Senior UX Researcher (m/f/x)

📍 Job Overview

Job Title: Senior UX Researcher (m/f/x)
Company: Visable GmbH
Location: Berlin, Germany
Job Type: FULL_TIME
Category: User Experience Research / Product Insights
Date Posted: 2026-01-08
Experience Level: 5-10 years
Remote Status: Hybrid (approx. 50% remote, 50% in-office)

🚀 Role Summary

• Lead comprehensive UX research initiatives, encompassing discovery, generative, evaluative, and strategic phases to inform product development and strategy.
• Design and execute robust quantitative studies, including surveys, experimental design, analytics deep dives, segmentation, and benchmarking, to identify scalable user patterns and behaviors.
• Conduct in-depth qualitative research through interviews, usability testing, diary studies, field work, and concept testing to uncover nuanced user needs and motivations.
• Leverage cutting-edge AI-assisted research and analysis techniques, such as large-scale pattern detection in user feedback and natural language processing (NLP) for insight generation.
• Champion user-centricity by translating complex findings into compelling, actionable recommendations for cross-functional teams, including Product, Design, Data Science, and Marketing.

📝 Enhancement Note: This role is positioned as a Senior UX Researcher, implying a need for an individual capable of independent leadership on research projects, mentoring junior team members, and influencing strategic product decisions. The emphasis on AI-driven approaches suggests a forward-thinking organization seeking to leverage advanced analytics for deeper, more scalable user insights.

📈 Primary Responsibilities

• Spearhead end-to-end UX research projects, from initial ideation and problem framing through to the delivery of actionable insights and strategic recommendations.
• Develop and implement quantitative research methodologies, including the design of effective surveys, experimental setups, in-depth behavioral analytics analysis, user segmentation, and competitive benchmarking.
• Execute a variety of qualitative research methods, such as moderated and unmoderated usability tests, in-depth user interviews, diary studies, ethnographic field research, and concept validation exercises.
• Apply and innovate with AI-assisted research techniques, focusing on large-scale user feedback analysis, natural language processing (NLP) for sentiment and topic extraction, and AI-driven synthesis for clustering and emergent insight discovery.
• Collaborate closely with Product Managers, Designers, Data Analysts, and Engineering teams to define research objectives, formulate hypotheses, and ensure research insights are directly integrated into product roadmaps and strategic planning.
• Effectively communicate research findings and user needs through compelling reports, interactive workshops, visual journey maps, and insightful dashboards to diverse stakeholders.
• Establish and uphold research best practices, providing mentorship to team members on rigorous methodological approaches, effective measurement frameworks, and the application of mixed-methods research.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on research execution and strategic leadership. The inclusion of "Establish research rigor and mentor teammates" indicates this Senior role is expected to elevate the team's overall research capabilities, not just contribute individual project work.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Computer Science, or a related field is typically expected for senior-level research roles.

Experience: A minimum of 5 years of dedicated UX research experience, with a strong preference for candidates with 7-10 years of experience, working within cross-functional product development teams.

Required Skills:

• Proven track record in leading and executing mixed-methods research initiatives at scale, demonstrating proficiency in both quantitative and qualitative approaches.
• Fluency with quantitative research tools and techniques, including advanced survey design, statistical analysis, and behavioral analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude).
• Strong qualitative research expertise across a range of moderated and unmoderated methods, including in-depth interviews, usability testing, contextual inquiry, and diary studies.
• Demonstrated experience utilizing AI tools for research synthesis, data analysis, or the generation of user insights, showcasing an understanding of AI's potential in research.
• Ability to translate complex research findings into clear, concise, and actionable recommendations for product and business stakeholders.
• A strategic mindset with the capacity to navigate ambiguity, frame complex problems, and contribute to shaping product vision and strategy.
• Excellent communication, presentation, and storytelling skills, with a proven ability to influence cross-functional teams and senior leadership.
• Strong stakeholder management capabilities, with experience in building consensus and driving adoption of research insights.
• Comfort and experience working effectively in international, cross-cultural environments.

Preferred Skills:

• Proficiency in German or French language, in addition to English, would be a significant advantage for communication with diverse teams and stakeholders.
• Experience with specific AI/ML tools for NLP or advanced data analysis relevant to user feedback.
• Familiarity with A/B testing design and analysis to complement quantitative research findings.
• Experience in mentoring junior researchers or establishing research best practices within a team.

