UX Research

📍 Job Overview

Job Title: UX Researcher

Company: Zensar

Location: Hyderabad, Telangana, India

Job Type: Full-time

Category: User Experience (UX) Research

Date Posted: June 09, 2026

Experience Level: 5-7 years

Remote Status: On-site

🚀 Role Summary

• Conduct comprehensive qualitative and quantitative UX research studies to ensure products meet user needs and business objectives.

• Apply user-centered design principles to analyze user behavior and preferences, translating insights into actionable recommendations for product enhancement.

• Collaborate with cross-functional teams, including designers, product owners, and data analytics, to integrate research findings into the product development lifecycle.

• Leverage Artificial Intelligence (AI) in UX research for innovative study design, automated analysis, and enhanced insight discovery across multiple methodologies.

• Utilize a variety of research practices, including usability testing, surveys, card sorts, and A/B tests, within an Agile framework to deliver timely and impactful user insights.

📝 Enhancement Note: While the title is "UX Research," the description emphasizes a strong analytical and data-driven approach, aligning with operations-focused roles that require understanding user behavior to optimize processes and product performance. The explicit mention of AI integration and KPI tracking further reinforces this.

📈 Primary Responsibilities

• Research Study Design and Execution: Define, plan, and execute both qualitative and quantitative UX research studies, selecting appropriate methodologies (e.g., Design Feedback, Concept Validation, Generative Research, Usability studies, Interviews, Contextual Inquiries, Surveys, Card Sorts) to address specific program needs within an Agile framework.

• Cross-functional Collaboration: Partner closely with UX Designers, Business Architects, Data Analytics Teams, Product Owners, and leadership to identify opportunities for user-centered design and UX offerings, ensuring alignment with business goals.

• Insight Translation and Recommendation: Analyze user behavior and desires to enhance product experiences, focusing on measurable results (KBMs/KPIs/numerical data) and converting research findings into concrete Design and Information Architecture recommendations.

• Problem-Solving and Facilitation: Facilitate working sessions, exercises, and engagements for key decision-makers and cross-functional teams to solve complex problems using Design Thinking methodologies and other collaborative approaches.

• Reporting and Impact Tracking: Study raw research data and insights, reporting findings through written reports and presentations to drive informed decision-making and continuously track the impact of research on product development and user experience.

• Product Development Integration: Work closely with UX designers, engineering teams, and product managers to ensure research findings are fully leveraged throughout the product design and development lifecycle, fostering a user-centric approach.

• Continuous Learning: Stay current on the latest research trends, tools, and best practices in UX research, with a particular focus on the application of AI in research methodologies.

📝 Enhancement Note: The responsibilities highlight a need for analytical rigor, process management, and strategic thinking, common in operations roles. The emphasis on translating data into actionable insights and tracking impact aligns with operational efficiency and performance measurement.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree or equivalent required. Experience:

• 5 to 7 years of broad, hands-on experience conducting UX Research, encompassing both Qualitative and Quantitative methodologies.

• Experience working within an Agile framework is essential. Required Skills:

• Qualitative & Quantitative Research: Proven ability to design, execute, and analyze a wide range of research methods, including interviews, contextual inquiries, surveys, usability studies, card sorts, click tests, tree tests, and A/B tests.

• AI Integration in UX Research: Demonstrated ability to identify and apply AI for innovative study design, automated secondary analysis, and enhanced survey creation, streamlining research processes and uncovering deeper insights.

• Data Analysis & Interpretation: Strong analytical skills to study raw research data, identify user behaviors and desires, and convert findings into actionable recommendations. Ability to explain the rationale behind chosen analysis methods.

• Communication & Presentation: Excellent presentation and communication skills, with a proven track record of effectively communicating research findings and their impact to diverse audiences, including product teams and leadership.

• User-Centered Design Principles: A deep understanding and consistent application of user-centered design principles throughout the research and development process.

• Agile Methodologies: Experience and comfort working within fast-paced, Agile development environments, managing multiple projects concurrently and prioritizing effectively.

Preferred Skills:

• Storytelling: Proven ability to craft compelling narratives from research data to influence stakeholders and drive adoption of user-centered recommendations.

• Product Requirements Interpretation: Ability to interpret product requirements documents from a user-centered perspective, identifying potential research needs and user experience implications.

