The People Science Approach: What a Talent Acquisition Advisory Engagement Actually Looks Like
Talent Acquisition Advisory

“Advisory” means different things depending on who you’re talking to. For some firms, it means a report. A set of recommendations delivered in a deck, with a handshake and a good luck. For People Science, it means something different – and the distinction matters more than most organizations realize before they engage. Here’s what a

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How to Audit Your Candidate Experience Across Every Stage of the Recruiting Continuum
Candidate Experience Audit

Most TA leaders believe their candidate experience is better than it actually is. That’s not a criticism – it’s a structural problem. The people designing the hiring process rarely go through it. Recruiters see the internal side. Candidates experience the external side. And the gap between those two perspectives is where your employer brand is

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What People Science Is Seeing in the Field: Skills-Based Hiring in Practice
Skills-Based Hiring

Skills-based hiring has become one of the biggest shifts in talent acquisition over the last few years. Drop the degree requirement. Focus on what candidates can actually do. Hire for potential, not pedigree. In theory, it’s exactly right. In practice, it’s harder than most organizations expected, and the gap between intention and execution is where

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The ROI of Getting Recruiting Right: A Framework for Measuring What Matters
Recruiting ROI Framework

Most organizations treat recruiting as a cost center, but a strong recruiting ROI framework shows that hiring outcomes directly impact revenue, retention, and organizational performance. Most teams measure what’s easy, such as time-to-fill, number of hires, and cost-per-hire — but those numbers alone don’t tell you whether you’re hiring effectively. They measure what’s easy, such

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AI Hiring Tools: Why ChatGPT, Claude and Gemini Give Conflicting Advice
Why ChatGPT, Claude, and Gemini Give Conflicting AI Advice...

Talent Acquisition × AI Why AI Hiring Tools Give Conflicting Advice (and Why It Matters for TA Leaders in 2026) Based on real TA leader questions — April 2026 — People Science AI hiring tools often give conflicting advice. Yes, AI is changing the way we work—but if you’ve used ChatGPT, Claude, or Gemini, you’ve

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The Real Cost of Slow Hiring (And What High-Growth Companies Do Differently)
Recruitment Strategy: The Cost of Slow Hiring - People Science

Recruitment strategy is not the enemy of quality hiring. Poor systems are. In many organizations, the hiring model was never designed to handle the level of demand the business now expects. Hiring problems rarely start with the recruiter. They start when the business expects the hiring process to do something it was never built to

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The AI Bias Wake-Up Call: What Current Lawsuits Mean for DEI and Responsible Hiring
The AI Bias Wake-Up Call: What Current Lawsuits Mean for DEI and Responsible Hiring

AI didn’t arrive in hiring quietly; it came with a promise: smarter, faster, fairer decisions. But concerns around AI bias in hiring are now front and center for employers. The first two scaled quickly. The third is still up for debate and, increasingly, for judgment in federal courts. AI-powered hiring tools processed over 30 million

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RPO Readiness: A TA Leader’s Playbook for Partnership Success, Before, During, and After
RPO Readiness: A TA Leader's Playbook for Partnership Success, Before, During, and After

Talent acquisition leaders are under pressure to do more than fill reqs. They are expected to build hiring functions that scale with the business, support growth into new markets, and hold up under compliance scrutiny. For many organizations, Recruitment Process Outsourcing (RPO) is part of that answer, but only when the TA function is ready

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When Hiring Stalls: Closing the Hiring Manager Disconnect
When Hiring Stalls: Closing the Hiring Manager Disconnect

There’s a moment that happens in nearly every talent acquisition team, across every industry, regardless of company size: a recruiter submits a lineup of strong candidates. Days pass. Then a week. Then two. Feedback trickles in late or not at all. A top candidate accepts another offer. The req ages. Leadership asks why time-to-fill is

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Designing Workforce Agility in the Age of AI Aligning AI, automation, and skills to drive performance.
Aligning AI, automation, and skills to drive performance.

Workforce agility is no longer a strategic ambition. It is an operational design choice. Digital disruption, economic volatility, and accelerating technology are redefining how value is created. What once differentiated high-performing organizations is now a baseline requirement for survival. Yet most talent systems remain static, tethered to rigid job architectures, linear career paths, and workforce

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