A metric in user research is a quantifiable measure used to track, assess, and compare specific aspects of user behavior, performance, or satisfaction with a product or service.
Synonyms: User research measurement, UX metrics, Quantitative user data, User experience KPIs, User behavior indicators
Metrics play a crucial role in user research by providing objective, measurable data that helps researchers and stakeholders make informed decisions. They allow teams to:
Researchers employ metrics throughout the user research process to:
Some common metrics used in user research include:
What's the difference between qualitative and quantitative metrics in user research?: Quantitative metrics are numerical and measurable (e.g., task completion time), while qualitative metrics are descriptive and based on observations or user feedback (e.g., user satisfaction ratings).
How many metrics should I track in a user research study?: It's best to focus on a few key metrics that align with your research goals. Typically, 3-5 core metrics are sufficient to avoid data overload and maintain focus.
Can metrics be misleading in user research?: Yes, metrics can be misleading if taken out of context or if they don't accurately represent the user experience. It's important to combine metrics with qualitative insights for a comprehensive understanding.
How often should I measure user research metrics?: The frequency depends on your project needs, but it's common to measure metrics at key milestones, such as before and after major design changes, or on a regular schedule (e.g., quarterly) for ongoing projects.