UX Research Intern (2027)

Lyft
Full-timeβ€’$40-48/hour (CAD)β€’Toronto, Canada

πŸ“ Job Overview

Job Title: UX Research Intern (2027)

Company: Lyft

Location: Toronto, Ontario, Canada

Job Type: Internship

Category: User Experience (UX) Research Operations

Date Posted: September 11, 2026

Experience Level: Entry Level (0-2 years)

Remote Status: Hybrid

πŸš€ Role Summary

  • This internship focuses on conducting user experience research to inform product development for Lyft's driver and rider platforms.

  • You will gain hands-on experience in designing and executing qualitative and quantitative research studies.

  • The role involves close collaboration with cross-functional teams, including Design, Product Management, Analytics, and Engineering, to translate user insights into actionable recommendations.

  • You will contribute directly to user-facing products, working alongside experienced researchers in a fast-paced, collaborative environment.

πŸ“ Enhancement Note: While the role is titled "UX Research Intern," the responsibilities and required skills align with foundational operations within a product development lifecycle, specifically focusing on the "voice of the customer" and data-driven decision-making for product enhancements. This role is critical for informing the GTM strategy by understanding user needs and pain points.

πŸ“ˆ Primary Responsibilities

  • Design and conduct qualitative and quantitative user experience research studies, including ethnographic and field research, diary studies, surveys, and usability testing (remote and in-person).

  • Analyze qualitative and quantitative data to identify key user behaviors, attitudes, and pain points.

  • Generate tactical and strategic insights and actionable recommendations to drive product innovation and design improvements for Lyft's driver and rider platforms.

  • Partner with Design, Product Management, Analytics, and Engineering teams to ensure research findings are effectively integrated into product roadmaps and development cycles.

  • Communicate research results and recommendations clearly and concisely to stakeholders across the organization through compelling presentations and reports.

  • Participate in research studies alongside senior researchers, actively seeking mentorship and learning opportunities.

  • Contribute to the continuous improvement of research methodologies and best practices within the UX Research team.

πŸ“ Enhancement Note: The emphasis on "tactical and strategic insights" and "actionable recommendations" highlights the operational impact of this role, directly influencing product strategy and go-to-market efforts by ensuring user-centricity.

πŸŽ“ Skills & Qualifications

Education: Currently pursuing a Master's or PhD degree in Human-Computer Interaction, Anthropology, Design, Psychology, Cognitive Science, or a related field from a university in Canada. Graduation date between December 2027 and Summer 2028 is required.

Experience:

  • Demonstrated experience as a researcher or research coordinator for qualitative research studies or school-based research projects.

  • Experience in usability/user testing, surveys, field research, or user interviews. Required Skills:

  • Extraordinary organizational skills and a meticulous eye for detail.

  • Strong listening and analytical skills; proactive troubleshooter.

  • Excellent written and verbal communication skills for clear articulation of research findings and recommendations.

  • Team player with a strong ability to collaborate effectively within a cross-functional environment.

  • Enthusiasm for a collaborative, highly energetic, fun, and fast-paced environment.

  • Proficiency in designing and conducting qualitative research methodologies. Preferred Skills:

  • Research experience with mobile technology.

  • Experience conducting qualitative research in applied research settings, ideally within a Product organization.

  • Experience designing surveys and experimental research.

  • Experience analyzing large datasets using appropriate statistical methods.

  • Experience using Qualtrics or SurveyMonkey for survey design and data collection.

  • Experience cleaning, handling, and transforming data in Microsoft Excel and/or Google Sheets.

  • Familiarity with SQL, R, and/or other data analysis software (e.g., SPSS).

  • Experience with research participant recruitment and management practices.

  • Exposure to design thinking, visual communication, information design, or wireframing skills.

