Tech Innovation - UX Researcher - Cairo

📍 Job Overview

Job Title: UX Researcher
Company: Infomineo
Location: Cairo, Egypt
Job Type: Full-time
Category: Product Development & Operations / User Experience Research
Date Posted: 2025-12-09
Experience Level: 2-5 years
Remote Status: On-site

🚀 Role Summary

• This role focuses on end-to-end product validation, bridging user needs with business strategy and development execution.
• It involves leading Design Sprints, creating prototypes, and employing rigorous statistical methods for feature prioritization.
• The position requires a data-driven approach, combining user research with advanced analytical techniques to ensure high-value product development.
• This is a critical role within the Product team, designed to minimize wasted engineering resources on unproven concepts and maximize product impact.

📝 Enhancement Note: While the title is "UX Researcher," the responsibilities heavily emphasize product strategy, quantitative analysis, and cross-functional leadership, suggesting a role that blends traditional UX research with product operations and data science principles. This is not a purely qualitative research role but one that drives product decisions through data.

📈 Primary Responsibilities

• Lead and facilitate cross-functional Design Sprints or Venture Design sprints to map user journeys, sketch solutions, and define Minimum Viable Products (MVPs).
• Conduct workshops to identify deep user pain points and unmet needs, proposing tangible, data-backed solutions.
• Ensure that sprint outcomes and proposed solutions align with broader company goals and business viability.
• Create low-to-mid fidelity prototypes (wireframes, click-throughs) to visualize potential solutions for rapid iteration and testing.
• Conduct iterative testing on prototypes to validate ideas before development begins, acting as a gatekeeper for engineering resources.
• Establish quick feedback mechanisms to iterate on product design on a daily or weekly basis based on user inputs.
• Design and deploy quantitative surveys to understand feature and product attribute priorities, answering crucial questions like "Which feature drives the most value?" and "What is the optimal product configuration?"
• Utilize advanced statistical methodologies such as Conjoint Analysis, MaxDiff, and Kano Modeling to scientifically rank user preferences.
• Apply inferential statistics to validate findings, calculating statistical significance, confidence intervals, and effect sizes.
• Determine the statistical significance of results (e.g., $p < 0.05$) and clearly explain the business implications.
• Differentiate between signal and noise in data to provide robust recommendations for the product roadmap.
• Partner with Product Managers and Development teams to integrate log data with attitudinal survey data for comprehensive insights.
• Translate quantitative insights into actionable product improvements and work closely with Product Managers on roadmap development.
• Democratize data by creating accessible dashboards and reports for stakeholders, fostering a data-informed culture.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on quantitative research and statistical rigor beyond typical UX research. The expectation to lead Design Sprints, prototype, and perform advanced statistical analysis indicates a role that is deeply integrated into the product development lifecycle, requiring both qualitative and quantitative expertise.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Statistics, Marketing, or a closely related quantitative or design-thinking field.

Experience:

• 2-5 years of experience within product teams, with a focus on user research, product validation, or data analysis for product development.

Required Skills:

• Quantitative Research Design: Ability to design and execute quantitative surveys and experiments to gather actionable user insights.
• Statistical Analysis: Proficiency in applying inferential statistics, understanding statistical significance ($p$-values, confidence intervals), and utilizing methods like Conjoint Analysis, MaxDiff, or Kano Modeling.
• Prototyping: Skill in creating low-to-mid fidelity prototypes using tools such as Figma, Adobe XD, Sketch, or similar.
• Data Manipulation & Analysis: Proficiency with SQL for data querying and manipulation, and experience with Python (pandas, NumPy, SciPy) or R for statistical analysis.
• Survey Platforms: Expertise in using survey tools like Qualtrics, SurveyMonkey, Typeform, or similar platforms for survey deployment and data collection.
• Facilitation: Strong ability to lead and facilitate workshops, Design Sprints, and cross-functional meetings, guiding teams through complex problem-solving processes.
• Data Storytelling: Excellent communication skills to translate complex statistical findings into clear, concise, and human-centric narratives for diverse stakeholders.
• Critical Thinking: A keen analytical mind with a healthy skepticism towards data, able to identify potential biases, data quality issues, and ensure robust, reliable insights.

