Case Studies

An end-to-end UX, Design, Data & AI-driven workflow

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.

Product Design Leadership Behavioural Analytics Heuristic & Journey Analysis Design Systems AI & MCP Tooling Change Management
Key Achievements

A snapshot of impact across the last programme cycle

7,405 agents

analysed across the core meter-read journey to pinpoint exactly where intent was being lost.

38–40% user base

of the active agent user base captured in the behavioural analysis sample — broad enough to trust the pattern.

Sole lead

ran an enterprise Digital Experience Intelligence rollout as a team of one, coordinating 10+ stakeholder functions.

20 squads

across the business in scope for the phased platform rollout and enablement programme.

6→1 initiatives

unified into one repeatable workflow: AI training, decision logs, two MCP connectors, CX journey analysis, a design-system build and a UX audit.

Team → function

established the foundations, process and tooling to mature business design into a scalable research & design practice.


Selected Work

Three case studies
Redesigned Collect Meter Read view
01 · Flagship

Ignition UX Audit

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.

7,405 agents analysed
NOW / NEXT quick vs strategic
2 prototyped concepts
Read case study
Tooling and enablement glossary
02 · Programme & Rollout

FullStory Programme

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.

Sole lead of the programme
10+ stakeholder functions
20 training guides
Read case study
Routes-first analysis
03 · Method

Meter Reads · MCP

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.

84.8% best-route completion
3 routes quantified
Qual→quant bridged
Read case study