Chatgpt for Recruitment

Recruitment AI Prompts Explained – Role Comparison

Ever been caught between two job options—or needed to explain to someone why “Data Analyst” isn’t just a fancy version of “Business Analyst”? If you’ve worked in recruiting, IT, or even just helped a friend job hunt, you know how confusing role titles and expectations can get. That’s where a clear, structured role comparison prompt comes in handy.

Recruitment AI Prompts Explained - Role Comparison

Today, I want to pull back the curtain on one of my favorite tools for sorting out role confusion: the detailed, table-based role comparison prompt. Whether you’re a recruiter trying to help a candidate make sense of their options, or you’re a hiring manager clarifying what you really need on your team, this prompt is pure gold.

What Is This Role Comparison Prompt, Anyway?

In plain English? It’s a fill-in-the-blanks guide designed to compare two jobs head-to-head, in all the ways that matter. Instead of sifting through random internet articles or vague job ads, you use this prompt to break things down by the numbers—responsibilities, skills, and career growth—side by side, in a tidy table.

It asks you (or, if you’re using ChatGPT, your friendly AI) to act like a data-driven career counselor. No guessing, no personal bias, just a facts-first, apples-to-apples comparison.

The Prompt

"**Act as a highly experienced Career Counselor specializing in labor market analysis.** Your primary goal is to provide a comprehensive and objective comparison between two distinct professional roles.

**Compare the roles of [ROLE A] and [ROLE B] in detail, focusing on three specific dimensions:**
1.  **Core Responsibilities:** List and describe the primary duties, day-to-day tasks, and key functions typically associated with each role.
2.  **Required Skills:** Identify and elaborate on the essential skills needed for success in each role. This should include both technical competencies (e.g., specific software, programming languages, analytical methods) and crucial soft skills (e.g., communication, problem-solving, leadership). Mention any common certifications or educational backgrounds.
3.  **Typical Career Paths:** Outline common entry-level positions, potential progression within the field, and a few examples of senior or advanced roles that individuals in these professions might pursue.

**Present your analysis in a clear, well-structured table format.**
*   The table should have three columns: 'Comparison Aspect', '[ROLE A]', and '[ROLE B]'.
*   For each 'Comparison Aspect' (e.g., "Day-to-day tasks", "Critical technical skills", "Common entry points"), fill in the relevant details for both roles.

**Maintain a professional, informative, and neutral tone throughout the response.**
**Do not include personal opinions, speculative future predictions, or irrelevant anecdotal information.**
**Ensure the information is data-driven and universally applicable to these roles across typical industries.**"

Why Bother With a Detailed, Table-Based Comparison?

From my years at the IT service desk in recruiting companies, I’ve watched hiring managers and job seekers trip over similar-sounding job titles again and again. They’d use terms like “project manager” and “product manager” almost interchangeably—until they found out the hard way how different those jobs can be.

Here’s why this approach rocks:

  • Clarity: You see the similarities and differences in black and white—no more fuzzy definitions.
  • Efficiency: Instead of long-winded explanations, you get a snapshot that’s easy to share and discuss.
  • Objectivity: By focusing on core facts (not opinions), it keeps the conversation neutral and productive—super helpful for team alignment or career coaching.
  • Inclusivity: Because it’s all about the work, not the worker, you steer clear of stereotypes and unhelpful assumptions.

How Does This Prompt Actually Work?

It’s pretty straightforward. You just plug in the two roles you want to compare—let’s say, “Systems Administrator” vs. “Cloud Engineer”—and follow the prompt’s structure:

  1. Core Responsibilities: What does each job actually do every day? This section covers typical tasks and must-handle functions, so you get a feel for how the work really plays out.
  2. Required Skills: Here you lay out what it takes to thrive in each role. The prompt pushes you to think about both hard skills (like knowing AWS or Python) and soft skills (like troubleshooting under pressure). You can add notes about certifications or common degrees here, too.
  3. Typical Career Paths: This helps demystify how people get started and move up in these fields. Maybe one path starts with a support desk job, while the other usually comes from software engineering. The prompt encourages you to map out realistic steps from entry level to advanced positions.

And the kicker? Everything goes in a table—three columns: the aspect you’re comparing, and each of the two roles. No fluff, just organized info you can actually use.

