Compare Restless Bandit vs. Searchlight.ai

Restless Bandit compiles and analyzes tens of millions of resumes and job postings each year to create its statistical Talent Rediscovery models, providing a valuable resource for exploring labor market dynamics. The dataset predominantly includes information from white-collar occupations, with this specific analysis utilizing 19,258,407 individual resumes. To categorize these resumes into industry classifications, the Restless Bandit data science team employed a vector space model to compare companies based on the resumes submitted. By scrutinizing millions of these documents, patterns begin to emerge indicating which companies tend to recruit similar talent. For instance, Eli Lilly frequently hires candidates from a cluster of firms including Merck and Novartis. Companies that exhibit a strong similarity in their hiring patterns are subsequently organized into specific industry segments. While ample data has been collected to assess diversity levels for each Global 2000 company, this report will concentrate solely on industry segments to ensure the confidentiality of corporate information. Additionally, this focused approach allows for a more comprehensive understanding of industry-wide trends without compromising individual company identities.

Searchlight provides us with valuable data and actionable insights that allow for the personalization of our sourcing processes, enabling us to effectively identify the most suitable candidates and tailor our onboarding procedures. Previously, gathering such data could take us over a year, but with Searchlight, we are now able to accomplish these tasks 80% quicker. In just one quarter, we've established a system that previously took over a year to develop at my last company, which has resulted in more than $3 million in additional revenue. Furthermore, Searchlight is advancing our capabilities from merely predictive analytics to prescriptive analytics. By harnessing Searchlight's AI features, we can now access the full spectrum of people analytics, including descriptive, diagnostic, and predictive analytics. Additionally, utilizing Searchlight's standardized Quality of Hire formula allows us to gain insights into our hiring quality. We can analyze trends in hiring quality and retention through various filters, such as departments, managers, and geographical locations, thereby enhancing our overall recruitment strategy. Ultimately, this innovative approach significantly transforms how we understand and improve our workforce.