📝 Enhancement Note: The requirement for "5+ years of UX research experience" combined with the "Senior" title strongly suggests that candidates with 7-10 years of experience will be highly competitive. The emphasis on AI tools and strategic thinking indicates a need for researchers who are not only methodologically sound but also forward-looking and business-oriented.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio showcasing a range of end-to-end UX research projects, demonstrating impact on product strategy and user experience.
• Specific case studies detailing the research problem, methodology (quantitative, qualitative, and mixed-methods), AI tool application, key findings, and measurable outcomes.
• Evidence of your ability to design and execute surveys, conduct in-depth interviews, and perform usability testing, with examples of your approach and deliverables.
• Demonstration of how you translate complex data and user insights into clear, actionable recommendations that informed product decisions and drove business impact.
• Examples of your communication artifacts, such as compelling reports, workshop summaries, journey maps, or dashboard designs, illustrating how you share insights effectively with cross-functional teams.

Process Documentation:

• Showcase your process for defining research objectives collaboratively with product and design teams, including hypothesis formulation.
• Provide examples of your workflow for designing and executing quantitative studies, including survey construction, sampling strategies, and data analysis plans.
• Illustrate your approach to planning and conducting qualitative research, from participant recruitment to interview guide development and synthesis methods.
• Detail how you integrate AI tools into your research workflow for tasks such as feedback analysis, sentiment detection, or insight clustering, and how you validate these AI-generated outputs.
• Demonstrate your process for synthesizing findings from multiple research streams (quantitative, qualitative, AI-driven) into cohesive narratives and strategic recommendations.

📝 Enhancement Note: Given the emphasis on AI and strategic impact, candidates should ensure their portfolios highlight projects where AI tools were used to uncover novel insights or scale research efforts, and where those insights directly influenced product strategy or business outcomes. Demonstrating a structured, repeatable research process is crucial.

💵 Compensation & Benefits

Salary Range: For a Senior UX Researcher in Berlin, Germany, with 5-10 years of experience, the estimated annual gross salary typically ranges from €65,000 to €90,000. This estimate is based on industry benchmarks for senior-level UX research roles in major German tech hubs, considering the cost of living and competitive market rates.

Benefits:

• Shaping the Future: Opportunity to actively influence the direction of Visable's online B2B platform and contribute to building a European leader.
• Dynamic Culture: Experience an established company with a dynamic start-up culture, characterized by flat hierarchies, an informal atmosphere, and strong team spirit.
• Agile Environment: Work within an agile and supportive ecosystem where success is a collective effort.
• Health & Wellness: Benefit from a fitness cooperation with Urban Sports Club, offering access to over 7,500 studios across Germany for flexible training.
• Work-Life Balance: Enjoy optimal work-life balance with 30 days of annual leave (plus Christmas Eve & New Year's Eve) and flexible working hours.
• Hybrid Work Model: Experience the best of both worlds with flexibility through remote work and team collaboration in the office, with an expected commitment of approximately 50% in-office presence.
• Professional Development: Access individual training opportunities, including the Visable Online Academy, regular feedback discussions, and team-building measures to foster professional and personal growth.
• Workation Offer: Utilize the "Workation" benefit to work from locations where others spend their holidays.

Working Hours: The role involves a standard full-time commitment, estimated at 40 hours per week. The company promotes flexible working hours, allowing for adaptability around core business needs and research project timelines.

📝 Enhancement Note: The salary range is an estimation based on typical market rates for this role and location. Actual compensation will depend on the candidate's specific experience, qualifications, and negotiation. The benefits package emphasizes work-life balance, professional development, and a modern hybrid working model, which are attractive to experienced professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Visable operates within the B2B online marketplace and business information sector, focusing on connecting businesses and providing digital visibility. This industry is characterized by rapid digital transformation, data utilization, and a strong emphasis on user experience for business professionals.

Company Size: Visable GmbH is a medium-to-large enterprise, likely employing between 250-1000 employees. This size typically offers a balance between established processes and the agility of a growing organization, allowing for impactful contributions from senior roles.

Founded: Visable GmbH was founded through the merger of Wer liefert was (founded in 1932) and EUROPAGES (founded in 1992), bringing a rich history and deep market understanding to its current operations. This long-standing presence suggests stability and a strong foundation.

Team Structure: The UX Researcher will be part of a Product Development or Design team. This team likely includes Product Managers, UX/UI Designers, Data Analysts, and Engineers. The Senior UX Researcher will collaborate closely with these functions and may have direct or indirect reporting lines within this structure, potentially working alongside other researchers or analysts.

