UX215 VS: UX Research Methods II (Fall 2026)

Wilfrid Laurier University
Full-timeโ€ขUnorganized Rainy River, Canada

๐Ÿ“ Job Overview

Job Title: UX215 VS: UX Research Methods II (Fall 2026)

Company: Wilfrid Laurier University

Location: Unorganized Rainy River, Ontario, Canada

Job Type: Part-time, Contract, Temporary

Category: Education / User Experience Design

Date Posted: May 22, 2026

Experience Level: Mid-Level (implied by Master's/PhD requirement and teaching experience)

Remote Status: Remote Solely (Virtual Synchronous Delivery)

๐Ÿš€ Role Summary

  • This role involves instructing a university-level course on advanced User Experience (UX) research methodologies, specifically focusing on quantitative approaches.

  • Key responsibilities include delivering virtual synchronous lectures, guiding students through data collection and analysis techniques for UX, and fostering a learning environment that emphasizes data-driven design decisions.

  • The position requires a strong academic background in UX or related fields, coupled with practical experience in applied quantitative research and a proven ability to teach effectively at the post-secondary level.

  • Success in this role will be measured by student learning outcomes, effective delivery of course content, and the ability to mentor students in selecting and applying appropriate UX metrics.

๐Ÿ“ Enhancement Note: The job title and description clearly indicate an academic teaching role within a university setting, not a traditional corporate Revenue Operations, Sales Operations, or GTM role. The "VS" likely denotes a "Virtual Synchronous" course. The location "Other, CA" combined with derived locations suggests a remote teaching position for a Canadian university, with the salary reflecting a course stipend rather than an annual salary. The focus is on academic instruction and research methodology rather than business operations optimization.

๐Ÿ“ˆ Primary Responsibilities

  • Deliver engaging and informative virtual synchronous lectures on quantitative UX research methods, building upon foundational knowledge from UX115.

  • Guide students in the selection and application of appropriate metrics for assessing usability, utility, and user satisfaction with products and services.

  • Instruct students on the systematic collection, analysis, and presentation of summative UX data.

  • Facilitate student learning in justifying design decisions through robust quantitative data and evidence.

  • Develop and implement effective teaching strategies to foster critical thinking and practical application of UX research principles.

  • Evaluate student performance through assignments, projects, and potentially exams, providing constructive feedback.

  • Maintain currency with industry best practices and relevant tools in quantitative UX research.

  • Contribute to a positive and inclusive learning environment, adhering to university policies and values.

๐Ÿ“ Enhancement Note: These responsibilities are derived from the course description and common duties of an academic instructor. The emphasis on "quantitative methods," "metrics," and "data-driven decisions" aligns with operational aspects of UX but within an educational context.

๐ŸŽ“ Skills & Qualifications

Education:

  • Master's Degree in User Experience, Human-Computer Interaction, Human Factors, Cognitive Psychology, Interaction Design, or a related field is required.

Experience:

  • Teaching experience at the college or university level in UX quantitative research or a related area is required.

  • Applied quantitative research practice involving human subjects is required.

Required Skills:

  • Expertise in quantitative UX research methodologies (e.g., surveys, A/B testing, statistical analysis).

  • Proficient in selecting and defining key UX metrics (usability, utility, satisfaction).

  • Strong understanding of data analysis techniques and interpretation for UX insights.

  • Ability to effectively present complex data and research findings to diverse audiences.

  • Excellent lecture delivery and instructional design skills for virtual synchronous environments.

  • Demonstrated ability to teach applied research methods involving human subjects.

Preferred Skills:

  • Proficiency with current industry-standard UX research tools and software for quantitative analysis.

  • Commitment to promoting diversity, equity, and inclusion in the classroom and curriculum.

  • Up-to-date knowledge of emerging trends and best practices in quantitative UX research.

  • Experience with academic administration and university-level course management.

๐Ÿ“ Enhancement Note: The qualifications are directly extracted and synthesized from the provided text. The "experience level" is inferred from the requirement of a Master's degree and prior teaching/research experience, suggesting an individual beyond an entry-level academic position.

๐Ÿ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Candidates are expected to demonstrate a robust understanding of quantitative research processes through their CV and teaching dossier.

  • Evidence of applied research practice, particularly involving human subjects, is crucial for portfolio evaluation.

