User Researcher

📍 Job Overview

Job Title: User Researcher

Company: Capgemini

Location: London, GB; Manchester, GB

Job Type: Full-Time

Category: Experience Design / User Research

Date Posted: 2026-07-15

Experience Level: Mid-Senior Level

Remote Status: On-site

🚀 Role Summary

• Lead user research initiatives to embed user needs and behaviors into the core of service design and strategy.

• Drive evidence-based decision-making by conducting impactful qualitative, quantitative, and mixed-methods research.

• Collaborate within multi-disciplinary, agile teams to influence product and service design, with a focus on integrating AI capabilities ethically and effectively.

• Ensure services are fair, inclusive, and sustainable by championing human-centered design principles informed by robust user insights.

📝 Enhancement Note: The role emphasizes the evolving landscape of User Research with AI integration, positioning the candidate as a strategic analyst and storyteller, not just a data collector. This suggests a need for candidates who can not only perform traditional research but also leverage and interpret AI-generated insights, aligning with Capgemini's focus on AI-powered transformation. The mention of GDS standards indicates a strong focus on public sector or government-adjacent digital service design.

📈 Primary Responsibilities

• Lead the planning and execution of user research studies, selecting appropriate methodologies (qualitative, quantitative, mixed-methods) to gather critical user insights, with an emphasis on leveraging AI tools for enhanced efficiency and scale.

• Collaborate closely with clients, stakeholders, product managers, designers, developers, and fellow User Researchers to conduct high-impact research that deepens understanding of user needs and informs strategic direction.

• Contribute to the creation of superior products and services that effectively address user problems and meet their needs, with a specific focus on ensuring AI-driven solutions are ethical, inclusive, and user-centric.

• Plan and conduct a variety of research studies, including traditional and AI-enhanced qualitative methods such as remote and in-person interviews, observations, diary studies, and usability testing.

• Integrate quantitative methods, such as surveys, to identify actionable insights, and collaborate with analytics teams, utilizing AI-powered tools to augment qualitative findings and provide a comprehensive user perspective.

• Effectively communicate research findings, involving the wider team in analysis and synthesis to foster user empathy and enable evidence-based design decisions, with a particular skill in interpreting and contextualizing AI-generated insights for accuracy and ethical application.

• Ensure research practices align with Government Digital Service (GDS) service standards and design principles, particularly when working on projects within the public sector or for government clients.

📝 Enhancement Note: Responsibilities are framed around leadership, strategic impact, and the integration of AI, indicating a senior-level role. The emphasis on GDS standards suggests a need for experience in regulated environments or public sector digital service delivery, requiring a nuanced understanding of compliance and user-centricity within these frameworks.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Design Research, or a related field. Equivalent practical experience will also be considered.

Experience: Proven experience in leading user research within a professional setting, ideally within a consulting, digital agency, or large enterprise environment. Experience across multiple phases of the product or service lifecycle is essential.

Required Skills:

• Extensive experience and demonstrable domain knowledge working with Government Digital Service (GDS) service standards and design principles.

• Proven track record of leading user research using qualitative, quantitative, or mixed-methods, with a strong understanding of when to apply each appropriately.

• Experience conducting research across multiple phases of a product or service lifecycle, from discovery and exploration through to design and delivery.

• Exceptional storytelling, communication, stakeholder management, and facilitation skills, with the ability to influence diverse audiences.

• Experience working effectively within multi-disciplinary, agile teams, leading user research efforts and driving design decisions through gathered insights.

• Familiarity with using prototypes to test hypotheses, assumptions, and user journeys.

• Ability to plan and conduct both traditional and AI-enhanced qualitative studies, including remote and in-person interviews, observations, diary studies, and usability studies.

• Proficiency in integrating quantitative methods such as surveys to identify actionable insights. Preferred Skills:

• Experience with AI tools and platforms to enhance research efficiency, data analysis, and insight generation.

• Familiarity with data analysis techniques and the ability to synthesize complex datasets into clear, actionable recommendations.

• Experience in service design and understanding of how user research informs broader service strategy.

• Knowledge of accessibility standards and inclusive design practices.