Methodology: Visable appears to embrace a data-driven and user-centric product development methodology. The emphasis on quantitative and qualitative research, coupled with AI-driven analysis, indicates a commitment to evidence-based decision-making. They value understanding user needs at scale to drive strategic product evolution.

Company Website: https://www.visable.com/

📝 Enhancement Note: The company's long history combined with its modern approach to digital platforms and AI research suggests a stable yet innovative environment. The structure likely allows for significant cross-functional collaboration, where the Senior UX Researcher's insights will be highly valued.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a "Senior" level, indicating a significant degree of autonomy, expertise, and responsibility. A Senior UX Researcher is expected to lead complex research projects, mentor others, and contribute to strategic product direction. They are key individual contributors who can operate independently and influence team direction.

Reporting Structure: The Senior UX Researcher will likely report to a Head of Product, Director of UX, or a similar leadership role overseeing product development and user experience. They will collaborate closely with Product Managers and Designers on a day-to-day basis.

Operations Impact: The Senior UX Researcher plays a critical role in shaping Visable's product strategy by providing deep, evidence-based insights into user needs, behaviors, and pain points. Their work directly influences product roadmaps, feature prioritization, and the overall user experience, ultimately driving user satisfaction, engagement, and business growth within the B2B online marketplace.

Growth Opportunities:

• Leadership Development: Transition into a Lead UX Researcher or Manager of UX Research role, overseeing a team and setting research strategy for specific product areas or the entire organization.
• Specialization: Deepen expertise in specific research methodologies, such as advanced AI-driven analysis, complex experimental design, or large-scale qualitative research.
• Strategic Influence: Increase involvement in high-level product strategy discussions, contributing more directly to long-term product vision and business objectives.
• Cross-Functional Mentorship: Expand mentorship responsibilities to guide multiple teams or individuals across Product and Design on research best practices and strategic application.

📝 Enhancement Note: The "Senior" designation and the emphasis on strategic influence suggest this role is a key step for individuals looking to grow into leadership positions or become deep subject matter experts in applied AI research within a product context.

🌐 Work Environment

Office Type: Visable offers a hybrid work model, combining the flexibility of remote work with the collaborative benefits of an office environment. This suggests a modern workspace designed to foster both individual focus and team interaction.

Office Location(s): The primary office location for this role is in Berlin, Germany, specifically at Schönleinstraße 12, 10967 Berlin. This location is in a well-connected urban area, facilitating access for employees.

Workspace Context:

• Collaborative Spaces: The office environment likely includes meeting rooms, breakout areas, and open-plan workstations designed to encourage spontaneous collaboration and formal team discussions.
• Technology Enabled: Expect access to the necessary tools and technology to support both in-office and remote collaboration, including reliable internet, video conferencing equipment, and potentially specialized research software.
• Team Interaction: The hybrid model, with an approximate 50% in-office requirement, ensures regular face-to-face interaction with colleagues from Product, Design, Engineering, and Data Science teams, fostering a strong team spirit and facilitating research alignment.

Work Schedule: The role adheres to a standard full-time schedule (approx. 40 hours/week) but offers flexible working hours. This flexibility is beneficial for researchers who may need to adjust their schedules for user interviews, manage international stakeholder communication, or balance personal commitments with project deadlines.

📝 Enhancement Note: The hybrid model is a key feature, indicating Visable's commitment to employee flexibility while acknowledging the importance of in-person collaboration for innovation and team cohesion within a product development context.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with HR or the hiring manager (Graf) to assess basic qualifications, experience, and cultural fit.
• Technical Interview / Portfolio Review: A more in-depth session focusing on your UX research experience, methodology, and a review of your portfolio. This will likely include specific questions about your approach to quantitative, qualitative, and AI-driven research, and how you've handled complex problems. Be prepared to walk through 1-2 key projects in detail.
• Case Study / Research Challenge: You may be given a hypothetical research problem or a task to design a research plan. This assesses your strategic thinking, methodological rigor, and ability to translate business questions into research objectives.
• Cross-Functional Interviews: Meetings with potential peers and stakeholders from Product Management, Design, and Engineering to evaluate collaboration skills, communication style, and ability to integrate research into the product development lifecycle.
• Final Interview: A discussion with senior leadership to confirm strategic alignment and overall fit for the role and company culture.

