Podcasts about Scrum

Pankaj Kumar: Product Owners Who Prepare the Ground for Agile Teams The Great Product Owner: Proactive Preparation Before the Team Asks 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.   "Before the team asks, you know that this is the prerequisite for this user story." - Pankaj Kumar   Pankaj's example of a great Product Owner is someone who did the homework before meeting the team. This PO understood what the team needed to deliver, prepared the acceptance criteria, talked to UX early, and made sure design inputs were available before developers were blocked. Vasco describes this as "preparing the ground" for the team. The PO was not just pushing features into a sprint. He was listening to what the team could achieve, translating stakeholder needs into clearer work, and reducing waiting time so the team could focus on execution. For Scrum Masters, this is a useful pattern to notice: great Product Owners protect the team's flow by handling communication and dependency work early.   Self-reflection Question: What does your Product Owner prepare before the team discovers it needs help? The Bad Product Owner: Pushing Urgent Work Into an Already Full Sprint Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "The team was already having everything on the plate, and they can't take any more." - Pankaj Kumar   The anti-pattern Pankaj highlights is a Product Owner who treats urgency as permission to ignore capacity. In one sprint, a PO arrived with an important customer case and insisted that it had to enter the current sprint backlog. The team was already overloaded, but the PO was not ready to hear the tradeoff. Pankaj's advice is to slow the conversation enough to make the real decision visible. Why is this urgent? Who is the stakeholder? What is the risk? What is the impact? Can it wait until the next sprint? If it cannot wait, what will be adjusted? Agile welcomes change, but change still has a cost. A Product Owner who says yes without making the tradeoff visible risks damaging trust with the team.   In this segment, we refer to root cause analysis, capacity planning, and Product Owner anti-patterns.   Self-reflection Question: When urgent work enters the sprint, what does your team explicitly remove or renegotiate?   [The Scrum Master Toolbox Podcast Recommends]

Pankaj Kumar: The Scrum Master Success Metric of Team Independence 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 best thing to measure the success of a Scrum Master is that the team is not dependent on the Scrum Master." - Pankaj Kumar   For Pankaj, Scrum Master success has a clear test: can the team work, decide, inspect, and improve without depending on the Scrum Master for every step? He looks for self-organization, confidence in Scrum events, and a team that can continue improving without constant intervention. But he does not rely only on impressions. Pankaj uses team metrics such as velocity, backlog health, lead time, cycle time, and Cumulative Flow Diagrams when Kanban is in use. He also pays attention to team satisfaction and regular feedback. The frequency of that reflection depends on team maturity. Mature teams may need a two-week check-in rhythm, while newer teams need closer weekly attention. His maturity model is deliberately adapted team by team, because every team's product, skills, technical context, and backlog are different. The bigger point for Scrum Masters is useful: success is not being needed in every conversation. Success is seeing the team grow enough that your presence becomes lighter.   Self-reflection Question: What would your team do this week if you were not available to guide the Scrum events? Featured Retrospective Format for the Week: Anonymous Action-Tracking Spreadsheet Pankaj keeps retrospectives simple and practical. Before the retrospective, he shares a spreadsheet where team members can add what went well, what needs improvement, the action needed, who is accountable, the deadline, and the status of previous actions. He also allows anonymous input, which helps quieter team members raise points they may not want to voice live. During the meeting, the team reviews previous retrospective actions and then discusses the current sprint. Pankaj is careful about who is in the room. Sometimes supervisors are needed, but often their presence changes what people are willing to say. For him, facilitation starts with creating the right audience for the conversation.   [The Scrum Master Toolbox Podcast Recommends]

Pankaj Kumar: Using Agile Prioritization to Handle Competing 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.   "Who am I going to deliver to, and how urgent is this task for them?" - Pankaj Kumar   Pankaj's current challenge will sound familiar to many Scrum Masters and Product Owners: too many important demands, all arriving at once. He runs his consultancy, Test2Deploy, works with a startup, serves as a board member in Agile Finland, and is also building a healthcare app. The problem is not motivation. The problem is deciding what deserves attention when everything looks valuable. Pankaj uses a simple prioritization matrix built around value and importance, then adds practical filters: deadline, effort, risk, impact, stakeholder, and the stage of the work. Is it still planning? Is it in execution? Can it be delegated? Can it be removed? Vasco connects this personal challenge back to product work, because teams face the same question every sprint. Prioritization is not just a private calculation. The stakeholder matters because they understand urgency, tradeoffs, and business consequences. Pankaj's approach gives Scrum Masters a useful coaching angle: help teams make the decision criteria visible before the pressure hits.   In this episode, we refer to prioritization, stakeholder management, and Product Ownership.   Self-reflection Question: What criteria does your team use when two pieces of work both look urgent?   [The Scrum Master Toolbox Podcast Recommends]

Last week was frameworks for agility in general. This week Kate Megaw, Anu Smalley and Ryan Smith put the best known one under the microscope. They walk through where Scrum came from, why Ken Schwaber and Jeff Sutherland waited fifteen years to write it down, and what the new Simple Guide to Scrum from Bob Hartman and Tobias Mayer changes. Kate makes the case for the 2020 switch from roles to accountabilities, and it turns out the three hosts cover all three of them between them. Then the can of worms: can you implement Scrum partially? From there it is Product Goals as Scrum's answer to OKRs, why so many teams cannot write a Sprint Goal, why the Sprint itself counts as an event, and the two events teams struggle with most: the Sprint Retrospective and the Daily Scrum. This episode closes with the line of the week, borrowed from a PMI colleague. Think big, do small, iterate often.

Why are forecasts so often late, or short of what was planned? In this live Ask a Professional Scrum Trainer session, Professional Scrum Trainer Ludwig Harsch answers audience questions on estimation and planning for Scrum Teams. He draws on his training and consulting work to explain why estimation should be tested and adapted to each team's context, not treated as a universal rule.Ludwig explains how teams can move from unreliable hour estimates to relative sizing. He discusses when Planning Poker is worth the effort and when a lighter approach fits better. He also covers how to forecast when support work, context switching, and external dependencies eat into capacity. He makes the case for giving stakeholders projected dates with probabilities rather than fixed promises, and explains how Monte Carlo simulations can support that conversation.In this episode:Moving from hours to relative sizing, and what "size" should meanUsing Planning Poker and facilitation to build shared understandingKnowing when to stop estimatingUsing AI in estimation without losing team discussionChoosing a planning horizon, including for regulated productsHandling support work, dependencies, and shifting prioritiesComparing velocity, throughput, and capacity-adjusted metricsWhy Scrum Teams commit to the Sprint Goal, not a fixed number of backlog itemsAdvice for newly formed teams still collecting dataTune in for some great insights on Estimation and Planning in Scrum.

Podcast downloads alone rarely prove whether a campaign reached the right audience or delivered business value. In this episode of Marketer of the Day, entrepreneur David Ledgerwood of Listen Network Co explains how targeted podcast distribution and audience analytics can help agencies move beyond vanity metrics and demonstrate ROI. Drawing on decades of entrepreneurial experience, Ledgerwood shares how he has built and bootstrapped a portfolio of niche businesses through changing markets and economic downturns. He discusses the value of pattern recognition, patience, and knowing when to refine an idea, or move on. His practical business philosophy centers on keeping cash reserves, limiting debt, and letting complementary ventures support one another. The conversation offers useful perspectives for founders, agency leaders, and marketers seeking sustainable growth. Ledgerwood describes Listen Network's approach to making podcast advertising more measurable by connecting campaigns with human downloads from carefully defined target audiences. With demographic and professional insights such as age, household income, and job titles, agencies can better understand who engaged with a podcast campaign. That data can help teams report on performance, build client confidence, and shape editorial decisions around audience response. He also explains why podcasting's open RSS ecosystem can make attribution difficult, and why measurement tools can make the channel easier to evaluate alongside other digital marketing. Beyond podcast analytics, Ledgerwood outlines RIGGG's owned-media strategy, spanning video, podcasts, newsletters, webinars, and community building. His approach emphasizes creating content infrastructure a company controls rather than depending entirely on social platforms, paid media, or third-party PR. https://youtu.be/DKiSg8zSoQw?si=Ide4a_Yf0hOfMzSr The episode also explores how to manage several ventures without scattering time and attention. Ledgerwood says his partner group uses a shared backlog and Scrum-like prioritization, shifting focus toward the work closest to revenue while accounting for capacity and well-being. He cautions against assuming every available hour will be productive and encourages founders to plan realistically, make deliberate progress, and avoid rushing. Family is central to his perspective: as a father of five, he prioritizes parenting and recommends putting phones away and making time for meaningful conversations with children. His guiding reminder, “Slow is smooth, smooth is fast,” captures the value of preparation, focus, and doing the work carefully. For entrepreneurs interested in podcast ROI, owned media, bootstrapping, sustainable business growth, and work-life balance, this conversation offers practical ideas and hard-earned lessons. Quotes: "The most important thing isn't the money, it's your time. You can only work on one or two things at the same time, so what rises to the top really matters."   "I've always been passionate about the podcast agency space, but we've all been fighting against an open, anonymous protocol. Podcasts don't play along with traditional marketing data."  "If we can get really precise about who your podcast reaches, that becomes statistically representative of how your target audience behaves when presented with your show." Contact Details: Put Your Podcast in Front of the Right Audience: Visit Listen Network Ready to Win Bigger Deals? Build Your Enterprise-Ready Agency Today Turn Your Expertise Into Content That Compounds: Start With Riggg Discover New Ways to Grow Your Business. Connect with David Ledgerwood on LinkedIn Follow David Ledgerwood on Instagram for More Business Insights Learn, Think, Grow: Follow David Ledgerwood on X

