracting challenges, and the business pressures that shape consulting—along with practical stories from the field about what really works. The Cobbler's Shoes Problem "I come back to the office from this workshop, and suddenly, with these eyes on looking for improvements in process, I just suddenly am hit by this revelation of why things are so slow here? Why are we working so inefficiently?" Jakob describes the striking paradox many consultancies face: they excel at helping clients improve their processes while their own internal operations remain inefficient. This "shoemaker's children" phenomenon reflects a fundamental challenge in consulting—the difficulty of investing in your own improvements when all energy flows toward billable client work. Digital agencies often have outdated or poorly implemented websites despite building sophisticated solutions for others, illustrating how consultancies struggle to apply their own expertise internally. Misaligned Incentives Create Antagonistic Dynamics "It's almost as if the clients are actually paying us to be slow, because our incentive is to spend more time on achieving what the client wants, because we get paid by the hour." The incentive structures in consulting create inherent conflicts that don't exist in product companies. Consultants typically bill by the hour, creating a perverse incentive to spend more time rather than deliver efficiently. Meanwhile, clients pursue business outcomes and want results as quickly and cheaply as possible. This fundamental misalignment leads to: Clients adopting a procurement mindset, treating software development like ordering from a catalog A "wall" between stakeholders and development teams that's even stronger than in product companies Antagonistic relationships where scope changes feel like financial traps rather than necessary learning Contracting processes that reinforce waterfall thinking even when both parties claim to want agility Wilko emphasizes that contracting has a huge impact on these dynamics, and companies must deliberately change their engagement models to break free from these patterns. The Budgeting Trap and Specification Overload "Because of this budgeting process where you now need to motivate what this budget does, or you need to spend that budget, you essentially create this necessity to define everything." Consulting projects often suffer from the same problem that plagued waterfall development: annual budgeting cycles that force stakeholders to cram everything into a single specification. When there's only one chance per year to secure funding, everyone stuffs the requirements document with every conceivable feature, leading to: Massive specifications that attempt to predict all needs upfront Endless discovery meetings and documentation that add cost without improving outcomes Developers working from outdated assumptions with delayed feedback Clients who don't really know what they want but feel pressured to specify everything Jakob points out the frustration that "we've already fixed this problem" in product development through iterative approaches, yet it keeps reappearing in consulting because of the separation between entities. Ownership and Quality in Consulting Environments "Skilled engineers will be frustrated if they're not allowed to do a proper job. People that have spent a lot of time in an environment where they're never allowed to do a proper job, or maybe even punished for doing a proper job, they will have given up, and not care." The difference in ownership between product and consulting development profoundly affects how engineers think about quality, technical debt, and long-term design. In product companies, developers know they'll maintain their code, creating natural incentives for quality. In consulting, the transient nature of engagements can erode quality standards. Key challenges include: Engineers knowing they won't return to the codebase, reducing long-term thinking Clients who lack technical expertise dictating approaches they don't understand Pressure to complete fixed-scope contracts regardless of quality trade-offs The role of estimates in forcing teams to "just complete this thing" even when learning suggests changes Wilko notes that teams controlled by clients versus teams managed as stable units by the consultancy show markedly different levels of ownership and engagement. Engineers want to do great work, but without real-world feedback loops, they may either overengineer based on theoretical ideals or give up on quality entirely. Breaking the Cycle: Going Live in Two Weeks "We said to them, what if we try to actually go live in a single sprint, which in most companies is 2 weeks. And they were like, nah, we're not so sure. And we said, don't worry, you're going to get everything you want in your scope by the end. But just let's try these first 2 weeks." Wilko shares a transformative story about an e-commerce project where his team convinced a client to abandon their two-year roadmap and instead focus on going live with something—anything—in two weeks. The goal: enable one existing customer to place one order for one product they already knew. This constraint forced radical prioritization. The team didn't need images, extensive product catalogs, or elaborate descriptions. They delivered a minimal but functioning system, and the results were revelatory: The client's internal discussion shifted from "we need everything" to "what should we prioritize next?" Real customer interaction revealed unexpected problems, like internal incentive conflicts where salespeople wouldn't direct customers to the website because it threatened their commissions Senior leadership