Classet reposted this
There's a *lot* of bad AI in hiring right now. Tools that turn applicants into spreadsheet rows. Scores generated from information the candidate didn't provide. Chatbots that send you into a never-ending loop. One-way video interviews where candidates stare into a webcam avatar nodding at you nonstop, silently judging you. When we started Classet, we knew that wasn't the company we wanted to build. From day one, the question that drove us was how to make AI hiring actually a net positive for candidates. We hired over a million W2 employees through the journey of our last company (shoutout Bluecrew) and experienced the pain of trying to scale a workforce firsthand. We tried hundreds of different automation and engagement tools. That firsthand experience shaped how we built Joy. It shaped how we collect feedback. Every candidate who finishes an interview can rate it and leave their candid comments. Today we're publishing what 1,125 of those candidates, across 66 organizations, told us. Our first research report: The Candidate Side of AI Hiring. A few things we found: • 9 in 10 candidates rate their AI interview positively • The most common unprompted theme: "it felt like a real person" • Candidates describe AI interviewing as less stressful than a human interview, especially first-time interviewers and non-native English speakers • The opportunity for candidates to ask *their* questions, without judgment, or without the inherent time constraint of ‘I have 15 minutes to get this done because I have 50 phone screens to get through today’ is a massive advantage for the candidate • ~1% explicitly prefer a human recruiter (small, real, not going away) We also included the honest watchouts. We’re cognizant that the technology isn’t perfect or a fit every role or company, and it’s going to shape how we continue to improve. Five places AI interviewing still struggles, with fixes for each. 22 pages, free, no gate. Link in the comments.