Design AI Features Around Real User Problems

Adding AI to a product does not automatically make it useful. Nielsen Norman Group's study guide brings together articles and videos about designing AI features. Its main message is to start with a real user problem. Teams should understand what they want to help users do before choosing the technology. In 2021, Jakob Nielsen warned against investing too much in technology without understanding user needs. The guide applies this concern to decisions about AI.

AI can help with content creation, summarization, basic data analysis, and perspective taking. These are four abilities highlighted in the guide. But a useful ability still needs a clear purpose in a product. Small, focused AI features are easier to understand and have better user adoption. Teams should not add a chat interface simply because it is available. Users need a reason to choose a site's chatbot over its existing features.

People also need help explaining what they want from AI. Models cannot read minds, and users may not know what is possible. Useful prompt suggestions can show relevant tasks and set realistic expectations. These suggestions should fit the situation and the user's experience. Buttons, checkboxes, and other visual controls can help collect context. They reduce the need to type everything or remember all the details.

AI results should be clear and easy to scan on a screen. The guide recommends plain language and putting important information first. Summaries of product reviews work well when they are specific and transparent. Useful features also need to be noticed, as the guide's Rufus example shows. Chatbots should explain their abilities and quickly show what information they can see. They should give direct answers that users can expand when needed.

Trust and user control are also part of the design work. The guide includes recommendations about personal data, transparency, and familiar interaction patterns. Different workplace roles may need different explanations of the same result. Some resources describe earlier stages of AI, so their findings may have changed. Teams should read them in context while keeping real user value at the center.