UX Research Intern

📍 Job Overview

Job Title: UX Research Intern

Company: Sprinklr

Location: Gurgaon, Haryana, India

Job Type: Full-time Internship

Category: User Experience (UX) Research / Product Development Operations

Date Posted: 2026-08-14

Experience Level: Entry-level (Internship)

Remote Status: On-site

🚀 Role Summary

• This internship focuses on applying UX research methodologies to a complex, AI-native enterprise platform, providing hands-on experience in the full research lifecycle within a B2B SaaS environment.

• Interns will gain exposure to global product development practices and cross-functional stakeholder engagement, collaborating with teams in the United States.

• The role involves owning a multi-phase research study, from planning and execution to data synthesis and presenting findings directly to product leadership.

• A key aspect is developing an AI-first mindset, learning to research AI-driven products and leverage AI tools to enhance the research pipeline.

📝 Enhancement Note: This is an internship role, so the focus is on learning and application of foundational UX research skills within a sophisticated enterprise software context. The emphasis on "AI-native" and "Unified-CXM" indicates a need for candidates to understand how AI integrates into user experience and how to research complex B2B workflows.

📈 Primary Responsibilities

• Support and Execute Studies: Plan, design, and conduct a range of generative and evaluative research studies, including user interviews, surveys, and usability tests to gather critical user insights.

• Data Synthesis & Analysis: Analyze both qualitative feedback and quantitative behavioral metrics to develop comprehensive user personas, task analyses, and user journey maps that inform product strategy.

• Cross-Functional Collaboration: Partner closely with product managers and engineers to understand technical constraints and advocate for user needs, ensuring they are effectively integrated into product roadmaps and development cycles.

• Research Operations Support: Assist in managing the research pipeline by organizing participant recruitment, coordinating study logistics, and maintaining internal research repositories for efficient knowledge management.

• Advocate for the User: Translate raw research data into highly actionable design insights, delivering compelling findings through visual decks and reports to various cross-functional stakeholders.

• UX Quality Assurance: Participate in product benchmarking, monitor competitor software developments, and conduct thorough reviews of platform features to identify and address usability friction points.

📝 Enhancement Note: The responsibilities highlight a structured approach to research, emphasizing data-driven decision-making and effective communication. The inclusion of "Research Operations Support" points to an understanding of the logistical and administrative aspects crucial for efficient research execution in a large organization.

🎓 Skills & Qualifications

Education: Currently pursuing a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Cognitive Science, Psychology, Design, or a related field.

Experience: Academic or project-based experience in user research methodologies. This is an internship, so formal professional experience is not expected, but demonstrated application of research skills through academic projects or personal initiatives is key.

Required Skills:

• Solid academic or project experience with foundational UX research methods, such as card sorting, heuristic evaluations, semi-structured interviews, and context mapping.

• Ability to synthesize complex, ambiguous data sets into clean, concise, and structured takeaways, demonstrating strong analytical skills.

• Excellent presentation skills, with a talent for storytelling with data and articulating the rationale behind observed user behaviors.

• Familiarity with user testing platforms (e.g., UserTesting, UserZoom), survey tools (e.g., Qualtrics, Typeform), and collaboration spaces (e.g., Figma, Miro).

• A strong curiosity for AI systems and an eagerness to learn how to research AI-driven products, including human-AI trust, hallucination impacts, and prompt workflows.

• Passion for solving dense, complex B2B workflow puzzles rather than solely B2C applications. Preferred Skills:

• Experience or demonstrated interest in adopting AI tools to streamline the research pipeline, such as automated synthesis and transcript analysis.

• Understanding of enterprise software environments and the unique challenges of B2B product development.

• Proactive approach to identifying usability friction and contributing to UX quality assurance.

📝 Enhancement Note: The emphasis on "AI-First Mindset" and "Enterprise Curiosity" is crucial. Candidates should highlight any experience or academic focus related to AI, machine learning, or complex business process research. Proficiency with specific tools listed is a strong indicator of preparedness.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least one multi-phase research study from conception to actionable insights, demonstrating the entire research process.

• Include examples of user personas, task analyses, and user journey maps created from synthesized data.

• Present findings through compelling visual decks or reports, demonstrating the ability to communicate complex information clearly and persuasively.

• Highlight any experience using AI tools to augment research processes, such as automated data synthesis or analysis.

• Demonstrate understanding of how research findings translate into product recommendations within a B2B SaaS context. Process Documentation:

• Detail the methodology used for planning and executing research studies, including participant recruitment strategies and ethical considerations.

