The Operating System of Product is a practical book about how product organisations make decisions under uncertainty.
Most product teams still operate with tools and rituals designed for predictability: fixed roadmaps, static prioritisation and delivery-focused metrics. These approaches worked when markets moved slowly and execution was the primary constraint. They break down in high-change environments where customer behaviour shifts quickly and AI accelerates delivery.
This book argues that product work must evolve from managing delivery to architecting outcomes. It introduces a Dynamic Product Operating Model built around continuous discovery, intelligence-driven prioritisation and fast decision loops. Rather than treating product development as a linear process, it frames it as a learning system that adapts in real time.
Written from experience across fintech, banking and product-led organisations in both emerging and mature markets, the book focuses on trade-offs, failure modes and real-world constraints. It avoids idealised frameworks and instead shows how product systems can be designed to learn, adjust and compound over time.
The Operating System of Product is written for product leaders, founders and operators who are responsible not just for shipping features, but for ensuring that what gets built actually matters.
