AI for HR: How to Clearly Communicate What You Need from AI to Gain Real Value

Human Resource professionals are adopting AI fast. The tools are everywhere: built into HRIS platforms, applicant tracking systems, and available through general-purpose assistants such as ChatGPT, Gemini, and Claude.

It’s no surprise then that weekly AI usage among HR professionals jumped from 58% to 72% in just one year, according to HireVue's 2025 Global Guide to AI in Hiring.

But there's a gap between using AI and getting real value from it. Eighty-eight percent of HR leaders said their organizations hadn't realized significant business value from AI yet, an October 2025 Gartner survey found. That's because most people haven't learned the foundational skill that makes it work well.

That skill is prompting, the ability to clearly communicate what you need from AI in a way that produces outputs you can actually use. Our AI for HR course in AI Academy emphasizes that prompting is the most fundamental skill of the entire AI-forward HR professional and serves as the new foundation for how knowledge workers do work with AI.

Why most AI outputs fall flat

The pattern is predictable. An HR professional opens ChatGPT, types a quick sentence such as, "write talking points for a performance conversation," and then gets back something generic and vague, which is borderline useful. As a result, they might conclude AI is overhyped or that it can’t handle these types of tasks.

But the problem isn't the AI tool. It's the input. A vague, low-context request will produce a vague, low-value result every time, no matter how powerful the AI.

For stronger outputs, you need stronger inputs or prompting.

A five-part framework for better results

The following structure works across any AI tool, whether it's a standalone assistant or a feature embedded in your HR software. Think of it as a checklist for giving AI enough to work with.

• Role: Assign the AI a specific expertise. "Act as an experienced HR business partner at a mid-size technology company who specializes in coaching managers through difficult performance conversations."
  
  
• Task: State the specific action clearly and directly. "Draft a conversation guide with talking points for a manager who needs to address declining performance with a valued employee."
  
  
• Context: Provide the background that shapes the output. This is where most prompts fall short and where the biggest quality gains happen. For example: "The employee has been with the company for three years and was previously a strong performer. Over the past quarter, they've missed two project deadlines and their work quality has declined. The manager suspects personal issues may be a factor. The goal is improvement, not termination."
  
  
• Examples: Show the AI what good looks like. A past coaching guide, a communication style you admire, a paragraph that captures the right tone. This is one of the most underused elements and one of the most powerful.
  
  
• Format: Specify the structure and length you need. "Format as a structured conversation guide with an opening statement, three to four key talking points with suggested language, questions to understand the employee's perspective, and a path-forward discussion. Keep it under one page."
  

The before and after

Compare a typical prompt — "Write talking points for a performance conversation" — with the structured version above. The first produces generic advice that could apply to any company, any employee, any situation. The second produces something a manager could walk into a meeting with tomorrow.

The investment is an extra two to three minutes of setup. The return is an output that's ready to use rather than one that needs to be rewritten from scratch.

Context and examples make or break it

Of the five components, context and examples consistently drive the most improvement. Context gives AI the situational awareness to move beyond generic advice. Examples give it a concrete target for tone, depth, and format that instructions alone can't fully convey.

If you're short on time, those are the two to invest in first. A prompt with strong context and a clear example will outperform a longer prompt that's missing both.

A skill that transfers everywhere

The reason prompting is worth learning now isn't just about getting better results from ChatGPT. The underlying ability — clearly articulating a problem, providing relevant context, and defining what a good outcome looks like — transfers to every AI system you'll encounter, including the copilots and AI features increasingly embedded in platforms including Workday, SAP SuccessFactors, and ADP.

The tool matters less than the skill. HR professionals who build this foundation now won't just get better outputs from today's tools but will be positioned to get the most from what comes next.

Learn More at AI Academy

AI for HR s a comprehensive learning journey designed to transform how you approach human resources in the age of artificial intelligence. You will move from understanding the strategic imperative for AI adoption to building a complete, prioritized action plan for your specific role and organization.

Across four courses, you will master frameworks for identifying and prioritizing AI opportunities, learn to navigate the complex technology landscape with confidence, and develop hands-on skills that put you ahead of the vast majority of HR professionals. Whether you are a frontline practitioner managing daily operations or a senior leader responsible for workforce strategy, this series will equip you with the mindset, methodology, and practical capabilities to lead AI transformation in your organization.