embraced the iterative approach more readily than middle management The faster feedback cycle enabled genuine agility even in a consulting context This story demonstrates that iterative approaches are more likely to lead to success in consulting, and that senior leadership is often more receptive to faster feedback cycles than people expect. The key is changing the dynamic from "deliver a complete spec" to "let's go live quickly and learn." AI as a Game-Changer for Consulting Dynamics "The groundbreaking thing that's happening right now is AI, and it really feeds into this direction. Because instead of speaking, you can actually be building, you can see things, you can do stuff that you can really test in a much more real way than you could just a few years ago." Both Jakob and Wilko see artificial intelligence as a potential solution to many consulting challenges. AI tools enable rapid prototyping and visualization, allowing teams to show rather than tell. This addresses the fundamental problem that clients don't know what they want until they see it, by dramatically reducing the cost of creating tangible demonstrations that generate meaningful feedback. If you want to know more about how AI is reshaping programming, check out our AI Assisted Coding series of episodes.  Quality and Testing Should Not Be Negotiable "I just simply think it shouldn't be a choice. We have to be very firm on this is how we work. We are the experts you are paying us." When clients ask to skip testing, reduce code reviews, or cut corners on infrastructure, Jakob argues consultancies must stand firm. Quality practices shouldn't be line items that clients can negotiate away. One consulting company that works strictly with Extreme Programming principles demonstrates this approach—they don't explain every detail to clients, but they clearly establish that "this is how we do all our projects. It's not a choice." Wilko adds that testing often saves time rather than adding cost, serving as a development tool that eliminates repetitive manual verification. The challenge comes during estimation, where padding for testing can make consultancies less competitive, creating pressure to compromise on quality. Jakob emphasizes that some responsibility lies with consultancies themselves, which sometimes over-promise and underbid to win business, then struggle to deliver quality within unrealistic constraints. This "race to the bottom" hurts the entire industry. The Path Forward: Deliberate Collaboration "It is fixable in a consultancy setting as well. I've seen it. I've been part of it. But you have to be very deliberate in your collaboration with the customer." Success in consulting requires deliberately designing the engagement model to support iterative development: Working backward from customer needs, not forward from specifications Establishing short feedback loops with both client stakeholders and end users Creating stable teams rather than assembling ad-hoc groups based on client requests Changing contracting models to align incentives (as explored in Sven Ditz's article in the Global Agile Summit book on delivering incrementally) Being firm about quality practices while remaining flexible about features Using AI and rapid prototyping to generate early, concrete feedback The consulting model doesn't have to default to waterfall, but it requires conscious effort to overcome the structural forces pushing in that direction. Recommended Reading In this episode, we refer to multiple resources for further reading. Here’s a list of those resources:  Secrets of Consulting by Gerald Weinberg The Global Agile Summit book, including articles by the speakers at the conference Real World Agility by Daniel Gullo The #NoEstimates book by Vasco Duarte Extreme Programming principles About Jakob Wolman and Wilko Nienhaus Jakob Wolman is an experienced engineering leader who knows how to build great software, and how to mess it up. He has worked in both product companies and consulting environments, giving him unique insight into the contrasts between these models. You can connect with Jakob Wolman on LinkedIn. Wilko Nienhaus is CTO of Vaimo, a consulting company in Estonia, where he focuses on the challenges of delivering software in a consulting environment. He concentrates on delivery mechanisms and technical solutions for challenging projects. You can connect with Wilko Nienhaus on LinkedIn.
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  • From Deterministic to AI-Driven—The New Paradigm of Software Development | Markus Hjort
    AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.
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Über Scrum Master Toolbox Podcast: Agile storytelling from the trenches

Every week day, Certified Scrum Master, Agile Coach and business consultant Vasco Duarte interviews Scrum Masters and Agile Coaches from all over the world to get you actionable advice, new tips and tricks, improve your craft as a Scrum Master with daily doses of inspiring conversations with Scrum Masters from the all over the world. Stay tuned for BONUS episodes when we interview Agile gurus and other thought leaders in the business space to bring you the Agile Business perspective you need to succeed as a Scrum Master. Some of the topics we discuss include: Agile Business, Agile Strategy, Retrospectives, Team motivation, Sprint Planning, Daily Scrum, Sprint Review, Backlog Refinement, Scaling Scrum, Lean Startup, Test Driven Development (TDD), Behavior Driven Development (BDD), Paper Prototyping, QA in Scrum, the role of agile managers, servant leadership, agile coaching, and more!
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