Preferred Skills:

• Experience with advanced statistical modeling and predictive analytics.
• Familiarity with Agile and Scrum methodologies in a product development context.
• Experience with data visualization tools for creating accessible dashboards (e.g., Tableau, Power BI).
• Knowledge of user journey mapping and persona development.
• Experience in a fast-paced, startup-like environment or within a global AI-enhanced research company.

📝 Enhancement Note: The combination of advanced statistical requirements (Conjoint, MaxDiff, Kano) and core UX skills (prototyping, facilitation) positions this role as a highly specialized hybrid. Candidates need to demonstrate a strong foundation in both qualitative user understanding and quantitative data analysis to be successful.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies of Product Validation: Showcase at least 2-3 comprehensive case studies detailing your involvement in the end-to-end product validation process, from initial discovery to feature prioritization.
• Design Sprint Leadership: Evidence of leading or significantly contributing to Design Sprints or similar innovation workshops, including the process, methodologies used, and outcomes achieved.
• Prototyping Examples: Visual examples of low-to-mid fidelity prototypes created for user testing, demonstrating your ability to translate concepts into testable artifacts.
• Quantitative Analysis & Impact: Examples of quantitative research projects, clearly outlining the statistical methodologies used (e.g., surveys with Conjoint, MaxDiff), the insights derived, and the tangible business impact or product decisions influenced.
• Data-Driven Recommendations: Demonstrations of how you translated complex statistical findings into clear, actionable recommendations for product development and prioritization.

Process Documentation:

• Showcase your ability to document research plans, methodologies, and findings clearly and concisely.
• Include examples of how you've structured feedback loops for iterative design and testing.
• Demonstrate how you've presented complex data and statistical results to both technical and non-technical audiences.

📝 Enhancement Note: For a role with this level of analytical and strategic responsibility, a portfolio is crucial. It should not only display artifacts but also articulate the process and impact of the candidate's work, particularly demonstrating the ability to connect quantitative findings to concrete product decisions and business outcomes.

💵 Compensation & Benefits

Salary Range:

• For a UX Researcher with 2-5 years of experience in Cairo, Egypt, a competitive salary range would typically fall between EGP 20,000 to EGP 40,000 per month, depending on specific skills, experience, and the company's compensation structure. This translates to an annual range of EGP 240,000 to EGP 480,000.
• Note: This is an estimated range based on industry benchmarks for similar roles in Cairo, considering the cost of living and typical compensation for specialized tech roles. Actual compensation will be determined by Infomineo based on candidate qualifications and market conditions.

Benefits:

• Competitive salary and benefits package.
• Opportunity to lead and shape the development of critical internal tools using Odoo.
• A collaborative and innovative work environment fostering continuous learning and growth.
• Professional development opportunities, including training and workshops.
• Career growth opportunities within a pioneering global AI-enhanced research company.

Working Hours:

• Full-time, likely adhering to standard business hours, with flexibility for agile sprints and collaborative sessions. The provided data suggests 40 hours per week.

📝 Enhancement Note: Salary is estimated based on general market data for Cairo, Egypt, for roles requiring a blend of UX research and quantitative analysis skills. Specific benefits are listed as provided in the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Business Intelligence, AI-Enhanced Research, Consulting Services. Infomineo operates at the intersection of technology (AI), data analytics, and strategic business consulting, serving global clients in various sectors including leading consulting firms, Fortune 500 companies, and government entities. Company Size: 350+ industry experts spread across 5 offices. This indicates a mid-to-large size company with a significant global presence and a substantial workforce dedicated to research and advisory services. Founded: Infomineo has evolved from traditional business research outsourcing to a strategic partner leveraging AI. The company's history suggests a culture of innovation and adaptation to technological advancements.

Team Structure:

• The UX Researcher will join the Product team, reporting to a Product Manager or Head of Product.
• This team likely collaborates closely with engineering, design, and data science departments.
• The role emphasizes cross-functional collaboration, working with Product Managers, Development teams, and other stakeholders to ensure data-driven product decisions.

Methodology:

• Data-Driven Decision Making: Infomineo emphasizes using "clear data" and "solid engineering" to solve problems, aligning with the UX Researcher's role in providing validated insights.
• Scientific Method & Experimentation: The company culture embraces building, measuring, learning, and iterating, with a focus on experimentation and viewing failures as data for breakthroughs.
• Agile & Collaborative: Work is conducted in fast-paced sprints where engineering, design, and product teams collaborate closely.
• AI Integration: The company is a "pioneering global AI-enhanced research company," integrating AI into its services and operations.

