Browse
Log in / Register
Share
The idea of finding a perfect "10" candidate with matching software is a myth for most roles. While effective for high-volume, repetitive positions, this technology often fails to assess cultural fit, growth potential, and the nuanced qualities that define a truly great hire. The most successful recruiters use software to efficiently source candidates but rely on human judgment to identify those with potential—the "7s" who can grow into "10s."
Candidate matching software is a type of recruitment technology, often integrated into an Applicant Tracking System (ATS), designed to automate the initial screening process. It works by extracting key qualifications from a candidate's resume and comparing them against the requirements listed in a job description. The software then assigns a match score, presenting recruiters with a ranked list of applicants. The core promise is to save time by filtering large volumes of applications and highlighting the most seemingly qualified individuals.
This technology is particularly effective for roles with very clear, binary qualifications. For example, it excels when hiring for positions where:
In these high-volume, hourly scenarios, the software efficiently performs a task that would be incredibly time-consuming for a human.
The pursuit of a candidate who scores a perfect "10" can be a recruitment process optimization trap. A candidate who has "been there, done that" may lack motivation for growth and could become disengaged quickly. Furthermore, if a true "10" for a role existed, you would theoretically only need one applicant—a scenario most hiring managers would find alarming.
A more significant issue is that job descriptions themselves often paint an unrealistic picture of the "perfect" candidate, listing every possible skill and credential. This creates a talent assessment gap where highly capable individuals—the "7s"—are automatically filtered out by the software because their resumes don't tick every single box, even if they possess the core competencies and potential to excel.
The current capabilities of matching software have a significant blind spot: they operate almost exclusively on past data. A resume is a historical document, but a successful hire depends on present and future dynamics that algorithms struggle to quantify. Based on our assessment experience, software cannot evaluate:
These qualitative factors are often the difference between a new hire who merely performs the job and one who becomes a star player and stays with the company long-term.
The most effective strategy is to use technology as a powerful assistant, not a replacement for human judgment. The goal shifts from finding a non-existent perfect match to using software to efficiently discover candidates with high potential.
1. Broaden Your Sourcing with Data: Use matching software and data analytics to identify the best job boards and channels for finding a talented pool of candidates. Let the algorithms handle the heavy lifting of initial sourcing from your internal database, existing applicant pools, and external resume databases.
2. Focus Human Effort on Assessment: Once a pool of qualified "7s" and "8s" is identified, recruiters can dedicate their time to the human-centric aspects of interview skills and evaluation. This involves structured interviews, assessing problem-solving abilities, and gauging cultural alignment.
3. Refine Job Descriptions for Potential: Write job descriptions that focus on core competencies and growth opportunities rather than an exhaustive list of requirements. This attracts candidates who are excited by the challenge, not just those who have already done the exact same job.
By leveraging software for efficient pipelining and human expertise for qualitative assessment, recruiters can consistently find those future "10s." This balanced approach is more realistic, sustainable, and ultimately more successful for filling hard-to-fill, multifaceted roles.
