What is Scout?
Sourcing for the ideal candidate can be a troublesome process that can take hours, and sometimes even weeks. Yet, it is an irreplaceable part of the recruitment process with 31% of all hires having been proactively sourced.
To make this process a lot simpler and more efficient, Scout, an artificial intelligence-powered sourcing engine, was created with recruiters and talent teams in mind. In under a minute, Scout provides you with a longlist of only the most relevant and qualified candidates, helping you halve your sourcing time while doubling your fill rates.
This way, you can spend more time brokering placements and managing your candidates and hiring managers, rather than on manual tasks like sourcing.
But how does Scout actually do it all? Here is an inside look at Scout’s secret advantages that enable it to be a powerful AI sourcing engine that you can get started using today, for free.
How Artificial Intelligence (AI) Supports Scout:
Scout AI’s search engine is the heart of the platform, using AI algorithms to match candidates with job requirements in real time. The search engine leverages natural language processing (NLP) and machine learning (ML) to understand the requirements of each role, as well as the skills, experience, and qualifications of each candidate. This allows Scout AI to provide recruiters with a shortlist of qualified candidates in just 1 minute, saving time and effort over the traditional recruitment process.
Here’s a deeper look at what separates Scout from other candidate sourcing engines, empowering you to find only the most qualified and relevant tech talent for your open roles.
Natural Language Processing (NLP) for Relevant Job Matching:
Rather than spending hours poring through a stack of resumes or countless LinkedIn profiles and trying to make sense of a candidate’s relevancy to a job opening by yourself, Scout does all the work for you.
Equipped with Natural Language Processing (NLP) which uses artificial intelligence and machine learning to process and interpret text, Scout can easily analyse:
- Job Descriptions: Scout parses through your provided job description to obtain information on the skills and experience required of an ideal fit for the role.
- Resumes: Scout looks through countless candidate profiles at once to uncover candidates’ key skills and experiences that match the job’s requirements.
Scout also accurately parses text of all kinds of pages and documents with different layouts, which includes texts from PDF or .doc files, and even websites.
With the aid of its AI engine, Scout users are able to gain more accurate and relevant matches, helping recruiters to fill open roles twice as fast and more easily compared to traditional methods of sourcing and screening candidates.
Ranking Algorithm for Quicker Interviewing and Hiring Decisions:
Besides parsing through the text of candidate profiles and your provided job description, Scout also uses AI algorithms to rank your candidates. This saves you the trouble of filtering out only the best candidates from a long list of profiles, which can often seem like an impossible task when you have multiple variables to consider, and multiple profiles to choose from.
This is how it works: after analysing your job description’s top requirements, Scout sources candidates across the web and ranks them according to their relevance and suitability to the role.
The three bars beside a profile indicate that the candidate is highly recommended for the job, possessing the relevant skill set and experience required.
These recommendations are based on Scout’s AI-powered comparison of your job’s top requirements, against a weighted calculation of a candidate’s entire digital footprint. Scout determines the experience, technical abilities and relevance of a candidate through these mediums:
- Profiles on LinkedIn, as well as other job boards such as Naukri, Monster, and more
- GitHub contributions
- Personal websites
- Online portfolios
- HackerRank scores
- Contributions on other platforms such as, but not limited to, CodePen, Medium, StackOverflow, Behance, etc.
This allows you to gain a better understanding of a candidate’s technical expertise and suitability for the role in a matter of moments rather than hours.
By having quick access to the best candidates at your fingertips, recruiters will be able to reach out to top candidates, submit CVs, and schedule interviews a lot faster.
Machine Learning (ML):
Last but definitely not least, Scout’s machine learning algorithms carefully analyses your job description and picks out the most important skill, experience and certification requirements from it.
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This can be especially helpful when hiring for technical roles as a recruiter who is not familiar with technical recruitment. This saves hours of your own time spent researching or speaking with the hiring manager to simply understand the requirements of the role… and this roadblock happens before you even start searching for suitable candidates!
Also, as you add more job descriptions and send out outreach emails, Scout learns more about your candidate skill preferences, leading to more precise and powerful candidate sourcing.
Benefits of AI-Powered Recruitment Sourcing:
To recap, AI’s incredible capabilities simply can’t be ignored. Scout’s own unique algorithms put considerable power into recruiters’ hands and provide these benefits:
- Fast and efficient process
- Resume screening is automated
- Accurate matches based on AI algorithms
- Faster time to fill a role
- Improved candidate experience
- Enhanced data insights
Want to make talent sourcing a breeze? Get started with a FREE Scout trial in just a few minutes. You might just find your next hire with Scout.