Product managers and product owners are drowning in documentation, vision statements, roadmaps, and backlogs. But what if AI could handle the heavy lifting, freeing you up to actually talk to customers?

In this episode, Dave and Peter explore how large language models are changing product management. They go beyond the obvious use cases (like generating user stories) to discuss upstream opportunities: building product strategy, validating market positioning, and testing ideas against competitors.

You'll learn:

• Why documenting your product strategy matters (and why most PMs skip it)
• How to prompt AI to be critical, not just complimentary
• The danger of accepting AI outputs without evaluation
• Temperature settings, context windows, and other practical techniques
• What to do with the time you get back (hint: talk to real customers)

Dave and Peter also share a key practice: write down what you expect before you prompt. This simple step helps you critically evaluate AI responses instead of accepting them at face value.

If you're a product manager, product owner, or anyone building digital products, this conversation will help you use AI as a tool for better thinking, not just faster output.

In this episode, Peter Maddison and Dave Sharrock welcome Justin Trombold, President and Founder of Antison Advisors, to discuss the parallels between agile transformation and generative AI adoption in organizations.

Justin shares insights from his work helping companies navigate generative AI readiness, revealing that the biggest challenges aren't technical; they're organizational. From end-user proficiency to cross-functional collaboration, the conversation explores why companies struggle to move beyond "toy apps" to create real business value with AI.

Key topics covered:
• Why organizations need an AI strategy before investing in tools
• The critical importance of end-user proficiency with LLMs
• How cross-functional collaboration enables AI success
• Why annual planning cycles may be holding your AI initiatives back
• The parallels between agile adoption and AI transformation
• Moving from efficiency gains to true value creation

Whether you're leading AI initiatives, managing agile transformations, or wondering why your organization's AI investments aren't paying off, this conversation offers practical frameworks for thinking about organizational readiness in the age of generative AI.

THREE KEY TAKEAWAYS:

1. End-user proficiency is everything. 
2. Define the sandbox before choosing the toys.
3. Innovation in planning matters as much as innovation in products. 

Contact us: feedback@definitelymaybeagile.com

#GenerativeAI #AgileTransformation #OrganizationalChange #AIReadiness #DigitalTransformation #LLM #CrossFunctionalTeams #Innovation

In this episode, Peter Maddison and Dave Sharrock welcome Rick Delisi, Lead Research Analyst at Glia and co-author of "The Effortless Experience" and "Digital Customer Service," to discuss how AI is transforming customer service in banking and credit unions.

Rick reveals why the future of contact centers isn't about eliminating human interaction; it's about automating the routine so humans can focus on building real relationships. Learn how banks are breaking the age-old trade-off between efficiency and customer experience, and why starting with internal-facing AI tools is the safest path to transformation.

Discover the surprising truth about which customer satisfaction metric actually predicts loyalty (hint: it's not what most companies are measuring), and why customer expectations for AI are shaped more by bad experiences with other companies than by anything your organization does.


THREE KEY TAKEAWAYS:

1. AI for Everyone, Not Just Customers: AI can transform your entire organization, from helping frontline agents with real-time guidance, to giving managers instant analysis capabilities, to enabling executives to make data-driven strategic decisions. The most successful implementations use AI across all levels: customers, agents, managers, and executives.

2. Start Internal, Then Scale Outward: Begin with internal tools that help agents, managers, and executives first. This builds confidence, allows teams to experience the technology firsthand, and creates incremental improvements that build organizational trust. By the time you roll out customer-facing AI, your entire team understands and trusts the system.

3. The best predictor of customer loyalty isn't satisfaction scores or Net Promoter Score, it's the Customer Effort Score. Ask customers, "How much effort was required for you to get what you needed?" after each interaction. Low-effort experiences drive loyalty, and this metric gives you actionable insights into where to improve your service processes.

CONTACT US:
Email: feedback@definitelymaybeagile.com

Definitely Maybe Agile explores the complexities of adopting new ways of working at scale, covering digital transformation, agile practices, and DevOps in enterprise environments.

#AI #CustomerService #Banking #DigitalTransformation #ContactCenter #CreditUnions #CustomerExperience #Glia #FinancialServices #AgileTransformation

Welcome to Definitely Maybe Agile! In this episode, Peter Maddison and Dave Sharrock sit down with Barbara Whittmann, founder of the Digital Wisdom Collective, to explore how real organizational change happens from the middle out.

