Seven years working in regulated, global B2B SaaS — first at Roche in healthcare diagnostics, then at Clarivate in intellectual property. My work combines user research, product analytics, and close collaboration with engineering and product teams to make things that actually get used.
I ran 18 usability sessions from scratch and used them to define, fix, and spec a highlighting system for patent analysts. The centrepiece, the Mini Map, was named a must-have by every single participant. Three design changes were applied mid-study as the evidence came in.
A section of the product that had become a digital junk drawer: 14 file types mixed together, no project context, no search, seven sub-sections below 2% usage. We rebuilt it around how researchers actually think — by project, not by file type.
I identified a gap in how the team evaluated feature performance and built a scoring process to fill it, combining adoption rate, usage depth, and friction signals into a single quarterly report. It's a department-wide standard now.
I started in data, as a master data analyst at TD Synnex working in SAP, before moving into UX. That background still shapes how I approach design: I want to understand the numbers, not just the stories people tell in interviews.
At Roche, I worked on diagnostic workflows in a highly regulated environment. That taught me how to design for expert users who don't have time to tolerate bad interfaces. At Clarivate, I've been leading design and research for Derwent Innovation, Clarivate's flagship patent search product.
Outside of day-to-day design work, I've spoken at UX Brighton and UX Nordic, both on the challenge of building trust in AI-powered products, something I think about a lot.
Full résumé →Both talks came from real questions I was wrestling with at work: how do you build a product with AI at its core and still have users trust it enough to actually change their behaviour?
Senior UX Designer and Product Growth Strategist working in healthcare and intellectual property, regulated global B2B SaaS.
Senior UX Designer with seven years in regulated, global B2B SaaS, healthcare diagnostics at Roche and intellectual property at Clarivate. I combine user research with product analytics and cross-functional strategy to turn UX into a measurable growth lever. I've designed and tested AI-powered product features at scale, with a hands-on data practice using Pendo and SQL. I'm comfortable owning the full UX cycle: research, experimentation, data-driven iteration, and stakeholder alignment.
I identified a gap in how the department evaluated feature performance and built a process to address it, working with a product analyst to design a repeatable quarterly scoring framework from scratch. It covers feature adoption rate, usage depth, success rate, and friction signals, combined into a composite Feature Health Score. I also designed a 3×3 assessment matrix that categorises features as Core Assets, Growth Opportunities, Critical Quality Issues, or candidates for audit.
Designing calibrated trust in AI-powered patent search: transparency, adoption strategies, and converting sceptical enterprise users into confident adopters.
In AI We Trust… or Not: Building user trust in AI products, featuring Derwent Innovation and the Human-in-the-Loop design approach.