UX Researcher

United Kingdom Offsite (zuk99)mid
DesignUx Researcher
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Quick Summary

Requirements Summary

Strong research and analytical skills. Experience designing and conducting empirical research. The ability to take an ambiguous problem and break it into answerable questions.

Technical Tools
DesignUx Researcher

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

At Motorola Solutions, we build technologies that help people be their best in the moments that matter. Our products support people working in complex, high-stakes environments — from public safety and emergency communications to enterprise security.

Understanding the people who use these technologies, the environments they work within and the challenges they face is fundamental to building products that are useful, trustworthy and effective.

About the Role

~1 min read
  • Work with stakeholders to turn broad product or business questions into clear, answerable research questions.

  • Identify assumptions, gaps in knowledge and areas of uncertainty before recommending new research.

  • Review existing evidence and understand user behaviour within its wider social, organisational and technological context.

  • Look beyond individual features to understand workflows, systems and broader patterns.

  • Select research methods that fit the question and the decision being made.

  • Plan and conduct qualitative research such as interviews, contextual inquiry, observation, field research and usability studies.

  • Design studies that consider bias, validity, ethics and the limitations of the available evidence.

  • Adapt research approaches to complex environments and populations that may be difficult to access.

  • Use quantitative approaches where appropriate, including surveys, structured studies and analysis of behavioural or product data to help answer research questions and measure user outcomes.

  • Partner with other researchers and specialists when a project requires different methodological expertise.

  • Analyse qualitative data systematically and identify meaningful patterns.

  • Analyse and interpret quantitative data alongside qualitative findings, identifying patterns and relationships while being clear about sample size, uncertainty and the limitations of the evidence. 

  • Distinguish between evidence, interpretation and assumption.

  • Connect individual findings to broader product, user and strategic questions.

  • Translate research findings into clear implications and recommendations.

  • Communicate complex ideas in simple, accessible ways for multidisciplinary and senior audiences.

  • Help Product and Design teams understand how evidence should influence priorities and decisions.

  • Work collaboratively with stakeholders while maintaining an independent research perspective.

  • Contribute to the research community

  • Share methods, learning and evidence with other researchers.

  • Contribute to reusable research knowledge rather than treating every project as an isolated study.

  • Participate in critique, peer review and research planning.

  • Develop your own methodological expertise through coaching, collaboration and practice.

Requirements

~1 min read
  • Psychology, sociology, anthropology or behavioural science

  • Cognitive science, Human-Computer Interaction or Human Factors

  • Criminology, public policy, political or social science

  • Education, organisational psychology or occupational psychology

  • Science and Technology Studies or another empirical social-science discipline

10-25%
  • Survey design and analysis

  • Experimental or quasi-experimental research

  • Statistical analysis or quantitative usability research

  • Behavioural or product-usage data

  • Data visualisation or working with structured datasets

  • Tools such as R, Python, SPSS, SQL or similar

  • We are not looking for a statistician or data scientist. Candidates with strong research foundations and an interest in learning will have opportunities to develop deeper quantitative and mixed-methods expertise within the team.

  • Competitive salary and bonus schemes.

  • Two weeks additional pay per year (holiday bonus).

  • 25 days holiday entitlement + bank holidays.

  • Attractive defined contribution pension scheme.

  • Employee stock purchase plan.

  • Flexible working options.

  • Private medical care.

  • Life assurance.  

  • Enhanced maternity and paternity pay.

  • Career development support and wide ranging learning opportunities.

  • Employee health and wellbeing support EAP, wellbeing guidance etc.

  • Carbon neutral initiatives/goals.

  • Corporate social responsibility initiatives including support for volunteering days.

  • Well known companies discount scheme.

#LI-LM2

None
Experienced

Yes

Motorola Solutions UK Limited

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

Location & Eligibility

Where is the job
United Kingdom Offsite (zuk99)
On-site at the office
Who can apply
Same as job location

Listing Details

Posted
September 15, 2026
First seen
October 1, 2026
Last seen
October 2, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
17%
Scored at
October 2, 2026

Signal breakdown

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UX Researcher