Pankaj Kumar: The Agile Team Split Between Seniors and Juniors 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 have to focus not on individual tasks, but the team goals. Shared goals." - Pankaj Kumar   Pankaj describes a team that had all the ingredients for friction: senior people with deep experience, junior people who needed support, and a Sprint Goal that required everyone to move together. The weak signal showed up in the retrospective. The junior team members were quiet, and the seniors were implicitly treating mentoring as work that did not help them. Pankaj started with one-on-one conversations to understand what was behind the silence. Then he reframed mentoring around the team outcome. The senior people were not being asked to "lose time" helping juniors. They were being asked to build the capability the whole team needed to deliver. He also pointed out that learning flows both ways: junior team members often bring fresh technical knowledge that experienced people have not yet seen. By pairing senior and junior people on shared tasks, the team started to build trust, empathy, and confidence. The result was visible outside the team too. Stakeholders could see the difference in sprint reviews when the team showed up with more alignment.   In this segment, we talk about team dynamics, psychological safety, and mentoring.   Self-reflection Question: Where is your team still optimizing for individual tasks when the real need is a shared outcome? Featured Book of the Week: Straight from the Gut by Jack Welch Pankaj mentions several leadership books that shaped his thinking, including Start With Why by Simon Sinek, Leaders Eat Last by Simon Sinek, and Stay Hungry Stay Foolish by Rashmi Bansal. The one that stayed with him most was Straight from the Gut by Jack Welch. What connected the book to his Scrum Master work was the push against bureaucracy and the image of building a speedboat instead of a large, slow ship. For Pankaj, that linked directly to empowered teams, fast learning, and the Scrum Master responsibility to help people move from hierarchy into ownership.   [The Scrum Master Toolbox Podcast Recommends]

Pankaj Kumar: Building Agile Trust One Small Scrum Sprint at a Time Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "We are here to learn. Learning is the key." - Pankaj Kumar   When Pankaj Kumar first moved from QA lead into the Scrum Master role, the organization was also moving from waterfall into Scrum. The team had been used to long project cycles, and suddenly they were being asked to deliver working software every two weeks. The difficult part was not the process language or the events. It was the fear behind the change. Pankaj saw that the team needed trust before it could take the first real step. He started with one-on-one conversations, made the pilot explicit, and kept bringing people back to a shared outcome instead of individual tasks. The breakthrough came when the team stopped trying to prove that "Scrum works" all at once. Instead, they picked small pieces of work, delivered something tangible, and celebrated the first signs of progress. That sense of accomplishment helped the team replace fear of failure with confidence. For Pankaj, the lesson was simple: a Scrum Master helps the team stretch, but not so far that people stop feeling safe enough to try.   In this episode, we refer to psychological safety and Scrum.   Self-reflection Question: What is the smallest useful increment your team could deliver this sprint to build confidence in itself?   [The Scrum Master Toolbox Podcast Recommends]

Neste episódio, conversamos com o Luciano Oliveira e Luiz Felipe Gonçalves (Foca) para entender como a agilidade pode ir além de Scrum, cerimônias e frameworks para realmente gerar resultados para o negócio. Vamos discutir o papel do Scrum Master, os desafios de conectar times de tecnologia aos objetivos da empresa e como medir se uma transformação ágil está, de fato, trazendo valor.

BONUS: Why AI Is Agile's Best Use Case With Melissa Reeve AI is often framed as a technology rollout, but Melissa Reeve makes a different case: organizations that already know how to learn, adapt, and improve are better prepared for AI. In this BONUS episode, we connect Lean, Agile, DevOps, and AI-native work, and explore why Scrum Masters may be closer to the center of AI adoption than they think. From Toyota Production System to AI-Native Work "I didn't really have words for what would later be my career. I didn't know about systems thinking. I didn't know about this thing called Agile."   Melissa traces the through-line from studying the Toyota Production System in Tokyo, to early Agile marketing, to developing intellectual property at Scaled Agile, and finally to AI. Her point is that Lean, Agile, and AI-native work are not separate conversations. They all depend on sensing what is happening, shortening feedback loops, learning from reality, and improving the system instead of only optimizing individual tasks. The DevOps Lesson for AI Adoption "People go from doing the task to building, monitoring, and maintaining the automations that do the task."   Melissa's AI turning point came after ChatGPT arrived in November 2022. At first she was skeptical, then she started seeing end-to-end marketing workflows that could be changed with AI. That reminded her of the DevOps shift, where software teams moved away from throwing work over the wall and toward automated testing, deployment, and delivery pipelines. For Scrum Masters, the lesson is practical: AI is not only about automating Jira tasks or writing user stories faster. It changes the workflow, the roles around the workflow, and the learning loops that keep the work useful. Scrum Masters as AI Change Leaders "What are Scrum Masters really good at? They're good at helping teams adopt new ways of working."   Melissa sees a positive opening for Scrum Masters and Agile coaches. Organizations have bought AI licenses and told people to experiment, but many leaders are still unclear about how AI should change real work. Scrum Masters already work with flow, bottlenecks, experiments, psychological safety, and improvement backlogs. That gives them a useful place to start: map one or two workflows with the team, clarify decision rights, identify where AI can remove or improve steps, and surface concrete wins that others can learn from. From Linear Organizations to Hyperadaptive Work "A hyperadaptive organization compresses both of those dimensions."   In Hyperadaptive, Melissa contrasts linear organizations with hyperadaptive ones. Linear organizations move through strategy, execution, concept, and delivery with many handoffs and delays. Hyperadaptive organizations compress those delays by organizing around value, distributed decisions, and continuous learning. She points to Tomorrow.io as an example of an AI-native company that could run a much smaller marketing team because workflows were designed differently from the start. She also uses Moderna to show the other side: a large pharmaceutical company using AI to pursue a goal that would be impossible under normal industry timelines. Learning Loops, Communities of Practice, and the Retrospective Backlog "We surface our backlog of improvement items and there they sit."   For Scrum Masters, Melissa brings the conversation back to familiar territory: communities of practice, retrospectives, and improvement backlogs. Moderna's AI rollout included ways to identify power users and spread learning through a community. Scrum teams already have the bones of that system, but the weak point is often follow-through. Teams identify improvements, then lose track of them. Melissa's challenge is to use AI to manage those learning loops better: keep improvement items visible, help prioritize them, watch capacity, and make sure learning from retrospectives turns into action. The FOCUS Framework for Choosing AI Use Cases "Is it organizational? Does it fit with your organizational goals or your team goals? Or is it just a random act of AI?"   Melissa uses the FOCUS framework to help teams choose high-value AI work instead of chasing every new possibility. Fit asks whether the idea connects to team or organizational goals. Organizational pull asks whether others will use it, or whether it is a one-person tool. Capability checks whether the team can actually build it. Underlying data asks whether the data is good enough. Success metrics ask how the team will know the AI initiative made a difference. This is a natural fit for Scrum Masters because it connects AI adoption to value, capacity, and inspect-and-adapt thinking. The Five Stages of AI Adoption "AI learning is social learning, and we need to harvest the learning from each other and spread it."   Melissa outlines five stages of AI adoption. Stage 1 is foundation: named AI leads and AI councils. She warns against assuming the best power users are automatically the best AI leads, because the role needs change-agent skills. Stage 2 is AI augmentation, where teams examine workflows and build support structures such as an AI Activation Hub. Stage 3 is automating end-to-end workflows. Stage 4 is scaling those automations. Stage 5 is interconnected value streams driven by AI and AI telemetry. Stages 3 and 4 are the messy middle, because jobs shift, roles change, and organizations move from functional silos toward value-stream orientation. AI, M-Shaped Skills, and More Complete Teams "I'm hopeful that in the age of AI, with these adjacent competencies, that we can create more complete teams."   Vasco and Melissa connect AI-native work with the idea of M-shaped people: people with deep skills in some areas and useful range across others. Melissa notes that AI can unlock adjacent competencies, making it easier for teams to cover skills that used to require fractional specialists. For Scrum Masters, that means the future is less about defending a title and more about understanding durable skills, purpose, and the contribution they can make as team boundaries and role boundaries keep changing. About Melissa Reeve Melissa Reeve is the author of Hyperadaptive: Rewiring the Enterprise to Become AI-Native. She's worked with the Toyota Production System, Agile marketing, and executive leadership at Scaled Agile. She helps organizations move beyond AI pilots by building the human, learning, and operating-model capabilities needed for AI-native work at scale. LinkedIn   You can link with Melissa Reeve on LinkedIn and learn more about her work at Hyperadaptive Solutions.

