From skepticism to stable shortlists: a recruiter's field guide
How to make AI credible in recruiting: map AI to each stage, calibrate with hiring managers, show cited evidence in the ATS, and keep a light evaluation heartbeat.
We wanted to find talent. We got turned into resume readers.
Hiring software promised to connect us with people, but left us drowning in documents. This is the story of the resume pile, the flawed tools that created it, and how to get back to the work that matters.
Introducing AI-Powered Interview Questions: Turn Any Interviewer Into an Expert
Nova now generates personalized interview questions with expert guidance for every candidate. Get the structured guidance you need for confident interviews.
Not Every Hiring Manager Is a Recruiter — Nova Can Bridge the Gap
Discover how Nova empowers hiring managers and recruiters with AI-driven interview guidance, transforming gut-feel hiring into a structured, confident process.
The Hidden Cost of Lost Talent: How Great Candidates Slip Through Traditional Screening
Traditional resume screening often misses top talent due to human limitations and volume. Explore the true costs and how AI-powered discovery can help.
5 Mistakes Recruiters Make When Using ATS Scoring Tools (and How to Fix Them)
Most ATS scoring tools are glorified keyword counters. Learn the 5 critical mistakes teams make and how research-driven AI can transform your hiring process.
Myth vs. Reality: What AI Recruiting Actually Does (And Doesn't Do)
Debunks common AI recruiting myths with real examples, showing how modern AI provides detailed candidate assessments and transparent reasoning.
The Myth of the AI Black Box: Rethinking Fairness and Transparency in Hiring
Explores how AI can enhance fairness and transparency in hiring by providing structured, criteria-based candidate scoring and feedback.