Let’s be honest.

Traditional communication methods for interviews are becoming frustrating nowadays – for recruiters and candidates as well.

Emails, WhatsApp, and IVR have given the best traction over the years but now, it’s reducing the interest and engagement levels of candidates.

Reason? They have to take action!

On top of that, it’s also tiring for the recruiters to make hundreds of calls every day to find the right talent.

They have to go through the same old experience of dialing, conversation, and missed calls.

What’s more concerning about this method is – limited scalability, inconsistency in evaluation, time-consuming, and the list goes on and on.

So, what’s the solution here?

How to ensure a seamless and positive experience through the hiring funnel for the recruiters?

How to not only attract top talent but also make a lasting impression on them about the hiring experience?

Well, there is an answer to all of these questions – Generative AI Voice Interviews!

In this blog, we’ll explore some of its stunning capabilities, but before that, let’s give a quick overview of it.

5 Exciting Capabilities of Generative AI Voice Interviews

As shared by Josh Bersin,

However, Generative AI Voice-based interviews can streamline the scheduling process by automating the coordination of interview times.

Recruiters can set specific criteria, and the AI system takes care of arranging appointments with candidates.

This automation not only reduces the administrative burden on recruiters but also accelerates the entire interview process, saving time to hire and cost.

The scalability of AI-driven interviews is a significant advantage for recruiters dealing with a large volume of candidates.

AI systems can efficiently handle multiple interviews simultaneously.

This allows recruiters to reach a broader pool of candidates without compromising the quality of evaluation.

Such scalability is particularly beneficial in high-demand hiring scenarios.

AI ensures a consistent and standardized evaluation process.

Predefined criteria are used to assess all candidates, reducing the impact of human biases and ensuring that each candidate is evaluated on the same parameters.

This consistency leads to fairer and more objective hiring decisions.

Voice-based AI interviews serve as a valuable tool for early screening.

By automating the initial qualification process, recruiters can quickly identify candidates who meet basic requirements.

This not only saves time but also allows recruiters to focus their attention on more in-depth assessments during the later stages of the hiring process.

AI-generated insights and analytics offer recruiters valuable data for decision-making.

The analysis of candidate performance data allows recruiters to identify patterns, trends, and areas for improvement in the hiring process.

This data-driven approach facilitates continuous improvement and optimization of the recruitment strategy.