πŸ“ Enhancement Note: The requirement for a Master's or PhD degree and the specific graduation timeline (December 2027 - Summer 2028) clearly define this as a highly competitive internship for advanced students. The "Bonus Points" section details a strong preference for candidates with practical, applied research experience, particularly within product development contexts, which is crucial for demonstrating operational readiness.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase examples of research projects that demonstrate a clear understanding of the research process from planning to reporting.

  • Include case studies detailing how your research insights directly influenced design decisions or product strategy.

  • Highlight your ability to adapt research methodologies to different project needs and constraints.

  • Demonstrate experience in synthesizing complex qualitative data into clear, actionable recommendations. Process Documentation:

  • Document the steps taken in designing and executing research studies, including methodology selection, participant recruitment, and data collection.

  • Illustrate how you analyzed and interpreted qualitative and quantitative data to derive meaningful insights.

  • Provide examples of how you presented research findings and recommendations to stakeholders, emphasizing clarity and impact.

  • Showcase any experience with research tools or systems used for data collection, analysis, or reporting.

πŸ“ Enhancement Note: While a formal "portfolio" may not be explicitly requested in the initial application, candidates are expected to articulate their research process and impact during interviews. Preparing a concise presentation or a few detailed case studies that highlight the research lifecycle, analytical rigor, and the actionable nature of their findings will be critical for demonstrating their operational capabilities.

πŸ’΅ Compensation & Benefits

Salary Range: CAD $40 - CAD $48 per hour.

Benefits:

  • Mental health benefits.

  • Paid time off (2 days) and sick time off (3 days) in addition to holidays.

  • Subsidized commuter benefits.

  • Lyft ride credits.

Working Hours: Approximately 40 hours per week, with an expectation of working in the office at least 3 days per week (Mondays, Wednesdays, and Thursdays) as part of a hybrid schedule.

πŸ“ Enhancement Note: The salary range provided is based on the information published by Lyft for this role in the Toronto area. This range is competitive for an internship position in the tech sector, particularly in a major city like Toronto, and reflects the specialized skills and academic level required. The hybrid work model, with specific in-office days, indicates a structured approach to fostering collaboration and team cohesion within the operations of the UX Research department.

🎯 Team & Company Context

🏒 Company Culture

Industry: Transportation Technology / Ride-Sharing. Lyft operates in a dynamic and rapidly evolving market, requiring agility and continuous innovation in its product offerings and user experience. This industry context means that operations roles, including UX Research, must be adaptable and data-driven to stay ahead of competition and user expectations.

Company Size: Large organization with a significant global presence, indicated by operations across "300+ cities nationwide" and a large employee base. This size implies established processes, cross-functional teams, and opportunities for broad impact.

Founded: Lyft was founded in 2012, indicating a company with significant growth and established operational frameworks, yet still retaining aspects of a fast-paced, innovative tech environment.

Team Structure:

  • The UX Research team is part of a larger product development organization, likely embedding researchers within specific product areas or feature teams.

  • The team collaborates closely with Design, Product Management, Analytics, and Engineering, indicating a highly integrated, cross-functional operational model.

  • Reporting structure likely involves a manager or lead UX Researcher, with interns working under the guidance of more senior researchers. Methodology:

  • Emphasis on user-centricity and data-driven decision-making to improve the user experience for drivers and riders.

  • Application of a wide range of qualitative and quantitative research methods to gather deep user insights.

  • A collaborative approach to research, encouraging knowledge sharing and collective problem-solving within the product teams.

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

πŸ“ Enhancement Note: Lyft's culture is described as one that "aspires to elevate the user experience" and "cultivates a work environment where all team members belong and have the opportunity to thrive." For an operations intern, this translates to an environment that values user feedback, fosters collaboration, and provides opportunities for professional growth within a mission-driven company. The hybrid work model emphasizes the importance of in-person collaboration for team cohesion and operational efficiency.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: This is an internship role, designed for individuals early in their career, specifically those pursuing postgraduate studies. It offers a foundational understanding of operational research within a large tech company.