Barbara shares her 25 years of experience fixing broken digital transformation projects and reveals why the "juicy middle" of organizations holds the key to sustainable change. We dive deep into mindset training, building internal ecosystems, and why most organizations have forgotten the purpose of half their tools and processes.

From navigating the "permafrost layer" of middle management to understanding why AI initiatives often miss the mark, this conversation offers practical insights for anyone working to transform how organizations operate.

Three Key Takeaways:

1. Meet Organizations Where They Are - Don't force rigid methodologies or terminology. Use the organization's own language and focus on solving their actual problems rather than trying to "fix" them with prescribed frameworks.
2. The Power of Cohorts - Change isn't an individual effort. Building a cohort of four people creates redundancy, moral support, and a self-reinforcing dynamic that can create ripples throughout the organization.
3. Communication is Critical - We don't invest enough in helping leaders develop communication skills. Leaders need ongoing support, coaching, and safe spaces to develop their ability to listen, speak up, and collaborate effectively.

Featured Guest: Barbara Whittmann - Founder, Digital Wisdom Collective

Contact: feedback@definitelymaybeagile.com

When Hanna Bauer's publishing business faced a perfect storm of budget cuts, industry disruption, and the ebook revolution, she learned that Six Sigma processes weren't enough. The real transformation required leading with heart.

In this raw conversation, Hanna shares the wake-up call that changed everything: a top employee resigning to take a pay cut elsewhere. This crisis revealed the truth about organizational change; you can have all the right processes, but without genuine human connection and psychological safety, your best people will walk.

Whether you're leading digital transformation or navigating organizational change, this episode delivers practical wisdom on building growth-oriented cultures where people actually want to stay.

This week´s Takeaways:

1. Hope Drives Change People with high hope find a way where there is no way. Leaders must tap into this to navigate uncertainty; it's not just positive thinking, it's the catalyst for transformation.

2. Psychological Safety Starts at the Top Growth-oriented cultures need leaders brave enough to say "maybe it's my team" instead of pointing fingers. Cross-functional honesty beats departmental defensiveness every time.

3. Influence > Position Leadership is influence, nothing more, nothing less. You don't need a title to create change; just the will to advocate for your team and drive positive impact.

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💬 What's your biggest leadership challenge? Tag us with #DefiniteMaybeAgile

Hussein Hallak, serial entrepreneur and author of The Dark Art of Life Mastery, joins Peter Maddison and Dave Sharrock to talk about what really keeps entrepreneurs in the game. It's not resilience or grit, it's clarity about why you're doing this in the first place.

The conversation covers the shift from pre-COVID to post-COVID startup communities, why watching customers do their work beats asking them what they want, and the critical difference between handing off your product and handing off your purpose. Hussein also challenges the wall-poster approach to company values and explains why living your principles matters more than declaring them.

Three Key Takeaways:

• Strategy is becoming - Choose who you want to become as a founder and company, then let your thoughts, words, and actions flow from there. It's about the experience you want to have, not just the exit you want to achieve.
• Hand off the product, never the why - Founders can delegate product development once the team understands the purpose behind it. But stay close to customers. That connection informs everything and keeps you from drifting.
• Live your values, don't announce them - Stop putting principles on posters. Instead, have honest conversations with your team about what matters to them, what's missing, and how you'll work together. Build culture through behavior, not declarations.

Topics Covered:

• Why entrepreneurship is really about your relationship with uncertainty
• The founder's role: stay with the customer, hand off the product
• How 80% of features go unused (and what to do about it)
• Why watching customers work reveals more than asking questions
• Building culture through honest conversations, not corporate values posters

💬 Got feedback? Email us at feedback@definitelymaybeagile.com🌐 Visit definitelymaybeagile.com

🚨 Struggling to implement Agile because you can't get dedicated cross-functional teams? You're not alone.

In this episode, Dave Sharrock and Peter Maddison tackle one of the BIGGEST challenges facing late-adopter organizations: how to increase productivity and deliver value when dedicated teams just aren't in the cards.

