One of the Leading Telecommunications Providers in the U.S. Enhances Hiring Efficiency and Diversity with AI Integration

Summary:

As a result of AI integration, a company saw a 17% increase in female candidates and significantly shortened the time-to-fill roles by an average of 5 days. 

Client: 

T-Mobile is one of the leading telecommunications providers in the U.S.

Problem Statement: 

T-Mobile has long prioritized building a diverse and inclusive workforce. As part of their ongoing commitment to Diversity, Equity, and Inclusion (DEI), the company sought to attract a broader pool of candidates and improve its recruitment process. 

Despite a solid commitment to DEI, job descriptions often contained subtle language that inadvertently dissuaded diverse candidates from applying. Furthermore, the company sought to accelerate their hiring process without compromising the quality or inclusivity of candidates.

Results: 

• 17% Increase in Female Candidates.
• 5 Days Faster Time-to-Fill.
• Improved Candidate Experience.
• Increased Brand Reputation.

AI Solution Overview:

To address these challenges, T-Mobile added Textio to their recruitment technology stack. Textio uses AI-driven language analysis to help companies create more inclusive, neutral, and appealing job descriptions. By scanning job postings for biased language that might deter women and other underrepresented groups from applying, Textio provided actionable recommendations for more effective communication.

Textio identifies words or phrases that can be perceived as gender-biased or overly masculine, and suggests replacements that are more neutral or appealing to a broader audience.

Textio’s platform offers insights into how language changes are likely to impact the diversity of applicants and the time-to-fill roles.

As recruiters and hiring managers write or edit job descriptions, Textio provides immediate feedback on tone, clarity, and inclusiveness, ensuring job postings are optimized for a diverse candidate pool.

T-Mobile’s HR and recruitment teams collaborated closely with Textio to roll out the platform across various departments, starting with high-priority roles in technology, customer care, and leadership. The integration process included:

1. Training sessions for recruiters and hiring managers on how to use Textio’s interface and apply the suggestions effectively.
2. Auditing existing job descriptions to remove biased language and align postings with DEI goals.
3. Monitoring and analyzing the impact of changes in job descriptions on applicant demographics and the speed of the hiring process.

Within a few months, T-Mobile began to see measurable results from the use of Textio.

T-Mobile saw a significant boost in the number of women applying for positions, especially in traditionally male-dominated fields like technology and engineering.

Textio’s language suggestions helped ensure that job descriptions were not only free from bias but also crafted in a way that appealed more broadly to women candidates.

On average, roles were filled 5 days faster than before. By creating job postings that resonated with a wider pool of candidates, T-Mobile was able to attract suitable applicants more quickly, reducing the overall time-to-hire.

This reduction in time also positively impacted T-Mobile’s operations, as critical roles were filled more efficiently, keeping projects and teams moving forward without delays.

References: 

1. T-Mobile rejects the tradeoff between hiring quickly and hiring diversely with the help of Textio. https://explore.textio.com/case-study-t-mobile?utm_source=vktr.com
2.  5 AI Case Studies in HR. https://www.vktr.com/ai-disruption/5-ai-case-studies-in-hr/

Industry: Human Resources

Vendor: Textio

Client: T-Mobile

Publication Date: 2024