Deep data dives

Lessons from 3,000 technical interviews… or how what you do after graduation matters way more than where you went to school

The first blog post I published that got any real attention was called “Lessons from a year’s worth of hiring data“. It was my attempt to understand what attributes of someone’s resume actually mattered for getting a software engineering job. Surprisingly, as it turned out, where someone went to school didn’t matter at all, and by far and away, the strongest signal came from the number of typos and grammatical errors on their resume. Since then, I’ve discovered (and written about) how useless resumes are, but ever since writing that first post, I’ve been itching to do something similar with interviewing.io’s data. For context, interviewing.io is a platform where people can practice technical interviewing anonymously …

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After a lot more data, technical interview performance really is kind of arbitrary.

interviewing.io is a platform where people can practice technical interviewing anonymously, and if things go well, get jobs at top companies in the process. We started it because resumes suck and because we believe that anyone, regardless of how they look on paper, should have the opportunity to prove their mettle. In February of 2016, we published a post about how people’s technical interview performance, from interview to interview, seemed quite volatile. At the time, we just had a few hundred interviews to draw on, so as you can imagine, we were quite eager to rerun the numbers with the advent of more data. After drawing on over a thousand interviews, the numbers hold up. In …

After a lot more data, technical interview performance really is kind of arbitrary. Read more »

People are still bad at gauging their own interview performance. Here’s the data.

interviewing.io is a platform where people can practice technical interviewing anonymously, and if things go well, get jobs at top companies in the process. We started it because resumes suck and because we believe that anyone, regardless of how they look on paper, should have the opportunity to prove their mettle. At the end of 2015, we published a post about how people are terrible at gauging their own interview performance. At the time, we just had a few hundred interviews to draw on, so as you can imagine, we were quite eager to rerun the numbers with the advent of more data. After drawing on roughly one thousand interviews, we were surprised to find that …

People are still bad at gauging their own interview performance. Here’s the data. Read more »

We built voice modulation to mask gender in technical interviews. Here’s what happened.

interviewing.io is a platform where people can practice technical interviewing anonymously and, in the process, find jobs based on their interview performance rather than their resumes. Since we started, we’ve amassed data from thousands of technical interviews, and in this blog, we routinely share some of the surprising stuff we’ve learned. In this post, I’ll talk about what happened when we built real-time voice masking to investigate the magnitude of bias against women in technical interviews. In short, we made men sound like women and women sound like men and looked at how that affected their interview performance. We also looked at what happened when women did poorly in interviews, how drastically that differed from …

We built voice modulation to mask gender in technical interviews. Here’s what happened. Read more »

Technical interview performance is kind of arbitrary. Here’s the data.

Note: Though I wrote most of the words in this post, there are a few people outside of interviewing.io whose work made it possible. Ian Johnson, creator of d3 Building Blocks, created the graph entitled Standard Dev vs. Mean of Interviewee Performance (the one with the icons) as well as all the interactive visualizations that go with it. Dave Holtz did all the stats work for computing the probability of people failing individual interviews. You can see more about his work on his blog. interviewing.io is a platform where people can practice technical interviewing anonymously and, in the process, find jobs. In the past few months, we’ve amassed data from hundreds of interviews, and when …

Technical interview performance is kind of arbitrary. Here’s the data. Read more »

Engineers can’t gauge their own interview performance. And that makes them harder to hire.

interviewing.io is an anonymous technical interviewing platform. We started it because resumes suck and because we believe that anyone, regardless of how they look on paper, should have the opportunity to prove their mettle. In the past few months, we’ve amassed over 600 technical interviews along with their associated data and metadata. Interview questions tend to fall into the category of what you’d encounter at a phone screen for a back-end software engineering role at a top company, and interviewers typically come from a mix of larger companies like Google, Facebook, and Twitter, as well as engineering-focused startups like Asana, Mattermark, KeepSafe, and more. Over the course of the next few posts, we’ll be sharing some …

Engineers can’t gauge their own interview performance. And that makes them harder to hire. Read more »

Resumes suck. Here’s the data.

Note: This post is syndicated from Aline Lerner’s personal blog. Aline is the CEO and co-founder of interviewing.io, and results like these are what inspired her to start this company. About a year ago, after looking at the resumes of engineers we had interviewed at TrialPay in 2012, I learned that the strongest signal for whether someone would get an offer was the number of typos and grammatical errors on their resume. On the other hand, where people went to school, their GPA, and highest degree earned didn’t matter at all. These results were pretty unexpected, ran counter to how resumes were normally filtered, and left me scratching my head about how good people are …

Resumes suck. Here’s the data. Read more »

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