Hiring teams who use modern software and artificial intelligence gather and analyze data from interviews, resumes, and applications. Because of AI transcribing and automation services, you may analyze data from virtual interviews, online records, and existing recruitment databases. Here are four ways to use interview intelligence in your hiring process:

Capture and Record Interview Data

Gathering interview intelligence requires analyzing data from interviews. Custom recruitment platforms and services offer seamless talent acquisition featuring pre-recorded and live remote interviews. Such platforms allow you to schedule and record interviews at convenient times, assess live interview scoring and feedback, and provide reports and summaries.

Recording interview data gives you metrics you can analyze for trends and other insights. Capture high-quality videos and audio to create transcriptions for your hiring team to analyze further. Use standardized interview questions to achieve fair evaluation and measure candidates’ readiness for employment.

Use Artificial Intelligence For Analysis

AI-powered tools allow you to analyze data from your interviews, records, and databases held by other companies. These tools can analyze candidate responses in real-time or after the interview for detailed summaries and highlights. AI tools also provide reports and analyses highlighting specific candidate skills, tones, and company culture fits.

The tools can be deployed to analyze historical data from past interviews and competitors to determine valuable employee traits. Such analyses help identify successful strategies and patterns. AI also automates scoring and feedback, resulting in more objective evaluations based on predefined criteria. This means the technology can reduce interview bias and streamline decision-making during the hiring process.

Make Data-driven Decisions

Gathering data and intelligence from interviews gives you valuable insights into your process. You can identify the traits and interview performances that have yielded more success in the company. Analyzing data also indicates failures and areas that need improvement in your interviewing process. Knowing this data allows you to refine your hiring strategies and approaches, from job description and posting to post-interview feedback and rejection letters. Using real data reduces guesswork and subjective decision-making. Use the analytics and intelligence provided by your AI tools to formulate actionable decisions and adjustments.

Train Your Interviewers

Coaching your interviewers gives them the skills to conduct objective interviews in a standardized format, reducing unconscious bias. A trained team can gather more actionable data and pick up on behavioral insights, such as speech patterns, sentiments, and non-verbal cues. You can use data to provide training on biases, interviewing techniques, and different scenarios.

Train the interviewers on how to enhance candidate experiences and use predictive job success analytics. Monitor the hiring team’s processes and success to identify areas for improvement. Use interview data and intelligence companies to automate training through coaching videos and captured interviews. Post-interview review and analytics can also identify coachable moments to help interviewers deliver improved experiences.

Start Using Interview Intelligence Today

Modern interview platforms and technologies allow you to gather, transcribe, interpret, and analyze data from candidates, hiring teams, and employment databases. You can deploy AI and automation techniques to gather actionable data and identify areas that need changing in your hiring strategy. Start using interview intelligence software and platforms today to improve your employment outcomes.