Stop Making Your Team Figure Out AI on Their Own

Making everyone figure out AI alone creates chaos and risk. Research and Design Operations teams must step up: analyze workflows, pilot tools, and support adoption systematically.


This content originally appeared on NN/g latest articles and announcements and was authored by Laura Klein

Summary: Making everyone figure out AI alone creates chaos and risk. Ops teams must step up: analyze workflows, pilot tools, and support adoption systematically.



If you work in research or design, chances are someone in leadership has asked you about AI lately. Maybe they've suggested you "explore" how ChatGPT could help with your work. Maybe they've mentioned that using AI tools will be part of your next performance review. Maybe they've forwarded you an article about how AI is revolutionizing UX research with a cheerful "Thoughts?"

Here's what's actually happening in most organizations: people are being told to use AI without being given any real guidance on how, why, or which problems it should solve. It's creating chaos, security risks, and collaboration problems.

The Performance-Review Problem

Let's start with the most immediate issue: teams are evaluated on their AI usage without clear definitions of what successful usage looks like .



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This content originally appeared on NN/g latest articles and announcements and was authored by Laura Klein


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Laura Klein | Sciencx (2025-10-31T17:00:00+00:00) Stop Making Your Team Figure Out AI on Their Own. Retrieved from https://www.scien.cx/2025/10/31/stop-making-your-team-figure-out-ai-on-their-own/

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" » Stop Making Your Team Figure Out AI on Their Own." Laura Klein | Sciencx - Friday October 31, 2025, https://www.scien.cx/2025/10/31/stop-making-your-team-figure-out-ai-on-their-own/
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" » Stop Making Your Team Figure Out AI on Their Own." Laura Klein | Sciencx [Online]. Available: https://www.scien.cx/2025/10/31/stop-making-your-team-figure-out-ai-on-their-own/. [Accessed: ]
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