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139 / User Experience Research: AI’s New Frontier, with John Haggerty & Prerna Singh

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Contenu fourni par ITX Corp.. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par ITX Corp. ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Back in episode 132 of Product Momentum, Janna Bastow talked about using AI tools to do much of the “grunt work” product managers and UX researchers do so that they can spend more time on the higher-value work that’s actually helping to transform product building. In this episode, John Haggerty and Prerna Singh go a bit deeper explaining how AIs can expedite – and simplify – those mundane, repetitive tasks to analyze qualitative data compiled from reams of user experience research.

John and Prerna will conduct a pair of workshops at the ITX Product + Design Conference, in Rochester, NY on June 27-28.

Leveraging AI for Customer Research

John’s workshop will include a comprehensive overview of AI applications in product management, covering key topics like product feedback analysis, churn prediction and retention, risk assessment, competitive intelligence, etc. “AI is really good at doing things like sentiment analysis, topic modeling, named entity recognition,” he says. But it can be a lot to take in. “The best, fastest way to get familiar with AI is to just play with it. Just have fun, go out and use it, whatever it is.”

Embracing the Data We Already Have

Prerna’s workshop in Rochester will help attendees understand the data we already have — and how might we leverage it to make better customer decisions. Gathering customer research doesn’t need to be some extensive, intensive effort, she says, “but is really something that we should be doing on a continuous basis to make higher quality decisions.”

Bias, Ethics, and AI

Both John and Prerna stress the importance of understanding AI biases, ethics by design, and ensuring equity in training data. They also highlight the significance of “preserving human elements in user research,” such as non-verbal cues and emotional feedback, to maintain genuine human connections.

Be sure to catch the entire episode to grab a few tips from John Haggerty about AI prompt engineering, and learn why Prerna Singh believes humans are becoming more comfortable responding to an AI researcher than to another person — and the new frontier of opportunity this creates. You can also watch our episode with John Haggerty and Prerna Singh on the Product Momentum YouTube Channel!

The post 139 / User Experience Research: AI’s New Frontier, with John Haggerty & Prerna Singh appeared first on ITX Corp..

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152 episodes

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iconPartager
 
Manage episode 422139700 series 3306924
Contenu fourni par ITX Corp.. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par ITX Corp. ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Back in episode 132 of Product Momentum, Janna Bastow talked about using AI tools to do much of the “grunt work” product managers and UX researchers do so that they can spend more time on the higher-value work that’s actually helping to transform product building. In this episode, John Haggerty and Prerna Singh go a bit deeper explaining how AIs can expedite – and simplify – those mundane, repetitive tasks to analyze qualitative data compiled from reams of user experience research.

John and Prerna will conduct a pair of workshops at the ITX Product + Design Conference, in Rochester, NY on June 27-28.

Leveraging AI for Customer Research

John’s workshop will include a comprehensive overview of AI applications in product management, covering key topics like product feedback analysis, churn prediction and retention, risk assessment, competitive intelligence, etc. “AI is really good at doing things like sentiment analysis, topic modeling, named entity recognition,” he says. But it can be a lot to take in. “The best, fastest way to get familiar with AI is to just play with it. Just have fun, go out and use it, whatever it is.”

Embracing the Data We Already Have

Prerna’s workshop in Rochester will help attendees understand the data we already have — and how might we leverage it to make better customer decisions. Gathering customer research doesn’t need to be some extensive, intensive effort, she says, “but is really something that we should be doing on a continuous basis to make higher quality decisions.”

Bias, Ethics, and AI

Both John and Prerna stress the importance of understanding AI biases, ethics by design, and ensuring equity in training data. They also highlight the significance of “preserving human elements in user research,” such as non-verbal cues and emotional feedback, to maintain genuine human connections.

Be sure to catch the entire episode to grab a few tips from John Haggerty about AI prompt engineering, and learn why Prerna Singh believes humans are becoming more comfortable responding to an AI researcher than to another person — and the new frontier of opportunity this creates. You can also watch our episode with John Haggerty and Prerna Singh on the Product Momentum YouTube Channel!

The post 139 / User Experience Research: AI’s New Frontier, with John Haggerty & Prerna Singh appeared first on ITX Corp..

  continue reading

152 episodes

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