
New Episode · Live from Nashville
Hire the Outcome, Not the Resume
Desiree Goldey & Ashley King — Recorded live at RecFest USA, Nashville
About This Episode
If AI can write the resume, tailor the application, and coach the interview, what exactly are we hiring anymore? Recorded live in Nashville at RecFest USA, Desiree and Ashley go after the question every recruiter is dodging. The answer isn't more candidates or better keyword matching. It's knowing what a person will actually produce once they're in the seat. Also covered: a drunk passenger, a projectile situation, and why Desiree will always be the first clap.
Ashley walks through the model she built as head of performance for a recruiting team. It has four quadrants: productivity, outcomes, impact, and the one most talent leaders skip — monetization. She introduces time to find, the metric almost nobody tracks. It measures how many days a req was open before the person you eventually hired applied, and it tells you more about your employer brand than time to fill ever will.
Desiree pushes back hard on the premise. If hiring managers can't define the outcome, what are we even measuring? And if the data exists, why do most teams stare at the dashboard and do nothing? That leads into quantitative versus qualitative data, the rise of “talent engineers,” the seven-page AI resume, and whether the resume should have died five years ago.
Then it gets practical, and a little spicy. The hosts split on assessments. Ashley says outcomes-based hiring only works if the assessment is valid, reliable, and tied to performance, promotion, and development. Desiree hates most assessments as a candidate and doubts CEOs will fund the build. They land on the business case: monetize recruiter performance, bring it to the CFO, and use the seat itself as the taste test. Ashley closes with Talent Outside the Box — a dartboard explanation of validity versus reliability that every recruiter working with an I-O psychologist needs.
In this episode:
- Why AI at the top of the funnel makes “qualified” meaningless
- The shift from who-you-know hiring, to skills-based hiring, to outcomes-based hiring
- The hiring manager problem: you can't measure an outcome nobody defined
- Talent infrastructure, and why replacement headcount with no metrics is a warning sign for everyone already in the seat
- Ashley's four quadrants of recruiter performance: productivity, outcomes, impact, monetization
- Time to find versus time to fill, and what a four-day time to find says about your brand
- Decision latency: when one founder holds up the whole machine
- Quantitative data tells you what, qualitative tells you why
- Talent engineers, “nerds and nerdier nerds,” and the two skill sets recruiting splits into
- Seven-page AI resumes, the em dash panic, and whether the resume should just die
- Does 10 years of experience still matter in an outcomes-based model?
- The hosts disagree: assessments, AI interviews, and whether any CEO will pay for this
- Talent Outside the Box: validity versus reliability, explained with a dartboard
Resources & Links:
- RoundOne AI — voice screening that keeps humans in the decision
- TalentED — Ashley's recruiter university
- Watch Talentless on The HR Channel (Roku and Fire TV)
- Desiree's book, Leadership is a Practice, Not a Personality, out October 27, 2026
- The T-Hive newsletter: talentlesshive.beehiiv.com
- Subscribe on YouTube (please, we're begging)
- www.talentlesspodcast.com
Episode Transcript
Full conversation — searchable and screen-reader friendly
Desiree: Oh my gosh, Ash, we are here in Nashville.
Ashley: Yeah, we're back! 2026!
Desiree: We thought we'd bring it to you live. Today's show, by the way, is sponsored by RoundOne — an AI screener that keeps humans in the decision-making process, which we all want. Go check them out at roundone.ai.
Desiree: So we thought we'd bring you something today that is right on par for us. As we go into RecFest and see all these recruiters, the spirit of RecFest this year is to not just be talking about AI, and to bring the human back into talent. This is about hiring outcomes: basing hiring on the outcome a candidate could bring, instead of focusing so much on the skills they brought before.
Ashley: So this topic came up mainly because so many people are talking about AI right now. Right now we have a few options. Lean out of AI. Lean in — where everything becomes that robot circle: your AI talking to my AI to evaluate your AI. Or staying steady. But what does this actually look like if we lean all the way out? How would you hire if the way we compared candidates was a thorough and thoughtful process, the way we'd want it done for the job they're looking for? That's what today is about.
