Engineers complete an adaptive, multiple-choice, online quiz. Trained on over 220,000 engineers, the Triplebyte evaluation uses machine learning to identify the best candidates. We've developed a set of questions and a well-defined rubric to ensure standardization across candidate scoring. The quiz asks each candidate different questions from our large pool of potential questions, based on where they have shown strength and weakness. By doing this we are able to get more accurate results in a shorter amount of time. The statistical model we use for our quiz (item response theory) is similar to what is behind the GRE and GMAT tests. Most of the quiz questions involve looking at blocks of code and answering questions about them (finding bugs and predicting behavior). Some questions test specific knowledge.
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