This is a discussion of a framework for managing and scheduling innovation by treating breakthroughs as a series of structured learning cycles. Rather than viewing invention as an unpredictable event, the authors argue that speed is achieved by failing fast to accelerate knowledge gain and compressing the time required for each experiment. Success depends on steering committees providing dedicated resources and shielding teams from corporate interruptions while avoiding group fixation on difficult problems. The strategy emphasizes challenging existing paradigms through lateral thinking and utilizing systems architects to manage complex technical interfaces. By using macro-to-micro planning, teams can maintain a rough long-term schedule while refining immediate tasks as new information emerges. Ultimately, the sources suggest that isolating high-risk innovations and running concurrent learning paths allows organizations to predict and meet market windows more reliably.