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.

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What you'll leave with:

1. Hiring is an exercise in managing risk – and both the upside and downside of each decision compound as a company grows.
2. What Google, Uber, and Netflix reveal about the power of a few shared hiring criteria in complex, fast-growing organizations.
3. Why the real work is not copying Google, Uber, or Netflix, but defining the few rules that predict success in your own company.