• Explain how qualitative and quantitative data were synthesized and analyzed to derive meaningful insights.

• Illustrate how research findings were communicated to stakeholders and influenced product decisions.

• Document any steps taken to ensure the usability and effectiveness of proposed design solutions.

📝 Enhancement Note: For an intern role, the portfolio should focus on demonstrating understanding and application of research processes rather than extensive professional impact. Academic projects, personal projects, or contributions to open-source initiatives are acceptable. The ability to articulate the "why" behind their process is as important as the deliverables themselves.

💵 Compensation & Benefits

Salary Range: As this is an internship role, compensation is typically provided as a stipend. For Gurgaon, Haryana, India, a typical internship stipend for a UX Research Intern role with a reputable tech company can range from ₹20,000 to ₹40,000 per month, depending on the company's size, the intern's academic year, and the duration of the internship.

Benefits:

• Dedicated 1:1 mentorship from a senior Sprinklrite.

• Comprehensive onboarding experience into enterprise SaaS design.

• Weekly workshops focusing on professional brand building, career development, and executive presentation skills.

• Regular opportunities to interface with senior product leaders and build cross-functional networks.

• Participation in global cohort meetings with other interns.

• Access to company resources and internal tools for research and collaboration.

• Potential for paid time off as per company policy for interns.

Working Hours: Typically 40 hours per week, aligning with standard business hours in India (Asia/Kolkata timezone). Flexibility may be offered based on project needs and team collaboration, particularly with US-based teams.

📝 Enhancement Note: The salary range is an estimate based on typical internship stipends in the Indian tech sector for roles requiring specialized skills like UX Research. The benefits are focused on professional development and mentorship, which are key value propositions for internship programs.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software/Technology, specifically Customer Experience Management (CXM) and AI-powered enterprise solutions. Sprinklr operates in the competitive SaaS market, focusing on Unified-CXM.

Company Size: Sprinklr is a large enterprise, with over 1,900 enterprises and 60% of the Fortune 100 relying on its platform. The company has a significant global presence and employee base.

Founded: 2009. Sprinklr was founded with a mission to solve enterprise complexity and unify fragmented teams, tools, and data to help organizations build deeper customer connections.

Team Structure:

• The UX Research team is likely part of the broader Product Development or Engineering organization, working closely with Product Management and Design.

• Interns will collaborate with a dedicated mentor and senior UX researchers, as well as product designers and engineers, often in a cross-functional setting.

• Given the global nature of Sprinklr, there will be opportunities to interact with teams based in different regions, particularly the United States. Methodology:

• Data-driven decision-making: Research findings are central to informing product strategy and development.

• User-centric design: A strong focus on understanding and advocating for the user experience is paramount.

• AI integration: Embracing AI in both product development and research processes is a core strategic pillar.

• Collaboration and communication: Emphasis on breaking down silos and fostering effective teamwork across departments and geographies.

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

📝 Enhancement Note: Sprinklr's focus on "AI-native" and "Unified-CXM" implies a culture that values innovation, advanced technology, and a holistic approach to customer experience. The size of the company suggests structured processes and opportunities for significant impact.

📈 Career & Growth Analysis

Operations Career Level: This is an internship level role, designed for individuals early in their career journey, typically pursuing academic qualifications. It provides foundational experience in UX research operations and product development.

Reporting Structure: The intern will report to a designated mentor, likely a Senior UX Researcher or UX Research Manager, and will work under the guidance of senior team members. They will also collaborate with product managers and engineers.

Operations Impact: While an intern's direct impact is learning-focused, their research contributions are intended to inform product decisions, improve user workflows, and ultimately enhance the customer experience for Sprinklr's enterprise clients. The capstone project directly presents findings to product leadership, demonstrating potential for real-world influence.

Growth Opportunities:

• Skill Development: Deepen understanding and practical application of various UX research methodologies, data synthesis, and reporting. Gain exposure to researching complex B2B SaaS products and AI-driven features.

• Professional Networking: Build relationships with senior researchers, product managers, designers, and engineers, both locally and globally.

• Career Exploration: Gain firsthand experience in the tech industry, specifically in enterprise software and UX research, to inform future career aspirations.

• Mentorship: Benefit from structured mentorship and weekly professional development workshops aimed at career advancement and building a professional brand.

📝 Enhancement Note: The growth opportunities are geared towards foundational learning and exposure. The emphasis on a "capstone project" for product leadership indicates a structured program designed for significant learning and presentation experience, which is a valuable stepping stone for future roles.

🌐 Work Environment

Office Type: On-site at Sprinklr's office in Gurgaon, Haryana, India. This implies a traditional office setting designed for collaboration.