• Project Management Fundamentals: Fundamental understanding of project management concepts, including timeline management, estimation, and resource allocation for research studies.

• Business Process Management: Familiarity with business process management concepts to understand how UX research can impact broader business objectives and operational efficiency.

• UX/Design Fundamentals: Working knowledge of design and user experience fundamentals, including visual design principles and accessibility standards.

📝 Enhancement Note: The emphasis on "measurable results (KBMs/KPIs/numerical data)," "data analytics teams," and "AI in UX Research" strongly suggests that candidates with a quantitative background and experience in data analysis and reporting will be highly valued, aligning with the analytical demands of operations roles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Research Study Demonstrations: Showcase examples of well-defined research plans, detailing the objectives, methodologies, participant recruitment, and data collection methods used for past projects.

• Data Analysis & Insight Reporting: Present case studies demonstrating the ability to analyze qualitative and quantitative data, extract meaningful insights, and translate them into clear, actionable recommendations for design and product teams. Highlight the impact of these recommendations.

• Process Optimization Examples: Include examples where UX research directly informed process improvements or optimizations within a digital product or workflow, showcasing a tangible contribution to user efficiency or task completion.

• AI in Research Application: If possible, include examples where AI tools or techniques were utilized to enhance research design, analysis, or reporting, demonstrating an innovative approach to insight generation.

Process Documentation:

• Research Plan Development: Showcase the ability to document comprehensive research plans, including clear research questions, defined KPIs (behavioral and attitudinal), and selection of appropriate research methods.

• Methodology Documentation: Provide examples of how different research methodologies (e.g., Usability Testing, Surveys, Card Sorts, Contextual Inquiries) were documented and executed, including participant criteria and moderation guides.

• Findings and Recommendation Reports: Present sample reports that clearly articulate research findings, supported by data, and outline specific, prioritized recommendations for product and design teams, detailing expected impact.

📝 Enhancement Note: The requirement for a portfolio that demonstrates "measurable results (KBMs/KPIs/numerical data)" and the ability to convert research findings into "Design and Information Architecture recommendations" strongly implies a need for candidates to showcase process optimization and data-driven decision-making capabilities, akin to those expected in operations roles.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for UX Researchers with 5-7 years of experience in Hyderabad, India, a competitive salary range can be estimated between ₹12,00,000 to ₹20,00,000 per annum. This range accounts for the specified experience level, the technical requirements including AI integration, and the cost of living in Hyderabad. Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and eligible dependents.

• Retirement Savings Plan: Contributions to provident fund or similar retirement schemes as per Indian regulations.

• Paid Time Off: Generous annual leave, sick leave, and public holidays.

• Professional Development: Opportunities for training, workshops, conferences, and certifications to enhance UX research skills, including AI in research.

• Employee Assistance Program (EAP): Support services for personal and professional well-being.

• Performance Bonuses: Potential for performance-based incentives tied to individual and company achievements.

• Flexible Working Arrangements: While this role is on-site, Zensar may offer flexibility within the standard working hours.

Working Hours:

• Standard full-time working hours are expected, typically around 40 hours per week. Specific daily schedules may vary but will align with business needs and team collaboration requirements.

📝 Enhancement Note: Salary estimation is based on common compensation structures for experienced UX Researchers in major Indian tech hubs like Hyderabad, considering the specific skills requested. Benefits are typical for established IT service companies in India.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Technology Services and Consulting. Zensar is a global technology and business solutions company, focusing on "experience-led everything" to engineer and manage digital solutions for enterprises.

Company Size: Zensar is a large enterprise, employing over 10,000 innovators globally. This size suggests a structured environment with established processes, opportunities for specialization, and potential for cross-functional project exposure.

Founded: Part of the $4.8 billion RPG Group, Zensar has a significant history and established market presence, backed by a large conglomerate.

Team Structure:

• UX Research Team: This role is likely part of a dedicated UX Research team within Zensar's digital solutions or product engineering divisions. The team size can vary but is expected to be collaborative.

• Reporting Structure: The UX Researcher will likely report to a Lead UX Researcher, UX Manager, or Head of UX/Design.

• Cross-functional Collaboration: The role inherently requires close collaboration with Product Owners, Designers, Data Analytics teams, Engineering teams, and business stakeholders across various client programs.

