By ‘listening’ to job interviews, AI helps the HR industry reduce mundane repetitive tasks, and even elevate the employee experience in the organization.

There is a new HR solution area where the use of AI is being explored. Trailblazing the way is HireLogic, and CXpose.tech interviews its CMO, Rich Mendis, to discover how  AI-enabled interview intelligence is revolutionizing the way that the HR function sources and evaluates talent.

Rich described, “We are essentially trying to create a new market here around the space of interview intelligence, which helps HR recruiting companies, or staffing companies. They have been doing interviews the same way for many, many years, and here is an opportunity to gain more valuable insights.”

By ‘listening’ to job interviews, their intelligence solution is able to transcribe conversations and use machine learning models to understand the context and extract relevant information. This information is then used to generate a summary or synopsis of the interview, which can be used to evaluate candidates and make informed hiring decisions.

Machine learning models then kick in to understand the context and extract relevant information from conversations, ultimately providing more accurate and objective evaluations of candidates, potentially reducing bias and increasing diversity in the hiring process.

How does better HR intelligence lead to good CX?

Expertise in deep marketing tech

Rich shared that marketers need to have a desire to learn if they aren’t already subject matter experts. “(Becoming an expert) is something that you have to do, as a CMO in whatever industry you are in.” On that note, he is applying his vast experience in co-founding companies and entering new markets to his CMO role at HireLogic.

Rich acknowledges the importance of getting the right product feedback. Rich admitted the old-fashioned way of getting feedback through consumer panels, interviews, and so on are expensive, but technology is helping startups like HireLogic overcome this. For example, UserVoice is a service that allows them to target specific roles to get product feedback, positioning, messaging, and so on.

Over the years, Rich acquired deep marketing tech expertise and outlined how he currently sees three broad aspects to marketing tech solutions out there: automation, data, and emerging generative AI.

All in all, technologies and solutions like the Internet, and networking tools like Linkedin, and more have drastically lowered the cost and barrier to adopting and piloting new marketing technologies.

“The old-fashioned way of getting feedback through consumer panels, interviews, and so on are expensive, but technology is helping startups like HireLogic overcome this.”

But Rich cautioned that marketers still need to stay on top of things as marketers, and apply good old fashioned methods and concepts like understanding target buyer personas, how to collect feedback, how to synthesize them, and then translate them into user requirements, effective messaging, effective positioning, and so on.

The art of marketing, if you can call it that, is key to knowing what tools and infrastructure are useful for the different tactics.

“If you’re not good at the fundamentals, it doesn’t matter what tools you have. You’ll just be putting out a message that’s not working. Nothing replaces the marketing fundamentals, right?” Rich concluded.

SUMMARY

One of the biggest challenges in HR is finding the right talent. This process involves sourcing, evaluating, onboarding, and developing employees, and one historical hurdle is that HR tech has been optimized for the HR persona, not necessarily the employee persona. However, with the rise of AI and machine learning, there is an opportunity to revolutionize the HR space, create a more seamless and efficient process, and elevate HR experience for HR and employees alike.