Recruiting Interviewer training vs coaching: the difference that decides your hiring quality Training is the floor. Coaching is the ceiling. The teams that hit hiring goals run both. Here is what each one actually is, where most teams fail, and how AI scales coaching to every interview.
Recruiting Using interview intelligence to complement the human touch in hiring The "AI or human" debate in hiring is a false choice. AI handles capture and pattern detection. Humans handle judgment and decision. Here is the complement model.
Recruiting Democratizing context Context used to live in one recruiter's head. Now it can be distributed across the team, and that single shift changes hiring outcomes more than any AI feature you can name.
We've raised a $6M seed to power People decisions with truth. Today we announce our $6M seed, led by Jonathan Heiliger of Vertex Ventures US. Mission: power People decisions with truth, starting with the ambient data from interviews.
🎙Podcast: Our Co-founder and CEO, Siadhal Magos, appears on Venture Stories I've been a long-time listener to Village Global [https://villageglobal.vc]'s Venture Stories podcast, so I was excited when they invited me on to talk
Engineering leaders Introducing Interview Metrics: Measuring what matters for growing organizations. Five years ago, Interview Metrics surfaced the diagnostic. The 2026 platform is the cure: AI Reports, AI columns, and Reports MCP turn the same dataset into a queryable, sortable, joinable signal stack the TA leader runs on.
Press release: Metaview Interview Metrics launch In 2020 Metaview launched Interview Metrics with three numbers. In 2026 those metrics are default Reports columns, with three new measurement layers and a natural-language query path on top.
📺 Video: Metaview CEO talking team building 🧱 I'm a big fan of Scede's Scaling So Far speaker series. They've had some really terrific, insightful guests on in the past (including some
Recruiting What I learnt about interviewing while at Uber Siadhal Magos revisits his 2020 Uber hiring lessons for the 2026 AI era. The consistency, transparency, and uncertainty problems are now solvable.