• Experience in interpreting and contextualizing AI-generated insights for accuracy and ethical use.

📝 Enhancement Note: The emphasis on GDS standards and experience across the full product lifecycle points to a need for seasoned researchers. The explicit mention of AI integration suggests that candidates with experience in leveraging AI for research augmentation will have a distinct advantage.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of at least 2-3 comprehensive user research projects that demonstrate end-to-end research execution, from planning and recruitment to analysis and reporting.

• Projects should highlight the application of diverse research methodologies (qualitative, quantitative, mixed-methods) tailored to specific project goals.

• Evidence of how research insights directly influenced product or service design decisions, leading to tangible improvements or strategic shifts.

• Examples of stakeholder management and communication, illustrating how research findings were effectively presented and acted upon.

• Demonstrations of working within agile or iterative development environments. Process Documentation:

• Clearly articulate the research process followed for each project presented in the portfolio, detailing the rationale behind methodological choices.

• Illustrate how research plans were developed, including participant recruitment strategies and ethical considerations.

• Provide examples of synthesis and analysis techniques used to derive actionable insights from raw data.

• Showcase how research findings were communicated to different audiences, including design teams, product managers, and senior stakeholders.

• If applicable, include examples of how AI tools were utilized to support or enhance research processes.

📝 Enhancement Note: A strong portfolio is critical for this role, showcasing not just research execution but also strategic impact and the ability to translate insights into actionable design recommendations. The expectation is to see how research has demonstrably improved services, especially in contexts adhering to GDS standards.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for User Researchers with 5-10 years of experience in London and Manchester, the estimated salary range is £55,000 - £75,000 per annum. This range considers the specific requirements, including GDS experience and AI integration skills, and the cost of living in these major UK cities.

Benefits:

• Comprehensive training and development opportunities, including access to a vast library of courses and external certifications.

• A peer recognition portal ('Applaud') for acknowledging contributions and achievements.

• Access to a range of core and flexible benefits, allowing for a tailored benefits package.

• Opportunities for professional growth and skill advancement through think tanks, hackathons, and specialized training.

• Potential for exposure to cutting-edge technologies, including AI and its application in design and research.

Working Hours: Standard working hours are typically 40 hours per week, with flexibility offered where possible, aligning with project needs and team collaboration.

📝 Enhancement Note: The salary estimate is based on publicly available data for UX/User Researcher roles in the UK, specifically London and Manchester, considering the specified experience level and the specialized requirements like GDS standards and AI familiarity. Capgemini's benefits package emphasizes continuous learning and professional development, which is highly relevant for a role focused on evolving research practices.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology Consulting & Digital Transformation. Capgemini is a global leader in consulting, technology services, and digital transformation, working with a wide array of clients across various sectors, including public services, finance, and energy.

Company Size: Large Enterprise (over 10,000 employees globally). Capgemini is a significant player in the global technology services market, offering diverse career paths and a broad range of expertise.

Founded: 1967. With a long history, Capgemini has established itself as a trusted partner for businesses undergoing technological evolution.

Team Structure:

• The User Researcher will join the growing Digital Customer Experience (DCX) practice within Capgemini, specifically within the Experience Design team.

• This team likely comprises a mix of UX/UI designers, service designers, user researchers, and content strategists, working collaboratively on client projects.

• Researchers will report into a lead designer or research manager and will work closely with project managers and client teams.

• Cross-functional collaboration is a cornerstone, with close partnerships with product managers, developers, and client stakeholders being essential for success. Methodology:

• Capgemini emphasizes a hybrid approach, blending agile methodologies with a strong focus on human-centered design principles.

• Data analysis and insights are critical, with a growing emphasis on leveraging AI to enhance understanding and efficiency.

• Workflow planning and optimization are key to delivering successful client outcomes, ensuring research is integrated seamlessly into project lifecycles.

• Automation and efficiency practices are encouraged, particularly in how research processes can be streamlined through technology and AI.

