Daniel Cho
ATS & Data Analyst
Daniel studies how Applicant Tracking Systems parse and score resumes. With a computer science background and years working with resume-parsing data, he breaks down the mechanics — keyword weighting, parsing failures, and match scoring — into plain-English guidance you can act on. His goal is to demystify the 'black box' so candidates stop guessing and start optimizing.
Writes about
Guides by Daniel
How Many Jobs Are Actually Remote in 2026? What Seven Years of Posting Data Shows
The share of US postings offering remote work has barely moved in three years. I pulled the raw daily data back to 2019, and the flat line is hiding a big reshuffle between industries.
Does Applying Early to a Job Posting Actually Help? What 125 Million Applications Show About Timing
The minute-level timing advice circulating online traces back to one unpublished company remark and a 1,610-application blog sample. The datasets built from tens of millions of applications tell a different, more useful story.
What Happens to Your Data After You Apply for a Job: Retention Rules, Access Rights, and How to Request Your File
I usually write about how an applicant tracking system reads your resume. This time I looked at the opposite question: what is left of you in the system after the rejection email, how long it stays, and what you are actually allowed to ask for.
How Many People Actually Apply for One Job? Tracing the '250 Applicants' Statistic Against Three Modern Datasets
Everyone quotes the same number for how many people you are competing against. It traces to two blog posts with no methodology, and the three largest current datasets disagree with each other by a factor of thirty.
Can Employers Tell If Your Resume Was Written With AI? What the Detection Research Shows
I went looking for the AI detector that's supposedly screening your resume. It isn't there. What is there is a human pattern-match on generic writing, and it misfires in one predictable direction.
How Long Do Recruiters Really Spend on Your Resume? Tracing the '6-Second Rule' Back to Its Source
I traced the most-repeated number in resume advice, the '6-second scan,' back to its source. Along the way I found a fabricated citation that shows the myth never really stopped.
Pay Transparency Laws in 2026: What Job Postings Have to Tell You, State by State
More than a third of the country now works somewhere an employer must disclose an actual salary range before you apply. Here's what the state laws require, and how to spot a range that isn't real.
Age Discrimination in Resume Screening: What the Data Shows and What to Do About It
A large-scale hiring experiment found older applicants get substantially fewer callbacks than younger ones with identical resumes. Here's what the research actually shows, and which fixes are backed by evidence rather than folklore.
The Workday AI Discrimination Lawsuit, Explained: What It Means for Your Job Search
A federal judge just let a nationwide discrimination case against an AI hiring vendor move forward. Here's what it means if a screening tool has ever rejected you.
Hidden AI Prompts in Resumes: What the Data Shows About Who Uses Them and Whether They Work
Two credible numbers say wildly different things about the white-text resume trick. I went through the research on both, and the gap between them turns out to be the whole story.
Skills-Based Hiring in 2026: What Actually Changes for Your Resume (and What Doesn't)
I checked the research behind 'skills-based hiring' against real hiring outcomes. The policy shift is real. Most of the resume advice built on top of it isn't.
The '6-Second Resume Scan' Stat: Where the Number Actually Came From
I traced the '6-second resume scan' back to the study behind it, then checked what happens when someone measures it independently. The real number isn't what gets quoted.
How AI Resume Screening Works in 2026 (And How It Differs From a Classic ATS)
The keyword-matching ATS you've read about is only half the picture now. Here's how the newer AI layer actually reads your resume, and the two live lawsuits testing whether it has to explain itself.
How Long Does a Job Search Take in 2026? What the Data Actually Shows
I traced the 'how many applications you need' numbers floating around online back to their sources, the same way I did for the 75% ATS myth. Most don't have one.
Do Resume Keywords Still Matter in 2026? What to Include
Keyword matching didn't die — it changed. What modern ATS software actually scores, and how to choose keywords without stuffing.
The '75% of Resumes Are Rejected by an ATS' Stat: Where It Actually Came From
I traced the most-repeated number in every 'beat the ATS' article back to its source. It isn't a study. Here's what the real research says instead.
What Is a Good ATS Score? (And How to Improve Yours)
What an ATS resume score actually measures, the number you should aim for, and the seven fastest ways to move the needle.
How Does an ATS Work? A Plain-English Breakdown (2026)
What actually happens to your resume after you click 'submit' — the four stages of an ATS, and the myth of the automatic rejection.