Office Location(s): Gurgaon, Haryana, India. This is a major business hub in India, offering access to talent and a vibrant corporate environment.

Workspace Context:

• Collaborative Environment: The office is designed to foster teamwork, with opportunities for spontaneous discussions and planned meetings with colleagues.

• Tools and Technology: Access to Sprinklr's internal suite of tools, including research platforms, collaboration software (Figma, Miro), and potentially AI-powered research aids.

• Team Interaction: Regular interaction with the local UX research team, as well as potential virtual collaboration with US-based product teams, requiring adaptability in communication styles and schedules.

Work Schedule: The role is described as "Full time" and the typical working hours are around 40 hours per week. However, due to collaboration with US-based teams, there might be occasional requirements for early morning or late evening calls.

📝 Enhancement Note: The on-site nature of the internship suggests an immersive experience where interns can directly observe and participate in the day-to-day operations and culture of the company, facilitating stronger team integration and learning.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and application, focusing on academic background, relevant coursework, and any project experience in UX research or related fields.

• Skills Assessment: Likely includes interviews with UX researchers and potentially product managers to assess understanding of UX research methodologies, analytical thinking, and communication skills.

• Portfolio Review: Candidates will likely be asked to present their portfolio, showcasing past research projects, emphasizing their process, findings, and impact. This is a critical step for evaluating practical application of skills.

• Behavioral/Situational Questions: Questions assessing problem-solving abilities, collaboration style, curiosity about AI, and passion for enterprise B2B products.

• Final Round: Potentially with senior product leadership to discuss the capstone project concept or overall fit. Portfolio Review Tips:

• Showcase Process: Clearly articulate the steps taken in your research projects, from defining the problem to analyzing data and presenting findings.

• Highlight Impact: Even for academic projects, explain what was learned and how it could influence design or product decisions. Quantify where possible.

• Demonstrate Analytical Skills: Explain how you synthesized complex data into actionable insights.

• Visual Storytelling: Use visuals (screenshots, diagrams, charts) effectively to communicate your research process and findings.

• AI Integration: If applicable, highlight any use of AI tools in your research or your understanding of AI's role in UX research.

• B2B Focus: If possible, tailor examples or discussions to complex workflows or enterprise scenarios. Challenge Preparation:

• Be prepared to discuss your understanding of AI in UX research and how you would approach researching AI-driven features.

• Practice articulating your research process and findings concisely, as you may be asked to present a case study or a hypothetical research plan.

• Research Sprinklr's products and the Unified-CXM space to understand the context of the research you might be conducting.

• Be ready to discuss your interest in enterprise B2B workflows and how they differ from B2C.

📝 Enhancement Note: The emphasis on a "capstone project" means the portfolio should ideally include a well-documented research project that can serve as a basis for discussion or even be expanded upon during the internship. The interview process will heavily weigh practical application and communication skills.

🛠 Tools & Technology Stack

Primary Tools:

• User Testing Platforms: UserTesting, UserZoom (for conducting remote usability tests and gathering feedback).

• Survey Tools: Qualtrics, Typeform (for designing and distributing surveys for data collection).

• Collaboration & Prototyping: Figma, Miro (for collaborative design, ideation, and research synthesis). Analytics & Reporting:

• While not explicitly listed for research, familiarity with data analysis tools and reporting dashboards is beneficial. The role requires synthesizing quantitative data, so any experience with spreadsheet software (Excel, Google Sheets) or basic data visualization tools would be a plus. CRM & Automation:

• Not directly a focus for this UX research role, but understanding that Sprinklr's platform integrates various aspects of customer experience management is relevant. Familiarity with how user data is collected and utilized across different customer touchpoints could be advantageous. AI Tools:

• The description explicitly mentions an eagerness to learn and adopt AI tools to streamline the research pipeline, such as automated synthesis and transcript analysis. Candidates should express curiosity and willingness to explore AI applications in research.

📝 Enhancement Note: Proficiency in the listed UX research tools is a strong requirement. The mention of AI tools indicates a forward-thinking approach by Sprinklr, and candidates should express enthusiasm for leveraging these emerging technologies in their research practice.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A core value driving the focus on delivering exceptional customer experiences.

• Trust, Teamwork, and Accountability: These are the pillars of Sprinklr's internal culture, emphasizing reliable collaboration and ownership.

• Data-Driven Approach: Research findings and metrics are crucial for informing decisions and measuring impact.

• Efficiency and Process Optimization: The pursuit of streamlined workflows and effective research operations is key.

