AI-powered writing platform that analyzes and eliminates bias in job descriptions, performance reviews, and HR communications. Increases diverse candidate applications by 23% and reduces problematic feedback language by 50% through real-time language optimization based on millions of hiring outcomes.
An AI writing tool for HR teams that helps you write better job postings and performance reviews â it catches biased or exclusionary language and suggests improvements so you attract more diverse candidates.
Textio revolutionizes organizational communication by leveraging artificial intelligence to detect and eliminate bias in HR writing. Unlike generic writing assistants, Textio is specifically trained on millions of real-world hiring outcomes and performance reviews, enabling it to predict how language choices will impact candidate diversity and employee experiences. The platform's flagship product, Textio Loop, analyzes job descriptions in real-time, flagging biased language and suggesting inclusive alternatives that demonstrably increase applications from underrepresented groups. Companies like T-Mobile report faster hiring processes and improved candidate quality after implementing Textio's recommendations.
Textio Flow, the performance review component, addresses one of the most critical areas of workplace bias. The system identifies patterns where managers unconsciously give different types of feedback to different demographic groups - for example, women receiving more comments about communication style while men get feedback focused on strategic thinking. By surfacing these patterns and providing real-time guidance, Textio helps organizations create more equitable performance management processes. Major enterprises like Micron report that over 2,700 employees using Textio have collectively saved 500+ hours while dramatically improving feedback quality.
What sets Textio apart from competitors like Grammarly Business or Hemingway Editor is its foundation in actual hiring and retention data. The platform continuously learns from new outcomes, refining its recommendations based on which language choices correlate with successful hires and positive employee experiences. This data-driven approach means suggestions aren't based on theoretical bias rules, but on proven patterns that affect real business outcomes. The platform integrates seamlessly with popular ATS systems like Greenhouse, Lever, and Workday, as well as productivity tools like Microsoft Office and Google Workspace through browser extensions.
Textio's impact extends beyond bias detection to measurable business outcomes. Organizations report 23% increases in diverse candidate applications, 50% reductions in problematic feedback language, and improved employee satisfaction with the performance review process. The platform serves Fortune 500 companies across industries including technology, healthcare, financial services, and retail. Enterprise clients receive dedicated success managers, custom analytics, API access, and professional services to maximize adoption and impact across their organizations.
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AI analyzes job postings as you write, flagging biased language and predicting how well the post will attract diverse candidates. Uses machine learning trained on millions of hiring outcomes to suggest specific word choices that correlate with increased applications from underrepresented groups.
Use Case:
Recruiting teams wanting to increase application rates from diverse candidates without guesswork or lengthy A/B testing processes
Scans review language across your organization to identify when managers give different feedback styles to different demographic groups. Flags patterns like women receiving more communication-focused feedback while men get strategic thinking comments.
Use Case:
HR teams tracking bias patterns in performance management to ensure fair promotion opportunities and consistent feedback standards
Works directly inside Greenhouse, Lever, Workday, BambooHR, and other popular platforms. Browser extension provides guidance in any text field, from email to internal communications.
Use Case:
Organizations wanting bias detection without changing existing workflows or requiring extensive training on new tools
Comprehensive dashboard tracking bias reduction progress, language pattern changes, and diversity metrics over time. Includes custom reporting for leadership and compliance teams.
Use Case:
Leadership teams needing quantifiable data on DEI initiative progress and bias reduction efforts for board reporting
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