Process Documentation:

  • The "Candidate Application Form (CAF)" is the mandated document for detailing candidates' qualifications, experience, and teaching approach, effectively serving as a structured process documentation for the application.

  • Candidates are encouraged to submit a "Teaching Dossier" and "Sample Course Outline" (max 2 pages) as supplementary documentation to illustrate their process for curriculum delivery and pedagogical approach.

  • Evidence of "Official Course Evaluations" is required for external applicants, demonstrating a track record of successful process execution in teaching.

๐Ÿ“ Enhancement Note: The "Portfolio Essentials" and "Process Documentation" sections are interpreted through the lens of academic applications. The CAF, CV, Teaching Dossier, and Course Evaluations are the standard "portfolio" components for university instructors. The emphasis is on demonstrating pedagogical and research processes rather than business operational workflows.

๐Ÿ’ต Compensation & Benefits

Salary Range: $9,913.75 CAD (for the Fall 2026 term)

Benefits:

  • As this is a contract position for a specific academic term, standard university benefits (health insurance, retirement plans, etc.) are typically not included unless explicitly stated in the collective agreement for part-time faculty.

Working Hours:

  • 3 hours per week, totaling 36 hours for the Fall 2026 term.

  • Instruction is scheduled for Tuesdays and Thursdays from 5:30 PM to 6:50 PM.

  • This is a part-time, temporary appointment.

๐Ÿ“ Enhancement Note: The salary is a fixed amount for the term, not an annual salary. Canadian Dollar (CAD) is confirmed by the university's location. Specific benefits are not detailed, but general academic contract terms are inferred. The "working hours" are specifically defined by the course schedule and total hours.

๐ŸŽฏ Team & Company Context

๐Ÿข Company Culture

Industry: Higher Education - University

Company Size: Large (Wilfrid Laurier University is a multi-campus institution with thousands of employees and tens of thousands of students).

Founded: 1911

Team Structure:

  • This role is within the Faculty of Liberal Arts, specifically the Department of User Experience Design.

  • The instructor will report to the Chair of the Part-time Appointment Committee and potentially the Department Chair.

Methodology:

  • The department focuses on both theoretical and applied aspects of User Experience Design, with this course emphasizing quantitative research methodologies.

  • Teaching methodologies will include lecture delivery, data analysis demonstrations, and fostering student-led inquiry.

  • The university values a commitment to diversity, equity, and inclusion, which is expected to be reflected in classroom practices.

Company Website: https://www.wlu.ca/

๐Ÿ“ Enhancement Note: Information about the university's size, founding, and industry is standard for enhancing context. The team structure is inferred from typical university departmental organization. The methodological focus is derived from the course description.

๐Ÿ“ˆ Career & Growth Analysis

Operations Career Level: Academic Instructor / Part-time Faculty (Contract)

Reporting Structure: Reports to the Part-time Appointment Committee Chair and potentially the Department Chair.

Operations Impact: The primary impact is on student learning and development in the field of UX research, contributing to the university's educational mission and the pipeline of future UX professionals. This role does not have a direct impact on business revenue operations, sales operations, or GTM strategies in a corporate sense.

Growth Opportunities:

  • Potential for future contract teaching opportunities within the User Experience Design department or related programs, based on performance and course availability.

  • Opportunities to develop and refine teaching materials and pedagogical approaches for UX research.

  • Networking with faculty and professionals in the UX and HCI fields.

  • Building a teaching portfolio that can support future academic or training roles.

๐Ÿ“ Enhancement Note: This section re-contextualizes "operations" to academic operations. Growth opportunities are framed within an academic career path.

๐ŸŒ Work Environment

Office Type: Virtual Synchronous Instruction (Remote)

Office Location(s): The position is remote, with instruction delivered online. The university has main campuses in Waterloo and Brantford, Ontario, Canada, but this specific role is virtual.

Workspace Context:

  • The instructor will require a stable internet connection, a suitable computer, and a quiet environment conducive to online teaching and student interaction.

  • Access to university learning management systems (e.g., MyLearningSpace) and virtual collaboration tools will be provided.

Work Schedule:

  • Fixed schedule: Tuesdays and Thursdays, 5:30 PM - 6:50 PM (Eastern Time), for the Fall 2026 term (September 1 - December 31, 2026).

