Introduction:
This is a unique opportunity to blend user research, behavioral science, experimentation, and data analysis at a fast-growing robotics startup. You'll work closely with Product, Engineering, Design, and Operations to design and execute consumer studies that directly influence the future of our customer experience.
*This is an on site position for our office in Burlington, MA. The internship is intended to run 3-6 months*
What You'll Do- Design and execute consumer research studies focused on self-service user experiences.
- Develop test methodologies and experimental frameworks to answer key product questions.
- Recruit, organize, and moderate user interview groups and usability sessions.
- Plan and coordinate testing logistics for our internal ManiLab consumer testing environment.
- Lead day-of testing activities, ensuring smooth execution and high-quality data collection.
- Collect both qualitative and quantitative customer feedback through interviews, surveys, observations, and product usage data.
- Analyze research findings using statistical methods to identify meaningful trends and actionable insights.
- Build reports and presentations that clearly communicate recommendations to Product, Engineering, and Leadership teams.
- Partner with cross-functional teams to prioritize experiments and measure the impact of product improvements.
- Help establish best practices for experimentation, user research, and consumer insight generation as our testing program scales.
What you have- Currently pursuing (or recent grad with) a Bachelor's, Master's, or MBA in Psychology, Behavioral Economics, Human Factors, Marketing, Consumer Insights, Statistics, Data Science, Industrial Engineering, Business Analytics, or a related field.
- Strong interest in consumer behavior, experimentation, product research, or UX research.
- Experience designing surveys, user interviews, or research studies through coursework or previous internships.
- Comfortable working with data and applying statistical thinking to draw conclusions.
- Familiarity with Excel, Google Sheets, SPSS, R, Python, SQL, or similar analytical tools is a plus.
- Excellent communication skills with the ability to translate research into clear recommendations.
- Highly organized and excited to work in a fast-paced startup environment where no two days are the same.
- Comfortable interacting directly with customers and facilitating research sessions.