Presentation: Interview Engineering: The Science of Predictive and Fair Hiring
Abstract
Have you ever wondered why some teams struggle to hire software engineers and others don’t?
The answer may lie in the interviewing process leading up to the hiring decision.
Before deciding whom to hire, teams conduct multiple interviews, complete write ups, and debate the performance of the candidate. Teams that successfully achieve hiring goals do so by making structural changes to how they interview software engineers and leverage data to run their hiring processes.
Using insights from analysis of tens of thousands of hiring loops, Karat’s Director of Developer Relations Lusen Mendel will share best practices for making hiring decisions that are predictive, fair, and enjoyable.
Attendees will walk away with:
- Steps for creating structured and measurable interviewing and hiring processes
- An understanding of how to test and implement highly predictive interview questions
- A mental model for breaking apart complex interview problems so that candidates can solve more on their own