Why ChatGPT Is NOT The Best GenAI Tool for HR (And What Is)

Overall, the main differentiating factor is the ability for X+ to refer to existing available data to help you perform daily tasks aligned with the businesses’ hiring goals and generate personalized content based on layers of context whereas ChatGPT requires additional prompt input from the user before being able to generate any personalized responses or content. 

How is GenAI transforming processes for HR?

“It has a major impact on HR processes,” according to the VP of Product Management at Phenom, Kumar Ananthanarayana. 

With GenAI, we can integrate systems and start to decipher unstructured data in a meaningful way. Two key pillars make up Generative AI systems: Data Generation and Data Summarization. 

Natural Language Processing (NLP) has been a central part of the evolution of AI and machine learning models. We use this technology to understand keywords as well as:

• Semantic relationships

• Correlation between skills on a resume

• Sentiments of feedback 

• Understanding for conversational AI in chatbots 

But this only hits on the first phase of NLP with GenAI. Today, we can transform these foundational contextual layers to generate new content in new areas across HR.

Let’s dig into a common use case and how generative AI can leverage context to provide new ways to better understand existing data, as well as ways it streamlines hiring for your talent acquisition and talent management teams. 

Job description use case example 

Job descriptions have been progressing for the last couple of years, but now with generative AI, we can take those learnings and transfer them to newer areas. 

For example, a Fit Score within the Phenom platform quickly highlights with letter grading how well a candidate meets the qualifications of that particular job — taking into account skills, years of experience, and other data points — which helps recruiters identify top talent faster. 

With generative AI, the learnings obtained from Fit Score that outlines best-fit candidates from a skill and experience level can be translated to interview questions that help interviewers determine whether the individual they’re speaking to has the right expertise that will help them succeed in the role they’re hiring for. 

This supports the human-in-the-loop by providing a more standardized context to ensure that interview teams are not only getting to know the candidate better but also establishing a foundational way to interview for open roles across the organization. 

What significance does historical data play when it comes to GenAI in HR?

“It depends on what context and use case you’re developing genAI for,” said Kumar Ananthanarayana, Phenom VP of Product Management, during an episode of Talent Experience Live titled The Pros and Cons of GenAI in HR (and what makes Phenom X+ different).

Historical data has an impact on traditional AI systems where you might have hidden biases or under-representation of data that gets duplicated throughout your systems. Ensuring these biases aren’t replicated and rectified is important, which is why the overall design of your generative AI is critical. 

A well-built generative AI system should work to combat hidden biases instead of copying existing learnings as-is and using them as a foundation for numerous use cases. If you are looking at use cases for text generation, you have fewer issues in certain contexts which makes it easier to implement and leverage. 

What separates Phenom X+ and makes it advantageous for HR teams specifically?

“I think the biggest advantage is the context that we’re able to inject for generative AI use cases,” Kumar noted. There are multiple use cases where generative AI makes a positive impact on HR teams, but let’s take a look at two examples. 

Think about a simple use case. The way you reject a candidate the first time they apply to a job versus the way you want to reject a candidate or send an email to a candidate when they’ve previously been rejected, but still attempted to get another job is completely different. 

That layered context is important when crafting appropriate messaging to send to a candidate. That’s the first difference between leveraging a third-party GenAI tool versus an integrated platform. 

Another use case is generating job descriptions. The way you open job descriptions relies heavily on skills context. 

You can go to ChatGPT and ask it to generate a job description for X position. The result is developed based on a generic context, so it may not represent your brand voice or your preferred messaging style. It also can’t gain insight into additional data points that provide critical information to make your hiring efforts more effective and poignant. 

Within a connected platform, you can leverage the context that already exists within your systems. 

Let’s say you want to hire somebody in your Marketing department. Within the Phenom platform, we already know the composition of the team, what skillsets everybody has, and we get a sense of what skills need to be highlighted to account for skills gaps in the team. in the job description itself. 

Phenom X+ takes that context and uses it to generate a job description that hits on those skills needed to 

“That’s a powerful story, and that’s what generative AI can help us do,” remarked Kumar. 

Phenom X+ is user-friendly and intuitive, allowing users to provide minimal inputs while receiving tailored outputs that best suit their needs depending on what format they use to interact with X+. What we mean by this is it’s engineered using numerous AI learning models that allow it to run seamlessly in the background — and it can be engaged with on various pages in different formats to support your teams. 

Talent Acquisition:

• Generate job descriptions 

• Summarize video interviews 

• Invite candidates to apply for an available position

• Answer FAQs and perform tasks through a chatbot

• Generate subject lines and email content 

• Review content on a webpage and provide SEO recommendations

• Generate text for web pages in your CMS 

• Leverage content from links to create new lead profiles 

• Generate personalized rejection emails to job applicants 

• Create a mass campaign for your database 

• Create SMS campaigns and messages 

Talent Management: 

• Create subject lines for emails  

• Help new users navigate the platform and features 

• Answers common questions and links to relevant content based through chatbot 

• Provides performance insights across teams with next steps  

• Identify succession planning opportunities for high-performing employees 

• Flag employee flight risks and provides prescriptive guidance 

• Detect skills gaps and surfaces upskilling and reskilling opportunities

• Generate personalized emails and campaigns, as well as audience segments to foster development

• Interpret and communicate organizational talent trends and ways to stay on pace

This is just a short list of all the activities X+ can assist with through just a click of a few buttons. Overall X+ offers more functionality, capabilities, and opportunities to streamline your everyday tasks beyond what you can accomplish by leveraging a GenAI chatbot. 

Maximize the power of GenAI for HR with Phenom X+ 

Instead of feeding ChatGPT all the pertinent information it needs to help you streamline your everyday activities, trust Phenom X+ to be the subject matter expert, virtual assistant, and conversational chatbot that’s there to help you reach superhuman levels of efficiency. 

To learn more about how Phenom X+ is designed to support talent acquisition and talent management teams alike, read this article. 

*The information provided on this website does not, and is not intended to, constitute legal advice. All information, content, and materials available on this site are for general informational purposes only.