Real-World Perks (From Someone Who’s Helped Untangle a Lot of Job Confusion)

In my IT support days, I can’t tell you how many tickets landed in my inbox from new hires asking, “Is this really what I signed up for?” or from recruiters needing a one-pager to explain two similar roles to a client. If they’d had a tool like this prompt, I swear, half those headaches could’ve been avoided.

  • Need to prep a hiring manager for a panel interview? Share the table for quick role context.
  • Coaching someone on a possible career pivot? Use the table to highlight transferable skills and realistic next steps.
  • Comparing two open positions at your own company? This prompt forces you to get specific, which means less back-and-forth and fewer mis-hires.

Bottom Line

A structured, table-based role comparison isn’t just a “nice-to-have” for career counselors and recruiters. It’s an essential tool for clarity, objectivity, and better decision-making—whether you’re mapping out your next hire or your own next move. Next time you’re feeling stuck between two roles, or trying to help someone else make sense of their options, give this prompt a try. Your future self (and your team) will thank you!

ChatGPT Prompts for Recruitment – Bad Prompt vs Good Prompt

Let’s talk about the wild world of prompting AI—specifically, what separates a ho-hum recruitment prompt from one that actually gets results. If you’re using AI tools to help with recruiting (or heck, even just to save yourself some time on busy work), the way you ask for help can make or break what you get back.

chatGPT Recruitment Prompts

And oh boy, I’ve seen my share of both. So let’s break down what makes a prompt good or bad—and how you can actually write prompts that make AI do something useful, not just spit back a wishy-washy summary.


Bad Prompt: “Just Rate and Highlight”

Let’s start with an example of a prompt that’s, well… let’s call it uninspired:

Given this job description and candidate resume, rate fit on a scale of 1–10 and highlight mismatches and advantages.

This is the sort of thing I see tossed into chatbots all the time. It’s short, yes. But short isn’t always sweet. Here’s why this is a “bad” prompt:

  • Vague role: Who am I supposed to be here? A recruiter? A hiring manager? A psychic octopus?
  • No context: Why am I doing this? What’s the goal? What matters most to you?
  • Not enough direction: “Highlight mismatches and advantages” could mean anything. How detailed? Should I be formal, blunt, snarky? You get the idea.
  • No output format: Should the answer be an essay, a bullet list, an interpretive dance?

Basically, if you feed AI a bland prompt, you’re gonna get back bland answers. The kind of stuff that’s technically correct, but still leaves you shrugging and opening another tab to do the real work yourself.


Good Prompt: Channel Your Inner Hiring Nerd

Now, let’s look at a version that actually sets the AI up for success (and makes your life easier):

"Role: You are an experienced Recruitment Specialist and Talent Acquisition Analyst, known for providing objective, data-driven assessments of candidate suitability. Your primary goal is to assist a hiring manager in making a well-informed initial screening decision by providing a structured, unbiased fit analysis.
Task:
1. Thoroughly analyze the provided Job Description and Candidate Resume.

2. Based on this analysis, rate the overall fit of the candidate for the role on a scale of 1 to 10 (where 1 is a very poor fit, and 10 is an exceptional, near-perfect fit).

3. Provide a detailed, structured analysis that explicitly identifies and elaborates on the following aspects:
◦ Key Strengths/Advantages: List specific skills, experiences, and qualifications from the resume that directly and strongly align with or exceed the requirements stated in the job description. Quantify achievements where possible.
◦ Key Mismatches/Gaps: Outline specific areas where the candidate's profile appears to lack or fall short of the explicit requirements in the job description. This could include missing skills, insufficient experience, or different industry exposure.
◦ Areas for Further Exploration/Interview Questions: Propose 3-5 targeted questions or topics for the hiring manager to discuss during an interview. These should aim to:

◦ Clarify any identified mismatches or gaps.
◦ Deepen understanding of the candidate's strengths and how they apply to the role.
◦ Assess soft skills, problem-solving approaches, or cultural fit if implied by the job description.

