Senior User Researcher – AI
Overview
- We are seeking an experienced Senior User Researcher to lead research activities for a
- Generative AI platform for a UK government department. This role focuses on understanding
- how internal government users work today, how they perceive and trust AI-assisted outputs,
- and how the platform can be designed to support safe, effective, human-in-the-loop
- decision-making — while meeting GOV.UK Service Standard expectations for user research.
- Key Responsibilities
- Research Strategy & Planning
- Define and own the user research plan across discovery, alpha, beta, and live phases,
- ensuring research activities are timed to inform key product and design decisions rather than
- validate them after the fact.
Understanding Trust & AI Interaction
- Conduct research to understand how internal government users interpret, trust, and act on
- AI-generated answers, retrieval sources, and confidence indicators, surfacing risks around
- over-reliance, misunderstanding, or mistrust of AI outputs.
Research Execution
- Plan and conduct a range of research activities — including interviews, contextual inquiry,
- usability testing, and diary studies — with civil servants and other internal government users,
- recruiting participants in line with government research standards and data handling policies.
Human-in-the-Loop Validation
- Test and validate that human-in-the-loop checkpoints and escalation flows (as defined by
- policy/technical leads) are understood and usable by real users — an execution and
- validation role, not a policy-setting one.
Synthesis & amp; Insight Sharing
- Synthesise research findings into clear, actionable insights for Product, UX, and
- Engineering teams, and present findings to senior stakeholders in a way that supports
- evidence-based decision-making.
Service Assessment Support
- Prepare and present user research evidence for GOV.UK service assessments
- (Alpha/Beta/Live), ensuring research practices and outputs meet the Service Standard's
- evidentiary requirements.
- Documentation & Handover
- Contribute research findings, methodologies, and participant insights to "Docs-as-Code"
- artifacts supporting the OKUA knowledge-transfer framework, so future teams understand
- the evidence behind design and product decisions.
Cross-Functional Collaboration
Work closely with UX Designers, Product Managers, and Engineers to ensure research
findings directly inform design iterations, evaluation criteria, and roadmap prioritisation.
Required Skills & Experience
- Demonstrable experience as a User Researcher on complex, digital products, ideally
involving data-heavy or AI-assisted systems
- Strong grounding in a range of qualitative (and ideally quantitative) research
methods: interviews, usability testing, contextual inquiry, surveys
- Experience researching trust, transparency, and comprehension issues in software
presenting automated or algorithmic outputs
- Experience recruiting and conducting research with government or otherwise
sensitive/regulated user groups, following appropriate ethical and data protection
standards
- Practical experience with GOV.UK Service Standard research expectations and
preparing evidence for service assessments
- Strong synthesis and communication skills, able to translate research into clear
recommendations for varied audiences (designers, engineers, senior stakeholders)
- Comfortable working within secure, regulated environments and handling sensitive
data appropriately
Desirable Experience
- Direct experience researching LLM/RAG-based products, chatbots, or other AI-
assisted decision-making tools
- Experience delivering digital services within UK central government or the wider
public sector
- Experience designing or evaluating human-in-the-loop or escalation workflows
- Familiarity with accessibility research methods and inclusive design principles
- Exposure to research repositories, tooling, or open-source UX research communities