Reporting Structure: Interns will report to senior UX Researchers, who in turn likely report to a UX Research Manager or Director. This structure allows for direct mentorship and guidance on research operations and project execution.

Operations Impact: UX Research interns contribute directly to product strategy by providing critical user insights. This impact influences design decisions, feature development, and ultimately, the user experience of millions of riders and drivers, directly affecting customer satisfaction and retention – key operational metrics for Lyft.

Growth Opportunities:

  • Operations Skill Development: Gain practical experience in designing, conducting, and analyzing qualitative and quantitative research studies, enhancing core UX research operations skills.

  • Industry Exposure: Work within a leading transportation technology company, learning about product development cycles, cross-functional collaboration, and the operational nuances of a large-scale tech organization.

  • Mentorship & Networking: Benefit from mentorship by experienced UX Researchers, building professional connections within the industry and potentially opening doors for future opportunities.

  • Career Path Exploration: Experience a role in UX Research, a critical function within product operations, to inform career aspirations in research, design, product management, or related fields.

πŸ“ Enhancement Note: This internship is positioned as a stepping stone, providing interns with a comprehensive overview of how research operations contribute to product success. The emphasis on mentorship and practical application of research methodologies suggests a structured learning path designed to develop future operations talent.

🌐 Work Environment

Office Type: The role is based in Toronto and operates on a hybrid schedule, requiring at least 3 days per week in the office (Mondays, Wednesdays, and Thursdays). This indicates a modern office environment designed to foster collaboration and team interaction.

Office Location(s): Toronto, Ontario, Canada. Specific office address details would typically be provided upon commencement of employment or during the interview process.

Workspace Context:

  • Collaborative Environment: The hybrid model and emphasis on collaboration suggest an office space designed for teamwork, with ample meeting rooms and common areas.

  • Operations Tools & Technology: Interns will likely have access to the necessary software and hardware for UX research, including laptops, potentially specialized testing equipment, and access to internal research platforms and tools.

  • Team Interaction: The requirement to be in the office on specific days ensures regular interaction with senior researchers, design teams, and product managers, facilitating knowledge sharing and real-time problem-solving.

Work Schedule: Approximately 40 hours per week, with a structured hybrid model requiring specific days in the office. This schedule balances project needs with flexibility, allowing for focused work and collaborative sessions.

πŸ“ Enhancement Note: The hybrid work arrangement is a key aspect of the work environment, emphasizing Lyft's commitment to both in-person collaboration and employee flexibility. For an operations intern, understanding and adapting to this model is crucial for effective team integration and contribution.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: Application review, potentially including AI screening, followed by a recruiter screen to assess basic qualifications and fit.

  • Hiring Manager/Team Interview: Typically involves a conversation with the hiring manager or a senior researcher to delve deeper into your experience, research methodologies, and understanding of UX research principles.

  • Case Study/Project Presentation: You may be asked to present a past research project from your academic work or prior experience. This is an opportunity to showcase your research process, analytical skills, and ability to derive actionable insights. Focus on demonstrating your understanding of the research lifecycle and your impact.

  • Cross-functional Team Interview: Potentially includes interviews with members from Design, Product Management, or Engineering to assess collaboration skills and ability to work effectively within a product team.

  • Final Round: May involve a final discussion with a senior leader to assess overall fit and potential.

Portfolio Review Tips:

  • Focus on Process: Clearly articulate the research problem, your methodology, the steps you took, and the rationale behind your choices.

  • Highlight Impact: Quantify or clearly describe the impact of your research on product decisions or user experience improvements. Use metrics where possible.

  • Showcase Analytical Skills: Demonstrate your ability to synthesize complex qualitative data into clear, actionable insights.

  • Tailor to Lyft: If possible, draw parallels between your past projects and Lyft's products or user base. Understand Lyft's mission and how research contributes to it.

  • Conciseness: Be prepared to present your most impactful work concisely and effectively within a limited timeframe.