Methodology:

• Data-Driven Decision Making: Zensar's "experience-led everything" philosophy implies a strong reliance on data and user insights to drive strategic decisions, product development, and service delivery.

• Agile and Design Thinking: The company likely employs Agile methodologies for project execution and Design Thinking for problem-solving and innovation.

• Client Focus: A core value is "Client Focus," indicating a strong emphasis on understanding and delivering value to clients, which would involve extensive user research to meet client and end-user needs.

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

📝 Enhancement Note: The company's "experience-led everything" slogan and focus on digital solutions suggest a culture that values user insights and data to drive business outcomes, aligning well with operations-oriented roles focused on efficiency and effectiveness.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an experienced individual contributor (5-7 years). It represents a mid-level to senior position within the UX Research domain, requiring autonomy in managing research projects and contributing significantly to product strategy.

Reporting Structure: The UX Researcher will typically report to a senior member of the UX/Design leadership team, potentially a UX Manager or Lead Researcher, who oversees multiple research initiatives and provides mentorship.

Operations Impact: The role's impact is significant, as UX research directly influences product design, user adoption, customer satisfaction, and ultimately, the success of digital solutions. By ensuring products meet user needs effectively, the UX Researcher contributes to increased customer retention, reduced support costs, and enhanced brand perception – all key operational metrics.

Growth Opportunities:

• Specialization: Develop deeper expertise in specific research methodologies, AI applications in UX, or particular industry verticals Zensar serves.

• Leadership Track: Progress into Lead UX Researcher roles, managing research projects, mentoring junior researchers, and influencing research strategy at a program or departmental level.

• Cross-functional Mobility: Opportunities to move into related roles such as Product Management, UX Strategy, or even roles with more direct operational oversight, leveraging a strong understanding of user needs and product performance.

• Continuous Learning & Skill Development: Access to Zensar's learning resources, industry conferences, and potential for certifications to stay at the forefront of UX research and AI.

📝 Enhancement Note: The career path for a UX Researcher in a company like Zensar often involves moving towards strategic influence, team leadership, and potentially specialized operational roles that leverage user insight for business impact.

🌐 Work Environment

Office Type: Zensar is an IT services company, so the work environment is typically a professional office setting within a technology park or business district. This often includes a mix of open-plan workspaces, private offices, meeting rooms, and collaboration zones designed for team interaction.

Office Location(s): The primary location is Hyderabad, Telangana, India, specifically within a prominent business area like Gachibowli, known for its concentration of IT and tech companies.

Workspace Context:

• Collaborative Environment: Expect a dynamic and collaborative workspace where interaction with designers, product managers, and other researchers is frequent and encouraged.

• Technology & Tools: Access to standard office technology, high-speed internet, and specialized UX research software and collaboration tools will be provided.

• Team Interaction: Regular team meetings, project sync-ups, and informal discussions are integral to the work process, fostering knowledge sharing and problem-solving.

Work Schedule: The role is on-site, requiring full-time presence at the Hyderabad office. While standard business hours apply, there may be some flexibility depending on project demands and team agreements. The focus will be on delivering research outcomes within project timelines.

📝 Enhancement Note: The on-site requirement in a major tech hub like Hyderabad suggests an environment geared towards collaboration and access to resources, typical for large IT consulting firms.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on relevant experience and skills.

• Technical Interview(s): Expect one or more interviews with senior UX Researchers or Design leads. These will delve into your research methodologies, experience with specific tools, and your approach to problem-solving. Be prepared to discuss your experience with AI in research.

• Portfolio Review: A crucial stage where you will present your portfolio. This is your opportunity to showcase your best work, research process, and impact. Prepare 2-3 case studies that demonstrate your skills in qualitative and quantitative research, data analysis, and translating findings into actionable recommendations.

• Behavioral/Cultural Fit Interview: This interview assesses your alignment with Zensar's values (One Zensar, Nurturing, Empowering, Client Focus) and your ability to work in a collaborative, fast-paced environment. Questions may focus on teamwork, problem-solving, and handling challenges.

• Final Interview: Potentially with a senior leader in the UX or Product organization to discuss strategic fit and long-term potential.

Portfolio Review Tips:

• Structure Case Studies: For each case study, clearly outline the problem statement, your role, the research questions, methodologies used, your process (including data analysis), key findings, recommendations, and the impact of your work.

