Companies handling multiple interviews at once need a digital interface that helps accelerate the process. Artificial intelligence (AI) takes advantage of natural language processing to handle multiple document processing in the interview process. The four steps involved in an AI interview include:
Initial Screening
AI interview software relies on training data from submitted documents, texts, and media. Integrating this software enables hiring teams to analyze and organize documents submitted to the company through its online form applications. AI examines these documents for keywords and other information, allowing them to match employees to the ideal job. For example, if the company wants a software engineer with experience in C++ programming, the AI looks for resumes with this keyword. This helps hiring teams review and approve multiple applications faster and more efficiently.
Technical Interview
Technical interviews assess the candidate’s knowledge, skills, and proficiency relevant to the position. Some technical interviews might include coding challenges, problem-solving tasks, and questions associated with the job. The human interviewer uses the AI interface to track applicants’ time to complete the interview. AI collects data to score prospective employees’ performance during the technical interview. The system also sorts and clusters this data for further analysis in the next step.
Data Analysis
AI examines all the interview data and provides a comprehensive report showing the most suitable candidates. The system presents this data based on the criteria implemented by the hiring organization. Human resource managers who value proficient communication skills may rely more on video interviews. Businesses may want technical experts to look at each candidate’s test results.
The AI tool’s analysis shows areas where the interviewer might have implicit bias. It highlights sections in the interview where the examiner used harsh language or gave inadequate response time. This analysis may also feature candidate sentiment analysis, which shows whether the respondents were satisfied with the interview process.
One benefit of this process is its ability to generate multi-layered profiles for each candidate. Organizations that want a more diverse workforce organize data by demographic qualities to determine whether their hiring process is fair. This allows the organization to plan for current labor needs and have profiles that interest them for future hiring should new positions arise.
Feedback and Improvements
Fast data processing and background analysis throughout the interview allow AI software to provide faster feedback. This benefits the applicants by receiving their scores immediately after the interview. Such quick feedback allows the applicants to either reapply if they failed or improve themselves for another interview if the opportunity arises. The feedback loop also helps enhance the interview process further. Hiring teams use data gathered through numerous interviews to improve how they interact with candidates, like using more neutral language.
Use AI Interview Software
AI interview algorithms enable companies handling applications globally to evaluate candidates in a centralized and standardized way. Look for an AI software company with multiple years of experience integrating the software with the organization’s current systems. Consult the developer today to understand how to improve your recruitment and interviewing process.