  • Additional hours will be required for preparation, grading, and student support outside of scheduled lecture times.

๐Ÿ“ Enhancement Note: The "work environment" is clearly defined as remote and virtual, which is a key aspect of this academic role.

๐Ÿ“„ Application & Portfolio Review Process

Interview Process:

  • The process is managed by the Part-time Appointment Committee.

  • Applicants will be assessed based on their submitted CV, Candidate Application Form (CAF), and other required documents.

  • Academic qualifications, teaching experience, applied research experience, and alignment with the course content will be key evaluation criteria.

Portfolio Review Tips:

  • Candidate Application Form (CAF): Complete this form thoroughly, addressing each section with specific examples of your teaching experience, research projects (especially those involving human subjects and quantitative methods), and pedagogical approach. Tailor responses to the course description (UX215 VS).

  • Curriculum Vitae (CV): Ensure your CV clearly highlights your academic credentials (Master's/PhD), relevant teaching experience (courses taught, levels, institutions), publications, research projects, and any professional training or certifications in UX research.

  • Teaching Dossier (Optional): If submitted, this should include evidence of teaching effectiveness, such as sample course outlines, assignment examples, student feedback summaries, and a statement of teaching philosophy that aligns with the university's values.

  • Sample Course Outline (Optional): For UX215 VS, a sample outline should demonstrate how you would structure the quantitative research methods content, including learning objectives, weekly topics, and assessment methods.

  • Course Evaluations (Required for External Applicants): Organize and submit official course evaluations that showcase positive student feedback and teaching effectiveness.

Challenge Preparation:

  • While no specific "challenge" is mentioned, be prepared to discuss your teaching philosophy, your approach to teaching quantitative research methods, and how you would handle common student challenges in a virtual synchronous environment.

  • Familiarize yourself with the university's collective agreement (WLUFA) and assessment rubrics, as these are explicitly mentioned as part of the evaluation process.

๐Ÿ“ Enhancement Note: This section is tailored to an academic application process, emphasizing the CAF, CV, and teaching-related documentation. The "portfolio" is interpreted as academic credentials and teaching evidence.

๐Ÿ›  Tools & Technology Stack

Primary Tools:

  • Virtual Synchronous Delivery Platform: Likely a university-supported system such as Zoom, Microsoft Teams, or Webex for live lectures and interaction.

  • Learning Management System (LMS): Wilfrid Laurier University uses MyLearningSpace for course management, content distribution, assignment submission, and grade tracking.

  • Presentation Software: Microsoft PowerPoint, Google Slides, or similar for lecture content.

Analytics & Reporting:

  • Statistical Software: Candidates should be proficient with statistical analysis tools relevant to quantitative UX research. Examples include:

    • SPSS
    • R
    • Python (with libraries like Pandas, NumPy, SciPy)
    • JASP or Jamovi (for open-source statistical analysis)
  • Data Visualization Tools: Tools to present findings effectively, such as Tableau, Power BI, or built-in features within statistical software.

CRM & Automation:

  • Not directly applicable to this teaching role. The focus is on educational delivery and research methods, not business operations automation.

๐Ÿ“ Enhancement Note: The "Tools & Technology Stack" is focused on educational delivery and quantitative analysis tools, rather than business operations software.

๐Ÿ‘ฅ Team Culture & Values

Operations Values:

  • Academic Excellence: Commitment to high standards in teaching and research within the field of User Experience Design.

  • Data-Driven Insights: Emphasis on using quantitative data to inform understanding and decision-making in UX.

  • Inclusivity and Equity: Fostering a diverse and welcoming learning environment for all students, as per university policy.

  • Pedagogical Innovation: Encouraging effective and engaging teaching methods, particularly in a virtual environment.

  • Student Success: Dedicated to student learning and development in UX research methodologies.

Collaboration Style:

  • Collaboration with other faculty members in the User Experience Design department to ensure curriculum coherence and share best practices.

  • Interaction with university administration regarding course logistics, student support, and faculty relations.

  • Mentorship of students, providing guidance on research methods and career paths in UX.

๐Ÿ“ Enhancement Note: This section interprets "values" and "collaboration" within an academic and departmental context.

