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AI vs the feedback gap: making workplace feedback fairer, with Textio's Mykel Rangel

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Manage episode 469965791 series 3524841
Content provided by Tosin Sulaiman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tosin Sulaiman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Join the Made For Us community by signing up for our free newsletter: https://madeforuspodcast.beehiiv.com/

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How does bias show up in workplace feedback, and can AI help fix it?

In this episode, we speak with Mykel Rangel, VP of Engineering at Textio, a company that has built AI-driven tools that are reshaping the way managers give feedback and how recruiters craft job ads. We explore the hidden biases in performance reviews, how feedback impacts employee retention and pay, and what leaders can do to create more equitable workplaces.

We also cover:

  • Textio’s research on workplace feedback and what language can reveal about a company’s culture
  • Why women tend to get more personality-based feedback than men
  • How AI can help managers close the feedback gap
  • Strategies for evaluating AI tools for bias mitigation

Enjoyed what you heard? Pass it on to a friend - or tell the world with a 5-star review.

Missed last week's episode? Subtitles for real life? There's a pair of glasses for that

---

About Mykel Rangel

Mykel Rangel is the Vice President of Engineering at Textio, a company using artificial intelligence to help organisations create more inclusive, effective, and engaging written communication. Starting off as a tech writer, Mykel transitioned into software before joining Textio.

Learn more about Textio: https://textio.com

Follow Mykel on LinkedIn: https://www.linkedin.com/in/mykel-rangel-18963322/

Read the report on bias in performance feedback: https://textio.com/feedback-bias-2024

---

Connect with Made for Us


  continue reading

44 episodes

Artwork
iconShare
 
Manage episode 469965791 series 3524841
Content provided by Tosin Sulaiman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tosin Sulaiman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Join the Made For Us community by signing up for our free newsletter: https://madeforuspodcast.beehiiv.com/

---

How does bias show up in workplace feedback, and can AI help fix it?

In this episode, we speak with Mykel Rangel, VP of Engineering at Textio, a company that has built AI-driven tools that are reshaping the way managers give feedback and how recruiters craft job ads. We explore the hidden biases in performance reviews, how feedback impacts employee retention and pay, and what leaders can do to create more equitable workplaces.

We also cover:

  • Textio’s research on workplace feedback and what language can reveal about a company’s culture
  • Why women tend to get more personality-based feedback than men
  • How AI can help managers close the feedback gap
  • Strategies for evaluating AI tools for bias mitigation

Enjoyed what you heard? Pass it on to a friend - or tell the world with a 5-star review.

Missed last week's episode? Subtitles for real life? There's a pair of glasses for that

---

About Mykel Rangel

Mykel Rangel is the Vice President of Engineering at Textio, a company using artificial intelligence to help organisations create more inclusive, effective, and engaging written communication. Starting off as a tech writer, Mykel transitioned into software before joining Textio.

Learn more about Textio: https://textio.com

Follow Mykel on LinkedIn: https://www.linkedin.com/in/mykel-rangel-18963322/

Read the report on bias in performance feedback: https://textio.com/feedback-bias-2024

---

Connect with Made for Us


  continue reading

44 episodes

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