4 studies active · Last updated June 2026

UX Researcher & CRO Specialist · Available now · UK / Remote

Every design decision
is a hypothesis.
Here's the evidence.

I help product and e-commerce teams find out why users drop off — then prove which fix actually works. Research, experimentation and analytics, run end to end.

Evidence · what the work produced Client figures are measured against live baselines. Exploratory studies are labelled and reported as research scope, never as claimed uplift.
Measured

↓11%

Drop-off reduced across key user journeys

GoToHealthcare · clientBehavioural drop-off data, pre vs post

Measured

68s → 22s

Time to understand the service

GoToHealthcare · clientModerated testing, 2 rounds, n=10

Measured

2.4 → 4.1

Trust rating, out of 5

GoToHealthcare · clientPost-task rating, identical tasks

Research scope

8

Participants across 2 cohorts

CeX · explorationThink-aloud interviews & affinity mapping

PUBLISHED STUDIES

Selected work

Four studies — one commissioned, three run on my own initiative. Each is labelled so you know what kind of evidence sits behind it.

All four studies →
Case Study · The Confidence Gap · GoToHealthcare Client

Reducing drop-off for users seeking social care

Every drop-off here is a person who didn't get help. An audit, analytics and two rounds of usability testing showed the problem was structural — users had intent, but no confidence or direction.

↓11%drop-off reduced
Hotjar
GA4
Figma
Miro
Every drop-off here is a person who didn't get help.Why the research was framed around confidence, not conversion
Read the research →

Chapter two

Different industries. One investigation.

That was a commissioned engagement, with analytics access and measured outcomes. What follows was run without any of that. The context changes completely — the way I interrogate it doesn't.

Behaviour×Context×Flow=Testable hypothesis
See the framework behind the work →
Case Study · The False Bottom · Samsung Exploration

Fixing a false bottom on a premium PDP

Behavioural benchmarks suggested most visitors never reach the persuasive material below the hero. Four isolated experiments, each with a defined win criterion, to test whether placement is the fix.

4isolated experiments designed
Figma
Sheets
Explore the experiment →
Case Study · The Trust Gap · CeX Exploration

Closing the trust gap on second-hand retail

Warranties, verification and return protection weren't visible at the point of decision. Eight participants across two cohorts showed where trust broke down — and where reassurance needed to move.

8participants · 2 cohorts
Figma
Dovetail
Maze
Sheets
See the investigation →
Case Study · The Laundry Companion · WiseLaundry In progress

Designing an AI companion that transforms everyday laundry

Helping people move from guesswork to confidence by turning one of the home's most overlooked appliances into a trusted AI-supported experience.

5connected flows prototyped
Figma
Maze
Dovetail
Research in progress · not yet published

Chapter three

Every answer begins with the right question.

Most of what I know about behaviour I learned outside a research lab — running communities, watching live audiences, and being wrong often enough to stop trusting my own assumptions.

"What does it feel like to be the person generating this data?"
Meet the researcher →

Chapter four

A case study explains the outcome. Never the conversation.

The trade-offs, the disagreements, the directions abandoned halfway — that's usually where the useful learning sits, and none of it fits on a page.

Usually my first question "Where are people leaving — and what were they trying to do?"

OPEN TO OPPORTUNITIES · UK / REMOTE

Got a drop-off you can't explain?

That's usually where I start. I'm open to consulting engagements, embedded product-team work, and senior UX research roles.