In this episode, we explore:

• Why the "dedicated team first" approach often crashes in traditional organizations
• The hidden dysfunctions and perverse incentives that keep teams fragmented (spoiler: it's about promotions and funding)
• The famous "Sock Factory Parable" explains cross-functional alignment perfectly
• How context switching kills productivity with scarce specialists like DBAs
• Three essential steps to make real progress WITHOUT restructuring your entire organization

The Three Critical Steps:

1. Understand WHY dedicated teams work before forcing the structure
2. Get leadership aligned on real prioritization and trade-offs (not everything can be Priority 1)
3. Create genuine work transparency without status report theater

Whether you're an Agile Coach, Scrum Master, Product Manager, or Engineering Leader dealing with organizational resistance, this episode gives you practical strategies to move forward when structural change isn't an option.

Resources Mentioned:

• Peter's LinkedIn Learning Course on Value Stream Management

About Definitely Maybe Agile: Join Peter Maddison (XodiacInc) and Dave Sharrock (IncrementOne) as they discuss the complexities of adopting new ways of working at scale. Real conversations about digital transformation, agile, and DevOps challenges, no sugar-coating, just practical insights.

🎧 Subscribe for weekly episodes on making agile work in the real world

Got a question or topic you'd like us to cover? Reach out to us!

In this episode, hosts Peter Maddison and Dave Sharrock sit down with Nick Cawthon to explore how generative AI is revolutionizing the relationship between UX, design, and agile development.

Key Topics:

• Embedding UX research into agile sprints, balancing short-term feedback loops with long-term strategic insights
• The "electric bicycle" analogy: How AI gives teams superpowers but can also accelerate you in the wrong direction
• Why Nick believes he'll never use Figma again, shifting from design tools to code-native prototyping
• Building functional prototypes using company design systems and generative AI tools
• The evolution of team size: From 6-8 person cross-functional teams to powerful 2-3 person teams leveraging AI
• The architect's mindset: Understanding the technical foundation before designing the interface

Three Key Takeaways:

1. What an incredible opportunity we have; it feels like the year 2000 again, with the excitement and disruption ahead
2. Small teams (2-3 people) with diverse perspectives can now move incredibly fast using modern tools
3.  Speed is powerful, but you still need feedback loops to ensure you're building the right thing and not racing in the wrong direction

Connect with us: Website: https://definitelymaybeagile.com/ LinkedIn: https://www.linkedin.com/company/definitely-maybe-agile-podcast Email: feedback@definitelymaybeagile.com

Customer journey maps have been the standard for years. But what if they're built for a world that no longer exists?

Dave and Peter challenge the linear, step-by-step approach to understanding customer experience. From showers on Emirates flights to adaptive payment systems, they explore why our traditional mapping tools might be keeping us from seeing breakthrough opportunities.

What We Cover:

• Why traditional journey maps focus on the "critical path" and miss everything else
• The shift from cohorts and personas to individualized experiences
• The privacy paradox of hyper-personalization
• How decreasing costs make adaptive systems possible

Key Takeaways: 

✅ Traditional customer journey mapping optimizes a narrow, linear experience when customers want many different paths 

✅ Privacy and ethics matter more as experiences become hyper-personalized 

✅ What was too costly before is now feasible, changing the game for customer experience

Perfect for product managers, CX professionals, and digital transformation leaders.

Connect: definitelymaybeagile.com | feedback@definitelymaybeagile.com

Can AI really shrink your development teams from two pizzas to one? Peter and Dave explore the promise and reality of smaller teams in the age of AI agents. While AI can handle documentation, test automation, and other "hygiene" tasks teams often skip, the real question isn't whether you can reduce team size, it's whether you should. They dig into when one-person teams make sense (startups and greenfield projects), when they don't (complex legacy systems), and why the biggest gains might come from augmenting existing teams rather than downsizing them. Plus: why most AI initiatives fail and how to find the real business problems worth solving.

This week´s Takeaways

1. AI as Capacity Booster, Not Team Replacer: AI agents excel at handling the "hygiene" work that teams often skip: documentation, test automation, release notes. Rather than shrinking teams, this gives existing teams ephemeral capacity to tackle work that improves long-term system quality and maintainability.
2. Context Determines Team Size: One-person teams work brilliantly for startups and greenfield projects where you can build from scratch. But complex legacy systems in large organizations still need the diverse knowledge and experience that comes with larger teams to navigate technical debt and organizational complexity.
3. Solve Real Business Problems First: The biggest AI failures happen when teams focus on cool technology instead of actual business needs. Before experimenting with smaller teams or AI agents, identify genuine business problems that need solving; that's where you'll see real returns and organizational support.

