I started in UX design and front-end development, grew into research, and found my home leading product and experimentation. That journey means I think in user needs, speak in hypotheses, and ship in sprints.
Over 7+ years I've conducted 160+ customer interviews, built research repositories from scratch, introduced company-wide UX benchmarks, delivered experiments generating 12% conversion uplift, and shipped a GenAI conversational assistant all while leading cross-functional teams across B2B SaaS, fintech, and high-traffic consumer platforms.
I'm at my best in ambiguous problem spaces where nobody has the answer yet. Based in Malta, open to remote.
Hands-on operator who ships fast and measures real usage. Uses AI daily to accelerate prototyping and analysis. Experienced in leading cross-functional teams and driving user activation, engagement, and organic growth through workflow optimization and rapid A/B testing.
MSc in Information Studies (Human-Centered Multimedia) from University of Amsterdam. Published researcher (UX Collective). TNW T500 Talent Under 25 (2017, 2018). PSM I Certified.
Owned the full experimentation cycle across 6 flagship sites serving 2.5M MAU — from hypothesis to analysis.
Designed, built, and analysed A/B and multivariate tests end-to-end across 3 verticals. Implemented custom JS/CSS experiments for exit popups and dynamic conversion flows. Delivered 10+ experiments including one generating a 12% relative uplift in clickout conversion.
Built the company-wide experimentation framework — playbooks, templates, guardrails, and PM training on VWO.
Created an end-to-end experiment process covering ideation, hypothesis framing, test setup, QA, monitoring, evaluation, and knowledge sharing. Established statistical rigor guardrails and test collision prevention. Trained Product Managers on VWO and promoted a shared test-and-learn culture across teams.
Led product development for 99Bitcoins, shipping interactive courses, data widgets, and a new shortcode system.
Shipped 3 major product releases (v1.5.6 → v1.6.3): interactive Learn Crypto courses with modules and quizzes, Coin Table V3 with custom CoinGecko categories, Bitcoin Hashrate & Gas Fee trackers, Bitcoin Dominance Pro, Fear & Greed indicator updates, and an automatic Deadcoins solution.
Managed the product discovery backlog for Cryptonews — prioritising ideas from stakeholders and running A/B tests.
Collected and prioritised ideas across landing page redesigns, live articles, interlinking widgets, email subscription flows, price trackers, sortable tables, and an Academy learning hub. Ran A/B tests on sortable tables and CTA variations. Proposed innovations including AI-Powered Sentiment Analysis and Crypto Glossary.
Designed a centralised data layer replacing fragmented API calls across crypto sites — powering all data widgets at scale.
Shipped a shared Data Aggregator that now powers coin tables, price charts, Fear & Greed widgets, and more. Reduced API calls and rate limit risks, improved cache reuse, ensured consistent UX, and enabled fallback-ready multi-API support. Future-proofed data infrastructure for faster widget development.
Led delivery of a GenAI conversational assistant for contextual content discovery and personalised offers.
Led delivery of a GenAI conversational assistant using N8N + LLM integration for contextual content discovery. Managed requirements and technical implementation with the Head of Automation, delivering a production-ready prototype with real-time data retrieval to surface personalised offers to end users.
Owned end-to-end discovery for high-traffic SEO-driven platforms using mixed-methods research and post-launch validation.
Framed ambiguous stakeholder questions into testable research hypotheses and decision boundaries. Combined qualitative insights with GA4 behavioural data and session recordings to identify friction points. Used A/B testing and behavioural signals to validate insights post-launch and inform iteration.
Built custom GA4 dashboards to measure product success, track behaviour, and surface optimisation opportunities across 6 platforms.
Built custom dashboards and reports in GA4 to measure product KPIs, track user behaviour, and guide cross-functional decisions. Combined qualitative insights with quantitative signals to identify friction points and prioritise optimisation opportunities across 6 flagship sites.
Built a reusable research knowledge base and synthesised 100+ insights into 15 foundational themes using Opportunity Solution Trees.
Established a reusable research knowledge base to prevent repeated discovery, improve insight reuse, and ensure continuity between discovery, delivery, and validation. Synthesised qualitative findings into Opportunity Solution Trees, clustering 100+ insights into 15 foundational themes used to support build/adapt/kill decisions tied to OKRs.
