Blog
Insights on fair, evidence-based hiring
Interview structure, scoring strategies, and practical systems that help teams hire on signal instead of noise.
AI interviews and the law: NYC LL144 and the EU AI Act, explained
New York audits automated hiring tools; the EU AI Act classifies employment AI as high-risk. What each law requires from an AI interview.
Read more →
The math of high-volume screening: why round one is the bottleneck
Screening hundreds of applicants with 30-minute calls doesn't scale. The numbers behind the first-round bottleneck — and what async voice changes.
Read more →
What a 10-minute voice interview can — and can't — tell you
Voice reaches depth forms can't — adaptive follow-ups, real examples. It also tempts you to judge sound over substance. Where Hure draws the line.
Read more →
What actually biases a first-round interview (and what doesn't)
Accent, confidence and polish sway interviewers more than content does. What the research says about interview bias — and how structure removes it.
Read more →
Evidence-based scorecards: what to cite and what to ignore
A score without evidence is an opinion. Here's how to anchor every rating to what candidates actually said — and what to deliberately leave out.
Read more →
How to run structured interviews at scale
Unstructured first rounds quietly punish strong candidates. Here's the evidence for structure — and a practical path to consistency across every interview.
Read more →