In this episode, Dave and Peter sit down with Radhika Dutt, author of "Radical Product Thinking: The New Mindset for Innovating Smarter," to explore why iteration-obsessed product development is failing organizations.

Radhika shares hard-learned lessons from her 25-year career across diverse industries and five acquisitions, introducing the concept of "product diseases" like hero syndrome, pivotitis, and obsessive sales disorder that plague modern product teams. She challenges conventional wisdom around OKRs and goal-setting, explaining why they often create an illusion of performance while masking real problems.

The conversation explores why goals, targets, and OKRs backfire and what actually works instead. Radhika introduces her tried-and-tested alternative: a framework for puzzle-setting and puzzle-solving called OHLs (Objectives, Hypotheses, and Learnings). This approach helps companies develop a mindset that equips teams to experiment, learn, and adapt in a disciplined way, ultimately delivering far better results than traditional goal-setting methods.

The discussion dives deep into crafting detailed, hypothesis-driven vision statements that actually help teams make decisions, rather than fluffy corporate speak that sounds inspiring but provides no guidance. Radhika explains how to balance vision debt against short-term survival needs using her three-question puzzle-solving framework.

Key Takeaways:

• The importance of writing good hypotheses and understanding customer pain points deeply before defining experiments and measurements
• Organizations need to get much closer to their target customers to truly understand their behaviors and pain points, enabling better vision statements and hypotheses that resonate
• Effective vision statements must enable decision-making; if you can't make yes/no decisions based on your vision, and understand the trade-offs between short-term survival and long-term vision, it's not valuable enough

Free Resource: Download the OHLs template and toolkit: https://www.radicalproduct.com/toolkit/#OHLToolkit

When should you let AI agents loose on your processes, and when should you keep them on a tight leash? Peter and Dave explore the messy reality of using agentic AI for process improvement.

They dig into why the processes you can easily map might not be the ones where AI agents add the most value. From recruitment pipelines that need human intuition to DevOps workflows that demand zero variation, not every process is created equal when it comes to AI intervention.

This week's takeaways:

• Categorize your processes first. Look at your processes and start sorting them. Some need to eliminate variation (like DevOps deployment pipelines), while others benefit from exploring the edges and finding creative solutions.
• Not all processes are equal when it comes to AI. There are many ways AI can help improve processes, but you need to think about whether you want to reduce variability or increase intelligent flexibility in each specific case.
• Train AI to know when to hand off. What you want AI to do is recognize when it can't handle something and pass it to the right system - whether that's a math library for calculations or a human for complex decisions.
• Understand the difference between consistency and exploration. DevOps spent years eliminating variation to create stable, repeatable deployments. Other processes might actually want that variation because it gives you something unusual and valuable.

If you're wrestling with where to apply AI in your organization without breaking what already works, this episode offers a practical framework for thinking through the trade-offs.

Resource:

• Ethan Mollick's "The Bitter Lesson versus The Garbage Can": https://substack.com/home/post/p-169199293

Questions or thoughts? Reach us at feedback@definitelymaybeagile.com

What happens when you look beyond survey data to understand what's really driving your organizational culture? James Warren, founder of Share More Stories, reveals how analyzing employee and customer stories at scale uncovers the hidden "how" and "why" that traditional data misses.

His most surprising discovery? Trust has become the single most predictive emotion across all industries. Companies with high trust create lasting loyalty, while low-trust organizations remain vulnerable no matter how well they're currently performing.

Warren shares a compelling healthcare case where well-intentioned technology actually destroyed employee experience by preventing human connections, plus insights on why leadership becomes more critical during agile transformations.

Key Takeaways:

• Trust beats everything: Trust is now the most predictive emotion across industries. High-trust cultures create sustainable advantage while low-trust organizations stay vulnerable to competitors
• Leaders must change too: In agile transformations, leadership becomes more important, not less. Leaders need to model vulnerability and change alongside their teams
• Stories reveal hidden patterns: Traditional data tells you "what" happened but stories tell you "why" it happened, uncovering emotional drivers surveys completely miss

Is the Lean Startup methodology dead? Peter and Dave tackle the growing criticism around MVP approaches and explore why this foundational model still has its place in modern product development.

