Bullhorn > Case Studies > Boosting Productivity through Connected Recruiting Automations: A Case Study on Ethan Allen

Boosting Productivity through Connected Recruiting Automations: A Case Study on Ethan Allen

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Technology Category
  • Analytics & Modeling - Machine Learning
  • Infrastructure as a Service (IaaS) - Cloud Databases
Applicable Industries
  • Automotive
  • Telecommunications
Applicable Functions
  • Human Resources
Use Cases
  • Leasing Finance Automation
  • Material Handling Automation
About The Customer

Ethan Allen Workforce Solutions is a leading full-service agency in the Hudson Valley area. The company is committed to simplifying the process of connecting companies with talent. They specialize in the healthcare, administrative, and industrial sectors, providing both direct recruitment and temporary staffing solutions. The team at Ethan Allen is dedicated to enhancing the candidate experience, creating an ever-growing and consistently engaged talent pool, and reducing the cost of talent acquisition. They strive to leverage technology to streamline their processes and increase efficiency.

The Challenge

Ethan Allen Workforce Solutions, the largest full-service agency in the Hudson Valley area, was facing challenges in managing the talent lifecycle efficiently. The company specializes in healthcare, administrative, and industrial sectors, providing both direct recruitment and temporary staffing solutions. Despite transitioning to the Bullhorn Platform, the team was still grappling with manual processes that were time-consuming and inefficient. The challenge was to implement a system that could automate various stages of the talent lifecycle, from attracting and engaging to onboarding and nurturing talent. The goal was to enhance the candidate experience, create a consistently engaged talent pool, and lower the cost of talent acquisition.

The Solution

Ethan Allen decided to implement Bullhorn Automation in February 2022 to streamline their recruitment process. The solution involved automating each phase of the talent lifecycle in line with Bullhorn’s Connected Recruiting strategy. The first phase, 'Attract', involved using AI and machine learning to match candidates with job openings, thereby increasing efficiency and improving the candidate experience. The 'Engage' phase involved cleaning their data to effectively communicate with talent and setting up regular automations to engage with available candidates. The 'Onboard' phase involved streamlining the onboarding process with Onboarding365, which allowed the team to gather basic information from each candidate and send them mobile-friendly paperwork to fill out. The final phase, 'Nurture', involved setting up a date-based automation to check in with candidates on assignment and planning to automate feedback surveys at the end of a candidate’s assignment.

Operational Impact
  • The implementation of Bullhorn Automation has significantly improved Ethan Allen's operational efficiency. The automation of various stages of the talent lifecycle has not only saved time but also improved the candidate experience. The use of AI and machine learning in the 'Attract' phase has made the process of matching candidates with job openings more efficient. The 'Engage' phase has seen improved communication with talent due to cleaner data. The streamlined onboarding process has made it easier for candidates to provide necessary information and forms. The 'Nurture' phase has ensured consistent check-ins with candidates on assignment, improving the overall candidate and client experience. The automation has also freed up time for recruiters to focus on building relationships with candidates and clients, rather than administrative tasks.

Quantitative Benefit
  • Ethan Allen increased their time saved by 204% through the implementation of Bullhorn Automation.

  • The company went from engaging with 33% more contacts in a 30-day period using engagement automations.

  • The automation of the onboarding process significantly reduced the time taken to onboard candidates.

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