Challenge Preparation:

  • Be prepared to discuss hypothetical research scenarios related to Lyft's products (e.g., improving the driver onboarding experience, understanding rider safety concerns).

  • Think about how you would approach research problems, what methods you would use, and how you would measure success.

  • Practice articulating your thought process clearly and logically.

πŸ“ Enhancement Note: The application and interview process for an internship at a company like Lyft will be rigorous. Candidates should prepare to demonstrate not only their technical research skills but also their ability to think critically, solve problems, and collaborate effectively within an operations context. A well-prepared portfolio or presentation of past work is essential for showcasing practical application of research principles.

πŸ›  Tools & Technology Stack

Primary Tools:

  • Research Design & Execution: Qualtrics, SurveyMonkey (preferred for survey design and data collection).

  • Data Analysis (Qualitative): Tools for thematic analysis, note-taking, and synthesis (e.g., NVivo, Dovetail, or even advanced Excel/Google Sheets for coding and categorization).

  • Data Analysis (Quantitative): Microsoft Excel, Google Sheets (for data cleaning and basic analysis), SQL, R, SPSS (preferred for statistical analysis of larger datasets).

  • Collaboration & Communication: Slack, Google Workspace (Docs, Sheets, Slides), potentially internal project management tools.

  • Prototyping/Design Tools (Familiarity): While not primary research tools, understanding tools like Figma or Sketch can be beneficial for interpreting design outputs.

Analytics & Reporting:

  • Experience with data visualization tools (e.g., Tableau, Looker) may be beneficial for understanding how research insights are integrated into dashboards.

  • Proficiency in summarizing and presenting data effectively is key. CRM & Automation:

  • While direct CRM interaction might be limited for an intern, understanding how user data is managed and how research findings can feed into customer segmentation or journey mapping is valuable.

πŸ“ Enhancement Note: The "Bonus Points" section provides a strong indication of the desired technical proficiencies. Candidates with hands-on experience with survey platforms like Qualtrics and data analysis tools such as Excel, SQL, and R will have a distinct advantage, as these are foundational for operationalizing research insights.

πŸ‘₯ Team Culture & Values

Operations Values:

  • User-Centricity: A deep commitment to understanding and advocating for the user (both drivers and riders) in all product decisions. This means research findings are paramount.

  • Collaboration: A strong emphasis on working together across disciplines (Design, Product, Engineering, Analytics) to achieve shared goals and drive product innovation.

  • Data-Driven Decisions: Valuing evidence-based insights derived from research to inform strategy and development, rather than relying solely on intuition.

  • Belonging and Inclusion: Cultivating an environment where all team members feel welcome, respected, and have opportunities to contribute and grow. This extends to how research participants are treated and how diverse user groups are represented.

  • Agility and Speed: Operating in a fast-paced tech environment means being able to conduct research efficiently and deliver insights in a timely manner to support product roadmaps.

Collaboration Style:

  • Cross-functional Integration: Researchers are expected to be embedded within product teams, working closely with PMs and Designers daily.

  • Open Communication: Encouraging open dialogue, feedback, and knowledge sharing between team members and across departments.

  • Iterative Process: Embracing feedback loops and iterative development, where research findings inform ongoing design and product iterations.

πŸ“ Enhancement Note: Lyft's stated purpose, "to serve and connect," combined with their emphasis on belonging and thriving, suggests a culture that values both impact and individual growth. For an operations intern, understanding how these values translate into daily workβ€”e.g., how research findings are shared, debated, and acted uponβ€”is crucial.

⚑ Challenges & Growth Opportunities

Challenges:

  • Balancing Research Rigor with Speed: Delivering high-quality, actionable insights within tight product development timelines. This requires efficient planning and execution of research operations.

  • Synthesizing Diverse Data: Integrating qualitative insights with quantitative data from various sources (e.g., analytics, surveys) to form a holistic understanding of user behavior.