Company Website: Infomineo.com

📝 Enhancement Note: Infomineo presents itself as an innovative, data-centric, and forward-thinking company. The culture appears to be one that values intelligent problem-solving, continuous learning, and cross-functional teamwork, particularly in the context of leveraging AI and advanced analytics.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level specialist position (2-5 years of experience). It requires a strong technical and analytical foundation with the ability to lead specific product validation processes independently. It's a crucial contributor role within the product development lifecycle, focusing on ensuring product-market fit and strategic alignment through rigorous research.

Reporting Structure: The UX Researcher will likely report to a Product Manager or a lead within the Product team. They will collaborate extensively with engineering, design, and potentially data science teams, acting as a key liaison between user needs and product execution.

Operations Impact: The UX Researcher's primary impact is ensuring that Infomineo builds validated, high-value products that meet genuine user needs and align with business strategy. By preventing the development of unproven concepts and prioritizing features based on data, this role directly contributes to the efficiency of engineering resources, the success rate of product launches, and ultimately, the company's competitive advantage in the AI-enhanced research market. The role influences the product roadmap and development priorities.

Growth Opportunities:

• Specialization: Deepen expertise in advanced quantitative research methodologies (Conjoint, MaxDiff, Kano) and statistical analysis for product development.
• Leadership: Grow into a lead UX Researcher or Product Analyst role, mentoring junior team members, and taking ownership of larger product initiatives.
• Cross-Functional Mastery: Develop a broader understanding of product management, engineering processes, and AI technologies within the company.
• Strategic Influence: Gain more autonomy in shaping product strategy and roadmap decisions based on research insights.
• Career Progression: Potential to move into Product Management or Data Science roles within Infomineo, given the blend of skills required.

📝 Enhancement Note: The growth trajectory for this role is significant, moving from a specialist researcher to a strategic contributor who influences product direction. The emphasis on quantitative skills and strategic alignment offers a clear path for career advancement within a technology-focused company.

🌐 Work Environment

Office Type: The job posting indicates "On-site" work arrangement, suggesting a traditional office environment within Infomineo's Cairo location. The company's description of its culture as "Agile & Collaborative" and emphasizing "fast-paced sprints" implies an active and dynamic office setting.

Office Location(s): Cairo, Egypt. Infomineo has an office in Cairo, serving as a hub for its 350+ experts. Proximity to this office is likely a requirement for this role.

Workspace Context:

• Collaborative Environment: Expect to work in an open or semi-open office space designed to facilitate collaboration between engineering, design, and product teams. Regular team meetings, stand-ups, and brainstorming sessions are likely part of the daily routine.
• Tools and Technology: Access to a modern tech stack, including prototyping software (Figma), statistical analysis tools (Python, R), data manipulation tools (SQL), and survey platforms (Qualtrics, SurveyMonkey). The company also relies on AI orchestrators and extensive knowledge assets.
• Team Interaction: Frequent interaction with Product Managers, Engineers, Designers, and potentially other researchers or analysts. The culture encourages knowledge sharing and cross-functional learning.

Work Schedule: Full-time, typically aligning with standard business hours (approximately 40 hours per week), but with the expectation of flexibility to accommodate fast-paced sprints and collaborative sessions as needed.

📝 Enhancement Note: The on-site nature suggests a preference for in-person collaboration, which is beneficial for design sprints and rapid iteration. The workspace context paints a picture of a modern, tech-forward environment geared towards innovation and teamwork.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A review of your CV and portfolio by the hiring team to assess alignment with the core requirements.
2. Technical/Behavioral Interview: A discussion with a hiring manager or senior team member to delve into your experience with UX research methodologies, statistical analysis, prototyping, and cross-functional collaboration. Expect questions about your approach to problem-solving and data interpretation.
3. Portfolio Presentation & Case Study: You will likely be asked to present a detailed case study from your portfolio, showcasing a product validation project from start to finish. This will focus on your process, methodologies, insights, and the impact of your work.
4. Skills Assessment/Challenge: A practical exercise or a deeper dive into a specific technical or analytical area (e.g., a short statistical problem, a wireframing task, or a hypothetical Design Sprint scenario).
5. Final Interview: A conversation with senior leadership or key stakeholders to assess cultural fit, strategic thinking, and overall alignment with Infomineo's vision.

