I’m a UX & Product Design Lead who pairs qualitative and quantitative signal to inform design — and builds the tooling, process and team foundations that let a design function scale. These three case studies show that end-to-end: from a team of one to a maturing research & design practice.
analysed across the core meter-read journey to pinpoint exactly where intent was being lost.
of the active agent user base captured in the behavioural analysis sample — broad enough to trust the pattern.
ran an enterprise Digital Experience Intelligence rollout as a team of one, coordinating 10+ stakeholder functions.
across the business in scope for the phased platform rollout and enablement programme.
unified into one repeatable workflow: AI training, decision logs, two MCP connectors, CX journey analysis, a design-system build and a UX audit.
established the foundations, process and tooling to mature business design into a scalable research & design practice.

How AI tooling, live MCP connectors, behavioural data and design-system awareness came together to surface — and prototype — UX wins for a high-traffic agent task UI.

Leading an enterprise Digital Experience Intelligence platform onto a live B2B product — governance, enablement and rollout — as the sole design lead across a cross-functional stakeholder map.
A routes-first method that lets AI read the real journeys from session data before quantifying them — turning a guessed funnel into an audited, defensible bottleneck.