
When an interview is over, what’s left is the interviewer’s memory and the notes they worked hard to take. That record is what decides whether a candidate moves forward. But how accurate are the interviewer’s memory and those interview notes, really?
Telta has launched Interview Pro, an AI assistant that supports the entire hiring interview process.
At many companies, the same problems keep coming up: the quality of questions varies from interviewer to interviewer, evaluation criteria are unclear, and candidate ratings shift with an interviewer’s mood or intuition. As a result, companies miss the right people or hire candidates who weren’t properly vetted. At its core, the problem is one thing: there’s no system for recording and analyzing what candidates actually said and which competency signals they showed.
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Interview Pro records the entire interview in real time and generates a transcript automatically. During the interview, it summarizes the candidate’s answers, analyzes the competency signals in them, and suggests follow-up questions. Interviewers can focus on the conversation and on probing deeper instead of taking notes.
After the interview, it generates a competency report grounded in what the candidate actually said. Evaluations apply competency standards based on global benchmarks, which reduces rating gaps caused by individual interviewer differences. “Many companies still make important hiring decisions based on interviewers’ memory and instinct,” said Dr. Soyoung Jeon, head of Telta. “Interview Pro is designed to enable more precise, consistent evaluations grounded in what candidates actually say.”
Hiring accuracy doesn’t come from the number or frequency of interviews. It starts with capturing exactly what happens in the interview you’re running right now.
Read the original Money Today article, “‘Should We Hire This Candidate?’ AI That Helps Interviewers Arrives” (in Korean)
https://www.mt.co.kr/future/2026/04/27/2026042709364185156