Drawing from George Box's famous insight that "all models are wrong, but some are useful," they discuss how tools evolve but don't necessarily become obsolete. With AI making prototyping faster and cheaper than ever, the conversation explores what's changed about experimentation and what hasn't.

The hosts dig into common misapplications of Lean Startup principles, from "MVPs" that take months to build to organizations that skip the crucial feedback loops. They also explore when incremental learning isn't enough and you need those bigger strategic pivots.

Plus, they make the case for Wardley mapping as an underutilized tool for spotting step-change opportunities that incremental approaches might miss.

Key Takeaways:

• Lean thinking remains relevant: Lean Startup is still a valuable operational tool for continuous learning and incremental improvement, but it works best when properly implemented with complete feedback loops
• You need multiple models: Organizations need both incremental change capabilities (like Lean Startup) and strategic step-change tools (like Wardley mapping) to navigate complexity effectively
• AI commoditizes development, not strategy: While AI tools make prototyping easier and faster, they don't replace the need for good product thinking, user experience design, or asking the right strategic questions

Whether you're questioning your current approach to product development or looking for ways to balance tactical execution with strategic vision, this episode offers a pragmatic perspective on using the right tools for the right challenges.

Can agile teams really move fast without breaking stuff? In this episode, Dave and Peter dig into one of the biggest tensions in modern software delivery: the push for speed versus the need to manage risk.

They unpack the idea that when agile is done right, it actually helps reduce risk, not amplify it. You’ll hear stories and analogies (yep, including a messy kitchen and airplane cockpits) that bring this idea to life. Along the way, they highlight why teams that obsess over "faster delivery" often end up with systems that are, well, kind of fragile.

Whether you're navigating compliance hurdles, trying to foster psychological safety, or just figuring out how to move fast without chaos, this conversation brings a grounded, practical take on how agile and risk can work together, not against each other.

This week’s takeaways:

• Learning continuously is more powerful than just moving quickly
• Teams should feel safe to say “something doesn’t feel right”
• Focus on what’s working, not just what’s broken

Former HSBC Canada CISO Peter Buckley shares practical cybersecurity advice for small and medium enterprises. Despite having fewer resources, SMEs face the same cyber threats as large corporations, ransomware and data breaches.

Peter breaks down how organizations can manage 80% of their cyber risk through smart planning and leveraging existing tools, without requiring massive budgets or dedicated security teams. We explore how cybersecurity extends beyond technology into HR practices, organizational culture, and the power of community collaboration.

Three Key Takeaways:

1. Have a Plan: Create and regularly test an incident response plan that outlines what to do when things go wrong, who to call, and how to communicate with stakeholders.
2. Make It Collaborative: Use tabletop exercises and casual team conversations about "what if" scenarios to build risk awareness while fostering team building.
3. Build Community: Connect with industry peers to create a network of contacts you can call during a crisis and share resources with non-competing organizations.

In this episode, Dave and Peter explore why "safe bets" in business can be the riskiest moves today. They unpack the shift from long-term plans to fast, testable experiments, and why companies must embrace uncertainty to stay competitive. Topics include digital transformation pitfalls, cultural resistance to change, and the importance of alignment over tech.

Key takeaways:

• Shorter cycles are essential
• There are no safe bets anymore
• Alignment matters more than technology

For more insights, visit definitelymaybeagile.com, subscribe, and follow us on social media. Questions or feedback? Reach out at feedback@definitelymaybeagile.com.

In this episode of Definitely Maybe Agile, Peter Maddison and David Sharrock are joined by Derek Crager, a seasoned engineer turned AI entrepreneur who shares his journey from blue-collar work to building AI-powered knowledge management solutions. Derek discusses how AI is transforming workplace onboarding, knowledge transfer, and personal productivity, drawing parallels between today's AI revolution and the early days of the internet.

Derek brings a practical perspective on implementing AI in enterprise environments, focusing on his company's voice-powered AI assistant "Pocket Mentor" that helps organizations capture tribal knowledge and streamline employee onboarding. The conversation explores the challenges of extracting expertise from subject matter experts, the importance of having clear business outcomes when adopting AI, and advice for students navigating career choices in an AI-driven world.

