Category

Original Research

Original primary research on the hiring market — how ATS systems work, what employers really screen for, and where conventional advice gets it wrong.

Most resume advice on the internet is downstream of someone's hunch. The articles in this category are different: each one is the result of original data collection — careers pages scraped, job postings parsed, ATS behavior tested — with the methodology and raw data published alongside the conclusions. We do this for one reason. The applicant tracking system between you and a hiring manager is a black box, and most of what gets written about it is opinion masquerading as fact. When we wrote that Workday powers about thirty percent of S&P 500 hiring, we had a CSV behind that sentence with 503 rows. When we say generative AI appears in less than two percent of engineering postings, we are pointing at 1,639 live job descriptions. Use these posts when you want to question the conventional wisdom, calibrate your tailoring to what employers actually ask for, or take screenshots into your job-search-strategy group chat. Every post in this category links the raw dataset so you can reproduce the analysis or push back on the methodology.
ATS market share across the S&P 500: Workday leads with 30.2% of detected companies
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Which ATS Does Each S&P 500 Company Use? (We Indexed All 503)

Original research: we scraped all 503 S&P 500 careers pages and 9,260 live job postings to map which ATS each company uses and what corporate America actually screens for.

15 min read