The endowment effect explains why users value things more once they feel ownership. In UX, we can design for this effect to increase engagement and user retention.
The common knowledge effect is when teams favor shared info over unique insights, risking UX input. Use 7 tactics to ensure better decisions and boost your impact on projects.
Serial task switching, or rapidly shifting attention between tasks, is a natural user behavior that lowers productivity and increases stress and the chance of errors.
The Hawthorne effect is a phenomenon where people change their behavior because they know they are being observed. Here are 5 guidelines for mitigating the Hawthorne effect in user research.
Explore the difference between attitudinal and behavioral UX research. Learn how combining these methods offers a complete view of user interactions and perceptions.
The easier designs are to use, the less users tend to think about the work that went into making them that way. We know good designs are largely the result of your careful efforts — thank you.
The Zeigarnik effect suggests that unfinished tasks are more memorable than completed ones. In UX design, we can leverage this effect to encourage user engagement and task completion.
A Flow State is an enjoyable mental state of extreme focus provided by the perfect balance of challenge and skill. Follow our 3 tips to design products that allow users to enter the flow state.
Use this versatile GUI tool to support users when they need to make a decision that involves considering multiple attributes of a small number of items.
Users are more tolerant of minor usability issues when they find an interface visually appealing. This aesthetic-usability effect can mask UI problems during usability testing. Identify instances of the aesthetic-usability effect in your user research by watching what your users do, as well as listening to what they say.
What users believe they know about a user interface impacts how they use it. Mismatched mental models are common, especially with designs that try something new.
Recalling items from scratch is harder than recognizing the correct option in a list of choices because the extra context helps users retrieve information from memory.
Large language models like ChatGPT can lie to elicit approval from users. This phenomenon, called sycophancy, can be detected in state-of-the-art models.