Format:
◦ Begin with a clear heading: "Candidate Fit Analysis".
◦ State the overall numerical fit score prominently at the beginning of the analysis (e.g., "Overall Fit Score: X/10").
◦ Present the "Key Strengths/Advantages," "Key Mismatches/Gaps," and "Areas for Further Exploration/Interview Questions" as distinct sections using clear subheadings and bullet points.
◦ Ensure the language is professional, objective, and analytical, avoiding overly enthusiastic or negative phrasing.
◦ The total analysis (excluding the initial rating) should be approximately 250-350 words.

Constraints:
◦ Do not make a direct hiring recommendation (e.g., "Hire this candidate" or "Do not hire this candidate").
◦ Do not infer or speculate on information not explicitly present in the provided job description or resume (e.g., personal traits, motivations, or undisclosed experience).
◦ Do not provide any external information or research beyond the provided texts.

Input:
◦ Ask for the Job description to be pasted first and after that, for the candidate's resume.
◦ Clarification: If either the job description or candidate resume is incomplete, ambiguous, or if critical information for the analysis is missing, please ask for clarification before proceeding with the analysis."

Okay, I know, it’s a lot longer. But trust me—this is where the magic happens.


Why Does the Longer Prompt Work So Much Better?

Let’s get into the good stuff. The “upgraded” prompt checks all the right boxes:

1. Assigns a Clear Role
Instead of just being a generic robot, the AI gets to “pretend” it’s a recruiter. And not just any recruiter—one who’s objective and data-driven. That shift in mindset means you get analysis that actually feels like something you’d want to hand to your boss.

2. Explains the Goal
“Help a hiring manager make a smart initial screening decision.” Now the AI knows what matters and won’t go off on weird tangents.

3. Breaks Down the Task
You’re telling it exactly what you want: rate fit, highlight strengths, call out gaps, and suggest interview questions. No guesswork.

4. Tells It How to Write
Bullet points, clear headings, specific length, professional but neutral tone—if you want something formatted a certain way, spell it out! Otherwise, you might get a wall of text or a rambling essay.

5. Sets Boundaries
No making hiring recommendations. No filling in the blanks with wild guesses. No bringing in unrelated facts. This is like putting up guardrails so the AI doesn’t careen off the road.

6. Explains How to Provide Input
You’d be surprised how many folks forget this step. “Paste the JD here.” “Paste the resume there.” It means the AI gets all the context, in the order you want.

7. Gives a Way to Ask Questions
If something’s missing or unclear, it’s okay for the AI to say, “Wait, can you clarify this part?” This saves you from having to redo the whole thing later.


Bottom Line: Get the AI to Work for You

If you want AI to actually help you in recruiting (or anywhere else), don’t just toss it a generic prompt and hope for the best. Think about what you’d tell a new team member. What do they need to know to do the job well? Spell that out, and your AI will give you something genuinely useful—not just generic fluff.

Bad prompts are like throwing spaghetti at the wall. Good prompts? They’re more like giving the AI a detailed recipe and a clean kitchen. Trust me, your future self (and your hiring manager) will thank you. You may want to have a look at these other ChatGPT Recruitment Prompts

FAQ: Writing Effective ChatGPT Prompts for Recruitment

Why do vague AI prompts give me bad results in recruiting?

If your prompt is too broad or generic—like just asking ChatGPT to “rate fit”—you’ll likely get a bland, unhelpful response. The AI won’t know what role to play, what you care about, or how to organize the answer. You’ll spend more time cleaning up its output than if you’d done it yourself.

What makes a ChatGPT prompt “good” for recruitment tasks?

A good prompt clearly defines the AI’s role (e.g., pretend you’re a recruitment specialist), explains your goal (like helping a hiring manager with screening), and breaks down exactly what you want—such as a structured fit score, strengths, gaps, and interview questions. It also spells out how you want the answer formatted, and sets boundaries so the AI doesn’t wander off-topic.

How can I make sure ChatGPT gives me the right analysis for a candidate?

Give specific instructions! Tell the AI what to analyze, how to structure its output, and what info to ask for if something’s missing. For example, ask it to request both the job description and the resume before starting, and clarify anything unclear. This way, you get a more targeted, useful analysis—without any of the usual guesswork.