Portfolio Review Tips:

• Showcase Impact: Prioritize projects where your research had a clear, measurable impact on product decisions, strategy, or business outcomes. Quantify this impact whenever possible.
• Highlight AI Application: Specifically detail how you leveraged AI tools in your research process, the insights gained, and how they differed from or complemented traditional methods.
• Methodological Diversity: Present a range of projects that demonstrate your expertise in quantitative (surveys, analytics), qualitative (interviews, usability testing), and mixed-methods research.
• Problem-Solving Narrative: For each project, clearly articulate the problem, your approach, the challenges faced, the key insights, and the actionable recommendations provided.
• Clarity and Conciseness: Ensure your portfolio is well-organized, visually appealing, and easy to navigate. Focus on the most impactful projects.

Challenge Preparation:

• Understand the Business: Research Visable's products, target audience (B2B), and market position. Understand their business goals and how UX research contributes.
• Methodology Fluency: Be ready to discuss the pros and cons of various quantitative and qualitative methods, and when to apply them. Think about how AI can be integrated.
• Strategic Framing: Practice framing research questions that address potential business objectives or product strategy challenges relevant to an online B2B platform.
• Communication Practice: Rehearse presenting your research findings and recommendations clearly and persuasively, anticipating questions from different functional perspectives (product, design, engineering).

📝 Enhancement Note: The interview process is designed to assess not only your research skills but also your strategic thinking, AI proficiency, and ability to collaborate effectively within a cross-functional team. A strong portfolio that clearly articulates impact is crucial.

🛠 Tools & Technology Stack

Primary Tools:

• User Feedback Platforms: Tools for collecting, analyzing, and synthesizing large volumes of user feedback (e.g., UserTesting.com, Lookback, Qualtrics, SurveyMonkey for quantitative aspects).
• AI & NLP Tools: Experience with AI-powered platforms for sentiment analysis, topic modeling, large-scale text analysis, or insight generation from unstructured data. Specific tools might include those integrated into broader research platforms or standalone AI/ML libraries.
• Analytics Platforms: Proficiency in using web analytics tools (e.g., Google Analytics, Adobe Analytics, Mixpanel, Amplitude) for behavioral data analysis and identifying research opportunities.
• Prototyping & Design Tools: Familiarity with tools like Figma, Sketch, or Adobe XD, to understand design work and potentially conduct usability testing on prototypes.

Analytics & Reporting:

• Statistical Software: Experience with statistical analysis tools or libraries (e.g., R, Python with libraries like Pandas/NumPy, SPSS) for deeper quantitative analysis.
• Data Visualization Tools: Ability to create clear and compelling data visualizations using tools like Tableau, Power BI, or built-in features within analytics platforms to communicate findings.
• Reporting Dashboards: Experience in creating and maintaining dashboards that track key user metrics and research insights for ongoing stakeholder visibility.

CRM & Automation:

• CRM Systems: Understanding of how CRM data (e.g., Salesforce) can inform user segmentation and research questions, though direct CRM management is likely not a primary responsibility.
• Collaboration Tools: Proficiency with project management and collaboration software such as Jira, Confluence, Asana, or Trello for managing research projects and documenting findings.

📝 Enhancement Note: The explicit mention of "AI-assisted research and analysis" and specific examples like "Large-scale pattern detection in user feedback" and "Natural language processing (NLP) evaluation" indicates a strong emphasis on leveraging advanced technologies. Proficiency in these areas, or a clear aptitude for learning them, will be a significant advantage.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for user needs in all product decisions, ensuring that research insights drive user-centric development.
• Data-Driven Decision Making: A strong belief in using evidence from research (both quantitative and qualitative, including AI-generated insights) to inform strategy, reduce uncertainty, and measure impact.
• Collaboration and Teamwork: A culture where cross-functional teams work together effectively, valuing diverse perspectives and shared ownership of product success. The emphasis on "team effort" and "agile and supportive environment" highlights this.
• Innovation and Continuous Improvement: Encouragement to explore new research methodologies, leverage emerging technologies like AI, and continuously refine processes to achieve greater efficiency and impact.
• Respect and Inclusion: A commitment to diversity, equal opportunities, and creating an inclusive environment where all employees feel valued and respected, as evidenced by signing the "Diversity Charter."

Collaboration Style:

• Cross-Functional Integration: The UX Researcher is expected to be an integrated member of product teams, working closely with Product Managers, Designers, Data Analysts, and Engineers throughout the product development lifecycle.
• Proactive Communication: A style that involves proactively sharing insights, seeking input, and facilitating discussions to ensure research findings are understood and acted upon.
• Workshop Facilitation: Utilizing workshops as a key method for collaborative insight synthesis, strategy definition, and alignment across different functions.
• Feedback Culture: An environment that encourages open feedback exchange, both in terms of providing insights and receiving constructive criticism to drive personal and team growth.

