Customer Experience Metrics: Analytics & ROI

Customer Experience Metrics: Analytics & ROICustomer experience (CX) metrics can tell an organisation how customers rate an interaction. But satisfaction scores alone do not explain whether an improvement affects customer behaviour, retention or business performance.The challenge is not simply collecting more metrics. It is selecting meaningful measures, understanding how they relate to one another and evaluating whether changes in customer experience are associated with better business outcomes.This course explores practical approaches to measuring customer experience and connecting CX performance with business impact.What will you learn?Understand why CX metrics often failExplore why commonly used measures such as Net Promoter Score (NPS) and Customer Satisfaction (CSAT) may provide an incomplete picture of customer experience and business performance.Build a structured measurement approachLearn how the CX Metrics Pyramid can help connect experience measures with customer behaviour and broader business outcomes, creating a more coherent approach to measurement.Estimate the business impact of CX improvementsExamine how to estimate the potential financial implications of customer experience initiatives and relate improvements to outcomes that matter to the business.Design useful CX dashboardsExplore how to structure a customer experience performance dashboard around meaningful measures, helping stakeholders interpret results and make more informed decisions.Evaluate evidence and causalityUnderstand the distinction between correlation and causation, and why demonstrating that an initiative caused an improvement requires more than observing that two measures changed together.Who is this course for?This course is designed for CX professionals, UX researchers, product managers, customer insights specialists, marketing professionals, business analysts and consultants who want to make customer experience measurement more meaningful and business-relevant.You do not need to be a data scientist or have advanced technical skills to follow the core concepts.What will you take away?By the end of the course, you will have a clearer framework for selecting CX metrics, relating them to customer behaviour and business outcomes, structuring dashboards, and evaluating claims about the impact of customer experience initiatives.The objective is not to measure everything. It is to understand which measures matter, what they can tell you, and how to interpret the evidence responsibly.Course AuthorAlex Amoroso, PhDSenior UX Researcher | Research, Product & Learning DesignAlex Amoroso is a researcher, educator, and course designer with more than 10 years of professional experience in UX and product research, behavioural research, and complex problem-solving, alongside extensive experience in professional and academic education.Her work focuses on a simple question: what is actually going on, what evidence do we have, and what should we do with it?Across research, product, and organisational environments, she has worked on complex problems involving user behaviour, digital products, analytics, customer experience, decision-making, and innovation. Her research has included studies with thousands of users across B2B and B2C environments, combining qualitative and quantitative methods to investigate problems, challenge assumptions, interpret evidence, and support better decisions.Alongside her professional research work, Alex teaches doctoral-level research design and methodologies, supervises and assesses research projects, and has developed approximately 30 online courses across research, UX, product, data, analytics, customer experience, business, and decision-making. Selected courses are also available through Udemy Business.Her approach to teaching is practical and structured: clarify the subject, organise the thinking, distinguish evidence from assumption, and turn complex information into knowledge that can be applied.She holds a PhD in Health Anthropology, with research focused on human behaviour, environmental stress, and quantitative data analysis, and has published research in peer-reviewed journals.Across her courses, she combines:Research-based thinkingPractical frameworks and methodsReal-world examples and applicationsClear explanations of complex subjectsExercises, tools, and techniques that support practical learningHer goal is simple: to help learners understand complex subjects, think more clearly, and apply what they learn in real professional situations.