Introducing Winston Match

Winston Match is an AI-driven talent matching engine designed to improve the precision and efficiency of the candidate selection process. It represents a significant evolution, offering enhanced capabilities compared to previous talent matching tools.

Winston Match employs different types of AI to provide comprehensive candidate assessments:

1. Generative AI (GenAI) and Large Language Models (LLMs): These technologies generate summaries of candidate profiles, mimicking the notes a recruiter would typically create after reviewing a CV and interviewing the candidate. This provides an immediate overview of the candidate's background and qualifications.
2. Deep Learning: This AI component learns from billions of data sets, including industries, jobs, and certifications, to assess a candidate's skills, experience, and education. It can also infer skills, identifying candidates who may lack direct industry experience but possess transferable skills.
3. Natural Language Processing (NLP): NLP is used to extract and interpret skills from job descriptions and CVs, ensuring accurate matching based on the required competencies.

Recruiters often face challenges such as spending excessive time reviewing CVs and struggling to identify top-fit candidates quickly. Winston Match addresses these issues by:

• Match Scoring: Winston Match provides a score as soon as a candidate applies, enabling recruiters to quickly prioritize the most promising profiles. The Match Score is displayed directly in the applicant list, and applicants can be sorted based on it. While multiple candidates may appear in the same category—such as High Match—each candidate has a precise underlying numerical score. Winston Match uses this exact score to determine the sort order, ensuring that the candidate with the highest score within a category appears first as the most relevant match.
• Candidate Summaries: Winston Match provides recruiters with clear, concise summaries of a candidate’s experience, education, and overall fit for the role. This eliminates the need to gather and interpret information from multiple sources.
• Skill Intelligence: Winston Match helps recruiters see not only what a candidate has already done, but also what they are capable of. It highlights related skills and transferable experience that may be valuable for the role.

Winston Match offers several key benefits:

• Time Savings: Reducing the time spent reviewing CVs by up to six times, allowing recruiters to focus on other critical tasks.
• Increased Confidence: Providing recruiters with a 90% confidence level in candidate ratings, ensuring they trust the system's recommendations.
• Fair and Transparent Hiring: Reducing bias in hiring decisions by using objective data and skill-based precision in every match.

Winston Match Score evaluates a candidate’s compatibility with a specific job. It aggregates the candidate’s work history, skills, seniority, education, and other structured attributes to predict the likelihood that the candidate would be a good fit for the job. The score mimics how a recruiter might assess a candidate, but in a standardized, efficient, and data-driven way.

Higher scores indicate closer alignment to job requirements:

• Very High: Strongly recommended
• High: Good fit
• Medium: Moderate potential
• Low: Poor match, likely not actionable

In many cases, a resume is an incomplete articulation of a candidate’s skills, making skill inference an essential step in providing an accurate assessment of a candidate’s fit for a job.

Winston builds a skills profile for each candidate that combines the skills they explicitly list on their resume with the skills Winston infers they have (or could quickly learn) based on patterns from the hundreds of millions of analyzed resumes and job postings.

We take a layered approach to building a candidate’s skill profile:

• Skills Listed on Resumes: Winston adds the skills specifically listed on the job seeker’s resume. Winston considers skills listed in the skills section of the resume and those embedded in the descriptions of work and educational experiences. Winston extracts 29 skills from the typical resume.
• Skills Inferred from previous roles: Winston looks at a candidate's job titles and infers the skills they have likely developed by working in those roles. For example, our models assume that a Graphic Designer is highly likely to be skilled in Adobe Photoshop and moderately likely to have niche design skills, such as logo design or data visualization.
• Skills Inferred from Other Skills: Finally, Winston infers additional skills based on the skills listed on a resume. For example, if a candidate indicates that they know HubSpot and Salesforce, Winston infers that they also have CRM and digital marketing skills.

In addition to identifying which skills a candidate possesses, Winston infers a degree of competence based on the time spent in jobs that use a skill and the level of competence with similar skills.

• Winston Match enhances talent acquisition by using AI to analyze candidate profiles and match them with job requirements, providing a more accurate fit score.
• Winston Match employs Generative AI, Deep Learning, and Natural Language Processing to provide comprehensive candidate assessments, streamlining the recruiter's review process.
• Winston Match addresses recruiter challenges by providing instant match scoring, candidate summaries, and skill intelligence, which saves time and increases confidence in candidate ratings.
• Winston Match uses a scoring system to evaluate the compatibility between a candidate and a specific job, with higher scores indicating a closer alignment to job requirements.
• Winston Match assesses candidate skills by considering skills listed on resumes, skills inferred from previous roles, and skills inferred from other skills, providing a comprehensive skill report.