  • Communicating Insights Effectively: Translating complex research findings into clear, compelling narratives that resonate with diverse stakeholders and drive action.

  • Navigating a Fast-Paced Environment: Adapting quickly to changing priorities and project scopes inherent in a dynamic tech company.

Learning & Development Opportunities:

  • Mastering Research Methodologies: Gaining practical, hands-on experience with a wide array of qualitative and quantitative research techniques.

  • Understanding Product Development Operations: Learning how UX research fits into the broader product development lifecycle and influences business strategy.

  • Developing Communication and Presentation Skills: Honing the ability to articulate research findings and recommendations to senior leadership and cross-functional teams.

  • Networking and Mentorship: Building relationships with experienced professionals in the UX research and product development fields.

πŸ“ Enhancement Note: The challenges presented are typical for roles in product operations, requiring individuals to be adaptable, analytical, and strong communicators. The growth opportunities are directly tied to developing these core competencies within a real-world operational context.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "Describe a time you had to balance research rigor with a tight deadline. How did you prioritize your methods and ensure actionable insights were delivered?" (Assesses operational efficiency and prioritization skills.)

  • "Imagine we want to understand why users are dropping off during the Lyft ride booking process. How would you approach researching this problem, and what methods would you use?" (Tests research design and problem-solving abilities.)

  • "How do you ensure your research findings are communicated effectively to stakeholders with different backgrounds (e.g., engineers vs. marketing)?" (Evaluates communication and stakeholder management skills.) Company & Culture Questions:

  • "What interests you about Lyft's mission and products, and how do you see UX research contributing to our goals?" (Assesses alignment with company values and understanding of the role's impact.)

  • "Describe your ideal team environment for conducting research. How do you prefer to collaborate with designers, product managers, and engineers?" (Gauges cultural fit and collaboration style.)

  • "How do you stay updated on the latest trends in UX research and technology?" (Evaluates commitment to continuous learning and professional development.) Portfolio Presentation Strategy:

  • Structure: Start with the business problem or research question, detail your methodology, present key findings with supporting evidence (e.g., quotes, video clips if applicable), and conclude with clear, actionable recommendations.

  • Impact: Clearly articulate the "so what?" of your research. How did it influence a decision or improve a user experience? Quantify impact if possible.

  • Conciseness: Practice presenting your chosen case study within the allotted time, focusing on the most critical aspects of your work.

  • Q&A Readiness: Anticipate questions about your methodology, challenges faced, alternative approaches, and the impact of your work.

πŸ“ Enhancement Note: Preparation should focus on demonstrating an understanding of how research operations contribute to product success. Candidates should be ready to articulate their process, analytical thinking, and ability to translate findings into actionable insights that drive business outcomes for Lyft.

πŸ“Œ Application Steps

To apply for this UX Research Intern position:

  • Submit your application through the provided link, ensuring all required fields are completed accurately.

  • Tailor your resume: Highlight relevant coursework, academic research projects, and any prior internship or work experience that demonstrates your skills in qualitative and quantitative research, data analysis, and communication. Use keywords from the job description.

  • Prepare your portfolio/examples: Have 1-2 academic research projects ready to discuss in detail. Focus on articulating your research process, the insights you generated, and their impact. If you don't have a formal portfolio, be ready to walk through these projects verbally with clear slides or documents.

  • Research Lyft: Understand Lyft's mission, products, and target users (riders and drivers). Consider how UX research contributes to their ongoing success and innovation.

  • Practice your story: Be ready to articulate why you are passionate about UX research, why Lyft, and what you hope to learn and contribute during the internship. Practice your presentation for potential case study discussions.

⚠️ 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.

Application Requirements

Candidates must be currently pursuing a Master's or PhD in a relevant field at a Canadian university with a graduation date between December 2027 and Summer 2028. You must have strong analytical skills and be available for an in-office internship in Toronto during Summer 2027.