Discoverability of AI Features: Learn from Amazon’s Mistakes

Even AI features that offer value won’t be used if people don’t notice them. Consider existing mental models and design best practices to increase engagement.


This content originally appeared on NN/g latest articles and announcements and was authored by Kate Moran, Feifei Liu

Summary: Even AI features that offer value won’t be used if people don’t notice them. Consider existing mental models and design best practices to increase engagement.



The first step to delivering a successful AI feature in your product is to make sure it’s valuable to your users and business. ( Most AI features fail at step 1. ) But even valuable AI features will still fail if users don’t see them.

People Don’t Notice That AI Feature…

…Even if it’s right in front of them.

AI features (like all UI elements) are liable to be overlooked by users if they aren’t expected. And right now, as many sites and apps are adding their first AI features, their customers (even if fairly AI-savvy) don’t expect them.



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This content originally appeared on NN/g latest articles and announcements and was authored by Kate Moran, Feifei Liu


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Kate Moran, Feifei Liu | Sciencx (2025-03-21T17:00:00+00:00) Discoverability of AI Features: Learn from Amazon’s Mistakes. Retrieved from https://www.scien.cx/2025/03/21/discoverability-of-ai-features-learn-from-amazons-mistakes/

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" » Discoverability of AI Features: Learn from Amazon’s Mistakes." Kate Moran, Feifei Liu | Sciencx - Friday March 21, 2025, https://www.scien.cx/2025/03/21/discoverability-of-ai-features-learn-from-amazons-mistakes/
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" » Discoverability of AI Features: Learn from Amazon’s Mistakes." Kate Moran, Feifei Liu | Sciencx [Online]. Available: https://www.scien.cx/2025/03/21/discoverability-of-ai-features-learn-from-amazons-mistakes/. [Accessed: ]
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