The Roosters are into the Grand Final — but who will they face: the Panthers or the Knights? We break down the Roosters’ big win, look ahead to the remaining preliminary final, and discuss the latest on the futures of Latrell Mitchell and Matt Burton.Plus, all the key NRL talking points, big calls and what’s next as Grand Final week approaches. Check out Triple M NRL's Instagram, Facebook, TikTok and YouTube!See omnystudio.com/listener for privacy information.

The Roosters are into the Grand Final — but who will they face: the Panthers or the Knights? We break down the Roosters’ big win, look ahead to the remaining preliminary final, and discuss the latest on the futures of Latrell Mitchell and Matt Burton.Plus, all the key NRL talking points, big calls and what’s next as Grand Final week approaches. Check out Triple M NRL's Instagram, Facebook, TikTok and YouTube!See omnystudio.com/listener for privacy information.

Matthew Hodgson, founder of Zen X Machina, joins Dave West to unpack the Raptors project, an experiment that started by accident during digital transformation work and grew into a working model for agentic teams. Hodgson explains how he built a cross-functional AI team, complete with a Scrum Master agent named Al, and what it took to get the agents to self-organize, adapt sprint by sprint, and catch their own mistakes. The conversation digs into why explicit governance files matter more with agents than with humans, where agents still need human oversight, and why traditional governance models move too slowly for agentic AI. Hodgson also previews ideas from his book, Evolve, on adaptive governance for modern product operating models.Access the whitepapers that cover the experiment and learnings.

Mike Opelka fills in for Chris Plante For more coverage on the issues that matter to you, download the WMAL app, visit WMAL.com or tune in live on WMAL-FM 105.9 from 9:00am-12:00pm Monday-Friday  To join the conversation, check us out on Twitter @WMAL and @ChrisPlanteShow Learn more about your ad choices. Visit podcastchoices.com/adchoices

BONUS: From AI Curiosity to Practical Project Tools With William Davis AI becomes useful when it moves from generic answers into the daily work of solving real problems. In this BONUS episode, William Davis shares how he started building his own AI-assisted project management tools, what went wrong when the code grew too fast, and how Scrum Masters can use AI more carefully at individual, team, and project levels. When AI Stops Being a Curiosity "I really need to get a handle on how to productively use AI in my job."   William's shift started with a familiar problem: release plans are full of uncertainty, but stakeholders still need to understand what might happen and when. Instead of handcrafting uncertain delivery ranges in Excel, William used AI to build a desktop application that created probabilistic Gantt charts. In his work, these were not traditional command-and-control schedules. They were release plans that showed stakeholders a realistic range of possible delivery dates, making uncertainty visible instead of hiding it behind a false promise. The Euphoria and the Crash "Anybody can prompt an app into existence, but if you want an app that is actually enterprise-worthy, it does take a little bit of software engineering knowledge to know what questions to ask."   The first experience felt almost magical: ask questions, get code, assemble the pieces, and see a working application appear. But the magic faded when William kept extending the tool and the code started breaking in familiar ways. The AI forgot previous decisions, repeated mistakes, and produced a growing mass of tangled code. The lesson was direct: AI can move fast, but it still needs architecture, tests, and software engineering judgment. Without that, teams can build quickly and still end up with something hard to use, hard to maintain, and hard to trust. AI as a Partner Inside the Tool "The collaboration has a third partner, the AI."   William's work expanded from one application to several tools for forecasting, story mapping, release planning, and budgeting. The more interesting change was not only using AI to build tools, but building tools that could connect to AI while people used them. Through Model Context Protocol, William's tools can work with an LLM partner to help teams turn rough product ideas, emails, and scattered artifacts into structured story maps. The team still edits, challenges, moves, splits, and reframes the result. AI helps create a first model faster, but the team keeps responsibility for meaning and decisions. Security Starts With Where the Data Lives "Start with the easy sell: I'm building a tool, and the data that I'm creating is stored locally on your employer-managed device."   William is clear that AI adoption in organizations cannot ignore infrastructure and cybersecurity concerns. His first approval path came from designing tools that default to local storage in the browser, on an employer-owned and managed device. That made experimentation easier because sensitive project data did not need to leave the company environment. For teams using MCP or company AI platforms, the same question matters: where is the data going, who governs it, and what agreements protect it from being used for model training? Scrum Masters and software leaders need to treat security as part of the coaching conversation, not as an afterthought. Better Questions, Earlier in the Work "My goal is to solve the problems that I have at the moment that I'm having them."   For William, AI changed the work by removing delays between seeing a problem and trying a solution. A release forecast that once took 30 minutes to handcraft can now be updated in a few minutes during the team conversation. In a cloud ERP evaluation, AI allowed him to ask vendor-specific timeline questions much earlier than before. Instead of waiting deep into an RFP process to discover how different solutions would change the implementation plan, he could compare likely timelines upfront and make the trade-offs visible sooner. Go Slow to Go Fast With AI "Ask three different sessions the same question."   One of William's strongest warnings is that a single LLM answer can feel more certain than it really is. LLMs are probabilistic, and the same prompt can produce different answers across models or sessions. His workaround is to slow down the design step: ask multiple sessions or models to analyze the same problem, then use an orchestrator session to compare the answers and improve the design. For architecture questions, he may use Claude, ChatGPT, Grok, and Gemini. For smaller product improvements, he uses multiple sessions inside one LLM ecosystem. This is not a return to big upfront design. It is short-cycle research, planning, and implementation, repeated in small increments. A Practical First Step for Scrum Masters "Rather than just read about how to use AI, just start using it."   William's practical advice is to choose one real problem and ask your LLM how to approach it. If you are not familiar with MCP, start there: ask your preferred model how to connect to a tool through MCP, and experiment with a low-risk use case. William also invites listeners to try the free tools at SPERT Suite, where the default local mode keeps data on your own device. His broader point is simple: AI becomes useful when it is connected to a specific work problem, a clear feedback loop, and a human who still owns the judgment. About William Davis William Davis is a seasoned IT professional with four decades of experience as a software developer, project manager, and agile advocate. A certified Scrum expert and PMP, he promotes personal and organizational agility, delivers customized training, and mentors agile practitioners. Creator of Statistical PERT® and SPERT® Suite, William innovates with free, AI-powered project management tools for today's agile teams.   You can link with William Davis on LinkedIn and explore William's free tools at SPERT Suite.

The last three weeks were the mindset: the Agile Manifesto and its 12 principles. This week Kate Megaw, Anu Smalley and Ryan Smith move on to the frameworks that help you live it.  Anu starts with the difference between a mindset, a framework and a methodology, and a picture frame analogy that does a lot of work for the rest of the conversation: change the picture as often as you like, but saw a side off and it is no longer a frame.  From there it is how organizations choose between Scrum, Kanban and XP (Ryan's honest answer: most default to Scrum because it is the only one they know), the questions each host asks a client before recommending anything, and why Kate once ran Scrum and Kanban side by side with the same team.  Then the Business Agility Institute framework for the leaders who shut down at the word Scrum, the scaling frameworks and the ones that quietly faded.  It closes with four questions to ask before you adopt anything, starting with the one that matters most. What problem are you trying to solve?