Coaching Candidates with ChatGPT: STAR Interview the Smart Way

If you’re an agency recruiter, you already know prepping candidates for interviews can feel like spinning plates—especially when it comes to behavioral interviews. Sure, the STAR method (Situation, Task, Action, Result) is a game changer, but hand-holding every candidate through their stories? You’d need 36 hours in a day.

That’s where ChatGPT comes in. It’s like having your own virtual assistant coach—ready to drill your candidates on STAR answers any time, day or night.

Coaching Candidates with ChatGPT
Drop and give me four—Situation, Task, Action, Result!

Why Use ChatGPT for STAR Interview Coaching?

Let’s be honest: even awesome candidates sometimes ramble, lose track, or forget the “so what?” of their stories. You want them to hit all four STAR points, but you can’t sit through every mock interview. When you set them up with a focused ChatGPT prompt, you’re giving them:

  • Structure for practicing behavioral questions (no more rambling!)
  • A pressure-free space to refine answers before the big day
  • Instant feedback—so they can adjust and improve before it’s go time

And you? You save time and can still add your personal, expert feedback on the best answers.


The STAR Interview Method, Quick and Clear

Let’s recap, in case you (or your candidate) need a refresher:

  • Situation: What was happening? Set the scene.
  • Task: What was your responsibility or challenge?
  • Action: What did you actually do about it?
  • Result: What happened? What changed, improved, or got fixed?

Nail all four, and you’ve got a tight, memorable story that shows off real impact.


The ChatGPT Prompt That Gets Results

Ready to let your candidate practice? Here’s the magic prompt you can share (feel free to copy-paste):


Prompt:

“I’m preparing for a job interview for a [Job Title] position in [Industry/Company Type]. I want to practice behavioral interview questions using the STAR method (Situation, Task, Action, Result). Please act as the interviewer and ask me one behavioral question at a time. After I respond, evaluate my answer based on how well it follows the STAR structure, and suggest improvements.”

Bonus Tip:
If you know what the client is laser-focused on (like teamwork, problem-solving, or technical chops), help your candidate tweak the prompt:
“…Focus on questions related to [e.g., cross-functional collaboration, problem-solving, or managing client expectations].”


How to Introduce It to Candidates

Not everyone’s used ChatGPT before, so keep your instructions simple:

  • Explain it’s a free tool they can use online or on their phone.
  • Make it clear: this isn’t replacing your advice, just giving them more practice.
  • Offer a 10-minute demo, or email quick steps for setup.

Want to share this in one click?
Download the PDF guide to STAR interview coaching with ChatGPT.


Sample message for your next candidate:

“Hey [Name], to help you prep for your interview with [Client], I recommend using ChatGPT to practice STAR interview questions. It’ll act like a mock interviewer and give you feedback—super useful for structuring your answers. Let me know if you want help getting started! I’ve seen this boost candidate confidence and results.”


What Recruiters Should Know

  • ChatGPT’s feedback is solid for structure and clarity, but remind candidates: add their own personality, real details, and industry flavor!
  • Ask candidates to share their best STAR answers post-session—then you can review, fine-tune, and give that final polish.
  • A well-prepared candidate reflects well on you—and can be the difference between shortlist and offer.

Final Thoughts

ChatGPT isn’t replacing you—it’s scaling your expertise so every candidate walks in sharp, clear, and confident. In today’s competitive market, giving your people this edge can turn “maybe” into “you’re hired.”


Want the full STAR interview coaching guide?
Download the PDF file here and share it with your candidates!


If you found this helpful, check out our other posts about the use of AI in Recruitment for more ways to boost your hiring game.

AI Job Descriptions: Why They Matter & How to Make AI Write Them Right

A great job description does way more than fill space on a job board. It’s your company’s handshake, your headline, your shot at making the right first impression. But let’s be honest—writing job descriptions can get repetitive (and half the time, they just collect dust). Now that the hiring world is more competitive and digital than ever, it’s no wonder that more recruiters are handing this task off to AI—and getting results.

Writing a Great Job Description
Traveling from outdated to outstanding with AI assistance.

So, what’s the real story behind AI-generated job descriptions? And how can you make sure yours don’t just sound “meh,” but actually attract top talent?


What Is an AI Job Description?

