What UX Consulting Clients Expect in the Age of AI

The Enduring Value of Strong Judgment in UX Consulting

One of the most surprising insights from the article is that clients are not just looking for AI fluency; they crave strong judgment from UX consultants. Many organizations already have access to AI tools, but they often struggle with how to use them effectively. For instance, when NN/G was approached by an enterprise client to evaluate an AI-powered recommendation feature, they discovered that different teams had varying criteria for decision-making. This inconsistency meant that introducing AI would likely complicate matters rather than improve them. Instead of rushing to implement AI, the recommendation was to first align teams on shared inputs and decision criteria. This highlights a critical point: clients value consultants who can slow down the process to ensure clarity and direction.

The Need for Evidence-Based Design Recommendations

Clients today are inundated with AI-generated options, which can make decision-making feel overwhelming. They don’t want to be presented with a buffet of choices; they want consultants who can synthesize user evidence into actionable recommendations. For example, a consumer organization tested AI-generated onboarding content, only to find that users struggled with the personalization. The research revealed that users needed a clear mental model before personalization could be effective. The takeaway? Personalization should be a secondary layer, not the foundation. Clients are looking for the nuanced judgment that only experienced UX professionals can provide.

Understanding and Respecting Real-World Constraints

AI tools often fail to grasp the complexities of real-world constraints, such as legal requirements, sensitive data, and organizational silos. Clients expect UX consultants to navigate these realities rather than ignore them. In one case, a healthcare organization wanted AI assistance for navigating complex policy information. However, the discovery phase revealed strict data-handling requirements and high risks associated with incorrect AI outputs. The recommendation focused on rule-based decision support rather than generative AI, emphasizing the need for solutions that respect the client's operational context.

The Importance of Rigorous Research and Thoughtful Interpretation

While AI can speed up certain aspects of UX research, clients remain wary of superficial insights. They value thoughtful research design and careful interpretation that reveals meaningful patterns. For instance, clients respond positively when consultants validate findings through human review and maintain transparency about the limitations of their insights. This careful approach builds trust and ensures that AI is used as a supportive tool rather than a shortcut.

Communicating Clearly and Avoiding Jargon

Finally, clients are increasingly sensitive to experiences that feel automated or generic. They appreciate consultants who can demystify complex concepts and advocate for intentional content structure. By pushing back against “good enough” AI outputs that lack detail, UX consultants can deliver experiences that feel thoughtful and well-designed. This focus on clarity and intentionality is crucial in a world where AI can sometimes lead to carelessness.

In summary, the article emphasizes that in the age of AI, being useful matters more than being impressive. Clients are looking for partners who can combine research rigor, good design judgment, and practical reality to help them make better decisions for their users.