Key Takeaways:

• Focus on Business Outcomes Over Buzzwords - Don't implement AI just to check a box or follow trends. Instead, identify specific business problems (like inefficient onboarding or knowledge retention) and then explore how AI can provide practical solutions to those challenges.
• AI Excels at Knowledge Augmentation and Accessibility - AI's greatest strength lies in making organizational knowledge instantly accessible 24/7, without judgment, and at a consistent quality level. This is particularly valuable for onboarding new employees and capturing tribal knowledge from subject matter experts before it walks out the door.
• Take Time to Learn and Evaluate Before Jumping In - The AI wave mirrors the early internet adoption curve and will continue evolving over the next 10-15 years. Organizations and individuals have time to thoughtfully evaluate AI solutions rather than rushing to adopt the first available option, emphasizing the importance of learning practical applications before implementation.

Talent acquisition remains stuck in the past while organizations have drastically evolved. "We still hire like it's 1999," explains Leandro Cartelli, CEO of Lana Talent, highlighting a critical disconnect between modern business needs and outdated hiring practices.

In this episode,  Dave and Peter explore with Leandro how successful teams are built through strategic cultural assessment rather than simple skill matching. The conversation reveals the difference between "cultural fit" and "cultural add," and how one retail company reduced their 80% turnover rate by half, saving millions through targeted assessment questions.

Leandro breaks down why remote team success hinges on comprehensive onboarding (which drives 80% better retention) and intentional connection building beyond work tasks. Without deliberate efforts like virtual team activities and structured check-ins, remote work becomes "just a slogan" rather than a successful strategy.

Key Takeaways:

• Culture encompasses both fit and add - assess how candidates navigate existing dynamics while bringing fresh perspectives
• Remote work requires intentional investment - comprehensive onboarding and dedicated connection-building are non-negotiable
• Treat talent acquisition strategically - connect hiring with development plans and performance expectations for real business impact

Getting executive buy-in for transformation requires more than vision – it demands clarity about what will actually change and how success will be measured. Leaders need concrete details about what will look different in their organization, not just high-level strategy.

This episode explores balancing directive consulting with coaching. Modern transformations benefit from proven frameworks combined with coaching conversations that help leaders navigate challenges personally. We also examine measuring system change rather than just activity, understanding that progress is non-linear and involves experimentation cycles.

Key Takeaways

• Close the Vision-Reality Gap - Executives need concrete details about organizational changes, not just strategic concepts
• Blend Consulting with Coaching - Combine proven frameworks with personal coaching conversations
• Measure System Change - Focus on meaningful indicators rather than activity metrics

In this insightful episode of Definitely Maybe Agile, Shobhit, CEO and founder of Intentional Product Manager, shares his journey from engineer to McKinsey consultant to Google product manager, and now to coaching others in building fulfilling product careers. The conversation explores the challenges of breaking into product management, the critical differences between product managers and product owners, and how to demonstrate true value in an increasingly competitive field.

This week´s takeaways:

• Master the "What if I wasn't here?" question - The most powerful way for product managers to stand out is by clearly articulating what wouldn't have happened without their involvement, moving beyond just keeping engineers busy
• Prioritize product-market fit above all else - If you don't have at least 40% of customers who would "crawl to you" if you took the product away, that should be your only focus until achieved
• Balance execution with strategic thinking - Use the three horizons framework and deliberately make important long-term work urgent by creating commitments and deadlines, while leveraging AI to handle routine tasks faster

Why do so many organizational strategies end up as posters on walls rather than driving real change? In this episode, Dave and Peter dive deep with Mark Reich, who spent 23 years at Toyota before joining the Lean Enterprise Institute, to examine how Toyota's legendary Hoshin Kanri system transforms strategic thinking into coordinated action.

This week´s takeaways:

• Systems Over Silos: Toyota's integrated management system creates both vertical alignment (connecting corporate objectives to frontline work) and horizontal alignment (ensuring cross-functional collaboration).
• Value-Creating Managers: Middle management layers should be redefined as value creators and people developers rather than eliminated or reduced.
• Improvement at the Gemba: Real progress happens by focusing improvements at the "gemba" (where work actually happens) with leadership's primary role being to remove burdens from frontline workers.