Company Website: https://www.capgemini.com/

📝 Enhancement Note: Capgemini's culture is characterized by its global reach, commitment to innovation (especially AI), and a focus on client transformation. The DCX practice likely operates with a blend of structured consulting methodologies and agile project execution, requiring researchers to be adaptable and client-focused.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a User Researcher within the Experience Design team, indicating a mid-to-senior level of experience. It implies a significant degree of autonomy in leading research, mentoring junior team members, and influencing project strategy. The emphasis on GDS standards and AI integration suggests a specialized, high-impact role within the broader operations of client service delivery.

Reporting Structure: The User Researcher will likely report to a Lead Experience Designer, Research Manager, or a similar senior role within the DCX practice. They will work closely with project managers and client-side teams, requiring strong communication and collaboration skills across different organizational layers.

Operations Impact: The User Researcher's work directly impacts the success of client projects by ensuring that digital services are user-centered, effective, and meet business objectives. By providing evidence-based insights, they help mitigate risks associated with product development, improve user adoption, and ultimately contribute to client satisfaction and business growth. The integration of AI further amplifies this impact by enabling more scalable and predictive insights.

Growth Opportunities:

• Specialization: Deepen expertise in specific research methodologies, AI-driven research techniques, or particular industry sectors (e.g., public sector digital services).

• Leadership: Progress to a Senior User Researcher, Lead Researcher, or Research Manager role, overseeing research teams and strategy.

• Consulting Skills: Develop advanced client management, strategic advisory, and business development skills within the consulting framework.

• Cross-Disciplinary Learning: Gain exposure to service design, UX/UI design, product strategy, and AI implementation through cross-functional project work.

• Industry Certifications: Pursue advanced certifications in UX research, AI ethics, or specific GDS-related accreditations.

📝 Enhancement Note: The growth trajectory at Capgemini for a User Researcher is likely tied to both deepening research expertise and developing broader consulting and strategic capabilities. The company's focus on AI and digital transformation provides ample opportunities for continuous learning and adaptation.

🌐 Work Environment

Office Type: The role is primarily on-site, indicating a traditional office-based working environment within Capgemini's London or Manchester offices. This setup facilitates in-person collaboration, client meetings, and team cohesion.

Office Location(s): Capgemini has significant office presences in London and Manchester, major business hubs offering excellent connectivity and access to a vibrant professional community. These locations provide a dynamic environment for client engagement and talent acquisition.

Workspace Context:

• The workspace is designed to foster collaboration, likely featuring open-plan areas, meeting rooms, and dedicated project spaces.

• Access to necessary research tools, technology, and software will be provided, including potential access to AI research platforms and analytics tools.

• Regular interaction with a diverse team of designers, researchers, consultants, and client representatives will be a key aspect of the daily work environment.

Work Schedule: The typical work schedule is 40 hours per week. While on-site, there may be an expectation of some flexibility to accommodate client needs, project deadlines, and collaborative sessions, especially when working on client sites or during intensive research phases.

📝 Enhancement Note: The on-site requirement suggests an environment that values in-person collaboration and client interaction, common in consulting firms. The office locations in London and Manchester are strategic, offering access to talent and proximity to major clients.

📄 Application & Portfolio Review Process

Interview Process:

1. Application & Screening: Initial review of CV and portfolio for relevant experience, particularly GDS standards and research methodologies.

2. Hiring Manager Interview: Discussion focused on experience, research philosophy, approach to AI integration, and understanding of Capgemini's client-centric model. This may include behavioral questions.

3. Portfolio Presentation & Case Study: A deep dive into selected projects from the portfolio. Candidates will be expected to articulate their process, insights, impact, and how they navigated challenges. A hypothetical research problem or a specific case study might be presented for discussion.

4. Team/Stakeholder Interview: Meeting with potential colleagues and/or client representatives to assess collaboration style, communication skills, and cultural fit within the Experience Design team and Capgemini's consulting environment.

5. Final Offer: Based on overall assessment of skills, experience, and cultural alignment.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your end-to-end research process, GDS adherence, and impact on design decisions. Prioritize projects with clear outcomes and measurable results.

• Highlight AI Integration: If applicable, clearly demonstrate how you've used or considered AI in your research process, including data analysis, synthesis, or participant interaction.

