My Expertise:
As the Principal Experience Designer, I led the design and strategic vision for this complex, high-stakes initiative, ensuring the product met the diverse needs of its user base, from surgeons to patients.
My core expertise demonstrated included:
- Complex Stakeholder Alignment: Facilitated high-stakes inception workshops, defining success metrics and trade-off sliders with executives and clinicians to balance scope and priorities against the goal of improving outcomes and equity.
- Deep User Research & Synthesis: Led multi-method qualitative and quantitative research (16 interviews, 21-response survey from 12 roles) in just two weeks, translating insights into four critical user journeys (e.g., patient access to data, performance benchmarking).
- Strategic Storytelling: Developed a powerful storyboard-style approach for the final presentation, creating distinct narratives (clinician and patient views) that seamlessly illustrated pain points and demonstrated the product’s transformational impact and workflow integration.
- Value Realisation & Roadmapping: Translated extensive research and ideation into an actionable roadmap designed for "thin-slice" development, ensuring the client could test and release early, measurable value quickly.
The challenge:
The Register’s vast data (500 fields) was locked in a raw format, preventing its use for strategic decision-making and patient empowerment.
The key challenge was:
- Accessibility & Utility: Designing a single, intuitive platform capable of serving highly diverse user groups—from surgeons needing specific Quality and Performance Indicators (QPIs) to patients needing accessible self-management tools.
- Actionable Insights: Moving beyond simple data display to deliver real-time analytics and visualisations that would directly enhance clinical workflows, such as identifying actionable themes like the need for faster diagnosis-to-surgery timelines.
- Equity: Leveraging the data to address critical issues like equitable access to experimental treatments (e.g., automated trial matching).
































