Nova Perspectives
Discover fresh insights, thoughtful discussions, and practical guidance on fairness, transparency, and innovation in hiring. Nova Perspectives explores how AI and human judgment can collaboratively create clearer, more effective recruiting practices—helping you build teams confidently and thoughtfully.
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: building relationships.
Introducing AI-Powered Interview Questions: Turn Any Interviewer Into an Expert
Nova now generates personalized interview questions with expert guidance for every candidate. Whether you're a hiring manager without recruiting training or a recruiter interviewing outside your expertise, 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. Learn how dynamic question suggestions and role-specific focus areas upskill your team and lead to better hires, faster.
The Hidden Cost of Lost Talent: How Great Candidates Slip Through Traditional Screening
Traditional resume screening processes often miss top talent due to human limitations and the sheer volume of applications. This article explores the mathematical and practical reasons why great candidates are overlooked, the true costs of this lost talent (including missed innovation and competitive disadvantage), and how AI-powered discovery tools can help companies find every qualified applicant.
5 Mistakes Recruiters Make When Using ATS Scoring Tools (and How to Fix Them)
Most ATS scoring tools are just glorified keyword counters that miss great candidates and waste recruiter time. After comparing tools across Ashby, Workable, Lever, and Greenhouse, we identified 5 critical mistakes teams make—and how research-driven AI can transform your hiring process from generic rankings to intelligent candidate insights.
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—not black-box decisions or human replacement—while reducing bias and freeing recruiters to focus on relationship building.
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, contrasting it with traditional hiring pitfalls.