Deborah Colombari: Product Owners Who Protect Focus and Enable Ownership In this episode, we refer to INVEST criteria and Behavior Driven Development. The Great Product Owner: Clear Outcomes, Strong Refinement, and Space for the Team 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.   "He doesn't say how. That allows the team to own the solution." - Deborah Colombari   Deborah describes a great Product Owner who came from project management, but learned to work deeply with upstream discovery and refinement. This PO uses INVEST criteria, Behavior Driven Development-style acceptance criteria, and explicit policies so that developers understand what needs to be done and why. He writes down expected outcomes at the epic and feature level, not only at the story level. Because he does not have a developer background, he depends on the tech lead, and Deborah sees that as a strength when the collaboration works. The PO brings business outcomes and clarity. The team brings technical options and owns the solution. That split creates room for trust.   Self-reflection Question: Does your Product Owner make the outcome clear while still leaving the solution to the team? The Bad Product Owner: Adding Work Without Understanding the Consequences 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.   "He was doing whatever he wanted without thinking of the consequences." - Deborah Colombari   Deborah's Product Owner anti-pattern is a cross-team PO who accepted incoming requests and simply added them to the Sprint. There was no clear requirement discussion, no Definition of Done check, no Definition of Ready conversation, and no technical refinement with someone who could expose complexity. The PO treated every request as urgent, even when it was not, and told developers to stop their current work to pick up the new item. The result was more parallel work, broken Sprint Goals, less predictability, and a destabilized team system. Deborah eventually had to step partly into the Product Owner space to limit WIP and protect delivery. The lesson is blunt: Product Owners who ignore consequences turn priority into chaos.   Self-reflection Question: What is the cost of every "small urgent request" your team accepts mid-Sprint?   [The Scrum Master Toolbox Podcast Recommends]

Deborah Colombari: Stable Agile Teams Make Delivery Predictable Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "When I have a stable team, I have reliable data." - Deborah Colombari   For Deborah, success as a Scrum Master comes down to one word: stability. A stable team communicates better, shares knowledge, avoids hero-driven delivery, and becomes predictable enough that the Scrum Master can use historical data instead of wishful thinking. Deborah connects stability with flow metrics and statistical thinking. When an expedite request appears, a stable team can look at its own history and forecast with a useful level of confidence. An unstable team, by contrast, creates silos, overloads key people, and turns every new request into a crisis. Vasco connects Deborah's answer to systems thinking and statistical process control: the team is part of a wider system, and its delivery capability reflects that system. The point is not to force the team to commit beyond what the system can support. The point is to observe the system, improve it, and use real data to forecast what is likely to happen.   Self-reflection Question: Do you know your team's delivery capability from evidence, or are you still depending on optimistic commitments? Featured Retrospective Format for the Week: The 4Ls Retrospective Deborah recommends the 4Ls retrospective: liked, learned, lacked, and longed for. She adds one practical extension: an action-items column. Deborah likes the 4Ls because the quadrants help the team see the same issue from different angles. Something the team longed for may connect to something they learned. Something they liked may expose what was previously missing. The action-items column matters because complaint is easy, but turning a complaint into a concrete experiment is harder. Deborah uses those actions to create or update team agreements, making the retrospective outcome last beyond the meeting.   [The Scrum Master Toolbox Podcast Recommends]

Deborah Colombari: Coordinating Global Agile Teams Around One MVP 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 scope is clear. How we are going to deliver it is not clear." - Deborah Colombari   Deborah brings a live challenge from a new global project. Her team carries the deadline, but three other teams must contribute, and those teams do not share the same priority or urgency. The question becomes: how do you align teams when only one of them feels the pressure? Deborah has already tried management alignment meetings, but they have not worked as well as needed. Her next experiment is a one-week workshop inspired by Lean Inception, where managers and teams can write down what is needed, when it is needed, and what each team can realistically contribute. Vasco and Deborah explore three practical moves: define the MVP as a real vertical slice, ask whether a person from each dependent team can join for a Sprint or a few days per week, and reduce dependencies by moving ownership closer to the team that holds the deadline. The coaching conversation ends with a useful image: even vertical slices contain thinner vertical slices. When the deadline is fixed, scope must become flexible.   In this episode, we refer to Lean Inception and Minimum Viable Product.   Self-reflection Question: When your team depends on others, are you managing the dependency or trying to reduce it?   [The Scrum Master Toolbox Podcast Recommends]

Deborah Colombari: The Agile Team Destroyed by a Toxic Feedback Loop 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.   "Whenever we almost started to achieve norming, we went back to storming." - Deborah Colombari   Deborah shares the story of a team of about twelve developers and QA specialists that kept losing people one by one. The early signal was not a technical problem. It was turnover. A toxic direct leader created pressure, blame, and snarky responses whenever the team tried to explain what was happening. Because that leader's own manager behaved the same way, Deborah saw a reinforced pattern rather than an isolated personality problem. The team could not stabilize. Every time it moved toward norming, someone left or someone new arrived, sending the team back into storming. Knowledge walked out the door with the people who left, delivery dates slipped, morale dropped, and a fixed-date call center project was eventually canceled. Deborah's story is a sharp systems thinking reminder for Scrum Masters: sometimes the problem is not inside the team. The team may be showing the symptoms of a system that punishes honesty, overloads people, and teaches them that leaving is safer than speaking.   In this segment, we talk about Russell Ackoff, his systems thinking interview with Haynes Media Works, and the Tuckman model.   Self-reflection Question: What turnover or morale signals are you treating as team problems when they may be system problems? Featured Book of the Week: Russell Ackoff Interview by Haynes Media Works Instead of a book, Deborah recommends an old Russell Ackoff interview from Haynes Media Works. She connects Ackoff's thinking to Donella Meadows and to the practical work of Scrum Masters. Deborah highlights how Ackoff explains that the outcome a system is designed to produce affects how the whole system behaves. Her example is health care: if the system rewards treating sickness, it becomes a disease-care system instead of a health system. For Scrum Masters, the lesson is direct. Teams are systems, companies are systems, and the incentives around them shape what they do. Deborah uses Ackoff's work to remind us to look at feedback loops before assuming people are the problem.   [The Scrum Master Toolbox Podcast Recommends]

Deborah Colombari: When Agile Principles Became a Fight With the System Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "I was trying to go against the system, but you cannot go against the system." - Deborah Colombari   Deborah Colombari's Scrum Master journey started with a sense that Agile gave her permission to work differently. After early project management work, a year in Canada exposed her to Agile, and the Scrum Master role soon "felt like a glove." But her failure story starts when a supportive leader left and a more command-driven manager arrived. Deborah pushed back hard, trying to protect the Agile practices she believed were right: dailies, burn-down and burn-up charts, transparency, and team focus. The problem was that she was fighting the manager instead of first understanding the system around him. That conflict spilled into the team and damaged morale. Looking back, Deborah says she would now sit down with the manager first, understand the goals and pressures behind the change, and look for compromise before escalating into resistance. Her key learning was pragmatic: Scrum Masters need principles, but they also need diplomacy. The work is not only helping the team inside the Agile bubble, but also translating between that bubble and the wider organization.   In this episode, we refer to ITIL, the Dunning-Kruger effect, and Thinking in Systems by Donella Meadows.   Self-reflection Question: Where are you fighting the system before you have understood the pressure it is trying to respond to?   [The Scrum Master Toolbox Podcast Recommends]

Last time it was the WHO: customers, businesspeople, face to face.  This time it is the HOW.  @Kate Megaw, @Anu Smalley and @Ryan Smith finish the Back-to-Basics run through the 12 Agile Principles with numbers 7 through 12, asking the same question of each: what wording would keep someone in legal, marketing, or finance reading?  Working software becomes delivered value in about ninety seconds, no notes.  Sustainable development turns out to be the most ignored principle of the twelve, partly because it says development and partly because people think sustainable means 40+ hours a week.  Technical excellence loses the C-suite at the word technical, and then the three hosts split on whether design has to go too.  Simplicity and the retrospective principle survive untouched, which raises the obvious question of why the retrospective is the first event teams drop. 

Send us Fan MailHow can Agile and Lean transform productivity in advanced manufacturing?In this episode of the Enterprise Excellence Podcast, Brad Jeavons speaks with Matt Oakley, Head of Operations at Ferra Group Australia, about how Ferra has combined Agile at Scale, Lean Manufacturing, Scrum, Six Sigma and continuous improvement to transform the way it operates.Over approximately four years, Matt explains that Ferra achieved around 25% average annual growth, approximately 220% EBITDA growth, doubled revenue while increasing staff by only around 30%, and roughly doubled the value generated per employee.In this episode, Brad and Matt explore:

Nathan Hindmarsh, Wade Graham, David Riccio join Tony Squires as we unpack Wayne Bennett's mega bunker blow up! We talk the Knights incredible win, speak to Justin Holbrook & discuss Brent Read's calls for Sharks relocation! Check out Triple M NRL's Instagram, Facebook, TikTok and YouTube! See omnystudio.com/listener for privacy information.

