Adrienne is an Associate Director of Product Marketing at Seramount. With a background in health tech and a passion for mission-driven work, she brings a strategic lens to marketing initiatives that bridge data, storytelling, and impact. Outside of work, she enjoys spending time with family and has a deep love for music—especially discovering new artists and revisiting old favorites.
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High Application Volume Is Breaking Early Talent Hiring. Why It’s Happening and What to Do About It
Historically, increasing application volume improved hiring outcomes. When applying required time and effort, a larger pool created more meaningful choice.
That tradeoff has flipped.
Over the past two years, application volume has surged, driven by AI-generated resumes and one-click apply. Yet many hiring teams are less confident in their pipelines than the volume would suggest.
The funnel is filling before candidates have enough context to make informed decisions. A full pipeline may signal productivity, but it obscures what matters: who understands the work, who will stay engaged, and who is worth advancing.
Application Volume Is Outpacing Recruiter Capacity
A larger applicant pool only helps when it gives recruiters a stronger set of qualified, engaged candidates to consider. Recent data shows average applications per job were up 45% year over year as of February 2024.
For TA leaders, the risk is not just more resumes to review. Hiring decisions slow and become less consistent when teams cannot clearly separate serious, role-ready candidates from casual applicants.
That pressure shows up in practical ways: recruiters spend more time building credible shortlists, hiring managers wait longer for candidates they trust, and strong applicants risk getting buried when teams lack enough information to prioritize them quickly. At a certain point, volume stops improving choice and starts weakening the decisions the funnel is supposed to support.
Early-Stage Filters Are Losing Their Effectiveness
Most teams still rely on familiar filters to manage volume. Academic performance, school background, and keyword alignment remain common inputs for narrowing the field, especially in early-career hiring where candidates often have limited work experience.
But those filters were built for a different application environment.
AI has made it easier for candidates to produce well-structured, tailored materials that mirror the language of a job description. The result is a growing sameness at the top of the funnel. More candidates appear qualified on paper, even when their understanding of the role, readiness for the work, or likelihood to stay engaged varies widely.
That matters because the attributes most predictive of early-career success are often the least visible in traditional application materials. Problem-solving, communication, judgment, follow-through, and motivation rarely show up clearly in a resume or keyword match.
Adding more screening steps does not fully solve the issue. It may create the appearance of rigor, but it often shifts uncertainty further downstream, requiring recruiters and hiring managers to spend more time validating candidates later in the process.
The Funnel Needs Better Inputs, Not More Review
Faster review only helps if the underlying candidate pool is worth reviewing. The issue is not speed, but what enters the funnel.
That distinction matters because most TA teams are under pressure to reduce cost, maintain or increase hiring volume, and move faster with smaller teams. In that environment, every unqualified or poorly aligned application consumes capacity the team does not have.
Teams can tighten screens, add assessments, and move candidates through the process more efficiently, but those changes do not address the quality of information candidates have before they apply.
The more durable shift is to create alignment earlier. Candidates need a clearer view of the work, the expectations, and the skills required to succeed. Employers need a way to see who has engaged with that context before recruiter time is spent.
That changes the role of the top of the funnel. It is no longer just about attracting attention. It is about helping the right candidates opt in with more clarity and helping poor-fit candidates opt out before they become another application to review.
What Leading Teams Are Doing Differently
The strongest teams are no longer treating the application as the first meaningful step in the process. They are using the pre-application stage to educate candidates, observe engagement, and reduce avoidable mismatch before recruiter review begins.
That requires three changes.
Move Role Education Earlier
Candidates need more than a job description to understand whether a role is right for them. A clearer view of the work, the expectations, and the skills required helps candidates make more informed decisions before they apply, rather than relying on brand recognition or a vague sense of fit.
Use Behavior, Not Just Application Materials
A resume can show what a candidate claims to have done. It cannot show how they approach work. Role-relevant tasks, simulations, or other practical experiences give recruiters a better read on effort, follow-through, and problem-solving before a candidate enters the formal process.
Make Self-Selection Part of the Strategy
A candidate opting out after learning more about the role is not a failure. It is the funnel working as it should. When candidates understand the work in concrete terms, the people who continue are more likely to be informed, interested, and aligned.
The result is not a smaller opportunity pool. It is a cleaner one. Teams spend less time interpreting applications that all look similar on paper and more time engaging candidates who have already shown meaningful interest in the work.
How Forage Supports This Shift
Forage operationalizes this model by giving candidates direct exposure to the work before they apply.
Through virtual job simulations, candidates complete tasks based on real responsibilities within a role. This creates two outcomes simultaneously. Candidates develop a clearer understanding of what the job requires, and employers gain visibility into how candidates engage with that work.
The impact is not just theoretical. Candidates who complete Forage simulations are significantly more likely to convert and accept offers, indicating stronger alignment between expectations and reality.
More importantly, this approach changes the starting point of the hiring process. Instead of relying on increasingly uniform applications, teams can focus on candidates who have already demonstrated interest, effort, and a baseline level of readiness.