Have you ever seen a group of blindfolded people touching different parts of an elephant and arguing over what it is? One says it’s a rope, another says it’s a tree, someone else insists it’s a spear. Each of them is right—in their limited view—but completely wrong in understanding the
Build All You Want — But If You Can’t Answer These 3 Questions, Nobody’s Buying Who decides what to build?How is it decided?How do we know it will be useful? These 3 questions look simple on paper — but they separate successful products from those that quietly die after months
The SAFe framework distinguishes between the Product Owner (PO) and Product Manager (PM) roles—where the PM defines the vision and strategy, and the PO focuses on execution and delivery. But great product leaders like Marty Cagan and Jeff Patton challenge this division. They believe a true product leader does both—owning
AI in Agile: Racing Faster… But in the Wrong Direction? A few months ago, I was invited to observe how AI was being integrated into a Fortune 100 company’s operations. When I walked into the conference room, the whiteboards were covered—flowcharts, decision trees, AI integration plans, pages upon pages of
Software projects are becoming increasingly complex. This complexity demands Agility. Agility translates to faster product increments, shorter review cycles, end-to-end picture of the product which essentially means incremental and iterative delivery. Quality needs to be built in. End user and customer engagement (via the PO) is indispensable for both building
Agile was born in the world of software development, but its values and principles extend far beyond coding. Despite this, many people still believe, “Agile is only for IT.” It’s a mindset that has kept countless non-IT teams from exploring its transformative potential. Agile is not just about frameworks or
Leadership is more than just a title or position—it’s the actions you take every day to earn trust and inspire your team. But, trust cannot be built overnight; it has to be nurtured through deliberate, consistent effort: One Brick at a Time. Whether you’re guiding a small team or leading
Introduction Agile and AI together are a powerful combination that’s shaping the future of how we work. Agile gives us flexibility, quick feedback, and collaboration—important aspects for dealing with the complexity of AI projects. AI, on the other hand, brings speed, efficiency, and (large) data-driven insights that boost Agile practices.
Introduction: Agile Transformation is a Journey Agile transformation is often misunderstood as a one-time event or a quick fix. In reality, it’s a continuous journey. The term “transformation” itself is slightly misleading—what we are doing is creating new possibilities for more effective ways of working. This journey starts with understanding
Understand the Importance of Choosing the Right People for Agile Transformation: In my 20+ years of association with software development, one thing I’ve realized is how important it is to select the right people for an Agile transformation. These transformations are costly—both in terms of time and resources—so it’s crucial
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