Portfolio Review Tips:

• Structure Your Case Studies: For each case study, clearly outline the problem statement, your role, the methodologies used (qualitative and quantitative), key findings, the solutions proposed/validated, and the measurable impact or business outcomes.
• Highlight Quantitative Rigor: Specifically showcase projects where you applied advanced statistical methods (Conjoint, MaxDiff, Kano, inferential statistics) and explain the business implications of your findings.
• Demonstrate Prototyping Skills: Include visual examples of prototypes and explain how they were used in the validation process and iterated upon.
• Emphasize Collaboration: Detail how you worked with cross-functional teams (Product, Engineering, Design) and how your research influenced their work.
• Quantify Impact: Whenever possible, use metrics and data to demonstrate the success of your research and the value it delivered to the product or business.

Challenge Preparation:

• Understand Design Sprints: Be ready to discuss the phases of a Design Sprint and how you would facilitate one effectively.
• Statistical Problem Solving: Prepare to tackle hypothetical scenarios requiring you to choose appropriate statistical methods or interpret statistical output.
• Prioritization Frameworks: Refresh your knowledge of prioritization frameworks (including Kano, MaxDiff) and be prepared to apply them.
• Data Storytelling: Practice articulating complex statistical findings in a simple, compelling narrative that clearly shows the business value.

📝 Enhancement Note: The interview process is designed to thoroughly assess both the technical proficiency and strategic thinking required for this role. A strong, data-rich portfolio that highlights quantitative analysis and its impact is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping: Figma (or similar tools like Adobe XD, Sketch) for creating low-to-mid fidelity wireframes and click-through prototypes.
• Statistical Analysis: Python (with libraries like pandas, NumPy, SciPy) or R for advanced statistical modeling, data manipulation, and analysis. SPSS may also be relevant.
• Survey Platforms: Qualtrics, SurveyMonkey, Typeform, or similar tools for designing, deploying, and analyzing quantitative surveys.
• Data Manipulation: SQL for querying databases and extracting relevant data for analysis.

Analytics & Reporting:

• Statistical Interpretation: Proficiency in interpreting statistical significance, confidence intervals, and effect sizes.
• Reporting: Ability to create clear, concise reports and dashboards for stakeholders.
• Visualization: Potential use of tools like Tableau or Power BI for creating accessible data visualizations and dashboards.

CRM & Automation:

• While not explicitly listed as core tools for this role, understanding how user research data integrates with CRM systems (like Salesforce, though not mentioned) and how it can inform automation strategies within product development is beneficial. The company mentions an "AI orchestrator," indicating a sophisticated tech environment.

📝 Enhancement Note: Candidates must demonstrate proficiency in a specific set of tools crucial for quantitative UX research and product validation. The emphasis on Python/R, SQL, and advanced survey platforms highlights the analytical depth required for this role.

👥 Team Culture & Values

Operations Values:

• Data-Driven Innovation: A core value is leveraging data and rigorous analysis to drive innovation and solve real business problems, aligning with the "scientific method" approach.
• Impact & Ownership: Emphasis on "Impact from Day One" and taking ownership of work, ensuring that contributions directly shape live products and business outcomes.
• Continuous Learning & Experimentation: A culture that embraces learning, experimentation, and viewing failure as valuable data for future breakthroughs.
• Collaboration & Agility: Working in fast-paced, agile sprints where cross-functional teams (engineering, design, product) collaborate closely at the same table.

Collaboration Style:

• Cross-Functional Integration: The role is designed for deep collaboration with Product Managers and Development teams, ensuring that research insights are seamlessly integrated into the product lifecycle.
• Process Review & Iteration: A culture that encourages rapid feedback loops, iterative testing, and continuous improvement based on user and data inputs.
• Knowledge Sharing: Infomineo values intellectual vitality and creativity, suggesting an environment where sharing best practices and insights is encouraged. The goal is to democratize data, making it accessible and understandable across teams.

📝 Enhancement Note: The company culture strongly supports the UX Researcher's mandate. The emphasis on data, experimentation, and cross-functional teamwork creates an environment where this role can thrive and significantly influence product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Qualitative and Quantitative: Effectively integrating deep user understanding (qualitative insights from Design Sprints) with rigorous statistical validation to ensure both desirability and viability.
• Translating Complex Data: Communicating intricate statistical findings and their business implications to diverse stakeholders, including those with non-technical backgrounds.
• Prioritization Complexity: Navigating the challenges of prioritizing features in a competitive landscape, using data to make tough calls and justify roadmap decisions.
• Rapid Iteration Cycles: Adapting to fast-paced sprints and maintaining rigorous research standards while delivering timely insights for continuous product development.

