Consumer Insights Intern

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.