Health & Social Care Field Research Accessibility

Pangolin – Designing for Rural Health Equity

A social prescribing tool for Somerset Village Agent link workers – reducing fragmentation in the referral and client management system.

Role Sole researcher & designer
Duration [ dates ]
Methods Semi-structured interviews, survey,
thematic analysis, persona, prototype
Tools Figma, [ others ]
Ethics Full university ethics review

The problem

[ Who are Village Agent link workers? What does their day look like? Context: rural Somerset, NHS-adjacent social prescribing, voluntary sector. The role sits in a gap – not quite health, not quite social work – navigating a patchwork of referral sources, community services, and client needs. ]

"We're just really willy-nilly recording stuff." – Link worker, 6 years experience

[ Describe the fragmentation problem: multiple systems, no single source of truth, paper records alongside digital, referral tracking done informally. The problem isn't a lack of effort – it's a lack of infrastructure suited to how this work actually happens. ]

System map / ecosystem overview

The fragmented landscape link workers navigate daily.

Research & discovery

[ Why these methods? Rationale for semi-structured interviews with link workers. Ethics process – why it mattered for a health-adjacent participant group. The decision to lead with interviews rather than surveys reflects the exploratory nature of the problem: we needed to understand behaviour before we could measure it. ]

Interviews

4 semi-structured interviews with Somerset Village Agent link workers. Participants: varied tenure (2–10 years), rural and peri-urban areas.

Survey

18 responses. [ Key quantitative findings – what did the survey reveal that the interviews couldn't? ]

Thematic analysis / affinity map

Key themes emerging from interview coding.

Persona – primary user

Composite persona derived from interview participants.

Key insights

Insight 1

[ Main finding – describe the behaviour or pain point, then what it means for design. Frame it as an insight, not just a complaint: what does this tell us about what the system needs to do? ]

Insight 2

[ Second finding ]

Insight 3

[ Third finding ]

Design process

[ How did the research translate into design decisions? What was considered and ruled out, and why? The translation from insight to design is where the thinking becomes visible – this section should show the decision-making, not just the output. ]

Ideation – concepts considered

[ What did early ideation look like? What was rejected and why? ]

Design iterations

[ What changed between iterations and what drove those decisions? ]

Prototype – Figma
Open prototype or watch the walkthrough

Note: embedded Figma prototypes may not be fully keyboard-accessible. A narrated video walkthrough is provided as an equivalent.

Outcome

[ What did the project produce? What was the result of the design work? Even if no product shipped – what did the research and design reveal? What would the next stage look like? Frame the outcome honestly: a research-led prototype at this stage is a legitimate and valuable output. ]

Result / deliverable

[ Describe the final prototype, research output, or handoff artefact. Be specific: screens, flows, documentation, or recommendations. ]

Reflection

[ What worked well? What would you do differently with more time or resource? What did you personally learn – about the domain, the method, your practice? This is professional maturity, not apology. The best reflections show that you can think critically about your own process. ]

What worked

[ 2–3 honest observations ]

What I'd do differently

[ 2–3 honest observations – this is professional maturity, not apology ]