Simply put, an AI job description is crafted (or improved) with the help of artificial intelligence. Think ChatGPT, specialized AI tools, or custom job description generators. These systems use vast amounts of hiring data to make your job post clearer, fairer, and easier for candidates (and Google) to find.
No more jargon-packed, wordy, or biased descriptions—just clean, inclusive, and SEO-optimized language that works.


Why Your Job Description Really Matters

A smart job description can:

  • Bring in stronger applicants (thanks to clearer language and the right keywords)
  • Build trust by being upfront about pay, perks, and what the job’s really about
  • Support diversity and inclusion with bias-free language
  • Set the stage so you and your candidate are on the same page—no surprises later

If your job posts are optimized and readable, expect higher apply rates, better matches, and fewer time-wasters in your pipeline.


Common Pitfalls in Old-School Job Descriptions

Let’s face it, most traditional job posts fall flat because of:

  • Vague or insider-only titles
  • Laundry lists of random tasks
  • Zero mention of team culture or career growth
  • Missing pay, benefits, or even what makes the job interesting

AI can help you avoid all that—refining your words, streamlining structure, and making your posts pop.


How AI Tools Take Job Descriptions to the Next Level

  • Transform the boring into the engaging: Make sure candidates know what impact they’ll have, not just what tasks they’ll do
  • Highlight what matters: Show off your team’s style and what makes your company different
  • Ditch the bias: Find language that welcomes everyone
  • Boost your SEO: Use keywords that actually help candidates find your post
  • Stay consistent: Whether you’re writing one job post or fifty, AI keeps your message clear

Update: Read this blog post that includes a prompt for Job Description optimization AI Job Descriptions: Why AI Can Write Them Right


Checklist: What Every AI Job Description Should Include

  • Clear, keyword-smart title
  • Impact-oriented summary
  • 5–7 outcome-driven responsibilities (not a long list of chores)
  • Must-haves vs. nice-to-haves, spelled out
  • Team culture, reporting lines, and work style
  • Growth and development perks
  • Transparent salary and benefits
  • Simple, direct application steps
  • Inclusive language, no “corporate speak”

The Go-To AI Prompt for Job Descriptions

Ready to get practical? Use this prompt in ChatGPT or Monica.im (a AI swiss knife) to whip up a world-class job description (just copy and tweak as needed):


Prompt:

**You are an elite HR Copywriter and an astute SEO Strategist**, renowned for crafting compelling and highly-optimized job descriptions that attract top-tier talent. Your expertise lies in translating business needs into candidate-centric narratives that also rank well in search.

**Your core mission is to develop two distinct versions** of a comprehensive and optimized job description for the role of **[JOB TITLE]** within the **[INDUSTRY]** sector, specifically targeting candidates in **[LOCATION]** [2, 3]. One version will be a **'Broad Reach'** job description, designed to maximize applicant volume, and the other a **'Highly Targeted'** job description, engineered for precision and relevance.

**To achieve this, follow these detailed steps:**

1.  **Preparation and Analysis (Simulated Competitive Intelligence & Keyword Research)**:
    Before generating the job descriptions, conduct a simulated analysis based on your extensive internal knowledge of top 3-5 current competing job postings for similar roles (e.g., from leading companies in the [INDUSTRY] in [LOCATION]) [4-6].

    *   **Step 1.1: Extract the following critical insights from these simulated competing ads:**
        *   **Dominant Tone(s):** Identify 2-3 prevalent tones (e.g., innovative, collaborative, formal, fast-paced, friendly, empathetic).
        *   **Core Keywords & Alternative Titles:** List 7-10 high-frequency keywords, alternative job titles, and essential technical skills, tools, or methodologies that frequently appear alongside **[JOB TITLE]** or **[SKILL]**. Prioritize terms that indicate core qualifications and responsibilities.
        *   **Structural Elements:** Note common section headers (e.g., "About Us", "The Role", "Responsibilities", "Qualifications", "What We Offer", "Why Join Us"), prevalent use of bullet points, and overall content flow.
        *   **Common Clichés/Jargon to Avoid:** Identify 3-5 overused or generic phrases (e.g., "fast-paced environment," "synergy," "ninja," "guru") that detract from a modern, friendly, and authentic feel.
        *   **Seniority Exclusions:** Based on the implied or explicitly stated seniority of **[JOB TITLE]** (e.g., if "Senior" is omitted, assume a mid-level role; if "Junior" is present, focus on entry-level), list 3-5 keywords that would indicate an *incorrect* seniority level to exclude (e.g., "Senior", "Lead", "Head of", "Director" for a mid-level role; conversely, "Junior", "Intern", "Entry-Level" for a senior role).

