"UX designers frequently work in ambiguous spaces, most notably the discovery phase. We collaborate closely with product managers to identify new problems, understand users' goals and frustrations, and strategically develop solutions to address their needs. However, the best solutions aren't always straightforward, and with AI being embedded in every new product and feature, it makes things a bit more challenging. Just as we get comfortable using AI, something changes or evolves. This makes AI features unpredictable and difficult to document requirements for."
"Traditional product requirements documents (PRDs) outline the intended purpose, functionality, and behavior of a product, serving as a guideline for development teams and stakeholders. However, the ambiguity with AI's behavior can create misalignment across the team and potentially a disastrous outcome. To mitigate this risk, designers should adopt an iterative approach using prompt sets to define exactly how AI should behave and respond across different scenarios."
UX design work often occurs in ambiguous discovery phases, made more complex by AI's unpredictable behavior. Traditional PRDs can fail to capture AI variability, causing team misalignment and risky outcomes. Designers should use iterative prompt sets as interactive requirements that define AI responses across scenarios, enabling consistent brand tone, trustworthiness, and user value. Prompt-set prototypes reveal effective behaviors faster than documents and support early testing to align design, product, and engineering. Designers are well positioned to own prompt sets analogous to design files, while engineers and PMs focus on feasibility and business rules.
Read at LogRocket Blog
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