Nathan Hindmarsh, Wade Graham, David Riccio join Tony Squires as we unpack Wayne Bennett's mega bunker blow up! We talk the Knights incredible win, speak to Justin Holbrook & discuss Brent Read's calls for Sharks relocation! Check out Triple M NRL's Instagram, Facebook, TikTok and YouTube! See omnystudio.com/listener for privacy information.

Sheik Meeajaun: Product Owners Need the Justified No to Protect Customer Value In this episode, we refer to Vasco's Product Owner episodes, where Product Owners share their own lessons from the role. The Great Product Owner: Owning the Product and Practicing the Justified No 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.   "No, you cannot have this, but this is why." - Sheik Meeajaun   Sheik's model for a great Product Owner came from a mentor he worked with early in his career. That PO owned his slice of the product, delivered consistently, and taught Sheik the power of the "justified no." A strong PO does not simply reject stakeholder requests. They explain the trade-off, ask what should be removed from the sprint, and make business value visible. If a stakeholder wants urgent work, the PO can ask them to get agreement from the person whose work would be displaced. That shifts the conversation from pressure to prioritization. For Sheik, great Product Owners understand that their job is to bring value to the business and delight customers. They care deeply enough about the product to protect it from random requests, HiPPO decisions, and backlog noise. They know success is not only delivery. It is the visible appreciation that comes when people recognize a product decision created real value.   Self-reflection Question: Does your Product Owner have a practical way to say no that protects value without turning every request into conflict? The Bad Product Owner: The Executor Who Cannot Say No 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.   "A Product Owner's primary job is to bring value." - Sheik Meeajaun   The anti-pattern Sheik warns about is the Product Owner as executor. This PO does not own the product, does not know the customers deeply enough, and does not push back when leadership changes direction. They become a project manager with a backlog, accepting whatever the highest-paid person in the room asks for next. The team then loses coherence, the product loses a clear direction, and the Scrum Master is left helping the team manage the consequences of weak ownership. Sheik is careful not to blame only the individual. Many POs are placed in the role without mentoring, without a clear understanding of product ownership, and without the organizational support to say no. The result is predictable: a mountain of requests, no clear value conversation, and a team delivering work without a strong product story behind it.   Self-reflection Question: Where is your Product Owner being treated as an order taker instead of the person accountable for product value?   [The Scrum Master Toolbox Podcast Recommends]

Sheik Meeajaun: Scrum Master Success Starts With Trust and Ends With Teams Delivering 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 try to build trust before I build anything else." - Sheik Meeajaun   For Sheik, Scrum Master success is simple to describe and hard to earn: the team delivers what it committed to, demos happen, customers are impressed, and the Scrum Master has protected the team from avoidable disruption. He sees himself as a shield, pushing back when stakeholders bypass the team or when a Product Owner wants to interrupt the sprint without acknowledging the cost. But when he joins a new team, Sheik does not start with burndown charts or velocity. He starts with one-on-one conversations. He tells people his job is to make their work easier, then asks what help they need. Those conversations reveal the real blockers that charts often hide. Trust comes first because teams deliver through people, not dashboards. When people know each other, help each other, and pick up work when someone is away, they become more than a collection of roles. They become a team with a shared future.   Self-reflection Question: What do your first conversations with a new team tell people about the kind of Scrum Master you intend to be? Featured Retrospective Format for the Week: Three Words to Sum Up the Sprint Sheik starts retrospectives by asking each person for three words that sum up the sprint. The words can be simple: productive, boring, repetitive. The value comes from asking people to explain what sits behind those words. Instead of stopping at "I could not finish my story," Sheik wants the team to walk back through what happened: who was unavailable, what help was missing, where the Product Owner did not clarify, and which impediment stayed hidden too long. For him, a good retrospective creates a safe place to talk honestly about the details before the failure. The format is intentionally plain. The goal is not novelty. The goal is a conversation that finds the friction early enough for the team to do something about it.   [The Scrum Master Toolbox Podcast Recommends]

In this episode of the Facilitation Lab podcast, host Douglas Ferguson interviews Alyssa Coughlin, Director and Chief of Staff for Autodesk's Data, AI, and ML Platform organization, about what it actually takes to move a large engineering company from AI-enabled to AI-native. Coughlin describes how bottlenecks have shifted away from writing code toward code review, deployment permissions, and design decisions now that AI has made execution fast and cheap. She walks through concrete changes her org has made, including abandoning two-week Scrum sprints for Kanban flow, moving from PRDs to spec-driven development consumable by both humans and AI, and building shared "knowledge graph" brains to catch duplicated work before it ships. Throughout, she frames change management as a balance of carrot and stick, arguing that engineers aren't losing their jobs so much as shifting from author to orchestrator, and that managers themselves must stay hands-on with the tools to coach effectively. She closes by describing AI as an amplifier that exposes organizational seams rather than a fix, so the real work is continuously finding and addressing the friction it reveals.

In this episode of the Scrum.org Community Podcast, host Dave West sits down with product leadership expert and Author of Untrapping Product Teams, David Pereira, to explore how AI is transforming product delivery. David shares why the shift from estimates to investment matters more than ever, why having the capability to build something doesn't mean you should and how product managers can evolve into true context setters and strategic decision makers. The conversation covers the difference between problem space and solution space, why shaky organizational foundations doom AI initiatives the same way they doomed past Agile transformations, and why human judgment, critical thinking, and imagination remain irreplaceable in a world of increasingly capable AI tools. David also discusses his experience training teams, his book and why he believes it's time to bring back the crazy ideas that usually get left on the whiteboard.Learn more about what David has been thinking about on the Untrapping Product Teams Substack and Podcast!

Sheik Meeajaun: Scrum Masters Must Learn by Experimenting When AI Joins the Agile Team 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.   "Never be afraid to admit you don't know something." - Sheik Meeajaun   Sheik brings a current challenge that goes beyond one team: the gap between Scrum theory and real work when the context changes faster than the playbook. His example is AI. Scrum Masters are now asked to help teams where AI agents contribute to delivery, but no certification course can fully prepare us for that. Sheik's starting point is humility: say "I don't know," learn the domain, run small experiments, and reflect quickly. In one team, two human developers worked alongside several AI agents. They could not run a normal standup with Claude, so the team created a status report and reviewed it with the human team members. Sheik framed the agents as junior developers: useful, fast, and still requiring clear instructions, review, and guardrails. That framing helped experienced developers see AI collaboration as coaching and oversight, not as magic productivity. The key lesson is practical empiricism: try, inspect, adapt, and keep learning as the work changes.   In this episode, we refer to Scrumling's AI Product Owner course and the need to adapt Scrum practice to AI-enabled work.   Self-reflection Question: What new reality is your team facing where the honest Scrum Master answer should start with "I don't know yet"?   [The Scrum Master Toolbox Podcast Recommends]

Sheik Meeajaun: When Spillover Becomes Normal, Scrum Teams Stop Seeing the Cost 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.   "A good Scrum Master makes their Product Owner look like a superstar." - Sheik Meeajaun   Sheik describes a team pattern many Scrum Masters recognize: spillover had become so normal that finishing the sprint felt like a special event. Refinement was weak, stories were often written during refinement instead of before it, and Product Backlog Items were sometimes little more than one-line titles. The Product Owner was not consistently engaged, standups had become update sessions for the PO, and nobody was connecting non-delivery to business impact. Sheik brought his Product Owner background into the Scrum Master role and started asking a more pragmatic question: what is the cost per sprint when we do not deliver? By making cost of delay visible, he helped the team see that spillover was not just a process issue. It was lost value. The experiments were practical: protect focus, prepare stories before refinement, and tackle the gaps at ground level instead of pretending the organization would fix everything first.   Self-reflection Question: What does your team treat as normal today that is quietly costing the product money every sprint? Featured Book of the Week: The Scrum Guide by Ken Schwaber and Jeff Sutherland Sheik does not pretend to have a long reading list. He says experience shaped him more than any single book, because contracting exposed him to many organizations and many versions of Scrum in practice. Still, he points listeners back to The Scrum Guide as the minimum reference every Scrum Master should know. For Sheik, the guide gives the vocabulary and foundation, but experience teaches the translation work: how those ideas survive contact with real teams, weak refinement, Product Owners who are stretched thin, and organizations that say "Agile" while still behaving like escalation machines.   [The Scrum Master Toolbox Podcast Recommends]

We challenge the way workplaces use “collaboration” and argue that most of it is just independent work with a shared deadline. We map out what real collaboration looks like, why it's rare, and how to avoid meetings that waste time and strip teams of autonomy. • production issues, missing audio, and why last week only lives as shorts • a mini crusade against LinkedIn AI slop and the idea of reporting 10 posts a day • the cheese ball obsession and why it somehow becomes a lifestyle • “collaboration” versus task handoffs, plus the group project origin story • doers, detractors, and the middle, and how to assign work without getting burned • where collaboration actually happens, especially in code reviews, marketing reviews, and Scrum refinement • the sev one mega call anti pattern where one person does the work and everyone else watches • a practical filter for better sessions: right people, clear output, real decision power join our Patreon for a dollar or ten dollars a month You can also join our Discord the least you can do is share this with your friends Support the showClick/Tap HERE for everything Corporate StrategyElevator Music by Julian Avila Promoted by MrSnoozeDon't forget ⭐⭐⭐⭐⭐ it helps!      

