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Using AI to streamline and elevate UX research with Google's Alita Kendrick

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Manage episode 484890340 series 3400520
Content provided by UserTesting. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UserTesting 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://ppacc.player.fm/legal.

Episode web page: https://bit.ly/4370dIB

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Got a question? Want to recommend a guest? Or do you want to tell me how the show can be better?

Send me a voice message via email at [email protected]

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In this episode of Insights Unlocked, we’re joined by Alita Kendrick, a UX researcher at Google leading accessibility research for the Google Cloud Platform and exploring new market opportunities. Alita discusses how generative AI is revolutionizing UX workflows—from streamlining planning docs to accelerating qualitative data analysis.

Host Michael Domanic and Alita dive into how tools like Gemini, ChatGPT, and UserTesting’s AI features are cutting research time in half and giving researchers back the space to focus on strategy, storytelling, and democratizing insights across organizations. Alita also shares real-world use cases, common pitfalls to avoid when starting with AI, and how AI can even help uncover your own unconscious biases.

Whether you’re a seasoned UX researcher or just starting to integrate AI into your work, this episode is packed with practical advice, inspiration, and a look at what the future holds for AI-powered research.

Key topics discussed:

  • How Alita uses AI throughout the research lifecycle—from planning to analysis

  • Time savings and operational efficiencies achieved through AI tools

  • Creative tools like NotebookLM, Claude, and Midjourney in UX workflows

  • How to prompt AI effectively and avoid common early mistakes

  • Balancing AI outputs with critical thinking and business context

  • The role of AI in democratizing research and surfacing legacy insights

  • Personal reflections on AI adoption, experimentation, and optimism for its future

Resources & Links:

  continue reading

179 episodes

Artwork
iconShare
 
Manage episode 484890340 series 3400520
Content provided by UserTesting. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UserTesting 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://ppacc.player.fm/legal.

Episode web page: https://bit.ly/4370dIB

-----------------------

Got a question? Want to recommend a guest? Or do you want to tell me how the show can be better?

Send me a voice message via email at [email protected]

-----------------------

In this episode of Insights Unlocked, we’re joined by Alita Kendrick, a UX researcher at Google leading accessibility research for the Google Cloud Platform and exploring new market opportunities. Alita discusses how generative AI is revolutionizing UX workflows—from streamlining planning docs to accelerating qualitative data analysis.

Host Michael Domanic and Alita dive into how tools like Gemini, ChatGPT, and UserTesting’s AI features are cutting research time in half and giving researchers back the space to focus on strategy, storytelling, and democratizing insights across organizations. Alita also shares real-world use cases, common pitfalls to avoid when starting with AI, and how AI can even help uncover your own unconscious biases.

Whether you’re a seasoned UX researcher or just starting to integrate AI into your work, this episode is packed with practical advice, inspiration, and a look at what the future holds for AI-powered research.

Key topics discussed:

  • How Alita uses AI throughout the research lifecycle—from planning to analysis

  • Time savings and operational efficiencies achieved through AI tools

  • Creative tools like NotebookLM, Claude, and Midjourney in UX workflows

  • How to prompt AI effectively and avoid common early mistakes

  • Balancing AI outputs with critical thinking and business context

  • The role of AI in democratizing research and surfacing legacy insights

  • Personal reflections on AI adoption, experimentation, and optimism for its future

Resources & Links:

  continue reading

179 episodes

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