Scope in Generative AI Features

When designing AI product features, scope shapes key decisions. Research shows that focused AI features lead to better user understanding and adoption.


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

Summary: When designing AI product features, scope shapes key decisions. Research shows that focused AI features lead to better new user understanding and adoption.



When designing an AI feature, its scope (how broad or narrow its capabilities are) influences its usability. Our research shows that narrower AI features are (typically) easier for new users to understand and adopt. This article compares broad AI systems like ChatGPT with narrow AI tools like Spotify’s playlist generator, exploring how scope impacts design.

Defining AI Scope

Before beginning to design a UI for any user-facing AI-powered feature, teams should answer these 4 strategic questions:

If, after these considerations, an AI solution still seems the best course of action, the next aspect to consider is the feature’s scope. Scope is a useful way to categorize interactive, user-facing AI features or products — in other words, how broad or narrow the AI system’s capabilities are.



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


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Kate Moran | Sciencx (2025-02-28T18:00:00+00:00) Scope in Generative AI Features. Retrieved from https://www.scien.cx/2025/02/28/scope-in-generative-ai-features/

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