[ROXX] Survey on User Satisfaction with 'Z Career AI Interviewer'

Introduction Against the backdrop of recruitment difficulties due to a declining birthrate and aging population, the key challenges in hiring are improving 'selection speed' to maintain applicant enthusiasm and ensuring 'fair evaluation' to prevent mismatches. In this context, 'AI Interviewing' is rapidly being adopted as a next-generation solution to eliminate the burden of scheduling and evaluation bias associated with traditional face-to-face interviews.

Our 'Z Career AI Interviewer' is developed not just as an efficiency tool, but as an environment where candidates can present their best selves in optimal condition, supporting recruiters in making high-precision decisions. This report clarifies how the lack of evaluative pressure in an AI-driven environment contributes to improved candidate performance, alongside the convenience of removing time and location constraints.

Satisfaction Survey Summary 1. **38.4% Utilization During Nights and Weekends — Nearly 30% of Teens Interview at Night** 24.4% conducted AI interviews during late-night hours (20:00 to 08:00), and 19.8% on weekends. Nighttime use was particularly prominent among younger generations, confirming that 24/7 'asynchronous interviews' directly prevent the loss of selection opportunities.

2. **Over 90% Support Operability Across All Generations** From teens to those over 60, more than 90% evaluated the operability positively. The intuitive User Interface (UI), which does not depend on device proficiency or IT literacy, provides fair selection opportunities regardless of attribute.

3. **One in Three Experienced 'Tension Reduction'** 35.7% of candidates responded that their 'psychological burden was reduced' compared to face-to-face interviews. The positive reactions of the AI interviewer and the summary functions help bring out the candidates' inherent qualities without interpersonal stress.

4. **Room for Improvement in Connectivity Stability** Major improvement requests focused on 'communication stability' and 'voice recognition accuracy.' Adapting to diverse usage environments is a key priority for future technical development.

Survey Overview - Target: Candidates who took interviews using 'Z Career AI Interviewer' - Period: September 2025 to February 2026 - Method: Online survey via Looker - Valid Responses: 4,755

1. Reality and Evaluation of 'Asynchronous Interviews' Analysis of interview times showed that AI interviewing functions as a channel that maximizes selection opportunities for those who find traditional face-to-face sessions difficult to attend.

### a. Actual Time Slots of Usage 19.8% used the service on weekends, and 24.4% during weekday nights to early mornings (20:00–08:00). Combined, 38.4% of usage occurred outside general business hours.

### b. Lifestyle Differences by Age Group In the 10s age group, night/early morning use reached 30.8%, significantly higher than the average. Conversely, usage in the morning increased as age went up, showing that AI interviews are flexibly adapted to each generation's life rhythm.

### c. Evaluation of Convenience Over 70% in all age groups responded positively to convenience. The rationality of asynchronous interviews, which do not require real-time synchronization between company and candidate, is widely accepted across different lifestyles and employment statuses.

2. High Operability and Technical Challenges 90% or more in all age groups reported no issues with operability. The system's ability to display questions as text on the screen while the AI speaks was particularly praised, allowing candidates to concentrate on their answers.

### technical Challenges in Voice and Connectivity Among improvement requests, technical issues were the top concerns: 'Unstable audio/sound quality' (342 cases), 'Unstable connection/communication' (220 cases), and 'Low voice recognition accuracy' (207 cases). Strengthening control to adapt to various devices and signal conditions is the most important task for future updates.