Textio is an augmented writing platform that uses artificial intelligence and natural language processing to help organizations write more effective and inclusive job postings, performance feedback, and other workplace communications. Founded in 2014 by Kieran Snyder and Jensen Harris in Seattle, Washington, Textio analyzes patterns in language to predict how different phrasings will perform and provides real-time guidance that helps writers improve their content as they compose it. The platform's core technology is built on a proprietary language model trained on hundreds of millions of real workplace documents paired with their outcomes, such as job posting performance metrics, candidate demographic response rates, and employee engagement scores associated with specific feedback patterns. Textio's recruiting module analyzes job postings in real time, scoring them on predicted effectiveness and providing specific suggestions to improve language that may be gendered, exclusionary, overly complex, or less likely to attract qualified and diverse candidate pools. The platform highlights phrases that data shows correlate with higher or lower application rates from underrepresented groups, helping organizations write job descriptions that appeal to a broader range of candidates. Textio's performance feedback module, called Textio Lift, applies similar language analysis to performance reviews and ongoing feedback, identifying patterns such as gendered language, vague feedback, and tone inconsistencies that can undermine the effectiveness of employee evaluations. The platform provides aggregate analytics that show organizational patterns in how feedback is written across different demographic groups, helping companies identify and address systemic biases in their performance management processes. Textio integrates with applicant tracking systems including Greenhouse, Lever, iCIMS, and Workday, as well as performance management platforms and common writing environments. The platform uses enterprise pricing with custom contracts based on organization size and modules deployed, and does not publish standard pricing tiers publicly.
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