With the advent of AI in hiring, companies are increasingly replacing the traditional Boolean search techniques in favor of machine intelligence. However, a significant thing to note here is that AI can only be as good if used in isolation. Combining Boolean search techniques with AI tech can be the holy grail for recruiting.
by Armaan Akbany, CEO, Shortlyst AI
Job markets today are competitive owing to the large pool of qualified candidates. What adds to the problem is the overwhelming amount of information available for every candidate online. It is thus challenging for Human Resource professionals to sift through the data and find the perfect candidate for the job role.
Why is Boolean Search important in recruiting?
Boolean search plays a pivotal role in shortlisting candidates for any job role. Let us discuss its contribution to recruitment in detail.
Candidate filtering
As per a CareerBuilder study, 82% of employers believe that poor hiring decisions directly impact their companies’ performance. Boolean search enables HR professionals to precisely filter candidates based on specific qualifications, skills, and experience. Using the operators with relevant keywords and modifiers, recruiters can perform concentrated searches to narrow down the candidate pool. This results in accurate and effective hiring outcomes.
Reducing time-per-hire
Boolean search significantly enhances the effectiveness of talent acquisition by empowering recruiters to streamline the screening process of candidates. As per research conducted by LinkedIn, a recruiter spends an average of 6 seconds reviewing a resume when conducting a screening. This dramatically enhances worker productivity. Leveraging Boolean search techniques, you can filter through volumes of CVs in a matter of minutes. It helps pinpoint candidates who meet specific criteria, such as education level, certifications, or job titles, by quickly sifting through vast pools of resumes. This saves time and enables recruiters to focus their efforts on evaluating the most qualified candidates.
Diversity hiring
Having a diverse workforce is essential for legal as well as logical reasons. While some governments have made it mandatory for companies to have a multi-disciplinary and diverse team, tapping into diverse pools also gives you access to untapped potential. By combining the relevant job keywords with those relating to the under-represented groups, you can reach out to the candidates who may be overlooked via traditional methods. Thus, Boolean search eliminates biases by focusing on objective criteria. This ensures that organizations have access to a diverse pool of candidates.
Hiring for niche roles
Some roles call for highly specialized skills or expertise. Recruiters can use Boolean search enables recruiters to target niche roles with precision. By combining keywords relating to specific technologies with certifications, or domain knowledge, recruiters can identify relevant candidates. This approach reduces time-to-hire and increases the quality of hires while ensuring you can find candidates for niche roles.
The role of AI in recruitment
Artificial Intelligence (AI) has revolutionized the way organizations identify and engage with potential hires. It leverages analytics, automation, and machine learning to streamline all aspects of the hiring process.
Using AI in recruitment allows for easy analysis of swatches of data, including developing job descriptions, going through resumes, and shortlisting candidate profiles. It uses algorithms to identify patterns, extract key information, and find the perfect candidate for the job.
Incorporating AI into recruitment has resulted in reducing the time and effort spent on manual screening and shortlisting candidates. AI also helps improve the candidate experience by helping personalize candidate interactions and offering insights. Organizations are using chatbots, virtual assistants, and AI-powered systems to engage with candidates and answer candidate queries. All this helps significantly improve the efficacy of the recruitment process.
AI-driven algorithms can also be used to eliminate the unconscious biases that may creep into the hiring process, thereby promoting diversity and inclusion.
Thus, it comes as no surprise that organizations are increasingly looking to hand over entire recruitment processes to AI.
Boolean Search or AI?
Boolean search has been instrumental in reducing the hassles in hiring and empowering recruiters when looking for candidates. However, with the advent of AI in hiring, companies are increasingly replacing the traditional Boolean search techniques in favor of machine intelligence. However, a significant thing to note here is that AI can only be as good if used in isolation. Combining Boolean search techniques with AI tech can be the holy grail for recruiting.
The Solution
An option is to integrate Boolean search with AI-powered recruitment platforms, unlocking their full potential. While AI algorithms can analyze job descriptions and other relevant data, Boolean search operators can help fine-tune the queries and refine the matching criteria. This gives you more accurate candidate recommendations. AI can then learn from this interaction and replicate it in the next search. Thus, it continuously improves the quality of candidate suggestions, enhancing the quality of the hiring process.
Shortlyst has combined AI with Boolean search in its one-of-its-kind recruitment suite. The software employs this powerful synergy to streamline the hiring process, resolve bottlenecks and improve workforce quality. While the embedded Boolean search techniques can precisely filter and target candidates based on specific qualifications, skills, and experiences, AI-powered algorithms enhance search capabilities by providing more accurate and tailored candidate recommendations. Thus, using the collaborative strengths of Boolean search and AI software, Shortlyst empowers recruiters to make informed decisions faster and hire effectively.
With an expansive database of over 650 million+ profiles, Shortlyst is a game-changer in recruiting. The automation in the form of matching candidate profiles to descriptions, and completing manual tasks and administrative work, allows the recruiter to focus on strategic decision-making and other important tasks. Thus, Shortlyst with its immense database and advanced features enables organizations to streamline their talent acquisition efforts, make data-driven decisions, and achieve remarkable hiring outcomes.
About the author:
Armaan Akbany is the Co-Founder & CEO of Shortlyst AI, a platform which makes outbound hiring faster and better. Armaan Akbany along with his co-founder spent more than two years researching the HR industry and developing the first iteration of Shortlyst’s AI engine.
