Quantitative UX Research: Surveys and Metrics for Product Design

User experience decisions are most effective when supported by reliable numerical evidence. This text-based course guides you through the foundational principles of quantitative UX research, helping you collect, interpret, and present user data systematically. You will start with core terminology, standard usability metrics, and the fundamentals of data-driven user research before moving into practical methodologies. You will explore how to formulate testable hypotheses, design unbiased surveys, track key performance indicators, and interpret statistical findings to inform product strategy. What you'll learn: - Understand foundational UX research concepts, quantitative terminology, and research ethics - Formulate testable research questions and product hypotheses - Design structured surveys using validated question formats and rating scales - Apply standard UX metrics including System Usability Scale (SUS), CSAT, and task success rates - Analyze survey data using descriptive statistics to extract actionable user insights - Combine quantitative findings with qualitative data to guide product design decisions The material progresses logically from fundamental research theory to practical survey construction, metric evaluation, and insight synthesis through clear written explanations and real-world examples. This course is designed for aspiring UX researchers, product designers, and product managers who are new to quantitative research methods and require no prior statistical background. Start reading today to build confident, data-informed UX research skills.