BONUS #NoEstimates, Throughput, and the Superstition of Project Management With Felipe Engineer-Manriquez

In this insightful bonus episode of the Scrum Master Toolbox Podcast, host Vasco Duarte engages in a deep conversation with Felipe Engineer-Manriquez, a construction and agile practitioner, exploring the transformative power of throughput over traditional estimation and project planning. The discussion centers on the harmful myths of project management—particularly the superstition around Gantt charts and linear predictive planning—arguing that reality, not plans, dictates outcomes. Felipe shares a powerful personal story of transforming a struggling individual by focusing on human well-being and simple agile practices, demonstrating that sustainable productivity emerges from honoring people first. Vasco recounts his pivotal shift from project management to the No Estimates philosophy after witnessing a team's predictable throughput contradict a rigid, unrealistic plan, leading to the realization that 'reality is a bitch' and that only through observing actual delivery rates can teams make informed decisions. The episode emphasizes that agile success isn't about complex tools or estimates, but about creating feedback loops, maintaining communication pathways, and understanding that processes have statistical properties—predictable over time, even if individual outcomes are random. The hosts challenge the industry's obsession with earned value management and Gantt charts, calling them outdated, misleading, and often used as tools of denial. Instead, they advocate for a learning-driven mindset grounded in real data, simple visualization, and trust in team capacity. The conversation culminates in practical advice: measure throughput from past sprints, validate patterns, and let data—not belief in plans—guide decisions. The episode ends with a strong call to action for the Global Agile Summit 2026, highlighting four new tracks including Agile in Construction and Agile in Gaming, reinforcing the message that agile principles are not just for software but for any complex, human-driven work.