• Quantify Impact: Wherever possible, use data and metrics to demonstrate the impact of your research, such as improvements in conversion rates, task completion times, user satisfaction scores, or reduction in support tickets.

• Highlight AI Application: If you have experience using AI in research, make sure to showcase how it streamlined processes, uncovered novel insights, or improved the quality of your findings.

• Tailor to Zensar: Research Zensar's work and clients. If possible, frame your case studies to highlight experience relevant to their industry or typical project types. Be ready to discuss how your skills align with their "experience-led everything" philosophy.

• Be Prepared for Questions: Anticipate questions about your decision-making process, how you handle conflicting stakeholder needs, and how you ensure research findings are implemented.

Challenge Preparation:

• You may be given a small research task or asked to critique an existing design/user flow. Prepare to articulate your thought process and how you would approach such a challenge.

• Practice explaining complex research concepts and findings in a clear, concise manner suitable for both technical and non-technical audiences.

📝 Enhancement Note: The emphasis on portfolio review and case studies highlights the need for candidates to demonstrate practical application of skills and measurable impact, a key expectation for operations-focused roles.

🛠 Tools & Technology Stack

Primary Tools:

• User Research Platforms: Experience with various research platforms for usability testing, surveys, card sorting, tree testing, etc. (e.g., UserTesting.com, Optimal Workshop, Maze, SurveyMonkey).

• AI & Machine Learning Tools: Familiarity with AI applications for research, including AI-powered analysis tools, survey builders, or generative AI for ideation.

• Collaboration Tools: Proficiency in tools like Jira, Confluence, Slack, Microsoft Teams for project management and team communication.

Analytics & Reporting:

• Web Analytics: Experience with tools like Adobe Analytics, Google Analytics for analyzing user behavior on digital platforms.

• Data Visualization Tools: Familiarity with tools such as Tableau, Power BI, or similar for creating dashboards and reports to communicate research insights effectively.

• Statistical Software: Potentially experience with statistical software for quantitative data analysis (e.g., SPSS, R, Python libraries like Pandas, NumPy).

CRM & Automation:

• CRM Systems: Understanding of how UX research informs CRM strategy and user segmentation (e.g., Salesforce, HubSpot), though direct CRM management may not be a primary focus.

• Survey & User Research Tools: Specific mention of tools like Marvin, Qualtrics, and Glassbox indicates a need for hands-on experience with these or similar enterprise-grade research platforms.

📝 Enhancement Note: The explicit mention of AI in UX Research, coupled with analytics and survey tools, points to a need for candidates who can leverage technology for data collection, analysis, and process optimization, aligning with operations skill sets.

👥 Team Culture & Values

Operations Values:

• Client Focus: A paramount value, emphasizing a deep understanding of client needs and delivering solutions that provide tangible business value. This translates to research that is directly aligned with client objectives.

• One Zensar: Promoting a unified approach and collaboration across teams and geographies to deliver seamless client experiences and internal efficiencies.

• Nurturing: Fostering an environment of continuous learning, growth, and mutual support, encouraging professional development in areas like AI in UX research.

• Empowering: Providing individuals with the autonomy and resources to drive innovation and make impactful contributions, encouraging proactive problem-solving.

• Data-Driven Insights: A strong emphasis on using data and user insights to inform decisions, optimize processes, and measure the effectiveness of solutions, aligning with operational excellence.

Collaboration Style:

• Cross-functional Integration: Expect a highly collaborative environment where UX researchers work closely with designers, product managers, engineers, and business analysts to ensure a holistic approach to product development.

• Feedback Exchange: An open culture for providing and receiving constructive feedback on research plans, methodologies, and findings to continuously improve the quality of work.

• Knowledge Sharing: Encouragement of sharing best practices, learnings, and insights across research teams and broader product development groups to elevate the collective understanding of user needs and operational impact.

📝 Enhancement Note: The company values and collaboration style emphasize a results-oriented, data-informed, and team-oriented approach, which are critical for successful operations professionals.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing User Needs with Business/Stakeholder Requirements: Effectively navigating the complexities of aligning user desires with often competing business goals, technical constraints, and stakeholder priorities.

