When choosing your sample size for a qualitative research study, consider these three factors: the diversity of your target group, your research scope, and the researcher’s skill level.
Explore the difference between attitudinal and behavioral UX research. Learn how combining these methods offers a complete view of user interactions and perceptions.
Common UX metrics can be grouped into three types: continuous, discrete, and binary. Continuous metrics occur on a smooth spectrum, like time. Discrete metrics have regular intervals between them, such as satisfaction score. Binary metrics have two possible values, like pass or fail.
Well-written screeners ensure that your study participants are appropriate for your research goals, improve data quality, save resources, and reduce bias.
Competitive usability evaluations help you understand how your competitors solve certain design problems and how you might outperform them. These evaluations are often performed at the beginning of design projects to shift their direction toward areas of opportunity.
By coding qualitative data, we can see trends and patterns, which helps us find themes. For an efficient process, create some starter codes, start broad, and use short, clear labels.
A minimum viable product (MVP) is a reasonable representation of your product that maximizes feedback on your core value proposition. It doesn’t need to be release one, but can be a simple experiment.
A SWOT Analysis is a framework to analyze the position of a company or product experience relative to others in the market. Its four quadrants offer prompts to help teams identify specific factors that may impact their success.
Researchers often want to ask about sensitive topics in surveys and screeners. Handle them appropriately and delicately to avoid dropoffs and inaccurate data.
There is more than one way to conduct a competitive evaluation. This video describes the difference between a competitive review and competitive research.
Explore 15 user research methods beyond usability testing. We describe 5 scenarios where these methods offer a broad spectrum of insights for a better understanding of users.
By first working independently on a problem and then converging to share insights, teams can leverage the benefits of both work styles, leading to rapid data analysis, diverse ideas, and high-quality designs.