• Tell a Story: Structure your case studies with a clear narrative: problem, approach, execution, insights, impact, and learnings. Emphasize your specific role and contributions.

• Quantify Impact: Whenever possible, use metrics to demonstrate the impact of your research. This could include improvements in conversion rates, task completion times, user satisfaction scores, or cost savings.

• Be Prepared for GDS: Be ready to discuss your understanding and application of GDS principles and standards in detail, using specific examples from your work.

• Present Clearly: Practice your presentation to ensure it's concise, engaging, and within the allotted time. Be ready to answer detailed questions about your methodology and decision-making.

Challenge Preparation:

• Research Scenario: Be prepared for a hypothetical research challenge where you'll need to outline a research plan, identify potential methodologies, and discuss how you'd approach data collection and analysis, possibly within GDS constraints or with AI considerations.

• Stakeholder Management: Anticipate questions about how you manage conflicting stakeholder requirements or communicate difficult research findings.

• Ethical Considerations: Prepare to discuss ethical considerations in user research, particularly concerning data privacy, bias in AI, and inclusive design.

📝 Enhancement Note: The interview process is designed to assess a candidate's practical research skills, strategic thinking, ability to integrate new technologies like AI, and fit within a consulting environment that emphasizes client delivery and adherence to standards like GDS. The portfolio review is a critical component, requiring clear articulation of process and impact.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Proficiency in tools for survey creation (e.g., SurveyMonkey, Qualtrics), usability testing (e.g., UserTesting.com, Maze), and participant recruitment.

• Collaboration Tools: Experience with tools like Miro, Mural, Jira, Confluence for collaborative synthesis, planning, and documentation within agile teams.

• Prototyping Tools: Familiarity with tools like Figma, Sketch, Adobe XD to understand and test prototypes.

• AI-Enhanced Research Tools: Exposure to or willingness to learn AI-powered tools for data analysis, sentiment analysis, transcription, or insight generation.

Analytics & Reporting:

• Data Analysis Software: Ability to work with tools like Excel, SPSS, or R for quantitative data analysis.

• Visualization Tools: Experience with tools like Tableau or Power BI to create compelling data visualizations and reports.

• Qualitative Analysis Software: Familiarity with tools like NVivo or Dovetail for organizing and analyzing qualitative data.

CRM & Automation:

• While not a primary focus, understanding how user research integrates with CRM systems (e.g., Salesforce) and marketing automation platforms can be beneficial for a holistic view of the customer journey.

• Awareness of how insights can feed into automated customer experiences.

📝 Enhancement Note: The tool stack emphasizes research-specific platforms and collaboration tools. The mention of AI-enhanced tools suggests an expectation for candidates to be adaptable and open to leveraging emerging technologies to augment their research capabilities.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A fundamental commitment to understanding and prioritizing user needs in all design and development efforts.

• Evidence-Based Decision Making: Reliance on data and research insights to inform strategy and design choices, ensuring objectivity.

• Collaboration & Teamwork: A strong emphasis on working effectively within diverse, multi-disciplinary teams and with clients.

• Innovation & Continuous Improvement: Encouraging exploration of new methodologies, technologies (like AI), and approaches to enhance research and design practices.

• Ethical Practice: Upholding high ethical standards in research, data handling, and the development of user-centric, inclusive, and sustainable services.

Collaboration Style:

• Cross-functional Integration: Active participation in project teams, working alongside designers, developers, product managers, and business analysts to ensure research is integrated throughout the project lifecycle.

• Open Communication: Fostering an environment of open dialogue, constructive feedback, and knowledge sharing among team members and with clients.

• Client Partnership: Building strong relationships with clients, acting as a trusted advisor and ensuring research efforts are aligned with their business objectives.

• Agile Mindset: Embracing iterative processes, adapting to changing requirements, and collaborating closely within sprint cycles.

📝 Enhancement Note: Capgemini's culture likely reflects a professional services environment that values expertise, collaboration, and delivering tangible value to clients. The emphasis on user-centricity, evidence, and innovation aligns well with the core tenets of effective user research.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Research Rigor with Project Timelines: Navigating the inherent tension between conducting thorough research and meeting demanding project deadlines common in consulting.

