The participants you recruit for your study matter. Convenience sampling is fast and common in UX research. Learn how to do it effectively and avoid bias in your studies.
Looking at and visualizing your raw, primary data is not a waste of time, quite the contrary. In fact, it can be the highest value action and the biggest return on investment that you can do.
Learn when and why to use post-task and post-test questionnaires in quantitative usability testing – and how combining both can help you pinpoint issues and improve UX.
When creating screener surveys, use fake answer options – called foils – to spot misrecruits before they join your study. Learn how to craft foils that protect your data and catch cheaters early.
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.
