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by lhorie
1616 days ago
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One needs to be especially careful with adapting experience to interview questions. Unlike the candidate, you probably were already immersed in the problem domain for months or years and have good context in what techniques exist and are relevant to the problem domain. One mistake some interviewers make is implicitly assuming that candidates can somehow conjure the same level of context from first principles, or that a specific algorithm might be familiar or reusable outside of its original context. Another mistake is "looks-like-me" bias. For example, I happen to have a lot of context on a very specific algorithm that underlies basically every modern web framework but if I wanted to evaluate a candidate on web performance, I'd look at performance optimization as a open ended problem domain rather than drilling them on the particulars of this specific algorithm. In fact, out in the world of web framework performance, the most novel advancements come not from revisiting the algorithms but from looking at the problem domain from entirely new angles that had not even been considered before. |
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