a16z Podcast
a16z Podcast: It's Not What You Say, It's How You Say It -- When Language Meets Big Data
Jul 16, 2015
Kieran Snyder, Co-founder and CEO of Textio, shares her expertise in language analysis and job recruitment. She discusses how machine learning can predict success in crowdfunding based on text alone and highlights the impact of word choice on attracting diverse candidates. Kieran delves into gender differences in resume language and the importance of avoiding corporate jargon. Learn how strategic language can influence pitch decks and hiring practices, revealing hidden biases and effective communication trends in the tech industry.
34:06
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Quick takeaways
- The language used in job listings can significantly impact the diversity and quality of candidates attracted, necessitating continuous adaptation of vocabulary by hiring organizations.
- There are notable biases in performance reviews based on gender, as language reveals differing perceptions of assertiveness and effectiveness between men and women.
Deep dives
The Power of Language in Job Listings
Analyzing job listings reveals that the choice of words significantly influences the quality and diversity of candidates attracted. Phrases such as 'tough challenges' resonate well in tech, while encouraging language like 'we'd love to hear from you' proves to be effective across the board. Interestingly, certain terms have fluctuated in their appeal over time; for instance, 'big data' was once compelling but has since become neutral. The findings emphasize the need for hiring organizations to continuously adapt their language to stay relevant and attractive to potential applicants.
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