In today’s fast-paced, AI-accelerated world, the ability to break down complexity is more than a skill — it’s a fundamental advantage. This session explores the art and impact of decomposition: how splitting large initiatives, ideas, or challenges into smaller, testable components enables faster learning, clearer feedback, and better outcomes.

With AI tools now allowing us to prototype, iterate, and validate ideas at unprecedented speed, the cost of experimentation has plummeted — but only if we know how to structure the work. Through real-world examples and case studies, we’ll unpack how effective splitting helps teams reduce ambiguity, surface assumptions, and test hypotheses in ways that drive strategic clarity and customer value.

Whether you’re shaping a product roadmap, navigating organisational change, or validating a value hypothesis, this session will equip you with practical techniques to work smaller, think sharper, and deliver smarter.

LEARNING OBJECTIVES

Master the art of decomposition

Design and run small-scale experiments

Apply structured techniques