    *   **Present this analysis as a concise, bulleted 'Pre-computation Summary'** before proceeding to job description generation. This provides a "thinking journal" demonstrating your analytical process.

2.  **Job Description Construction (Dual-Strategy Application)**:
    Following the 'Pre-computation Summary', draft two complete job descriptions.

    *   **Step 2.1: Common Guidelines for Both Versions:**
        *   **Tone Alignment:** Strictly adhere to the 'Dominant Tone(s)' identified in your analysis.
        *   **Modern Language:** Use clear, engaging, and direct language, actively avoiding all 'Common Clichés/Jargon to Avoid'.
        *   **Structure:** Employ modern and scannable section headers and bullet points for optimal readability and direct copy-pasting.
        *   **Call to Action:** Conclude each job description with a clear, inspiring, and actionable Call to Action that encourages qualified candidates to apply and highlights the next steps (e.g., "Apply now to join our innovative team and shape the future of X!").
        *   **Length:** Aim for approximately 500-800 words for each job description, providing sufficient detail without overwhelming the candidate.

    *   **Step 2.2: 'Broad Reach' Job Description Specifics:**
        *   **Keyword Strategy:** Integrate a *wider array* of the 'Core Keywords & Alternative Titles' to capture a larger, more diverse pool of candidates who might have varied but relevant backgrounds. Focus on broader industry terms and more general skill sets.
        *   **Role Description:** Emphasize transferable skills and provide a slightly more general overview of responsibilities and qualifications to appeal to a broader candidate base.
        *   **Seniority:** Tailor to the appropriate general level of **[JOB TITLE]**, *excluding* only the most direct 'Seniority Exclusions' that would clearly disqualify a candidate (e.g., a "Director" for a "Mid-level Engineer" role).

    *   **Step 2.3: 'Highly Targeted' Job Description Specifics:**
        *   **Keyword Strategy:** Focus on the *most specific and essential* 'Core Keywords & Alternative Titles', particularly niche skills, highly technical tools, and specific methodologies from your analysis. Prioritize terms directly indicative of deep, specialized experience in **[SKILL]** to attract highly qualified, precise matches.
        *   **Role Description:** Detail highly specific responsibilities, required experiences, and demonstrable accomplishments relevant to the precise needs of the role. The language should be precise and less general, emphasizing expert-level contributions.
        *   **Seniority:** Strictly adhere to the precise seniority level implied by **[JOB TITLE]**, rigorously *excluding all* 'Seniority Exclusions' that do not align with the exact target level (e.g., excluding "Junior," "Intern," "Entry-Level" for a "Senior Engineer" role).

3.  **Output and Rationale:**
    *   **Format the entire final output in Markdown**, ensuring proper headings (`#`, `##`, `###`), bolding, and nested bullet points for optimal readability and direct copy-pasting [9].
    *   For **each** generated job description, include a **brief rationale (2-3 sentences)** explaining the strategic choices made in its construction (e.g., how the tone and specific keyword selection align with the Broad vs. Targeted approach, and how structural choices enhance SEO and candidate attraction). This rationale should focus on practical utility for a recruiter.

Results: Why Companies Are All In on AI Job Descriptions

Teams using AI to write job posts are seeing:

  • More qualified and diverse candidates (less copy-paste, more original responses)
  • Higher engagement and fewer “apply and ghost” cases
  • Shorter time-to-hire and better job fit

Conclusion: Make the Shift

AI isn’t just about speed—it’s about quality and inclusion. Next time you need a new job description, don’t start from scratch. Let AI do the heavy lifting so you can focus on connecting with real people, faster.


And if you’re looking for more ways AI can boost your recruiting process, explore our other resources on AI in Recruitment and ChatGPT Prompts for Recruitment – Bad Prompt vs Good Prompt

Scroll to Top
MakeTheHire.com
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.