About the Course
UX Metrics & Analytics is an advanced programme designed to strengthen organisational capability in measuring, analysing, and optimising user experience performance.
Effective UX strategy requires more than design intuition; it demands disciplined measurement and data-driven insight. This course equips participants with structured approaches to defining meaningful UX metrics, interpreting behavioural data, and linking experience performance to business outcomes.
The programme integrates analytics frameworks, performance dashboards, and evidence-based decision-making to support continuous experience improvement.
Course Benefits
- - Define meaningful UX and experience performance metrics
- Link user behaviour data to business objectives
- Strengthen evidence-based design decisions
- Improve dashboard and reporting clarity
- Enhance confidence in data-driven optimisation
Course Duration
5 Days (6 hours per day)
Who Is This Course For?
- - UX designers and researchers
- Product managers and digital leaders
- Customer experience professionals
- Marketing and analytics teams
- Strategy and transformation leaders
Course Delivery
- - Analytics workshops and metric design exercises
- Dashboard and reporting simulations
- Case-based experience data analysis
- Performance interpretation frameworks
- Applied exercises using real-world UX scenarios
Course Content
Day 1: Foundations of UX Measurement
- - Understanding the role of metrics in UX strategy.
- Distinguishing usability, engagement, and conversion metrics.
- Aligning UX indicators with business objectives.
- Avoiding vanity metrics and misaligned reporting.
Day 2: Behavioural Data & Experience Insight
- - Analysing user behaviour across digital touchpoints.
- Interpreting journey analytics and interaction patterns.
- Identifying friction and drop-off points.
- Linking behavioural data to improvement opportunities.
Day 3: Designing UX Dashboards & KPIs
- - Defining KPIs aligned with strategic priorities.
- Designing dashboards for executive and operational visibility.
- Integrating qualitative and quantitative metrics.
- Strengthening accountability in experience reporting.
Day 4: Experimentation & Optimisation
- - Designing structured A/B testing and experiments.
- Evaluating statistical significance and decision thresholds.
- Iterating design based on performance insights.
- Balancing experimentation speed with governance.
Day 5: Embedding Analytics into UX Culture
- - Integrating analytics into product and service design processes.
- Aligning cross-functional teams around shared metrics.
- Communicating performance insights to leadership.
- Building sustainable analytics capability within UX teams.
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