Presented the Octalysis gamification framework at an internal UX Jam, exploring how gamification principles apply to B2B products.
Delivered a knowledge-sharing presentation at an internal UX Jam session, introducing the Octalysis framework and exploring how gamification principles can be applied to complex B2B enterprise products to drive engagement and workflow adoption.
Introduced UMUX-Lite as the company-wide UX benchmark, replacing inconsistent NPS and presenting results to shareholders.
Introduced UMUX-Lite as the standardised benchmark for customer satisfaction and perceived usefulness, replacing inconsistent NPS usage. Defined the framework, pitched it to stakeholders, drove company-wide adoption, and presented results to shareholders as the reporting standard for user satisfaction.
Built an AI agent powered by OpenAI that lets anyone — PMs, developers, account managers — query research findings by client or topic.
Co-built an AI agent (OpenAI) as part of an innovation initiative that pulls from the research repository to answer natural language questions — e.g. "What are Agrotrade's biggest UX problems?" or "What is the most common pain point with our system?" Designed to make research accessible to developers, PMs, account managers, and commercial teams working with enterprise clients.
Led 7 large-scale research initiatives across 7 global B2B markets, conducting 80 enterprise interviews to inform roadmap decisions.
Mapped end-to-end workflows for 6 distinct user groups (shippers, buyers, operators) across 7 markets. Conducted 80 in-depth interviews to surface workflow gaps, directly informing roadmap decisions including the CircleOut document resolution tool and OCR/AI scanning requirements for document automation. Reached 90% confidence in validated workflows.
Built a central research repository from scratch using Airtable, improving research accessibility by 80%.
Built and operationalised a central research repository from scratch using Airtable. Improved documentation, discoverability, and insight reuse across product, design, and delivery teams — achieving 80% improvement in research accessibility and significantly reducing duplicated discovery work.
Developed 6 data-informed personas by triangulating qualitative insights with quantitative behavioural data.
Created 6 detailed personas by triangulating interview and usability test insights with quantitative behavioural data. Used for segmentation, targeted product decisions, and evidence-based prioritisation across product teams.
Redesigned the UX research recruitment flow, reducing lead time by 25% and growing the user panel from 0 to 100.
Redesigned the research recruitment workflow to reduce lead time by 25%, enabling faster insight cycles. Built the user research panel from zero to 100 participants and growing, supporting ongoing usability testing, interviews, and experimentation across B2C products.
Led 60+ research activities — interviews, usability tests, surveys, and behavioural analysis — collecting 300+ unique feedback items.
Led 60+ research activities including interviews, usability tests, surveys, and behavioural analysis across B2C digital products. Conducted 100+ sessions and collected 300+ unique feedback items. Structured outputs to support hypothesis framing and ensure findings translated into testable ideas.
Led UX research and design for the Piket on-call scheduling app for ABN AMRO employees.
Led UX research and design for Piket, an internal on-call scheduling application for ABN AMRO employees. Conducted usability testing, created prototypes, and delivered components aligned with the corporate design system.
Designed the Warm Welkom App for ABN AMRO bank branches — a full case study with interactive Figma prototype.
Led research and design for the Warm Welkom App, improving the welcome and onboarding experience at ABN AMRO bank branches. View case study →
Led UX research and design for ABN AMRO's internal Sustainability App — with interactive Figma prototype.
Led UX research and design for ABN AMRO's internal Sustainability App. Conducted concept and usability testing with 30+ employees, facilitated Design Thinking workshops, and created high-fidelity prototypes. View case study →
Published article on UX Collective exploring how personalisation affects chatbot user experience.
Published research article on UX Collective (2020) based on MSc research at the University of Amsterdam. Explores how personalisation affects the user experience of chatbots — demonstrating expertise in conversational UX, research methodology, and thought leadership. Read article →
Identified 10 UX improvements for a fintech MVP that helped startups qualify for Scaleup Certification.
Identified 10 UX improvement opportunities for a fintech MVP at Blue Harvest (via Capgemini) designed to intake startups for Scaleup Certification. Collaborated with an international team of 5 across 2 time zones. Built 10 reusable Angular components through self-study.