Led user research and interaction design for a critical government benefit fraud and error system, achieving full WCAG 2.2 compliance while reducing development rework by 35% through prototype-driven validation.

The DWP needed to digitise complex fraud and error benefit processes while ensuring accessibility for all citizens, including vulnerable users. Existing workflows were paper-based, inconsistent across regions, and difficult to navigate. The challenge was translating intricate policy regulations into intuitive digital services that met stringent GDS Service Standards and WCAG 2.2 accessibility requirements.
Built end-to-end service journeys using the GOV.UK Prototype Kit to test policy interpretations and UI options before any engineering commitment. Conducted extensive moderated and unmoderated usability testing to refine content design, interaction patterns, and error states. Collaborated closely with policy teams to translate complex regulations into user-centred flows. Applied Design Thinking and Lean UX methodologies within agile delivery teams to ensure rapid iteration based on real user feedback.



Benefit fraud and error regulations contained nuances that even experienced caseworkers interpreted differently. Digital services needed to encode these rules unambiguously while remaining flexible for edge cases.
Users navigating fraud/error processes were often stressed, confused, or fearful about their benefit status. The service needed to reassure while collecting necessary information.
Front-line staff spent significant time on administrative tasks that could be automated, reducing their capacity for complex case assessment.
Different DWP offices had developed local workarounds, leading to inconsistent citizen experiences and data quality issues.
Existing digital touchpoints failed basic accessibility requirements, excluding users with visual, motor, or cognitive impairments.
Policy interpretations were being coded directly into production systems without user validation, leading to costly rework when issues emerged.
Every policy interpretation and UI decision was tested with real users in the GOV.UK Prototype Kit before any engineering work began. This caught issues early when they were cheap to fix.
Used proven GOV.UK Design System components wherever possible. These patterns are already tested for accessibility and usability, reducing risk and speeding delivery.
WCAG 2.2 compliance wasn't a final checkbox - it was built into every design decision from day one. Tested with screen readers, keyboard navigation, and users with disabilities throughout.
Government policy is complex; citizen-facing services shouldn't be. Every piece of content was written at accessible reading levels and tested for comprehension.
Applied the GDS principle of asking one question per page, reducing cognitive load and improving completion rates for complex multi-step journeys.
Used analytics and research findings to prioritise improvements. Focused effort where it would have the greatest impact on user success.
The GOV.UK Prototype Kit was central to our design process. Rather than static wireframes, we built fully interactive HTML prototypes that looked and behaved like the real service. This allowed us to:
8 participants • Moderated in-person
12 participants • Moderated remote
15 participants • Mix of moderated and unmoderated
6 participants • Accessibility-focused testing
"Kam's approach to prototyping fundamentally changed how we work. By testing policy interpretations with real users before development, we caught issues that would have been incredibly expensive to fix later. His accessibility expertise ensured we met our obligations to all citizens."
The GOV.UK Prototype Kit is transformative for government services - it bridges the gap between policy intent and user reality
Accessibility testing with real users reveals issues that automated tools miss - budget for it from the start
Policy teams become design allies when they can see their regulations working in realistic prototypes
One thing per page really works - it feels slower but completion rates prove it's faster
GDS patterns exist for a reason - resist the urge to innovate when proven solutions exist
Agile doesn't mean no documentation - lightweight but clear handoffs prevent implementation drift