• Innovation and AI Adoption: A commitment to leveraging cutting-edge technology like AI to enhance products and processes. Collaboration Style:

• Cross-functional Integration: Strong emphasis on working collaboratively across UX, Product Management, Engineering, and other departments to ensure a unified approach to product development.

• Open Communication: Encouraging open dialogue and feedback exchange to foster continuous improvement and learning.

• Global Mindset: Working effectively with diverse teams across different geographies and time zones.

• Mentorship and Knowledge Sharing: A culture that supports learning from experienced colleagues and sharing insights within the team.

📝 Enhancement Note: Sprinklr's values suggest a dynamic and collaborative environment where individuals are encouraged to take ownership and contribute to a larger mission. The focus on "customer obsession" and "AI-native" provides a clear direction for the company's operational ethos.

⚡ Challenges & Growth Opportunities

Challenges:

• Researching Complex B2B Workflows: Understanding and translating intricate enterprise-level user journeys and technical constraints into actionable UX insights.

• Integrating AI into Research: Learning to effectively research AI-driven products and leveraging AI tools for research efficiency.

• Global Collaboration: Navigating communication and collaboration across different time zones and cultural nuances with US-based teams.

• Translating Data into Action: The challenge of synthesizing ambiguous qualitative and quantitative data into clear, impactful recommendations for product leadership. Learning & Development Opportunities:

• Deep Dive into Enterprise UX: Gaining specialized knowledge in designing for complex B2B SaaS platforms.

• AI in UX Research: Developing expertise in researching AI features and utilizing AI tools for research tasks.

• Professional Skill Enhancement: Participating in workshops focused on career branding, executive communication, and leadership development.

• Mentorship and Networking: Receiving guidance from experienced professionals and building a professional network within a leading tech company.

• Capstone Project: The opportunity to lead and present a significant research study, providing a valuable experience for future career steps.

📝 Enhancement Note: The challenges presented are typical for an intern stepping into a complex enterprise environment. The growth opportunities are substantial, particularly the structured mentorship and the chance to lead a research project, which can significantly boost an intern's profile.

💡 Interview Preparation

Strategy Questions:

• "Describe a challenging UX research project you've worked on. What was your role, what methods did you use, and what were the outcomes?" (Focus on process, data synthesis, and impact).

• "How would you approach researching a new AI feature for an enterprise platform? What specific considerations would you have for user trust and AI hallucination?" (Demonstrate AI curiosity and research methodology).

• "Imagine you've gathered conflicting qualitative and quantitative data. How would you synthesize this to present a clear recommendation to product leadership?" (Highlight analytical and communication skills). Company & Culture Questions:

• "Why are you interested in UX research, and specifically in an enterprise B2B SaaS environment like Sprinklr?" (Showcase alignment with company focus).

• "How do you see AI transforming the field of UX research, and how are you preparing yourself to work with AI tools and AI-driven products?" (Assess AI mindset and proactivity).

• "Describe a time you had to collaborate with a diverse team to achieve a common goal. What was your approach?" (Evaluate teamwork and cross-functional collaboration). Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly explain the problem, your approach/methodology, key findings, and the impact or recommendations.

• Highlight Your Role: Emphasize your specific contributions, especially if it was a team project.

• Showcase Data Synthesis: Explain how you moved from raw data to actionable insights. Use clear visualizations.

• Be Ready for Questions: Anticipate questions about your process, challenges faced, and alternative approaches you considered.

• Connect to Sprinklr: If possible, draw parallels between your past work and the challenges Sprinklr might be facing.

📝 Enhancement Note: Interviewers will be looking for a combination of foundational research skills, a strong analytical mindset, excellent communication abilities, and genuine curiosity about AI and complex enterprise products. The portfolio presentation is a critical opportunity to demonstrate practical application.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link.

• Tailor your resume: Highlight academic projects, coursework, and any experience related to UX research, data analysis, user interviews, and usability testing. Emphasize any exposure to AI concepts or enterprise software.

• Prepare your portfolio: Curate 1-2 strong projects that demonstrate your research process from start to finish. Focus on clear documentation of methodology, data synthesis, and actionable insights. Ensure it's easily accessible (e.g., PDF, personal website, or shared drive).

• Practice your presentation: Be ready to walk through your portfolio projects during interviews, focusing on your process, learnings, and potential impact. Practice articulating your thoughts on AI in UX research and B2B enterprise challenges.

• Research Sprinklr: Understand their Unified-CXM platform, their mission, and their focus on AI. This will help you tailor your answers and demonstrate genuine interest.

⚠️ 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.