Test your site’s visual design using these 6 methods: 5-second test, first-click test, preference testing, visual design questions after usability testing, eyetracking, and A/B testing.
In UX surveys, semantic differential scales help measure user attitudes with nuance. This video covers what they are, their pros and cons, and how to write clear, balanced adjective pairs for UX research studies.
Want the numbers and the stories behind them? Mixed-methods research combines qualitative and quantitative data to give you a clearer, fuller picture of the user experience.
AI-simulated users can fill in missing data and predict population-level trends. They perform better when they are based on extensive contextual information.
Preference testing is a tool to evaluate multiple design variations, helping you make informed decisions that align with your brand and resonate with your audience.
Likert scales measure user opinions by asking participants to rate statements. They capture nuanced feedback but can face biases. To improve accuracy, use clear questions and techniques to reduce bias.
Learn how to identify unimodal, bimodal, and multimodal data distributions. Understanding these patterns can reveal crucial insights into user behavior and help you design better experiences.
Use inclusive language for demographic questions. Ask about gender with multiple options, use ranges for age and income, differentiate race and ethnicity, and prioritize respectful, person-first language for disabilities.
Convenience sampling is quick and cost-effective for UX research, but probability sampling is better when you need representative and generalizable data.
Surveys are great for gathering quantitative, self-reported data but shouldn't replace behavioral methods like usability testing, qualitative interviews, or data you already have through analytics.
Test your survey with three methods: Cognitive Walkthroughs check question clarity with target users, Mechanical Tests ensure software functions like skip logic, and Usability Tests observe real user interaction.
Pair qualitative methods with quantitative metrics like the System Usability Scale (SUS) for benchmarking and the Single Ease Question (SEQ) for task-level insights. Use both carefully with qualitative data.
There are five steps to run the Wizard of Oz Method, a moderated research method in which a user interacts with an interface that appears to be automated but is actually controlled to some degree by a person.