• Driving Action from Insights: Ensuring that research findings are not just reported but actively integrated into product roadmaps and development cycles, overcoming potential resistance to change.

• Measuring Research Impact: Quantifying the ROI of UX research initiatives and demonstrating their contribution to key business objectives (KBMs/KPIs), which can be challenging in a qualitative-heavy field.

• Rapidly Evolving Technology: Keeping pace with advancements in AI and other research technologies, and effectively integrating them into existing workflows to maintain a competitive edge.

Learning & Development Opportunities:

• Advanced Research Methodologies: Deepen expertise in specialized research techniques, including advanced qualitative analysis, statistical modeling for quantitative data, and emerging research methods.

• AI in UX Research Specialization: Gain in-depth knowledge and practical experience in applying AI and machine learning for enhanced research design, data analysis, and predictive insights.

• Cross-functional Skill Development: Opportunities to learn about product management, business analysis, and other areas to gain a more holistic understanding of the product lifecycle and business operations.

• Industry Conferences & Certifications: Access to leading UX research and technology conferences, as well as potential for professional certifications to enhance credibility and skill sets.

• Mentorship Programs: Benefit from guidance from senior researchers and leaders within Zensar and the RPG Group, fostering career growth and leadership potential.

📝 Enhancement Note: The challenges and growth opportunities highlight the dynamic nature of UX research and its increasing intersection with data analytics and AI, areas that are highly relevant to operational strategy and continuous improvement.

💡 Interview Preparation

Strategy Questions:

• Research Strategy & Methodology: "Describe a time you had to choose between multiple research methodologies for a project. What factors did you consider, and how did you justify your choice? How would you design a research strategy to understand user adoption challenges for a new feature?"

• AI in Research Application: "How have you leveraged AI or automation in your research process? Can you provide an example of how AI helped you uncover insights you might have otherwise missed?"

• Data Interpretation & Influence: "Walk me through a research project where your findings led to a significant change in product design or strategy. What was the data, and how did you present it to convince stakeholders?"

Company & Culture Questions:

• Alignment with Values: "How do Zensar's values (One Zensar, Nurturing, Empowering, Client Focus) resonate with your work style? How have you demonstrated Client Focus in your previous roles?"

• Collaboration Experience: "Describe a challenging cross-functional collaboration you experienced. How did you navigate it, and what was the outcome?"

• Impact Measurement: "How do you measure the success of your UX research efforts? What KPIs do you typically track, and how do you report on them?"

Portfolio Presentation Strategy:

• Problem-Solution-Impact Framework: For each case study, clearly articulate the problem, your research approach (methodologies, process), the key insights derived, your recommendations, and the quantifiable impact on the product or business.

• Visual Storytelling: Use visuals (screenshots, wireframes, charts, graphs) to illustrate your process and findings. Make your data compelling and easy to understand.

• Focus on Process & Rationale: Be prepared to explain why you made certain methodological choices, how you analyzed data, and the rationale behind your recommendations. This demonstrates critical thinking.

• Demonstrate Adaptability: Highlight instances where you adapted your research approach based on constraints, new information, or evolving project needs.

📝 Enhancement Note: Interview preparation advice emphasizes demonstrating analytical thinking, process execution, and the ability to translate insights into measurable business outcomes, all hallmarks of strong operations candidates.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the provided link on the Zensar careers portal.

• Portfolio Customization: Curate your portfolio to highlight 2-3 key projects that best demonstrate your expertise in qualitative and quantitative UX research, your ability to integrate AI in research, and your success in translating findings into actionable, data-backed recommendations. Ensure your portfolio showcases measurable impact.

• Resume Optimization: Tailor your resume to emphasize keywords from the job description, such as "Qualitative Research," "Quantitative Research," "AI in UX Research," "Usability Testing," "Agile Framework," and specific tool proficiencies. Quantify your achievements wherever possible.

• Interview Preparation: Practice articulating your research process, decision-making rationale, and the impact of your work. Prepare specific examples to answer behavioral questions related to collaboration, problem-solving, and client focus. Rehearse your portfolio presentation.

• Company Research: Thoroughly research Zensar, its services, client portfolio, and core values. Understand their "experience-led everything" philosophy and how your UX research skills can contribute to their mission. Be ready to discuss how your approach aligns with their culture.

⚠️ 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.

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