Mark explains the fundamental difference between most companies' approach to strategy and Toyota's integrated management system. Unlike conventional top-down cascading goals, Hoshin Kanri creates alignment throughout the organization. The discussion explores practical aspects of strategy execution: separating strategic initiatives from daily management, structuring cross-departmental collaboration, and developing people at all levels. Whether you're struggling with siloed departments, disconnected leadership, or strategies that never fully materialize, this episode offers a blueprint for creating systems that align vision with execution while developing organizational capability.

Resources: 

• The Machine That Changed the World - by James P. Womack- https://www.goodreads.com/book/show/93903.The_Machine_That_Changed_the_World_ 
• Managing Our Purpose - by Mark Reich- https://www.lean.org/store/book/managing-on-purpose/ 
• Our Least Important Asset - by Peter Capelli- https://www.goodreads.com/book/show/75492283-our-least-important-asset?from_search=true&from_srp=true&qid=IGIsI50s8q&rank=1

In this episode of Definitely, Maybe Agile, hosts Peter Maddison and David Sharrock welcome Steven Puri, Founder and CEO of The Sukha Company. Drawing from his unique background spanning Hollywood film production and tech startups, Steven shares fascinating insights about achieving flow states in remote and hybrid work environments.

Steven's journey from IBM software engineer to Hollywood executive (where he helped manage franchises like Die Hard and Wolverine at studios including DreamWorks and 20th Century Fox) provides a refreshing perspective on team productivity and creative collaboration. He explains how the film industry has long mastered the transitions between remote, hybrid, and in-person work—knowledge that proved invaluable when the pandemic forced tech teams into distributed environments.

 The conversation explores the neuroscience of creativity, practical leadership approaches to foster flow states, and how Steven's experiences led him to create a platform specifically designed to help remote workers overcome procrastination while maintaining wellbeing. This is one not to miss! 

 Key Takeaways: 

• Leaders can create environments where flow happens - Establishing boundaries like protected focus time (e.g., 9 AM to noon) allows team members to accomplish meaningful work before daily meetings begin.
• The "two-problem" approach to creativity - Having more than one challenge to work on simultaneously can unlock creative solutions, as your subconscious mind works on one problem while you actively engage with another.
• Remote work requires different "colors on your palette" - Different work modes (remote, hybrid, in-office) excel at different tasks, with in-person collaboration being particularly valuable for creative ideation and whiteboarding sessions.

Books Mentioned:

• "Flow" by Mihaly Csikszentmihalyi - https://www.goodreads.com/es/book/show/66354.Flow
• "The Net and the Butterfly" by Olivia Fox - https://www.goodreads.com/book/show/30024684-the-net-and-the-butterfly
• "Atomic Habits" by James Clear - https://www.goodreads.com/book/show/40121378-atomic-habits

Quick fixes turning into permanent problems? You're not alone.

In this episode of Definitely Maybe Agile, Peter Maddison and Dave Sharrock tackle "longstanding risks" – those temporary solutions that somehow become permanent fixtures in our systems. From memory-leaking services to utility companies skipping maintenance, they explore how small shortcuts create massive long-term costs.

This Week's Takeaways:

• Document your band-aids with clear reasoning and next steps
• Protect team capacity to enable thoughtful decision-making
• Focus on system resilience rather than trying to prevent every failure

Perfect for engineering leaders, DevOps teams, and anyone managing complex technical systems. Subscribe for more insights on scaling agile practices and building maintainable systems.

In this episode of Definitely Maybe Agile, Peter Maddison and David Sharrock explore the critical question: "How do we know when work is ready to start developing?" They discuss the challenges of translating business requirements into technical implementation, the importance of having the right people in collaborative discussions, and practical approaches to defining "ready" work. Peter shares recent experiences with organizations struggling with this exact problem, while Dave highlights how trust between business and technology teams impacts the handoff process. They explore visual collaboration techniques, the concept of "full kit," and practical ways to determine if work is truly ready to begin.

This week´s takeaways:

1. Revisit and reinforce your work definition process regularly, as changing roles and organizational shifts can erode even the most robust systems over time.
2. Use the "full kit" concept as part of your definition of ready, and be willing to say no to work that doesn't meet these criteria.
3. Work is ready to start when it's the team's top priority, has a clearly defined problem to solve, and the team can confidently estimate it within their typical delivery range.