Media & speaking
I tell data stories about how work is changing
I publish data stories about management, career development, technology, and business on stages big and small, public and private. I've published my research in Fortune, Forbes, The New York Times, The Washington Post, Slate, Fast Company, and many more. I've also spoken at the world's most prominent business schools and computer science programs, keynoted at major industry events, done private talks for executives and teams, and offered private AI briefings to Congress.
These days, I'm most often telling stories about (1) AI, bias, and the future of work, and (2) Management and team building now and in the future. I tell stories weekly in the nerd processor newsletter, and sometimes I tell stories on other people’s stages. Below is a selection of my most highly cited work.
Trusted to transform workplaces
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"Kieran is one of the sharpest thinkers I know at the intersection of AI, workplace transformation, and fairness. Her work challenges conventional wisdom and drives real progress toward fairer, more effective organizations."
Joelle Emerson
Founder and CEO @Paradigm -
"Kieran’s research on workplace communication is rigorous, real, and actionable. It helps the reader understand where well-intended feedback goes wrong and how to build systems that truly support radical respect."
Kim Scott
Author, Radical Candor and Radical Respect: How to Work Together Better -
"I've worked with Kieran for many years. She has a rare combination of business acumen, insights about people drawn from deep experience, and drive. It is not often I meet leaders who are as committed to working in service of others as Kieran."
Carole Robin
Author of Connect: Building Exceptional Relationships with Friends, Family, and Colleagues
A selection of my work in the media
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1100 emails, a 90% response rate, and why people are ghosting you
I analyzed 1,100 of my sales messages to figure out which patterns get ghosted and which have a 90% response rate
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Here’s the proof that low-quality feedback is driving employee retention down
We analyzed 2 years of reviews for 13,000 workers. People getting low-quality feedback are 63% more likely to quit in the next 12 months.
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The abrasiveness trap: Men and women are described differently in reviews
Original text analytics research on gender bias in technology performance reviews. The paper that put "abrasive" on the scene.
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Who's getting interrupted? Not your boss!
The only way to get a word in if you're the one stuck on video while everyone else is in the same room? Being the boss.
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Top performers get the worst feedback
23,000 performance review show that high performers systematically receive the lowest quality feedback
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Stop giving personality feedback
Analysis of performance feedback received by more than 25,000 people shows significant bias by gender, race, and age
A selection of my public speaking
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ChatGPT and bias series
In this video series, I share data insights from my original research on ChatGPT and bias
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Radical Candor
I join Kim Scott to review my data about how meetings work in remote and in-person settings
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Bloomberg TV
I talk about language and bias at work on Bloomberg TV, sharing insights from Textio's research
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YC Female Founders Conference
Keynote at the Y Combinator Female Founders Conference and shared some of my Textio journey
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Data Driven NYC
Description goes This talk focuses on my work inventing Textio's core technology: Using AI to predict the performance of text. here
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Good Work with Barrett Brooks
I talk about my path from academia to tech, from tech to becoming a CEO, and what’s next
Get in touch
Workshop, speaking, and coaching applications. Data story ideas. Nerdy things you recommend I read. Feedback on my website, the nerd processor newsletter, and especially my comics. Leave a note below!