Great research means nothing if the story doesn’t land. Learn how to structure a research readout that moves stakeholders to action, not just acknowledgment.
A clear guide to UX research democratization—definition, misconceptions, benefits, research ops, templates, training, tech, and AI best practices for scaling quality insights.
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.
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.
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.
