Why ChatGPT Is NOT The Best GenAI Tool for HR (And What Is)
The landscape of Generative Artificial Intelligence (GenAI) technology is evolving at lightning speed, and there are many tools and platforms to choose from when you’re looking to streamline, automate, or accelerate your existing processes.
One of the most well-known GenAI tools is ChatGPT. This prompt-based tool is primarily designed for natural language processes and conversation generation, making it a versatile tool that understands and generates human-like text across various topics.
But is that the best GenAI tool for HR professionals? Keep reading to find out.
Overview of ChatGPT
At the heart of any artificial intelligence model lies its architecture, determining the model's capabilities and limitations. ChatGPT is an AI-powered chatbot, developed by OpenAI, that’s built upon the GPT architecture that harnesses the power of natural language processing and generation.
This conversational tool functions like a chatbot that can generate text answers in response to various prompts that the user enters. The specificity of the prompts is a critical component that ensures users can leverage ChatGPT to its fullest potential.
But how does it do this? ChatGPT relies on unsupervised learning, absorbing vast amounts of data from diverse sources to enhance its understanding and generate contextually relevant responses. This gives it a broad understanding of language but may sometimes lead to less precise outputs.
For HR professionals, broad understandings and generic outputs might get you halfway there, but it still requires some additional work to ensure the messaging is aligned with your company’s brand voice, messaging, and style.
But what tool is available that takes into account your specific business context and data sets? Phenom X+.
What is Phenom X+?
Phenom X+ is a platform-wide GenAI capability that enhances efficiencies for talent acquisition and talent management practitioners by automating content creation, surfacing actionable intelligence, and eliminating time-consuming tasks for candidates, employees, recruiters, managers, HR, and HRIS teams.
It does this by leveraging an ensemble of AI models that consist of a Foundation Model (any Natural Language Understanding [NLU], DeepLearning, or Large Language Model [LLM] such as GPT, Bard, or Cohere), Specialized Model, and Contextual Model.
You might be wondering what all of that means. It essentially means that our GenAI uses foundational, specialized, and contextual models that allow X+ to draw upon HR-specific platform data — including vertical, market, job zone, company, and team — as well as user data to personalize recommendations, increase precision, and deliver phenomenal experiences that cut down time-consuming tasks intelligently.
Phenom X+ operates in the background of countless platform features to provide recommendations, generate content, power insights, assist with chatbot conversations, and much more.
What’s the main difference between ChatGPT and Phenom X+?
While both ChatGPT and Phenom X+ are created using GenAI, they differ greatly in terms of functionality.
ChatGPT is primarily focused on taking the manual lift out of generating content for any use on any topic — this includes brainstorming activities that usually require a large amount of creative brain power.
Phenom X+, offers a complete suite of tools and capabilities within the Phenom platform that accelerate how employees, recruiters, managers, and HR leaders interact with the data that’s currently available across the entire organization.
This means that instead of having to feed all the pertinent information into a chatbot, X+ is already up to speed on everything it needs to know to start generating content in the areas you’d like help with. Most of the time, generating content is as simple as clicking a button or typing an action phrase into the chatbot, such as “create note.”
For comparison purposes let’s look at a use case of inviting a candidate to apply for an open role. Here’s a typical ChatGPT prompt:
Write me a cold email to [insert recipient and title] that highlights the responsibilities of [insert job role] and asks if [insert recipient] is interested in applying to this open position at [insert your company].
This is the ChatGPT response to the prompt above:
Subject: Exciting Opportunity: Marketing Manager Position at Phenomenal
I hope this email finds you well. My name is [YOUR NAME], and I'm reaching out to you regarding an exciting opportunity at Phenomenal. We came across your impressive background and professional achievements, and we believe you could be an excellent fit for the role of Marketing Manager at our dynamic company.
Phenomenal is [BRIEF DESCRIPTION OF THE COMPANY, ITS VALUES, AND MISSION]. We are currently expanding our team and are seeking a talented Marketing Manager to join us in driving our marketing initiatives to new heights.
Responsibilities of the Marketing Manager role:
As a Marketing Manager at Phenomenal, you would be responsible for:
1. Developing and implementing strategic marketing plans to enhance brand visibility.
2. Overseeing the creation of engaging content for various channels.
3. Analyzing market trends and competitor activities to identify opportunities.
4. Collaborating with cross-functional teams to execute integrated marketing campaigns.
5. Managing the budget and measuring the effectiveness of marketing efforts.
Given your [MENTION SPECIFIC SKILLS OR EXPERIENCES THAT MAKE JOE SMITH AN IDEAL CANDIDATE], we believe you could bring valuable insights and leadership to our marketing team.
Are you interested?
We would love to learn more about your interest in the Marketing Manager position at Phenomenal. If this opportunity aligns with your career goals, please let us know, and we can provide you with more details about the role and the application process.
Feel free to reply to this email or reach out to me directly at [YOUR EMAIL ADDRESS] or [YOUR PHONE NUMBER] to discuss this exciting opportunity further. We look forward to hearing from you and exploring the possibility of having you join our Phenomenal team.
As you can see, ChatGPT provides a general outreach email but still requires users to fill in the important information like:
Qualifications and responsibilities for the role
A company description and overview of its values and mission
Reasons why the candidate would be a good fit for that role
Your contact information
Now, watch the video below to see how X+ assists with a similar situation within the Intelligent Talent Experience platform.
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:
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.
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
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.
Kasey is a content marketing writer, focused on highlighting the importance of positive experiences. She's passionate about SEO strategy, collaboration, and data analytics. In her free time, she enjoys camping, cooking, exercising, and spending time with her loved ones — including her dog, Rocky.
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