• Integrating AI Insights: Effectively incorporating and validating AI-generated insights alongside traditional qualitative and quantitative data, ensuring ethical use and avoiding bias.

• Stakeholder Alignment: Managing diverse stakeholder expectations and influencing decision-makers who may have different perspectives or levels of understanding of user research.

• Adapting to Evolving Methodologies: Staying current with new research techniques, tools, and the rapidly changing landscape of AI in design and research.

• Client-Specific Contexts: Quickly understanding and adapting to the unique challenges, user bases, and regulatory environments of various clients, especially within public sector frameworks like GDS.

Learning & Development Opportunities:

• AI in Research Workshops: Participating in training sessions focused on leveraging AI tools for research, data analysis, and insight generation.

• GDS Standards Mastery: Opportunities to deepen expertise in GDS principles through ongoing project work and internal Capgemini resources.

• Cross-Disciplinary Training: Access to courses and workshops in service design, UX/UI design, product strategy, and AI implementation.

• Consulting Skills Development: Training programs focused on client management, business analysis, and strategic advisory.

• Mentorship Programs: Access to senior researchers and designers within Capgemini for guidance and career development.

📝 Enhancement Note: The challenges highlight the dynamic nature of consulting and the specific demands of integrating new technologies like AI into established research practices. Growth opportunities are strongly geared towards both specialization in research and broader consulting competencies.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to defining research objectives when faced with a broad client brief and a tight deadline. How would you prioritize research activities?" (Focus on strategic planning, prioritization, and GDS alignment).

• "How do you ensure your research findings are actionable and effectively communicated to diverse stakeholders, including those less familiar with user research?" (Focus on communication, storytelling, and stakeholder management).

• "Imagine we need to research a new AI-powered service. What are the key ethical considerations you would address, and how would you plan your research to uncover potential biases or unintended consequences?" (Focus on ethical AI, research planning, and bias detection). Company & Culture Questions:

• "Why are you interested in User Research at Capgemini, and what specifically attracts you to our DCX practice?" (Demonstrate understanding of Capgemini's business, AI focus, and consulting model).

• "How do you see your role contributing to Capgemini's mission of delivering AI-powered business and technology transformation?" (Connect your research skills to the company's strategic goals).

• "Describe a time you had to influence a team or client who was resistant to user research findings. What was your strategy, and what was the outcome?" (Assess influence, persuasion, and resilience). Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly outline the business context, the user problem, your research goals, your chosen methodologies (and why), key findings, the impact of those findings on the product/service, and lessons learned.

• Quantify Impact: Use metrics whenever possible to demonstrate the tangible value your research delivered (e.g., improved user satisfaction scores, reduced task completion times, increased conversion rates).

• Showcase GDS Application: Explicitly detail how your research adhered to or informed GDS service standards and design principles.

• Discuss AI Integration: If you have experience, explain how you utilized AI tools or considered AI's impact in your research. If not, discuss how you would approach it.

• Be Prepared for Deep Dives: Anticipate detailed questions about your methodology, participant recruitment, data analysis, and decision-making processes.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, practical application of research methodologies (especially GDS), adaptability to new technologies like AI, and strong stakeholder management skills, all within a consulting context.

📌 Application Steps

To apply for this User Researcher position:

• Submit your application through the Capgemini careers portal link provided.

• Tailor your CV: Highlight specific experience with user research methodologies, GDS service standards, agile environments, and any exposure to AI tools or concepts. Quantify achievements wherever possible.

• Prepare your Portfolio: Select 2-3 strong case studies that demonstrate your end-to-end research process, impact on design, and adherence to GDS principles. Ensure it's well-organized, visually appealing, and easy to navigate.

• Research Capgemini: Familiarize yourself with Capgemini's Digital Customer Experience (DCX) practice, their approach to AI-powered transformation, and their commitment to user-centric design.

• Practice your Presentation: Rehearse your portfolio walkthrough and be prepared to discuss your research philosophy, approach to challenges, and how you integrate insights into actionable design recommendations.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.