Analytics
Use digital performance data to uncover behavioural patterns, usage trends, and points of drop-off or success. Analytics helps surface the “what” of user behaviour, supporting prioritisation and refinement. It works best when paired with qualitative research to add context and explain the “why” behind the numbers.
When to Employ This Service
Use to understand how users behave in live environments — ideal for identifying drop-offs, usage patterns, or areas of interest for deeper research.
Outcomes & Benefits
Quantitative behavioural data shows where users succeed or struggle at scale. It supports prioritisation and highlights impact areas for UX improvement.
Evidence of real usage patterns and bottlenecks
Stronger justification for UX decisions and changes
Ability to measure improvements over time
Integration of UX insights into product KPIs
Approach
I review usage patterns, behavioural funnels, and interaction events to understand how users engage with digital products. Quantitative signals are paired with user intent for clearer insight.
Setup Review: Audit tagging and event-tracking implementations
Data Exploration: Identify trends, drop-offs, and anomalies
Correlation: Cross-reference with user journeys or support data
Reporting: Share actionable opportunities and visualisations
Typical Deliverables
Discover
Behavioural funnel visualisations
Pathway heatmaps and navigation reports
Define
Event tracking audits
Hypothesis-generating dashboards