Hiring is full of complexity: limited time, imperfect information, hidden bias, and costly mistakes. But the best hiring systems are often built on a surprisingly small number of clear rules. At Google, I followed a hiring rubric without recognizing the principles behind it. Later, I stumbled upon a business book and had an aha: this was what Google had been doing for years. I took that insight to Uber and Netflix, turned it into something explicit and teachable, and have continued refining with startups. Through real stories, I’ll show how a few shared criteria can produce better interviews, clearer feedback, and faster, more consistent hiring decisions.
What you'll leave with: