Ability to communicate ideas

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Technology is now able to amplify existing design systems, which are essentially databases that models can reference. The same is true for design taxonomies and pattern libraries.


Currently, the method for interacting with AI is language-driven. Part of the designer’s job is to communicate their visions to stakeholders and gain alignment.

Think of a design review with the product managers and developers. Whether it occurs in person, in Figma, or via Slack, reviews are opportunities for designers to articulate what a given experience should be like and why. It’s a muscle they’ve already built. Designers are also adept at explaining their process.

They might show a design and state what assumptions they made while america phone number list creating it. Assumptions might include, for example, that French is a user’s first language for a regional feature. Or that users are over the age of 40 for a feature with larger text. This level of transparency and background detail can be useful to AI.

4. Human-centered design focuses on the user
A process that begins with user needs is known as human-centered design. It takes into account if an idea is desirable to users and how feasible it is to create. When done successfully, this creative problem solving can increase product adoption and customer satisfaction. Designers with this skill know that it begins with discovery. Asking the right questions can lead to building the right solution.

As large language models proliferate, it will be important for designers to help remind product teams to be human-centered.

Designers are assets
Connect with your AI engineer, leader or data scientist. Let them see you as an asset who can help them think more critically by asking questions such as.