Sheik Meeajaun: The Scrum Master Who Let Standups Stay Silent Until the Team Took 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.   "You can't fix something until it breaks." - Sheik Meeajaun   Sheik Meeajaun joins us from Bulgaria with a failure story about silence, escalation, and the uncomfortable work of helping a team own its own communication. He stepped into a hybrid team where the previous Scrum Master had led the Daily Scrum like a status meeting. When Sheik stopped driving the conversation, the team simply stopped speaking. For two weeks, the standups were painfully quiet. The Product Owner tried to take over, managers escalated complaints, and Sheik had to explain that the silence was exposing the real problem: the team had learned to wait for someone else to lead. The breakthrough came when one quiet team member finally spoke up and said what she was working on. Sheik asked her to pass the conversation to the next person, and the team slowly built the habit of talking to each other. His lesson is clear: sometimes the Scrum Master must resist rescuing the team long enough for the team to see what needs to change.   Self-reflection Question: Where are you stepping in so quickly that your team never has to build the muscle of ownership?   [The Scrum Master Toolbox Podcast Recommends]

The 12 principles behind the Agile Manifesto are the most skipped page in agile. Plenty of people can quote the four values.  Far fewer know there are 12 principles sitting underneath, and fewer still could name one. Kate Megaw, Anu Smalley and Ryan Smith continue the Back-to-Basics series by working through the first six, one at a time, asking the same question of each: what wording would make this land for someone in marketing, finance, or HR?  Software becomes value, then the three of them discuss whether value is too vague.  Business people and developers becomes stakeholders and teams, because “I am not a developer” is a very easy way to leave a conversation.  The word project shows up twice and nobody minds anymore, which is a shift from five years ago. And face to face gets a defense from Alistair Cockburn that is worth quoting the next time someone tells you a remote team cannot do it.  The point is not a new set of principles. It is that people shut down when the words do not fit their world, so hand them words that do.

BONUS: Why Software Projects Fail When Everyone Keeps Quiet Software projects rarely fail because no one noticed the problem. More often, people see the missing database, the wrong assumptions, the broken process, or the weak product ownership, but the organization has trained them to stay quiet. In this BONUS episode, Mark Stringer, author of Delivering the Impossible, helps us understand how Scrum Masters can make reality visible again. The Problem Of Intention In Software Projects "You've got here a problem of intention, and you can't fix that by coming up with new, more magical marks on the page."   Mark starts with a story from the mid-1990s, before Agile was a common word in software teams. In a software development course, he heard the familiar promise: if only requirements could be captured with the right notation, the project would go correctly. His reaction was different. Software is not only a problem of documentation or process, it is a problem of translating intent into reality. That gap between marks on a page and what people actually need is where many projects begin to drift. Point Of View Can Make Smart People Miss Reality "If we see things in the wrong way, then point of view can take 80 IQ points off us."   Mark uses Alan Kay's idea that point of view is worth 80 IQ points to explain why good people can still make poor project decisions. A methodology can help, but only if it helps the team see what is actually happening. When the model becomes more important than reality, teams start defending the plan instead of learning from the system they are trying to change. Scrum Masters can help by asking what the current point of view hides, not only what it explains. The Swamp: Why Project Complexity Is Not On The Diagram "The fastest way between two points in a real organization is not necessarily a straight line."   In one banking project, Mark found two realities that had not survived the diagrams. First, a transaction database shown on every architecture diagram did not exist. Second, after six months of requirements work and several million pounds spent, a simple show and tell revealed that the design was organized around accounts when stakeholders needed it organized around people. The point was not that the team had failed to write enough requirements. The point was that the real environment was a swamp of legacy systems, power shifts, competing groups, regulations, users, and assumptions. You only discover that swamp by starting, showing real work, and letting stakeholders react. Agreed Activity: When The Rituals Keep Going But The Project Is Already Lost "Everybody knows why the project's failing. It's not a mystery at all."   Mark calls one common failure mode "agreed activity." The team keeps attending standups, planning meetings, status reviews, and retrospectives, even when people privately know the project is not going anywhere. Often they have tried to raise the real issue before and were punished for it. After that, silence becomes rational. The organization keeps reporting activity, expenditure, and compliance with the process, while the real blockers stay untouched. For Scrum Masters, this is a warning: ceremonies are useful only when they let reality enter the conversation. Product Ownership, Bad News, And The Message Leaders Send "The message that the development team hears is: don't rock the boat, just keep taking the money."   The Product Owner role can help break agreed activity, but only if the person has enough authority to make decisions and enough proximity to the team to learn. Mark describes two common anti-patterns: appointing someone junior who can be pushed around, or appointing someone so senior they have no time for the work. Worse, when someone points out a fundamental problem and gets metaphorically shot, the team learns the real rule: stay quiet. Leaders may think they are asking for positivity or commitment, but the team hears permission to cut corners, hide bad news, and treat spending as progress. Make Scrum A Hypothesis Testing Framework Again "That kind of unexpected feedback, that's the hope. That's the machine working."   Mark's practical advice is to keep the cadence, but make the meetings real. A show and tell should expose assumptions. A retrospective should make uncomfortable feedback usable. Scrum works best when it is treated as an empirical, hypothesis-testing framework, not a list of meetings to implement. Mark also points to user research as a way to extend learning back into the environment. Teams cannot guess how users will react, which buttons they will press, what they will ignore, or what market and organizational changes are shaping the work. They have to test, learn, and adjust. About Mark Stringer Mark Stringer is the author of Delivering the Impossible, a 2026 Apress book on better ways of seeing software project management. He has spent 30 years in software delivery as a developer, application researcher, and project manager, working with IBM, Xerox, and Cambridge University.   You can link with Mark Stringer on LinkedIn and follow Mark's writing at markstringer.github.io. You can find Delivering the Impossible on Amazon and Springer.

