Articles from Textio

Textio, a leader in AI-powered tools that help high-growth companies recruit and coach high-performing teams, today announced the appointment of Meg Bear to its board of directors. Bear, the former President of SAP SuccessFactors and one of the most influential leaders in HR technology, joins Textio at a pivotal moment. The company is scaling Lavalier, its structured interview platform, built to help talent teams improve the consistency and quality of their hiring processes while significantly reducing time spent on manual orchestration.

Textio today launched Skills Matrix, a new feature in Lavalier, a comprehensive interview intelligence platform, that visually maps what candidates shared in their interviews to the specific requirements of the role. Instead of reconciling transcripts, scattered notes and feedback, Skills Matrix organizes interview evidence against the competencies that matter, so teams can see at a glance where a candidate has experience and where signals are thin.

Textio, a leader in recruiting tools, today launched Lavalier: an interview intelligence platform built to help recruiting teams raise their hiring bar with interviews that drive better decisions faster. Lavalier is free to start with transparent and scalable pricing.

Textio, a leader in building tools that help high-growth companies recruit and coach high-performing teams, today announced that its board has appointed Colleen Gallagher, currently Chief Operating Officer, as the company’s next Chief Executive Officer.

New research released today from Textio has found that hiring decisions are influenced more by candidate likability rather than by relevant skills. In a first-of-its-kind study analyzing written interview assessments and candidate experiences across more than 10,000 interviews, Textio found that candidates who receive offers are 12x more likely to be described as having a “great personality” than those who don’t.

Textio, the Talent Optimization Platform that empowers HR leaders to build and retain high-performing teams, today unveiled at Transform the latest addition to its AI platform: Interview Feedback—which quickly creates clear, compliant, and skills-based assessments of candidates, so organizations stop losing money on poor-fit hires that don’t work out.

New research from Textio released today on language bias in performance feedback has found high performers are getting the lowest quality feedback at work, and it’s worst for high-performing women who receive feedback containing the most exaggerations, clichés, and fixed-mindset labels.

Textio, the only AI platform purpose-built to help companies hire and develop remarkable teams, today announced Kieran Snyder has stepped down as CEO. Jensen Harris, co-founder and CXO, has been unanimously appointed as CEO by the board, effective immediately. Kieran will take the role of Chief Scientist Emeritus and retain her board seat. Jensen’s former role as Chief Experience Officer will be retired.

New research from Textio released today has found a clear connection between performance feedback quality and employee retention rates — showing organizations can significantly change their employee retention patterns by ensuring all employees receive direct, clear, and actionable feedback regularly.

Textio has been named to Fast Company’s prestigious annual list of the World’s Most Innovative Companies for 2023. Listed as one of the 10 most innovative companies in business services, Textio is paving the way for businesses to take bias out of hiring and performance management and grow a diverse workforce.

The first AI-enabled software tool to interrupt biases in written job performance feedback has been released by Textio, the pioneer in augmented writing solutions for the entire employment lifecycle. The new product, Textio for performance feedback, provides real-time coaching for managers writing employee feedback to make certain that feedback is effective and fair, and identifies and replaces language that could be biased based on race, gender and/or age.

One of the most comprehensive research reports released on language bias in the workplace reveals data showing major demographic biases – with women, people of color and older workers garnering more problematic performance feedback on the job than white and Asian men and younger workers.