Ep 716: Using AI To Transform Quality of Hire

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology. This episode is about Talent and Technology. Timely and effective measurement of the quality of hire has long been a significant frustration for talent acquisition, with meaningful data often trapped in subjective performance reviews that arrive too late to be of any help. But what if AI could help connect interview assessments, onboarding metrics, and performance data in ways that reveal which hires are going to succeed, creating real-time feedback loops that continually improve hiring decisions?   So, how exactly can employers build these types of connected systems? My guest this week is Mark Linnville, Head of Talent at Garner Health. In our conversation, he reveals how to identify accurate leading indicators for quality of hire, why authentic interview experiences help predict performance, and how AI helps connect the dots we've been missing. In the interview, we discuss: Talent market challenges Removing the silos in the talent function Providing a true-to-self candidate experience How do you judge quality of hire from a TA perspective? Leading indicators versus lagging data Creating continuous feedback loops Using AI to connect interviews to performance The importance of the human element of talent acquisition What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology. This episode is about Talent. While we're seeing a growing awareness of ageism, the reality is that it is regularly ignored as an inclusion factor. The impact of this is staggering. AARP estimates that ageism costs the US economy $850 billion in lost GDP annually, and research shows that intergenerational teams consistently outperform age-segregated ones in terms of productivity and innovation. Yet, unlike other forms of discrimination, age bias is openly accepted in hiring via things like age-coded job descriptions and ATS systems that filter by graduation dates. So what will it take for organizations to recognize that age discrimination isn't just morally wrong - it's actively destroying their competitive advantage? My guest this week is Maureen Clough, host of the 'It Gets Late Early' podcast and advocate against ageism on a mission to expose this universal form of discrimination. In our conversation, she reveals practical strategies for both employers and job seekers to combat age bias while building truly inclusive workplaces that work for everyone. In the interview, we discuss: Is ageism getting worse? The $850 billion impact on GDP How ageism is baked into some recruiting processes Why proving age discrimination in the US is so difficult. What should TA do to combat ageism? The power of intergenerational teams and mentorship AI's impact on entry-level jobs and Gen Z's involuntary disconnection from the workplace Strategies for older job seekers What should the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Influence and Technology. Talent Acquisition leaders are navigating a uniquely challenging period, juggling rapid advancements in AI with ongoing operational demands. The opportunity to automate routine tasks is clear, but the real challenge is determining where AI ends and human intervention begins.  With AI technologies rapidly reshaping the recruitment landscape, how can employers ensure they deploy AI strategically rather than superficially?  My guest this week is Chris Riche-Webber, VP Business Intelligence and Analytics at SmartRecruiters. Chris shares valuable insights into defining clear outcomes for AI deployment, experimenting effectively, and building genuine trust with technology vendors. In the interview, we discuss:  Current TA market realities Implementing AI to its full potential Defining the split between automation, augmentation, and obsolescence Why trust is critical for AI success Radical shifts in recruiter roles Hiring Manager self-service and why human backstops aren't the solution What will TA teams do when AI gives them increased capacity? How to build a business case What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Foresight and Talent Some of the most significant innovations in talent management and talent acquisition originated in the tech sector. From Edison's revolutionary use of teamwork to Netflix's principle of Talent Density, cutting-edge thinking about technology has often also involved cutting-edge thinking about talent. What might the history of technology teach us about the future impact of AI on talent practices? My guest this week is Jamie Dobson, CEO of Container Solutions and author of the forthcoming book, “Visionaries, Rebels and Machines,” on the history of technology. In our conversation, Jamie identifies some of the talent innovations the tech sector has given us, shares how he applied some of this thinking to his own business, and we discuss what the future might look like In the interview, we discuss: How can historical context help us understand the future? Examples of talent innovations that have come out of the tech sector Teamwork and talent density The problem with copying the artifacts but not the thought processes behind them Lessons from elite sports How technology changes, but human nature doesn't What does the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Talent and Foresight. We're no longer dealing with a world that's simply volatile, uncertain, complex, and ambiguous - we've arguably entered something far more challenging: a reality that's brittle, anxious, nonlinear, and incomprehensible. This shift is turning traditional workforce planning completely on its head. Three-year strategic plans become meaningless when entire job categories disappear in months, when AI capabilities jump overnight, and when market conditions change faster than planning cycles can adapt. So how can employers develop effective talent strategies in highly uncertain times, and how might talent acquisition step up to take a strategic role? My guest this week is Toby Culshaw, VP of Strategy for Talent Intelligence at Lightcast. In our conversation, Toby explains how real-time talent intelligence is needed to build talent strategies that can respond to rapid change and why TA teams are uniquely positioned as invaluable sources of business intelligence. In the interview, we discuss: Moving from a VUCA world to a  BANI world Dramatic change with significant compound effects The implications for long-term planning Why it is now easier to better align TA with workforce planning Signals and real-time talent intelligence The shortening half-life of job skills The anxious workforce Surfacing insights from TA War gaming and scenario planning The importance of data What might the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Hi there, welcome to episode 711 of Recruiting Future with me, Matt Alder. Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Talent and Technology. The recruitment technology landscape is experiencing a perfect storm. Perfect match candidates aren't completing applications due to frustrating processes. At the same time, recruiters are being overwhelmed by candidates using AI tools to generate thousands of low-quality submissions. Traditional matching algorithms provide limited transparency into the decision-making process, thereby creating legal and compliance risks. Meanwhile, cost-per-application models continue to charge for clicks rather than actual conversions, leaving employers paying for candidates who never complete the process. How can TA teams navigate this impossible environment while improving outcomes for everyone involved? My guests this week are Simon Van Hijfte, Marketing Manager at Adecco Belgium, and Ritu Mohanka, CEO at VONQ. Simon shares how Adecco is transforming their recruitment process with AI agents and the impressive results they're achieving - from improved candidate satisfaction to enhanced recruiter efficiency. We also all discuss the shift from opaque matching systems to transparent point-based scoring, how AI agents are solving the broken candidate experience, and why this people-first approach is delivering better business outcomes across the board. Why is the candidate experience broken? The impact of candidates using AI Implementing a people-first approach supported by AI Recruter Enablement vi AI Agents What do the candidates think? Moving from matching to scoring and explainable decision making Spotting transferable skills Vonq's innovative CPA+ model What results has Adecco been getting? What does the future of recruiting look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about talent. Economic uncertainty and disruption has reached a whole new level in 2025, with companies freezing hiring plans and candidates hesitating to make career moves. But if talent attraction strategies fail during market volatility, how can organizations that need scarce and specialized talent survive and thrive?  So, when candidate markets are tight, how can TA teams turn uncertainty into opportunity? My guest this week is Dave Napeloni, Senior Vice President of Global Life Sciences at Korn Ferry. Dave's team is helping life sciences companies navigate talent scarcity by transforming how they engage with candidates during economic disruption. Dave has valuable insights to share, on effective talent engagement and pipeline building, that are changing how organizations compete for talent in these uncertain times. In the interview, we discuss The talent market challenges in Life Sciences Dealing with long-term uncertainty  The impact on candidate behavior How successful companies are using volatility as a competitive advantage  The critical importance of EVPs and employer branding Building candidate engagement through purpose-driven messaging Extending the role of TA beyond onboarding and into talent management How AI can radically improve the candidate experience What the future might look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast designed to help Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about technology and foresight. AI terminology is getting confusing, which is compounded by vast amounts of marketing focusing on future promises rather than the current reality. Beyond the jargon and hype, how can AI agents be used to tackle today's recruiting problems? My guest this week is Shiran Yaroslavsky, SVP Product at SmartRecruiters. Shiran shares the importance of using customer research to build AI solutions for genuine recruiting challenges and to create the right vision for the future . In the interview, we discuss: Building products in disruptive times The difference between AI co-pilots and AI agents Using AI to Solve real TA productivity problems with AI Why customer research is critical for meaningful AI innovation The importance of building agents that collaborate across platforms How TA leaders should be evaluating AI vendors The importance of visionary innovation What is the ultimate future vision for TA? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify. A full transcript will appear here shortly.

Recruiting Future is a podcast designed to help Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology. This episode is about technology. Most HR tech projects end in disappointment because organizations focus all their energy on implementation rather than adoption. If successful transformation is dependent on what happens after the go-live date, how can employers build sustainable tech adoption that delivers lasting business value? My guest this week is Melissa Hojwall, Global HR Tech Leader at H&M. H&M has over 100,000 employees, the majority of whom are frontline workers, making internal tech adoption both challenging and high impact. In conversation, Melissa talks about the strategies around implementation, adoption, and continuous change management that help make TA and HR Tech projects successful. In the interview, we discuss: HR Digitisation at H&M How AI can solve TA & HR challenges Predictive analytics The skills needed to get the right balance between humans and AI Tech adoption and change agility Investing in what happens after the go-live date Using resistance as a superpower Finding and showcasing the benefits to the bottom line Disrupting how we interface with technology What does the future of HR Tech look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast designed to help Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about talent and technology. Many employers are facing an increasing problem with candidates' use of AI. Along with dramatically increasing application numbers, AI tools are, in some cases, allowing potentially unsuitable candidates to jump to the front of the queue, endangering the integrity of the recruiting process. One potential answer to this challenge is to deploy science-based psychometric testing much earlier in the process than has traditionally been the case. So, how should assessment tools and technologies evolve to combine scientific robustness, candidate engagement, and resilience against AI manipulation My guest this week is Alan Bourne, Partner at Omatti and an expert in assessment innovation. Alan highlights the issues with legacy assessment tools and sets out a blueprint for transformation that embraces AI to enhance both the candidate experience and the predictive accuracy of the tools. We also discuss the role of assessment in the move to skills organisations. In the interview, we discuss: The real impact of candidates using AI Why resumes & interviews are the least effective and least fair way of assessment Defensive proctoring versus proactive innovation Using AI to develop immersive, simulation-based assessments Getting the right balance between science and engagement The progress of skills-based hiring The danger of just replacing experience-based CVs with experience-based skills What will the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.