A closer look at the Harvard resume standard
Harvard’s resume guide is often treated as the standard. Here’s what it actually recommends: tailoring, specific language and consistent structure.
Data-driven research on Applicant Tracking Systems, resume optimization strategies, and how AI is transforming the job search landscape.
ATS research questions and answers
Harvard’s resume guide is often treated as the standard. Here’s what it actually recommends: tailoring, specific language and consistent structure.
AI shows up on both sides of hiring, in employer software and in applicant writing aids. Here is what is documented, what is not, and how to use AI honestly in your applications.
First impressions form quickly, but the research is narrower than the headlines. Here are practical ways to start an interview well.
Practical, low-risk interview habits drawn from psychology ideas, with clear notes on what research does and does not show.
A practical look at job search tactics that come up on career forums, including recruiter outreach, asking good interview questions, showing your work and following up, with honest limits on what is known.
Practical advice on resume file format, job titles, file names, tailoring, length and what to avoid, with the limited evidence behind each point stated plainly.
Negotiation starts before you speak. Here is how to prepare, time your ask and use precise numbers, with clear limits on what research shows.
A vendor-neutral guide to evaluating resume checker tools, including what a score can and cannot tell you, plus a plain description of FilteredIn's free resume check.
What applicant tracking systems are, what vendors document about parsing and auto-reject rules, and practical steps to make your resume clear for both software and people.
Silence after applying has many possible causes. Here are seven resume problems worth checking, what vendor documentation says about how applicant tracking systems handle resumes, and a practical way to review yours.
A step-by-step guide to formatting and tailoring your software engineering, product management, or data science resume for applicant tracking systems, with illustrative examples, keyword lists, and a free resume check.
What published research says about AI help with resumes, including one large field experiment on an online labor platform, and where the evidence stops.
What published research says about AI-assisted resumes: one platform field experiment on writing help, one simulation of same-model screening, and what neither tells you about ATS.
A plain look at what research does and does not show about AI-assisted resumes and hiring outcomes, with one large field experiment as the main evidence.
AI writing tools can help you tighten a resume and match a posting honestly. Here is what is documented about ATS parsing and what research does and does not show.
Do AI tools improve interview and offer outcomes? Published evidence is thin. Here is what one field experiment shows and how to prepare without overpromising.
Resume formatting can affect how software reads your resume. Here is what Workday and Greenhouse document about parsing, and practical formatting guidance from CareerOneStop.
Applicant tracking systems organize applications, and vendors document how parsing and auto-reject rules work. Here is what that means for your resume, without the myths.
Workday and Greenhouse document ATS workflows, resume parsing and employer-set screening rules.
A 2018 vendor eye-tracking study reported an average initial screening time of 7.4 seconds. Here is what that figure does and does not tell you, and how to make a quick scan easier.
A short explainer on what applicant tracking systems do, where employers set screening rules, and what published research on AI in hiring does and does not show.
A plain, single-column resume template with standard headings that you can copy and fill in with your own verified details.
AI can help you tailor a resume to a job description. Here is what one field experiment and one simulation show, and what no one has proven about callbacks.
Parsing differences and employer-set rules can keep a resume from being read the way you intended. Here is what vendor documentation says, and practical steps to make your resume easier to process.
Five practical, editorial tips for making a resume clearer to parse and easier to match to a job description, plus what vendor documentation says about how parsing can vary.