Lara Cohen

Hiring is harder than ever. The hiring process frustration leaves both business owners and job seekers feeling stuck—but it doesn’t have to be this way. For business owners, a bad hire can cost thousands—and stall company growth. For job seekers, applying to dozens of roles without hearing back is frustrating and demoralizing. The hiring process feels like it’s working against both sides. And it is. The traditional hiring system is outdated, slow, and often biased. But with the right tools—and a shift in mindset—it’s possible to make hiring faster, fairer, and more effective for everyone involved. What’s Broken in Hiring…

In today’s hiring landscape, recruiters are discovering the power of collaboration—learning how to work with AI to outperform it rather than compete against it. While artificial intelligence excels at processing large volumes of data and automating routine tasks, it can’t replace the human intuition, empathy, and judgment that recruiters bring. By combining AI’s strengths with their own expertise, recruiters can make smarter, faster, and more personalized hiring decisions. Let AI Do the Heavy Lifting Administrative tasks like resume screening, interview scheduling, and candidate communication can consume up to 30% of a recruiter’s time. AI-powered recruitment tools can automate these tasks,…

It’s time to address a quiet truth in recruiting: most job descriptions are misleading. While they may help fill roles faster, they often don't reflect the reality of the position. Shifting toward more honest job descriptions is not only essential for setting proper expectations but also crucial for improving retention, trust, and overall hiring success. Recruiters today face a paradox: in an effort to compete for top talent, job descriptions are often embellished with buzzwords, vague perks, and promises that don't quite match reality. The result? A growing gap between candidate expectations and the actual experience of the role—leading to…

The world of recruitment is evolving fast—and AI is leading the charge. From automating repetitive tasks to personalizing candidate experiences, artificial intelligence is transforming how companies attract, assess, and hire talent. As we move forward, the integration of AI in SaaS recruitment platforms isn’t just an upgrade—it’s a competitive necessity. Here’s a breakdown of the top trends shaping AI in recruitment and the actions forward-thinking companies should be taking right now. Why AI in Recruitment is More Than Just Hype Hiring has always been a high-stakes, high-effort process. But the demands of today’s job market—massive applicant volumes, skill gaps, and…

We’ve all heard it before: the “war for talent” is on. But what if that battle cry is outdated? In a hiring landscape transformed by AI recruitment tools, the real winners aren’t those fighting hardest—they’re those adapting fastest. Today’s top candidates don’t respond to noise or desperation. They respond to precision, clarity, and experience. And that’s exactly what AI-powered hiring now makes possible. With automation, predictive analytics, and pre-hire screening, the game has changed—and it's time to flip the script. From Reactive to Proactive: The Shift in Hiring Strategy Traditional hiring is reactive. A role opens, you post a job,…

Hiring has never been more complex—or more critical. For recruiters focused on winning top talent, the pressure to move quickly, compete effectively, and avoid costly missteps is real. But too often, hiring teams rely on instinct, incomplete data, or legacy tools that simply don’t reflect how people work today. The result? Misaligned hires, early turnover, and processes that leave both recruiters and candidates frustrated. Today’s most effective recruiters are rethinking everything—starting with how they evaluate talent. They’re moving beyond the basics, embracing smarter, more strategic approaches to hiring. The Rise of Benchmarking in Talent Acquisition One of the most impactful…

Explore how AI-driven recruitment is transforming hiring by eliminating bias, speeding up processes, and improving decision-making.

According to a report by Jobscan, 75% of resumes are never seen by a human because keyword-based ATS systems filter them out before reaching hiring managers. Many businesses rely on Applicant Tracking Systems (ATS) to streamline their hiring process. However, these systems often prioritize keywords over actual qualifications, leading to missed opportunities for top talent. While ATS platforms were designed to make recruitment more efficient, they frequently end up eliminating qualified candidates who don’t fit rigid keyword criteria. The Problem: Why Keyword-Based ATS Systems Hurt Your Business Most ATS platforms scan resumes for pre-set keywords, automatically rejecting those that don’t…

The Hiring Crisis: Why Resumes No Longer Work Leading organizations are moving beyond resumes and adopting technology-driven solutions to identify top talent efficiently. AI-powered tools analyze thousands of data points to match candidates with job requirements based on verified skills, personality traits, and cognitive abilities. This reduces hiring bias and improves the likelihood of a successful placement, highlighting the future of data-driven hiring as a transformative force in recruitment. The Hidden Problems with Resumes Resumes may seem like a quick way to screen candidates, but they introduce major inefficiencies into the hiring process. Here’s why: 1. Resumes Are Unreliable and…