A User Experience Researcher at MathWorks plays a critical role in shaping the highly technical products that power modern engineering and scientific discovery. Unlike consumer-facing UX roles, research at MathWorks focuses on complex, specialized workflows used by engineers, scientists, and researchers worldwide. You will be responsible for understanding how users interact with sophisticated tools like MATLAB and Simulink, translating their highly technical needs into actionable design insights that drive product development.

In this role, your impact spans across deep technical domains, including control systems, signal processing, deep learning, and physical modeling. Because the target audience consists of domain experts who solve highly complex mathematical and engineering problems, your research must go beyond surface-level usability. You will dive deep into cognitive workflows, mental models, and technical pain points to ensure that MathWorks software remains both powerful and intuitive.

The User Experience Researcher position is highly collaborative, requiring you to act as a bridge between users, software developers, product managers, and UX designers. By championing user-centered design in an engineering-centric organization, you will directly influence the product roadmap and help define the future of scientific computing.

Preparing for the specific types of questions asked during the MathWorks hiring process is essential for success. The questions below are representative of real interview experiences and highlight the key areas you will be evaluated on, ranging from your technical research methodology to your ability to handle ambiguous, hypothetical scenarios.

Research Methodology & Execution

This category evaluates your ability to select, design, and execute the right research methods for complex, technical software products.

• Describe a time when you had to research a highly technical or specialized user base. How did you build domain knowledge quickly?
• How do you determine whether a qualitative or quantitative approach is best suited for a highly complex software workflow?

To succeed in the MathWorks interview process, you must demonstrate a unique blend of user research expertise, analytical thinking, and the ability to navigate a highly technical product landscape. Your preparation should focus on showing how you can add immediate value to an engineering-driven culture.

Role-Related Knowledge – You must prove your mastery of a wide range of qualitative and quantitative user research methodologies. Be prepared to discuss how you select participants, design study protocols, analyze complex data, and translate those findings into actionable product requirements for technical tools.

Problem-Solving & Ambiguity – MathWorks interviewers frequently use hypothetical scenarios to evaluate how you structure your thoughts under pressure. You should focus on establishing a clear framework, making logical assumptions when data is limited, and walking the interviewer through your decision-making process step-by-step.

Stakeholder Collaboration & Influence – Because the UX team at MathWorks collaborates closely with highly analytical software developers and product managers, you must show that you can speak their language. Focus on demonstrating how you use data, clear communication, and empathy to build trust and advocate for the user across different departments.

Cultural Alignment & Adaptability – MathWorks values continuous learning, academic rigor, and collaborative problem-solving. You should highlight your curiosity, your willingness to learn complex technical domains, and how you adapt your communication style to work effectively within an evolving UX organization.

The interview process for a User Experience Researcher at MathWorks is thorough and designed to evaluate both your practical research capabilities and your alignment with the company's collaborative culture. Candidates can expect a multi-stage journey that moves from initial screening to deep technical and behavioral evaluations.

The process typically begins with a recruiter review, which may include a detailed questionnaire focusing on your technical experience and research background before scheduling a live conversation. This is followed by a recruiter screen and a hiring manager interview—who may sometimes be a UX Designer leading a growing research initiative. The final stages involve a series of panel interviews focusing on portfolio reviews, hypothetical problem-solving, and cross-functional collaboration.

The timeline above outlines the typical progression of a candidate through the MathWorks hiring pipeline. Candidates should use this visual roadmap to pace their preparation, ensuring they allocate sufficient time to complete the initial technical experience questionnaire and prepare for the intensive panel interviews. While the process is highly structured, the exact timing can vary depending on the location, seniority of the role, and the specific product team you are interviewing for.

To pass the MathWorks interview panels, you must perform exceptionally well across several core evaluation areas. Understanding what interviewers look for in each of these areas will help you tailor your portfolio and responses effectively.

Technical Domain Translation

This area evaluates your ability to understand, simplify, and conduct research on highly complex, domain-specific workflows without being a subject matter expert yourself.

Be ready to go over:

• Cognitive Task Analysis – Breaking down complex scientific and engineering workflows into structured mental models.
• Domain Immersion – Your strategy for quickly learning specialized technical concepts, terminologies, and user behaviors.
• Expert-User Research – Tailoring research methodologies to effectively engage with highly educated and specialized users, such as data scientists, system engineers, or academic researchers.

Example scenarios:

• "Walk us through a time when you had to conduct research on a product or workflow that you had zero prior experience with. How did you ensure your findings were accurate and valuable?"
• "How would you design a usability study for a highly technical feature, such as a physical modeling tool in Simulink, where the users have PhDs in engineering?"

Research Design under Ambiguity

This area tests your ability to formulate structured, logical research plans even when faced with incomplete information, limited context, or vague product requirements.

Be ready to go over:

• Hypothesis Generation – Formulating clear, testable hypotheses based on ambiguous product goals.
• Structured Frameworks – Using standard UX research frameworks to organize your thoughts and approach hypothetical questions methodically.
• Assumption Testing – Explicitly calling out the assumptions you are making during a case study and explaining how you would validate them.
• Advanced concepts – Triangulating qualitative user feedback with quantitative telemetry data in highly complex, multi-tool software environments to identify systemic usability friction.

Example scenarios:

• "If you are asked to design a research study for an entirely new, unreleased developer tool but have no access to existing user data or product documentation, what are your first three steps?"
• "How do you handle a hypothetical design problem during the interview when the interviewer purposefully avoids giving you background context or user personas?"

Cross-Functional Collaboration & UX Advocacy

This area assesses your ability to work alongside software engineers, designers, and product managers, particularly in organizations where UX maturity is still actively growing and evolving.

Be ready to go over:

• Influencing Without Authority – Using research data and user insights to persuade skeptical engineering teams to make user-centric product changes.
• Translating Insights – Converting academic or highly detailed research findings into clear, actionable, and prioritized development tasks.
• Co-Design and Workshops – Facilitating collaborative sessions between researchers, designers, and developers to foster a shared understanding of user needs.

Example scenarios:

• "Describe a situation where a lead software developer was highly skeptical of your usability test results. How did you handle the situation and ensure the user's voice was heard?"
• "How do you collaborate with a UX Designer to ensure your research insights are directly translated into wireframes and interactive prototypes?"

As a User Experience Researcher at MathWorks, your day-to-day responsibilities will center on driving user-centered design practices across a variety of technical product lines. You will own the research lifecycle from end to end, ensuring that the needs of engineers and scientists are represented in every product decision.

Your primary responsibilities will include:

• Partnering with product managers, UX designers, and development leads to identify key research questions and define learning objectives for core desktop, web, and cloud workflows.
• Designing and conducting qualitative and quantitative user research studies, including usability testing, contextual inquiries, cognitive walkthroughs, surveys, and heuristic evaluations.
• Analyzing complex qualitative and quantitative data to identify usability issues, user pain points, and opportunities for workflow optimization.
• Creating and sharing compelling research deliverables, such as user personas, journey maps, workflow diagrams, and research reports, that clearly communicate user needs to technical stakeholders.
• Collaborating with the broader UX team to help establish and scale research methodologies, design patterns, and user-centered best practices across the organization.

You will work closely with cross-functional teams, often acting as the voice of the user in meetings dominated by technical implementation discussions. Your ability to translate deep user insights into clear, actionable design recommendations will directly impact how millions of engineers and scientists solve some of the world's most challenging technical problems.