Experience Design

Working with cross-functional teams to deliver user-centred designs that integrate advanced AI capabilities and data science. My approach is grounded in a comprehensive framework of understanding complex problems, and through research, analysis, design and testing, transform them into smart, beautiful and intuitive products.

I prioritise empathy for users by striving to grasp their objectives, motivations, and challenges. This commitment allows me to provide tailored experiences that not only meet but exceed user expectations. By leveraging AI and data insights, I enhance product offerings that contribute significantly to business growth in a competitive landscape.

With creativity and technological advancement at the forefront of my strategy, I actively mentor designers, fostering an environment of collaboration through peer reviews, promoting usability testing, and embracing the dynamic evolution of design systems.

  • Preparing for success

    A well-defined problem statement is the cornerstone of effective UX design. By articulating clear requirements, we align our efforts and set the stage for successful outcomes.

    Among this could include:

    – Product Manager alignment

    – Stakeholder interviews

    – Scope definition and roadmapping

    – KPI targets

    – Key company objectives

    – User research

    – Data analysis

    – Technical opportunity

  • Design and test

    A crucial phase for translating user needs and requirements into tangible solutions. This phase involves creating prototypes, iterating on designs, and validating concepts to ensure a fit for purpose experience.

    – Coaching

    – Collaborative white-boarding

    – AI / Data Science integration

    – User-centred design

    – Prototyping and UI

    – Usability testing and validation

    – Psychology

    – Personalisation opportunities

    – Design systems

    – Technical validation

  • Learn and grow

    Critical observation phase to gather user interactions and experience. Essential for identifying issues, understanding behaviour, and refining designs or DS modals based on real-world usage. By monitoring and gathering data, designers and Data Scientists can uncover valuable insights that contribute to ongoing improvements.

    – Analytics

    – Heatmaps

    – A/B Testing

    – Usability Testing

    – Surveys, Feedback and NPS

    – Session Recordings

    – Brand Monitoring