How One CTO Uses Cognitive Load Theory to Resize Teams

Most engineering teams are sized by headcount, not by cognitive load. In this episode, Lucas and Luna explore how one CTO at a mid-stage SaaS company used cognitive load theory to break up an overwhelmed team of 14 into smaller, autonomy-sized units — and saw throughput increase by 37% within two months. They walk through the specific signals that indicated cognitive overload: code review latency, WIP age, and the bus factor score. They also discuss how the CTO applied Team Topologies concepts to map team boundaries to business domain complexity rather than org chart convenience. The episode includes a real example of how shifting from a 14-person monolithic team to three six-person stream-aligned teams reduced cycle time by 40% and cut onboarding drag by half. If your team feels slow and you can't figure out why, this episode gives you a framework to diagnose the problem and a specific intervention to fix it. #CognitiveLoadTheory #TeamTopologies #EngineeringManagement #CTOStrategies #TeamResizing #StreamAlignedTeams #DeveloperProductivity #Throughput #CycleTime #CodeReviewLatency #BusFactor #Onboarding #SaaS #MidStage #TechLeadership #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo