UX Research
an insight-driven approach

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Research is at the heart of my design process. It helps me understand users, uncover opportunities, and validate ideas—whether I'm working with researchers or doing it myself.

  • Relied on research to guide design decisions and set priorities
  • Got hands-on with user testing, competitor analysis, and benchmarking
  • Completed UX research training to deepen my understanding

Research is a fundamental part of my design process. Over the years, I’ve had the opportunity to work alongside brilliant researchers and have learned a lot about the power of research. Insights gained through research help me understand users, identify their struggles, size problems, uncover opportunities, validate assumptions, and set priorities. Being actively involved in the research process is equally important to me, whether that means taking notes during user interviews, analysing survey data, or conducting competitor analysis. Research is always my starting point.

I’ve completed several training courses in UX research, with a particular focus on the discovery phase. While I’m not a dedicated researcher, I’ve often applied various research techniques myself, especially when resources or time have been limited. From benchmarking to user testing, I see research as a core component of any effective UX process. These hands-on experiences have deepened my appreciation for the critical role researchers play in product design.

Tag cloud

ux research insights design-process workshops ideation cross-functional outcomes user testing smoke tests research methodologies

Ideation workshop / Research report

Collaborative workshops

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Workshops are one of my favourite ways to get teams aligned around user problems and spark creative solutions. They help bring diverse perspectives together, making sure the user’s voice is always at the centre of the conversation.

  • Ran workshops to turn research into actionable concepts
  • Fostered collaboration across product, design, data, and engineering
  • Ensured user needs and priorities shaped the action plans

Workshops are one of my favourite ways to bring people together around user problems. Whether it's a discovery session, brainstorming, ideation, or experiment design, these workshops have consistently helped align teams around shared goals, spark strong ideas, and encourage open discussions about the pros and cons of different solutions. Diverge to converge! I love the energy that comes from collaborative sessions with product owners, stakeholders, designers, data analysts, and engineers. Each participant brings a unique perspective that contributes to well-rounded, effective outcomes.

My workshops always begin with research findings and clearly defined user problem spaces. These insights provide the context everyone needs to shape action plans—whether we're exploring new features, optimising existing flows, or iterating on current solutions. Most importantly, these sessions ensure the voice of the user remains at the heart of the discussion.

I’ve both facilitated and participated in workshops where research is translated into actionable concepts, user needs are prioritised, and the foundation for design exploration is established. Structured workshops also foster inclusion and creativity, and I truly believe they are essential to building strong, collaborative teams.

Ideation workshop / Research report

Validation and testing

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After workshops, validation becomes key—where we shift from brainstorming ideas to testing what works for users. Working closely with data and engineering, we define success metrics and use various validation methods to ensure ideas are practical and effective.

  • Organised follow-up sessions to align on the direction and define success
  • Collaborated with data and engineering to ensure feasibility
  • Used experiments, surveys, and user interviews for validation

Following workshops, validation becomes a key step. I typically begin by synthesising the outcomes and organising a follow-up session to align on a specific direction. The focus then shifts from “What could we do?” to “Does this actually work for users?” At this stage, it's crucial to define what success or failure looks like in terms of metrics for a particular experiment.

Data and engineering roles play a vital part here, providing feasibility insights to help estimate what can be validated, when, and how. Their input ensures that the proposed ideas are not only user-centered but also technically and practically doable.

Depending on the chosen validation method, as well as available resources and time, we agree on how best to move forward. This could vary from more complex experiments, such as smoke tests in production that need to be developed and released, to ‘typically quicker’ forms of validation like surveys or user interviews.

By the end of each design loop, we gather insights and learnings, not only to inform decisions about the original problem space but also to enrich our idea bank, deepen our understanding of users, and validate (or challenge) existing assumptions.