BONUS: When the Team Becomes the Operating System for AI — Marko Taipale on the Twin Project at Solita Most teams trying to "use AI" end up with fast individuals and a slower system. Marko Taipale ran a two-year experiment at Solita that suggests the real bottleneck isn't the tool — it's the team's operating model. In this conversation, Vasco and Marko walk through the Twin Project with ISS Finland — two teams, same ERP pricing tool, one classical agile, one with generative AI in the room — and the lessons that became the CollabAI framework. The Twin Project — Two Teams, Same Product, One With AI in the Room "We had a luxury of: do whatever you want with AI, please get at least the same results, towards the same goal."   In 2024, Marko's team at Solita was set up as the counterpart to an existing Scrum team building an ERP pricing tool for ISS Finland. Same product mission, two different operating models. The first days were chaotic and exploratory — the team tried over 120 AI tools, built a custom GPT to act as a stand-in product owner, and even sent a virtual assistant to sit silently in the other team's meetings so nobody from Marko's team had to attend. The framework grew out of what kept working, not from a plan written upfront. "Fast Individuals, Slow System" — Why Buying Licenses Doesn't Fix the Bottleneck "If you don't change your structures, AI won't do anything faster. The only thing that gets faster is the queues between your decision-making gates."   The line from Marko's book lands hard once you have seen it inside a team. A Copilot license speeds up the individual — and then the individual sits and waits for the rest of the system: reviews, handoffs, refinement, stakeholder meetings. Those queues are exactly what AI accelerates, and the team feels even more frustrated than before. The real intervention is upstream, in how the team shares context and makes decisions together. Without that, AI just makes the existing inefficiency more obvious. Drifting in the Solution Space — Why Sense-Making Has to Happen Together "None of the real problems are so simple that a single person can solve them. If it's that simple, you should automate it."   The early Twin Project team kept seeing what Marko calls drifting — small interpretive mistakes at the start of a task that twisted the solution into something unrecognisable later. Each person was reading the same docs and the same proxy-PO conversations, and each was leaving with a slightly different picture. Individual interpretation was not enough. They moved from individuals to pairs, then to whole-team sense-making sessions. The shared context only became useful when the team processed it together — and that processing turned out to be where the learning compounded. Never Leave the Daily — When Mob Programming Becomes the Operating System "This is happening so fast, we shouldn't actually leave the daily."   The team started with vanilla Scrum, extended dailies, then ran multiple per day, then realised that the meeting was the work. They drifted into mob programming without naming it — a shared virtual machine where one person controlled the screen at a time, switching every few minutes. The agile labels came later, when someone read Mob Programming by Woody Zuill (see his earlier episodes on the Scrum Master Toolbox Podcast) and saw the team's own behaviour reflected back. The takeaway: when the pace of decisions exceeds the cadence of meetings, the team has to live inside the conversation, not visit it once a day. The 40-Prototypes Moment — When the Customer Joined the Mob "You waited 37 hours to get to this point where we get feedback."   This was the turning point. Marko had built 40 different prototypes of the pricing tool in one hour, then walked into a weekly review where the customer pointed out the obvious: if the prototypes took one hour to make, the team had been waiting 37 hours to get the feedback that actually mattered. From that moment the client became part of the mob. New product directions started landing every five to seven minutes. The backlog quietly disappeared — issue management stayed, but for the AI's context, not for humans. When the product owner is in the room all day, the storage-and-handover layer stops earning its keep. The Regulation Layer — Why Sustainable Pace Gets Sharper, Not Softer, With AI "AI is a machine. It won't stop. That's why we need a regulation layer — and we have to regulate together, not individually."   What broke first in the Twin Project was not the technology — it was the people. Cognitive load and the brain's hunger for clarity become the new constraint once decisions are flying every few minutes. The old Scrum idea of sustainable pace gets a second life here, but it has to be a shared pace, set by the team, not an individual one. Engagement is the early warning signal — when people start disengaging, the system is already over its capacity. For Scrum Masters and coaches, this is where the work moves: watching the team's energy curve, not just its throughput. The Agentic Horizon — From Teammates to Agents Acting on the Team's Behalf "AI is a new player in this field. The next conversation is governance — and it has to start now."   CollabAI was about humans and AI on one screen. The next move — what Marko is now building at Agion — is agents acting on the team's behalf. The governance shape is not optional, and it is the conversation Scrum Masters and coaches need to start having before agentic systems are everywhere on the team. Marko's article series on Agion (the brain fry posts) is the public record of what they are learning as they build the governance layer for autonomous agents. About Marko Taipale Marko Taipale is the author of CollabAI: AI Teamwork In Practice (foreword by Joe Justice) and currently works at Agion Inc. At Solita, he co-led the Twin Project with ISS — two teams building the same ERP pricing tool, one with classical agile, one with generative AI embedded end-to-end — and turned what they learned into a framework for teams that want AI as a synchronous teammate, not a faster individual tool. CollabAI book · Leanpub · LinkedIn   You can link with Marko Taipale on LinkedIn.

BONUS: How AI Took the Boring Out of Agile Coaching—Where Scrum Masters Should Actually Start, With Michael Dougherty Today we speak with Michael Dougherty — "Agile Mike" — about how a 30-year veteran of solution development and product leadership made AI a working part of his Agile coaching practice. Michael walks us through the journey from early ChatGPT curiosity, to documentation as the first real win, to the personal-passion project that built his comfort with the tools, and finally to where every Scrum Master should start: the retrospective. From Curiosity to Toolbox: A Slow Burn That Started With User Stories "I tried, and I thought it sucked at that. I'd rather write this by hand."   Michael's AI journey started in late 2022 with ChatGPT — like most coaches, he tried to make it write user stories and acceptance criteria. It didn't work. The output wasn't usable, and he went back to writing them by hand. What looks like a failure was actually the first lesson: not every coaching task is a good fit for AI, and the way to find out is to try. He kept experimenting in the background through 2023 and 2024 — Claude, Grok, Perplexity — while keeping personal use and business use cleanly separated. The real shift came at the Department of Homeland Security, where he sat alongside ex-Googlers, ex-OpenAI people, and an Anthropic alumnus on the team building DHS's internal chatbot. Watching what AI could do inside a heavily-protected enterprise environment changed his frame: this wasn't a productivity hack anymore, it was infrastructure. The Boring, Tedious, Now Quicker: Documentation as the First Real Win "AI has taken all those boring, tedious tasks and made them quicker, more valuable, and more fun to boot."   The first AI practice that stuck was documentation — the part of Agile coaching nobody enjoys but every client demands. Michael had spent years writing SDLC docs from blank pages, and his co-author on Shift: From Product to People used to look at empty docs and ask for help getting started. AI removed that blank-page problem. He'd give the model the team context, the client's documentation requirements, and a template — and get a draft to edit. He stayed in the loop as the human, bringing context, judgment, and final shape, but he no longer started from zero. The same shift happened with presentations: instead of fighting PowerPoint spacing, he tells the AI to drop content into a template and gets back a formatted deck. Small tasks, but multiplied across a coaching week, they bought back real time. The Personal Project Trick: Find Something You Love First "Find something you have a passion with, something you really enjoy. That made me feel comfortable with AI so I could do more."   Michael's strongest advice for coaches who feel intimidated by AI isn't to start at work — it's to build something for yourself, in a domain you care about. His own example: the Nordic Metal Tour Tracker, a personal AI agent for tracking heavy metal bands across Northern Europe (and Spain and Portugal). It plays music. It maps tours by country. It exists purely because he loves heavy metal. The trick isn't the tool — it's that working on something he actually cared about removed the fear and built the muscle memory. Once the comfort was there, transferring it to work became a small step instead of a leap. He references the rundown AI as a daily input that keeps him aware of how others — even people in their 80s — are using AI for everything from gardening to balanced school lunches. A Week With Preppy Paul: Agents, Connectors, and the End of Inbox Drudgery "Preppy Paul gives me a list of all my meetings today and the top three items I should have on each one — based on my notes, my email, my calendar."   Michael's current weekly routine looks nothing like his Agile coaching week from three years ago. He works at Zion Cloud Solutions as a Tier 1 Google AI partner, splitting time across three roles: about 20–30% traditional Agile project management (coaching a Scrum Master on a state of Illinois project), and the rest as an AI Growth Engineer and AI delivery lead on short 4–6 week projects with 3–5 person teams. The backbone is Google Gemini Enterprise — a platform that lets him run Claude, ChatGPT, or any major model behind enterprise protection (Model Armor, the SAIF framework). Inside it, connectors pull in Gmail, Outlook, Calendar, Confluence, Jira, Slack, Teams, monday.com, and thousands of other tools — each agent inherits only the permissions the user already has. A few practical patterns he runs every week:   Preppy Paul — an agent that prepares him for the day's meetings, pulling top topics per meeting from his notes, email, and calendar. Meeting-to-email — AI records and summarises every meeting, and he asks the agent to draft updates to specific team members directly from the summary. LinkedIn drafts in his voice — hashtags, formatting, and tone all match his style; he edits lightly and posts.   The pattern across all of these: the agent isn't replacing the work. It's removing the friction between the meeting and the next conversation. The Retrospective: The Best Place for Every Scrum Master to Start "Don't have it be the same darn Jira spreadsheet of the same darn three questions every time. Go to AI and eat your heart out with it."   When pushed for one thing a Scrum Master could try tomorrow morning, Michael was clear: the retrospective. It's the one Scrum event where creativity is usually welcome, where format experimentation has a low cost, and where teams are already expecting something new. Ask AI for retrospective formats that fit the team's current situation — review five or ten options, pick one, run it. The signal you watch for within a week is double: how many improvements the team generated, and how many of them actually got done. The simpler signal is the team's reaction. If at the end someone says "that was fun" — and then you tell them you used AI to design the format — you've shown the team what AI is good for without a single slide or framework. It's the smallest possible experiment with the largest possible upside. Experiment Like a Scientist, Not a Spectator "Don't be afraid of it. Try whatever you can with it. Have the viewpoint of a scientist."   The trap Michael sees most coaches falling into is curiosity without commitment — reading about AI, watching demos, talking about it, but never building anything. His framing is the opposite: be a scientist. Run experiments. Some will fail (his user-story attempt did). Some will quietly become essential (documentation did). The way to find out which is which is to keep trying, in low-stakes contexts, with both personal projects and small work experiments. The coaches who'll be useful to their teams in 18 months aren't the ones who can describe AI accurately — they're the ones who've built enough small things to know what AI is bad at, what it's surprisingly good at, and where the human in the loop has to stay.   About Michael Dougherty   "Agile Mike" has over 30 years of experience with solution development and product leadership, working in nearly every IT role that exists and literally hundreds of companies during his career. Michael has taught multiple Agile courses to over 1000 people, spoken at multiple events and podcasts, written dozens of blogs, and has been recently serving the US Government. He is the other co-author of Shift: From Product to People.   You can link with Michael Dougherty on LinkedIn and find more about his work at shiftingpeople.com and AP8XGlobal.com.

