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Don’t Tell Me About Yourself

Don’t Tell Me About Yourself

By: WRKdefined Podcast Network
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Summary

 “Don’t Tell Me About Yourself” is where old-school hiring meets a modern reality check. Hosted by Expert Interviewers Co-Founders Lorna Erickson and Victoria Gates, this show blends their combined 40 years of real-world experience with the unfiltered commentary that made 340K+ people laugh, cringe, and rethink how interviews actually work. Each week, they tackle the biggest news in hiring, from chaotic interview moments to ghost jobs and questions that should have been retired decades ago. Whether you hire, apply, or just love a good interview trainwreck, this show is for anyone who’s ever sat on either side of the interview table. Real stories. Real data. Real talk about how to make interviews actually work for everyone. Because great hiring isn’t luck—it's a skill.All rights reserved by WRKdefined Career Success Economics Management Management & Leadership
Episodes
  • It’s Not Adoption, It’s Reinvention with Zachary Parris

    It’s Not Adoption, It’s Reinvention with Zachary Parris
    Apr 29 2026
    In this live episode, you’ll learn why AI isn’t just another tool for HR, it’s forcing a complete shift in how teams think and operate. Zach Parris shares why HR needs to move from program-based work to product-based thinking, how non-technical teams can build with AI, and why usage is now the most important metric. This is a practical look at how AI is changing HR from the inside out and what leaders need to do to keep up. Key Takeaways: AI requires a shift from programs to products HR teams need to think like product builders Usage is the strongest signal of value Non-technical teams can now build with AI “Vibe coding” makes building more accessible AI is an equalizer across organizations Leaders must use AI themselves to understand it Creativity and experimentation are now critical AI is changing how HR delivers impact First-principles thinking is essential right now Keywords: AI in HR, HR product mindset, AI in talent management, vibe coding HR, HR innovation strategy, AI adoption HR teams, HR technology transformation, talent leadership AI, HR metrics usage, future of HR Follow Zach at https://www.linkedin.com/in/zacharyparris/ Sponsored by @shakerrecruitmentmarketing
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    10 mins
  • AI Won't Fix a Broken Process with Stef Nikitas

    AI Won't Fix a Broken Process with Stef Nikitas
    Apr 29 2026
    In this live episode, you’ll learn how to use AI in recruiting without making your process worse. Stef Nikitas shares how her team improved hiring speed, reduced interview no-shows, and kept human decision-making at the center while using AI tools. This is a practical look at what actually works, what to avoid, and how to think about AI in hiring the right way. Key Takeaways: Fix your hiring process before adding AI AI can reduce interview no-shows through better scheduling Candidates should control interview timing, not just managers AI should support decisions, not make them Legal and data privacy matter more than ever with AI Candidate experience directly impacts your brand and revenue Keywords: AI in recruiting, high volume hiring, reduce interview no shows, candidate experience, hiring process improvement, recruitment automation, talent acquisition strategy, hiring metrics time to fill, AI compliance hiring, candidate scheduling tools Follow Stef at https://www.linkedin.com/in/snikitas/ Sponsored by @shakerrecruitmentmarketing
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    12 mins
  • How Many Interviews is Too Many?

    How Many Interviews is Too Many?
    Apr 22 2026
    In our last episode of Season 1, we break down one of the most common assumptions in hiring: that more interviews lead to better decisions. We explore how interview processes slowly expand over time, often without intention, and why that actually creates confusion, delays, and weaker hiring outcomes. We dig into what’s really driving long interview processes, from lack of clarity and alignment to low confidence in decision-making, and how adding more people and opinions often creates noise instead of better data. Through real examples and research, we highlight where interview processes start to lose value and how they impact both hiring teams and candidates. Finally, we share what to do instead, including how to structure a more effective interview process, define clear roles, and focus on better evaluation rather than more evaluation, as we wrap up the season and look ahead to what’s next. While this episode marks the end of Season 1 we will be releasing live episodes over the next few weeks, and Season 2 will return this fall. Key Takeaways More interviews do not equal better hiring decisions Lack of clarity and alignment causes interview processes to grow After four interviews, returns diminish significantly Too many interviewers create noise, not better data Long processes often signal low confidence in decision-making Candidates lose interest during slow, drawn-out hiring cycles Repeating the same questions adds no value Strong processes rely on clear roles and defined criteria Decision ownership prevents endless interview rounds Better interviews matter more than more interviews Timestamps 00:00 Why interview processes keep growing 00:40 When interviewing stops helping decisions 01:13 Real example of excessive interviews 03:19 The real problem is decision-making 05:08 Why more data creates more noise 07:49 Diminishing returns after four interviews 10:27 Hidden costs of over-interviewing 12:15 Candidate experience and drop-off 15:28 Signs your interview process is broken 23:51 Why better interviews matter more Keywords how many interviews is too many, interview process best practices, hiring process improvement, why hiring takes so long, reduce interview stages, candidate experience, structured interviews, recruiting efficiency, decision making hiring, interview process optimization Follow Us @expertinterviewers TikTok: https://www.tiktok.com/@expertinterviewers Instagram: https://www.instagram.com/expertinterviewers/ LinkedIn: https://www.linkedin.com/in/lornaerickson/
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    28 mins
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