Learning & Development Opportunities:

• Advanced Methodology Mastery: Deepen expertise in quantitative research techniques like Conjoint Analysis, MaxDiff, Kano Modeling, and inferential statistics.
• AI Integration: Gain hands-on experience working within an AI-enhanced research company, understanding how AI complements and enhances traditional research methods.
• Product Strategy Influence: Develop skills in shaping product roadmaps and influencing strategic decisions through data-backed insights.
• Cross-Functional Expertise: Broaden understanding of engineering, product management, and design processes within a tech-focused organization.
• Industry Exposure: Work with a global client base across various industries, gaining exposure to diverse business challenges and research needs.

📝 Enhancement Note: The challenges are inherent to a role that sits at the intersection of research, analytics, and product strategy. The growth opportunities are substantial, offering a clear path for professional development in a cutting-edge field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a Design Sprint. What was the outcome, and how did you manage the cross-functional team?"
  • Preparation: Be ready to walk through the phases of a Design Sprint, your specific role, how you facilitated decision-making, and the tangible results or next steps that emerged.
• "You've identified a feature that shows statistical significance ($p < 0.05$) in a survey. How would you explain its business value to a non-technical stakeholder?"
  • Preparation: Practice translating statistical concepts into clear, business-oriented language, focusing on impact, ROI, and user benefits. Use analogies if helpful.
• "How would you approach prioritizing features for a new product using quantitative data, considering limited engineering resources?"
  • Preparation: Discuss your preferred methodologies (e.g., Conjoint, MaxDiff, Kano) and how you would gather and analyze data to make data-informed prioritization decisions.

Company & Culture Questions:

• "How do you see your role contributing to Infomineo's mission of being a pioneering AI-enhanced research company?"
  • Preparation: Research Infomineo's services and client base. Connect your skills in data validation and user-centric design to the company's goal of transforming how businesses access intelligence.
• "Infomineo emphasizes a culture of experimentation and learning from failure. Can you share an example of a research project that didn't go as planned and what you learned?"
  • Preparation: Be honest and reflective, highlighting your ability to extract learning and adapt your approach.
• "How do you ensure your research findings are actionable and lead to concrete product improvements?"
  • Preparation: Focus on your process for translating insights into recommendations and collaborating with product and development teams.

Portfolio Presentation Strategy:

• Select High-Impact Projects: Choose 2-3 projects that best showcase your end-to-end validation process, quantitative analysis skills, and demonstrable impact.
• Focus on Process & Impact: For each project, clearly articulate the problem, your methodology (especially quantitative aspects), the key findings, the solutions you helped validate, and the resulting business outcomes or product changes.
• Be Ready for Deep Dives: Anticipate questions about your statistical choices, prototype iterations, and how you handled any challenges or unexpected data.
• Highlight Collaboration: Explain how you worked with cross-functional teams and how your research influenced their decisions.

📝 Enhancement Note: The interview preparation advice is tailored to the specific skills and responsibilities outlined for this UX Researcher role, emphasizing the blend of qualitative research, quantitative analysis, and strategic product influence.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workable link.
• Portfolio Customization: Curate your portfolio to prominently feature projects demonstrating end-to-end product validation, including Design Sprint facilitation, prototyping, and advanced statistical analysis (Conjoint, MaxDiff, etc.). Ensure case studies highlight your role, methodology, key insights, and quantifiable business impact.
• Resume Optimization: Tailor your resume to highlight keywords such as "UX Research," "Design Sprints," "Statistical Analysis," "Conjoint Analysis," "Prototyping," "Figma," "Python," "SQL," and "Data Storytelling." Quantify achievements wherever possible.
• Interview Preparation: Practice articulating your process and findings for potential portfolio presentations and be ready to discuss hypothetical scenarios involving statistical interpretation and feature prioritization. Research Infomineo's services and AI initiatives.
• Company Research: Understand Infomineo's position as an AI-enhanced research company. Prepare to discuss how your role contributes to their mission and how you embody their values of innovation, data-driven decision-making, and collaboration.

⚠️ 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.

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