End‑to‑end UX Research
Discovery → evaluative → iterative. Hypothesis‑led, evidence‑driven, outcome‑focused.
UX Researcher, Mentor, Leader
From social impact to AI and investment banking- I’ve built a career around understanding what moves humans, and how that shapes what we build next.
Strategic discovery & validation
In sophisticated financial environments, individuals balance a strong desire for autonomy with the need for reassurance at key decision moments. Experiences must support confidence without undermining control.
Understand when guidance meaningfully supports decision-making, when it introduces friction, and how digital experiences can adapt to different confidence and risk states.
I led end-to-end discovery and evaluative research across complex digital advice and investment journeys. This included moderated sessions spanning early consideration through active engagement, focusing on behavioural drivers such as confidence calibration, trust formation, and perceived risk.
The research examined how advice cues, language, and prompts influence decision momentum across different journey contexts.
Insights informed experience strategy and prioritisation, helping teams introduce guidance where it strengthens decision confidence — and step back where autonomy is preferred.
Mental models, risk, and reassurance
Digital investing tools often assume rational behaviour, yet emotional confidence plays a decisive role in how people act.
Understand how users approach investing journeys depending on entry point, perceived risk, and confidence level.
I researched mental models around autonomy, guidance, and reassurance, comparing expectations and behaviours across different digital contexts and journey states.
The research clarified when users want self-directed control versus guided support, informing differentiated design and content strategies.
Designing for accountability, not just usability
Internal platforms in regulated environments must support oversight, clarity, and audit readiness — not just efficiency.
Design systems that balance operational usability with governance, ownership, and escalation needs.
I led discovery research focused on workflows around accountability, exception handling, and status visibility, working closely with cross-functional stakeholders and framing insights through a governance and risk lens.
The work influenced early product direction, helping teams design systems that support transparency, oversight, and regulatory resilience.
From research activity to decision-ready intelligence
As research demand grows, senior leaders often lack visibility into how research aligns with strategy, timing, and investment.
Enable leadership to prioritise, resource, and act — without exposing sensitive project detail.
I designed an integrated research enablement framework combining strategic research roadmapping, capacity forecasting across research streams, and a leadership-facing dashboard translating research activity into executive signals.
All components were deliberately framed through a governance and decision-support lens.
Exploring AI as a research partner (concept)
Poorly defined research requests create downstream friction and misalignment.
Help stakeholders articulate clearer research needs before work begins.
I designed and prototyped a conversational, AI-assisted intake experience that interprets ambiguous inputs and surfaces clearer research direction — supporting, not replacing, researcher judgement.
Demonstrated how AI can elevate upstream research quality and reduce friction between teams and researchers.
Research beyond ideal conditions
Many research environments lack stable connectivity or access to standard tools.
Enable meaningful participation where traditional research methods fail.
I designed a research system allowing participants to contribute insights through locally accessible platforms, with qualitative inputs centralised for analysis.
Enabled inclusive participation and informed decisions with insights that would otherwise be inaccessible.
Discovery → evaluative → iterative. Hypothesis‑led, evidence‑driven, outcome‑focused.
Empathy mapping, ideation sprints, prioritisation and decision framing.
Upskill teams on UX research and HCD—from basics to confident delivery.
Set up research function, ops, templates, intake, and governance—built to scale.
I connect data, behaviour, and design to guide high‑stakes product decisions. My focus is clarity—reducing noise and revealing what truly drives action.
Figma / FigJam · UserZoom · Jupyter/Python · Miro · Maze · Excel · PowerPoint · Streamlit
For collaborations, advisory, or training.
Email me