โšก Challenges & Growth Opportunities

Challenges:

  • Delivering Quantitative Concepts Virtually: Effectively teaching complex quantitative research methods and statistical analysis in a purely virtual synchronous format requires strong digital pedagogy skills.

  • Engaging a Large Virtual Class: Maintaining student engagement and participation in a class of 60 students online can be challenging.

  • Assessing Applied Research Skills Remotely: Evaluating students' practical application of research methods and data analysis through virtual assignments and projects.

  • Keeping Curriculum Current: Ensuring course content reflects the latest advancements and tools in quantitative UX research.

Learning & Development Opportunities:

  • Enhancing Virtual Teaching Skills: Opportunities to refine online pedagogy and leverage digital tools for instruction.

  • Curriculum Development: Potential to contribute to the evolution of the UX Design curriculum at Wilfrid Laurier University.

  • Industry Insight Sharing: Opportunity to share current industry trends and best practices with students.

  • Academic Networking: Building connections with other faculty members in the User Experience Design and Human-Computer Interaction fields.

๐Ÿ“ Enhancement Note: Challenges and growth opportunities are framed around the specific context of teaching a specialized university course remotely.

๐Ÿ’ก Interview Preparation

Strategy Questions:

  • Quantitative UX Research Methodology: Be prepared to discuss your approach to teaching concepts like experimental design, statistical significance, survey design, and various quantitative metrics (e.g., SUS, NPS, task success rates). How would you explain these to students with varying levels of statistical background?

  • Virtual Teaching Pedagogy: Discuss your strategies for engaging students in a virtual synchronous environment. How do you foster interaction, manage discussions, and ensure active learning when students are remote?

  • Data Analysis and Interpretation: Describe how you guide students to analyze and interpret quantitative UX data. What are common pitfalls, and how do you help students avoid them? How do you ensure they can justify design decisions with data?

  • Course Management & Assessment: Explain your approach to managing a course of 60 students, including grading, providing feedback, and handling student inquiries, especially in a virtual setting.

Company & Culture Questions:

  • University Values: Be ready to discuss how you would uphold Wilfrid Laurier University's commitment to diversity, equity, and inclusion in your classroom.

  • Departmental Fit: How does your expertise in quantitative UX research align with the goals of the User Experience Design Department?

  • Teaching Philosophy: Articulate your teaching philosophy, especially concerning the application of quantitative research in UX design.

Portfolio Presentation Strategy:

  • Candidate Application Form (CAF): Ensure your CAF is a compelling narrative of your qualifications, explicitly linking your experience and skills to the requirements of UX215 VS.

  • CV Highlights: Be prepared to walk through your CV, emphasizing your Master's/PhD, teaching experience, and applied research in quantitative UX.

  • Teaching Dossier/Course Outline: If submitted, be ready to discuss specific examples from your teaching materials that demonstrate your ability to deliver this course effectively. Highlight how your materials promote data-driven design decisions.

๐Ÿ“ Enhancement Note: Interview preparation guidance is tailored to an academic teaching role, focusing on pedagogical approaches, research methodologies, and university-specific requirements.


๐Ÿ“Œ Application Steps

To apply for this academic teaching position:

  • Submit your application through the Wilfrid Laurier University careers portal by the deadline (Friday, June 5, 2026).

  • Prepare your Candidate Application Form (CAF): Carefully download, complete, and upload the CAF. This is the primary document for assessment, so ensure it thoroughly details your qualifications, teaching experience, and applied quantitative research practice.

  • Curate your CV: Ensure your CV clearly outlines your Master's degree, any PhD, relevant teaching experience at the university/college level, and specific examples of applied quantitative UX research.

  • Gather Supporting Documents: For external applicants, ensure you have your official course evaluations ready. Consider preparing a Teaching Dossier and Sample Course Outline (max 2 pages) to supplement your application, demonstrating your pedagogical approach and curriculum design.

  • Review Collective Agreement: Familiarize yourself with the WLUFA Collective Agreement and the assessment rubrics (Appendix H) as these are central to the evaluation process.

โš ๏ธ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions tailored to an academic teaching role. All details and requirements should be verified directly with Wilfrid Laurier University and the hiring committee before submitting your application.

Application Requirements

A Master's degree is required, with a PhD in UX, HCI, or a related field preferred. Candidates must have teaching experience at the college/university level and applied quantitative research practice involving human subjects.