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Stop writing PRDs for AI — start using prompt sets instead

Blog post from LogRocket

Post Details
Company
Date Published
Author
Eric Chung
Word Count
2,087
Company Posts That Month
47
Language
-
Hacker News Points
-
Post removed?
No
Summary

UX designers face challenges in the discovery phase, particularly with AI integration, as its unpredictable nature complicates documentation and alignment within teams. Traditional product requirements documents (PRDs) may not suffice due to AI's ambiguity, so designers are encouraged to use prompt sets, which are collections of curated prompts with expected responses to define AI behavior in specific scenarios. These prompt sets act as both design specs and test cases, enabling faster iteration and collaboration across design, product, and engineering teams. By providing concrete examples, prompt sets help reduce misalignment and allow for early testing, ensuring that AI features align with brand tone, user interactions, and deliver genuine value. They serve as a shared, version-controlled library that fosters cross-functional collaboration and continuous improvement, ultimately leading to a consistent and high-quality user experience. By treating prompt sets as a prototyping tool, teams can validate AI behavior, refine user experiences, and measure success with clear UX metrics, thereby enhancing clarity, alignment, and efficiency in the design and development process.

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