Arun Parameswaran: Product Owners Who Create Better Product Conversations in Scrum In this episode, we refer to Arun's AI prompt library for Scrum Masters and project managers. The Great Product Owner: Curiosity, Clear Direction, and Outcome Focus 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.   "A great PO doesn't only ask, did we deliver? They ask, do people communicate openly?" - Arun Parameswaran   Arun describes great Product Owners as collaborative, curious, and close enough to the team to understand how delivery really works. The best POs he worked with did more than check whether items were delivered. They asked whether knowledge was distributed, whether people communicated openly, and whether everyone had a chance to contribute. They gave the team clear product direction, supported prioritization, managed stakeholders, and stayed available when the team needed context. Arun emphasizes outcome focus: value for the customer expressed in a way the team can understand. A strong PO becomes the bridge in both directions, helping stakeholders understand the team and helping the team understand the customer.   Self-reflection Question: Does your Product Owner help the team understand customer value, or only the next ticket? The Bad Product Owner: Turning the Team Into a Ticket Factory 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 Scrum Master shouldn't just help the PO write better tickets. We should help create better product conversations." - Arun Parameswaran   The anti-pattern Arun warns about is the Product Owner as ticket distributor. Stakeholders ask for something, the PO turns it into a ticket, and the team delivers without understanding the problem, the outcome, or why the work matters. Over time, the team becomes a delivery factory, and Scrum starts to look like waterfall with smaller batches. Arun's coaching move is to shift the conversation away from "better tickets" and toward better product thinking. What problem are we solving for customers? What outcome do we expect? What should we prioritize? What can we say no to? For Scrum Masters, this means coaching the PO and the team to bring customer context, stakeholder feedback, and prioritization into the same conversation.   Self-reflection Question: What product conversation is your team avoiding by hiding behind ticket writing?   [The Scrum Master Toolbox Podcast Recommends]

Arun Parameswaran: Success for Scrum Masters Means Teams Ask Better Questions Without You 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 goal isn't to become indispensable. My goal is to create a team that doesn't depend on me." - Arun Parameswaran   For Arun, Scrum Master success is not measured by how many meetings he runs or how often the team asks him for help. It is measured by the team's ability to solve problems without depending on him. If he has to remind everyone to update Jira, facilitate every difficult conversation, or resolve every obstacle, he is creating dependency. A healthier signal is when team members talk directly to each other: "This is blocked. Who can help me?" or "Let's finish this before starting something else." Arun compares the Scrum Master to a football coach watching the match from the side. The team needs space to play, make decisions, and learn. The Scrum Master still observes and coaches, but the goal is to intervene less often and more intentionally. As Vasco summarizes, this requires learning to wait before stepping in.   Self-reflection Question: What would your team do differently if you waited one more minute before intervening? Featured Retrospective Format for the Week: What? So What? Now What? Arun's favorite retrospective format is "What? So What? Now What?" because it moves the team from facts to meaning to action. "What happened?" helps the team describe reality. "So what?" asks why it matters. "Now what?" turns the discussion into a small experiment for the next sprint. Arun also avoids using the same format every time. He often shares the board two or three days before the retrospective so people can reflect before the meeting, add observations, and appreciate teammates. That preparation saves time in the session and makes space for a short fun activity before the team works through the real topics. His goal is simple: every retrospective should produce learning and at least one concrete experiment.   [The Scrum Master Toolbox Podcast Recommends]

Arun Parameswaran: Using Scrumban and WIP Limits to Help Agile Teams Find Focus 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 WIP limit helped the developers not context switch." - Arun Parameswaran   Arun brought a practical challenge to the Wednesday coaching conversation: a team doing both operations and development work needed more visibility and focus than their Scrum board was giving them. The trigger was context switching. Work stayed "in progress" even when blocked, people picked up new topics before finishing old ones, and stakeholders kept asking what was actually happening. Arun helped the team experiment with Scrumban, keeping useful Scrum events while adding a Kanban-style board and explicit WIP limits. The breakthrough was not just visualizing the work. It was helping the team own the limits. They created an "operator of the week," rotating the responsibility for watching WIP and calling out when the team was taking on too much. That small practice made focus a team responsibility instead of a Scrum Master lecture.   Self-reflection Question: Who owns your team's WIP limits in practice, not just on the board?   [The Scrum Master Toolbox Podcast Recommends]

Arun Parameswaran: How Powerful Questions Help Scrum Teams Handle Stakeholder Conflict 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.   "Sometimes the best thing a Scrum Master can give the team isn't the answer. It's a question." - Arun Parameswaran   Arun describes a team pattern many Scrum Masters recognize: stakeholders bypassing the Product Owner and going straight to developers with new requests after the sprint had already started. The developers wanted to help, so they accepted the interruptions. The result was context switching, broken priorities, and a quiet loss of focus. Arun worked with the customer team, Product Owner, and developers to create a simple agreement: new work had to come through the PO, be clarified, and be prioritized before it reached the team. That agreement gave developers permission to protect the sprint without turning every conversation into a personal conflict. Arun also shares how he handled the classic misunderstanding that "being Agile" means accepting every change immediately. For him, adaptability still needs timing, clarity, and shared agreements.   In this segment, we talk about the coaching stance and how Scrum Masters can use questions to help teams think together.   Self-reflection Question: What agreement would help your team protect focus without shutting stakeholders out? Featured Book of the Week: Coaching Agile Teams by Lyssa Adkins Arun recommends Coaching Agile Teams by Lyssa Adkins because it helped him move beyond ceremony facilitation. The book gave him a clearer picture of the Scrum Master as a coach for individuals, the team, and the wider organization. One question stayed with him: am I solving the problem for the team, or helping the team learn to solve it themselves? That shift changed how Arun worked. Instead of telling teams what to do, he began asking questions such as "What do you think is causing this?", "What options do we have?", and "What are we not seeing?" For Arun, the book is a practical reminder that coaching is not about leading people to your answer. It is about helping people think.   [The Scrum Master Toolbox Podcast Recommends]

With all the ritual components in place, Scrum and Orlok try to end this once and for all. Little did they know, a thunder God has been watching them the entire time.Knowing they can't bring Buttons down by themselves, the group prays to their Dark Lords and hope for a response, if not some help.Will the Dark Lords answer the call or push it to VM, Will the Hypnotoad lick someone's special area, will the cavalry show up in time to help the bad guys win? Find out NOW, on Botched PodcastWe now have a PO Box! Wanna send us something? PO BOX 3178 Gettysburg, PA 17325A special shout out and thank you to all of our supporters over on Patreon. You help us continue to churn out “quality” episodes. With your continued support we can take our show on the road! Check out our store over at ⁠⁠⁠⁠⁠⁠⁠⁠Botched Podcast⁠⁠⁠⁠⁠⁠⁠⁠ where you can find tshirts, stickers, pint glasses and more!Give us a 5 star review on Itunes. Doing so will help the show grow, but we will also read out whatever you write at the end of one of our episodes!Feel free to email us any questions, comments or suggestions at ⁠BotchedPodcast@gmail.com⁠Follow us on ⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠, subscribe on ⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠, like us on ⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠.You can watch the show live on ⁠⁠⁠⁠⁠⁠⁠⁠Twitch⁠⁠⁠⁠⁠⁠⁠⁠!Check out each of the hosts' Twitch streams! ⁠⁠⁠⁠⁠⁠⁠⁠Dennis⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠Phil⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠Tristan⁠⁠⁠⁠⁠⁠⁠⁠Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠Dennis⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠Phil⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠Tristan⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠Steve⁠⁠⁠⁠⁠⁠⁠⁠Editor: Philip D Keating And Dennis RobinsonProducer: Philip and DennisExecutive Producers: ⁠⁠⁠⁠James Thatcher⁠⁠⁠⁠, Disgruntled Furniture, Chris Wisdom, ShinigamiSPQR,  Jayson Haiss, and Scabby GoosePublisher: Phil and DennisArt by ⁠⁠⁠⁠⁠⁠⁠⁠⁠Emily Swan⁠⁠⁠⁠⁠⁠⁠⁠⁠Music by ⁠⁠⁠⁠⁠⁠⁠⁠⁠Gozer⁠