Debiasing Your Engineering Leadership Decisions

Every significant call you make as an engineering leader has a moment where one path just feels right. But that powerful gut feeling is often a cognitive bias in disguise. And as a leader, you don’t just carry your biases yourself. You amplify them across every team, every architecture review, every technology choice your organisation makes.

This session moves beyond awareness. Drawing on behavioural economics and applied directly to engineering leadership, it introduces a practical five-step checklist for debiasing your decisions: whether you’re setting technical direction, evaluating architectural choices, or governing the growing influence of AI-generated work.

From recognising when cognitive fatigue is driving premature action, to stress-testing the quiet authority bias that AI recommendations now carry, this is a session about making better calls more deliberately, and building organisations that do the same.

Transcript