The JD Fix: Quick Fixes. Smarter Job Descriptions. Better Hiring.

Recruiting has come a long way from faxed resumes and Rolodexes. (Yes, those were real recruiting tools. And yes, some of us remember them.)

Today, we’ve got AI helping us write job descriptions, source candidates, screen applications, and automate just about everything in between.

But are we actually making recruiting better? Or are we just making everything move faster?

For this episode of TA Talk (part of The JD Fix), I caught up with Julia Levy, a talent acquisition leader with 20+ years of experience across recruiting, TA operations, recruitment marketing, and global talent leadership.

Julia has led TA teams at companies like CommScope and AutoZone. These days, she’s consulting, advising HR tech companies, writing books, and even building her own AI-powered tools.

We talked about what she heard at RecFest, where AI is helping (and where it still has some growing up to do), why recruiters are drowning in applications, and what she’d change about hiring if she had a magic wand.

And yes, we talked about job descriptions. You knew that was coming.

Recruiting in 2012 looked a whole lot different than it does today.

Back then, you might have had a clunky applicant tracking system, a CareerBuilder subscription, and a whole lot of patience.

Today? We’ve got AI tools for just about everything, candidates applying to hundreds of jobs, and recruiters trying to figure out which applications are even real.

Progress, right?

I recently sat down with Luke Hardwick, who’s been recruiting since 2012, for an episode of TA Talk: The JD Fix.

We covered a lot of ground, from AI and candidate experience to job descriptions and the never-ending struggle to get hiring managers to actually make time for hiring.

And yes, we had a few good laughs along the way. Because if you’ve spent any time in recruiting, sometimes you really do have to laugh.

TA Talk is part of The JD Fix, where I talk with people working in talent acquisition about what’s changing, what’s frustrating them, and what they’re learning along the way.

In this episode, Michael Yinger and I get into AI adoption, recruiter workloads, exploding applicant volume, job descriptions, TA data, broken processes, and what recruiting might look like three years from now.

In this short episode of The JD Fix, host Heather Fenty breaks down what Quebec’s Bill 96 means for HR software companies and talent leaders operating in Canada.

🔍 What We Cover:

The basics of Bill 96 and its update to Quebec’s Charter of the French Language

What “software compliance” really means — and why it includes both candidate-facing and admin-side interfaces

How HR tech vendors (including Ongig) are adapting by adding a French user interface (UI)

Why localization is not just about compliance — it’s about inclusion and user experience

What global HR and product teams can learn from Quebec’s approach to language accessibility

💡 Key Takeaways:

If your HR tools are used in Quebec, they must be fully available in French — no exceptions.

Compliance is just one piece of a bigger picture: building inclusive, multilingual experiences for global teams.

Ongig’s new French UI is designed to make switching languages as simple as turning on dark mode.

Expect to see more multilingual UIs across HR tech as companies expand globally.

🛠️ Resources Mentioned:

Bill 96 — Charter of the French Language Update (2022)

Ongig’s Blog on HR Tech & Compliance

In this episode of The JD Fix, I chat with Kat Kibben — founder of Three Ears Media, LinkedIn Top Voice, and author of The Bounce Back Factor — about what it really means to lead when you’re burned out and tired of pretending everything’s fine.

We talk about:

Why burnout feels different right now

How fear and uncertainty shape leadership

The link between self-compassion and better teams

And the one small thing you can do today to bounce back

If you’re ready to lead with more honesty, rest, and resilience — this one’s for you.

📘 The Bounce Back Factor → https://amzn.to/4hrbitl🌐 threeearsmedia.com

What happens when a small TA team of fewer than 10 people is tasked with fixing over 4,000 job descriptions—all while keeping recruiting operations running?

In this episode of The JD Fix, Heather Fenty shares a behind-the-scenes story from a healthcare organization that turned an overwhelming JD cleanup into a scalable, streamlined process.

You’ll hear:

The common pitfalls of large JD libraries (bias, missing sections, formatting chaos)

How one team leveraged just two templates and AI-assisted optimization to save hundreds of hours

The measurable results: JD scores skyrocketing, bias scores improving, and recruiters saving serious time

Why you don’t need a big team to make a big impact

If you’ve ever stared at a mountain of messy job descriptions, this episode will show you there’s a better way.

👉 Learn more at ongig.com/request-demo.

Managing job ads at scale can feel overwhelming—especially when you’re juggling dozens, hundreds, or even thousands across a team. In this episode, I share how you can pair Mitch’s.ai, one of the best AI job ad tools I’ve tested, with Ongig’s platform to take your hiring content to the next level.

You’ll learn:

Why I test new job ad tools (and why Mitch’s.ai stands out).

How recruiters can use AI to write better job postings, faster.

Where Ongig fits in—helping you analyze, templatize, store, and scale all your job content in one place.

Why combining AI speed with Ongig’s structured workflows is the best long-term strategy.

If you want to see how Ongig can help you write, store, and scale better job postings, head over to ongig.com to request a demo.

In this episode of The JD Fix, Heather Fenty sits down with Ongig writer Laurenzo to talk about how AI is reshaping the way we write job descriptions—and where the human touch still matters most.

We cover:

How AI streamlines research and editing for JD writing

Why AI sometimes pushes content toward bland, generic language

The importance of plain, conversational wording in job postings

How companies can use prompts and templates to guide tone

Why culture is the one thing AI can’t capture without human input

The balance between efficiency and authenticity in writing

He shares practical insights from his work writing about job postings, along with candid thoughts on where AI helps—and where people need to step in.

The JD Fix — Episode: Notion for JDs: The Tool You Love Isn’t Built for This

Episode Summary:In this episode, we dig into why so many hiring teams start managing job descriptions in Notion—and why that setup starts breaking as things scale. From version control nightmares to missing legal or DEI approvals, you’ll hear why that “simple Notion template” can turn into a job description minefield. We also cover better alternatives and when it’s time to graduate from Notion to something built just for JDs.

What You’ll Learn:

Why Notion feels like the perfect tool for JDs (at first)

The common failure points of using Notion to manage job descriptions

Where other DIY tools like Airtable and Coda also fall short

What to look for in a real JD management system

How Ongig helps solve these problems without the chaos

Mentioned in this episode:👉 Ongig Job Description Software

In this episode of The JD Fix, Heather Barbour Fenty breaks down why permissions are the backbone of a great job description management system—and how to set them up so your team works faster, not slower.

What You’ll Learn in This Episode

The 5 roles that actually work for TA teams (Viewer, Editor, Editor Plus, Auditor, Admin)

How to tailor visibility with job status filters (think: “Needs Edits” vs “Approved”)

Why most JD systems get permissions wrong—and how to fix it

The golden rule: start with the least access, then scale as roles evolve

Links & Resources

👉 Request a demo of Ongig’s Text Analyzer to see how permissions and roles work in action: https://www.ongig.com/request-demo