We've Released an AI Assessment Feature to Enhance Skill-Based Interviews

This feature allows you to achieve the following:

• Automated Assessments: After the interview, AI automatically assesses candidates, reducing the burden on interviewers.
• Objective Assessments: AI assesses based on consistent criteria, eliminating variability and subjectivity in evaluations.
• Faster Feedback: AI provides assessment results immediately after the interview, enabling quick feedback to candidates.
• Streamlined Interview Process: The AI assessment feature streamlines the entire interview process, saving time and effort.

The AI assessment feature utilizes natural language processing and machine learning technologies to analyze candidate statements and actions during interviews. Specifically, it assesses the following elements:

• Communication Skills: Analyzes candidate communication with interviewers and their method of answering questions to assess communication skills.
• Problem-Solving Skills: Analyzes candidates' approach to problems, logical thinking ability, and proposed solutions to assess problem-solving skills.
• Coding Skills: Analyzes candidates' understanding of basic syntax and code design to assess coding skills.
• Design Ability: Analyzes understanding of scalable design, performance, and trade-offs to assess design ability.

It also significantly improves the skill-based interview assessment process and reduces the burden on interviewers. The objectivity of assessments and speed of feedback also benefit candidates.

This AI assessment can be used in skill-based interviews where candidates submit assignments beforehand, and the interview delves deeper into the results of these assignments to determine both hard and soft skills, particularly when discussions revolve around coding or design tasks during the interview.

Benefits Gained:

• Automatic Assessment Generation: Analyzes submitted code, design results and processes, and communication logs to automatically generate assessment results based on common metrics preset in HireRoo. This allows for verification of assessment results based on logs.
• Prevents Subjectivity in Assessments: In traditional interviews, assessment content varied among interviewers. With this AI assessment, AI evaluates based on content, preventing subjectivity in interviewer assessments.
• Assessment Across 4 Categories: Assesses coding skills, communication skills, problem-solving skills, and design ability based on candidates' submitted code, system designs, and conversation content.

To use AI assessment, video calls for interviews must be conducted on HireRoo. The system automatically assesses using communication logs and technical tasks during the interview.

Background of the Release

Due to interviewer bias and individual differences in assessment criteria, bias and variability in evaluations occurred, making it difficult to accurately assess candidates. While traditional skill-based interviews made live coding easier by preparing questions in advance, there was a need to streamline the entire assessment process and reduce the burden of interviews.

By introducing AI-powered skill-based interviews, it becomes possible to evaluate both hard and soft skills and comprehensively assess candidates' abilities. AI not only automates live coding results but also supports the entire interview process, reducing the burden on interviewers and enabling more objective evaluations.

By realizing AI-era skill-based interviews with HireRoo, we can more accurately assess candidate skills and improve the quality of the entire hiring process. Additionally, reducing interviewer burden enables more efficient recruitment activities.

Request Here

We will continue to update for greater usability, so if you have any requests, please register them via the HireRoo Request Feedback Form.