Bob Pulver sits down with Siadhal Magos, CEO and Co-founder of Metaview, to explore how AI can unlock a more structured, scalable, and insight-rich approach to hiring. Siadhal brings deep experience from the world of product and people to unpack why interviews—despite being central to business success—remain one of the most inconsistent and intuition-driven processes in organizations. The conversation spans the origins of Metaview, the real cost of poor hiring decisions, and the gap between what hiring teams think they’re evaluating versus what they’re actually reacting to. They also discuss the difference between feedback and insight, the value of AI as an interview companion rather than a replacement, and why structured processes don’t have to come at the expense of candidate experience. Keywords Siadhal Magos, Metaview, interview intelligence, hiring decisions, quality of hire, feedback loops, AI in recruiting, structured interviews, candidate experience, decision-making, hiring bias, interview analytics, talent strategy, hiring intelligence, decision intelligence, summarization Key Takeaways Hiring is high-stakes—but under-instrumented. Most teams still rely on memory, gut feel, and incomplete notes. AI can elevate—not replace—human judgment. Metaview focuses on supporting better decisions, not automating them away.Interview feedback ≠ insight. Capturing what was said and how it was evaluated creates a far more useful learning loop.Consistency doesn’t mean rigidity. Structured interviews can still be candidate-friendly and personalized. Good hiring mirrors good product thinking. Siadhal shares how tight feedback loops, data, and clarity fuel both. Curiosity is a superpower in early-stage building. The Metaview journey is a case study in iterating with empathy. Top Quotes “The way most interviews are run is far too fragile for the importance of the decisions being made.” “We’re not trying to replace human judgment—we’re trying to give it better inputs.” “Hiring is one of the most strategic things a company does, but it’s often the least measured.” “It’s not just about the candidate’s answers—it’s about how the interviewer responded to them.” “Great teams are built through consistent, reflective decision-making—not just instincts.” Chapters 00:00 – Opening and Siadhal’s early career in product and people 06:45 – Why interviews are broken and how Metaview began 13:10 – Feedback vs. insight: a new lens on interview data 20:00 – The ethics and implications of recording interviews 26:35 – Human judgment + AI: striking the right balance 33:20 – Structured interviewing and candidate experience 40:50 – Building with curiosity: lessons from Metaview’s journey 47:00 – Final thoughts on quality of hire, trust, and team growth Siadhal Magos: https://linkedin.com/in/siadhal Metaview: https://metaview.ai For advisory work and marketing inquiries: Bob Pulver:⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠ Elevate Your AIQ:⁠ ⁠https://elevateyouraiq.com⁠⁠ Substack: https://elevateyouraiq.substack.com What’s Your AIQ? Assessment interest form