The InterviewBoost Blog
Practical, evidence-backed writing on interviews, resumes, and the modern job search. Every post here exists to answer one question a candidate is actually stuck on — not to rank for a phrase and leave you where you started.
Hiring changed faster than the advice did. Most job seekers are now screened by software before a human sees anything, interviewed against a scoring rubric the interviewer was trained on last quarter, and compared against candidates who rehearsed with an AI the night before. We write about what that means in practice: how parsers read a resume, what interviewers write on the scorecard, and which pieces of long-standing advice have quietly stopped working.
Posts are grouped by topic below, and each one is dated and revised as hiring practice moves. If something here is out of date, it is a bug — tell us.
Behavioral interviews
The "tell me about a time when…" round decides more offers than the technical round does, because it is the part interviewers are trained to score against a rubric. These posts cover the frameworks — STAR and its variants — the story bank you should build before you interview, and the specific failure modes that make a strong candidate sound vague.
The STAR Method: How to Structure Interview Answers That Land Offers
The STAR method — Situation, Task, Action, Result — is the fastest way to turn rambling interview answers into memorable, evidence-backed stories. Here is how to use it, with examples.
Jul 27, 2026 · 7 min read
"Tell Me About Yourself": The 90-Second Answer Formula (With Examples)
The opening question of nearly every interview is also the most fumbled. Here is a simple present-past-future formula for a 90-second answer that sets up the entire conversation in your favor.
Jul 27, 2026 · 6 min read
Resumes
Before a human reads your resume, a parser does. These posts cover how applicant tracking systems actually read a document, which formatting choices silently destroy a parse, how far back your history should go, and how to mirror a job description without keyword-stuffing.
What else is worth reading
The blog is the opinionated end of what we publish. If you want reference material instead, the interview question library covers specific company-and-role loops, Answers handles single job-search questions directly, and Comparisons weighs AI interview tools against each other on fixed criteria. Everything is free and needs no account.