📝 Enhancement Note: The company's stated values, particularly around diversity, inclusion, and a blend of tradition with start-up agility, suggest a supportive yet performance-oriented environment. The emphasis on teamwork and user-centricity aligns well with the core functions of a UX Researcher.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling AI Research: Effectively integrating and validating AI-driven insights at scale, ensuring the accuracy and ethical application of AI tools in research. This involves understanding the limitations of AI and how to supplement its outputs.
• Balancing Hybrid Work: Maximizing the benefits of both remote flexibility and in-office collaboration to maintain strong team cohesion and research effectiveness.
• Driving Strategic Impact: Ensuring that research findings consistently translate into tangible product improvements and strategic business decisions, moving beyond descriptive insights to prescriptive recommendations.
• Navigating Ambiguity: Contributing effectively to product strategy in a dynamic market, framing research questions when business objectives may be evolving or not fully defined.
• Mentoring and Upskilling: Elevating the research capabilities of the broader team, potentially including individuals without formal research backgrounds, while managing personal research projects.

Learning & Development Opportunities:

• AI in Research Specialization: Deepen expertise in applying AI/ML for advanced user data analysis, NLP for feedback interpretation, and leveraging AI for research automation.
• Strategic Product Leadership: Gain exposure to higher-level product strategy discussions, influencing roadmaps, and contributing to long-term product vision.
• Cross-Functional Skill Development: Enhance understanding of product management, engineering, and data science processes through close collaboration.
• Industry Conferences & Training: Opportunities to attend relevant UX research conferences, workshops, and pursue certifications to stay abreast of industry trends and best practices.
• Mentorship Programs: Participate in or lead mentorship initiatives, fostering leadership skills and contributing to the growth of the UX research community within Visable.

📝 Enhancement Note: The challenges presented are common in senior roles within tech companies embracing innovation. The growth opportunities are directly tied to addressing these challenges and leveraging the company's supportive environment for professional advancement.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI tools to uncover a significant user insight that traditional methods missed. What was your process, and what was the impact?" (Focus: AI application, impact, methodology)
• "How would you approach designing a research plan to understand user adoption drivers for a new feature on an online B2B marketplace, considering both quantitative and qualitative metrics?" (Focus: Strategic framing, mixed-methods, B2B context)
• "Imagine you're tasked with evaluating the user experience of a complex feature with limited time. How would you prioritize your research efforts and ensure actionable findings?" (Focus: Prioritization, efficiency, iterative research)

Company & Culture Questions:

• "Based on your understanding of Visable, what do you see as the biggest UX challenges for an online B2B platform, and how would your research approach address them?" (Focus: Company research, strategic thinking)
• "How do you typically collaborate with Product Managers and Designers? Can you provide an example of a successful cross-functional collaboration that led to a product improvement?" (Focus: Teamwork, communication, collaboration style)
• "How do you measure the impact of your research? Can you share an example of how your insights led to a measurable business outcome?" (Focus: Impact measurement, ROI, data-driven approach)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the business problem, your research objectives, your methodology (detailing quantitative, qualitative, and AI components), key findings, actionable recommendations, and the resulting impact.
• Highlight AI Integration: Specifically call out where and how AI tools were used, what unique value they provided, and how you validated the AI-generated outputs.
• Quantify Impact: Use metrics and data to demonstrate the success of your research and recommendations. For example, "Our research led to a 15% increase in feature adoption" or "A/B testing based on our insights reduced churn by 8%."
• Be Prepared for Deep Dives: Anticipate detailed questions about your methodology, your rationale for choosing specific methods, and how you handled challenges or unexpected findings.
• Showcase Communication Artifacts: Include examples of your reports, presentations, or dashboards that effectively communicate insights to diverse audiences.

📝 Enhancement Note: Preparation should focus on demonstrating a blend of methodological expertise, strategic thinking, AI literacy, and strong communication skills. The ability to connect research insights directly to business outcomes will be highly valued.

📌 Application Steps

To apply for this Senior UX Researcher position:

• Submit your application through the provided application link on Visable's career portal.
• Portfolio Customization: Curate your portfolio to prominently feature projects that demonstrate your expertise in mixed-methods research, your experience with AI tools for user insights, and quantifiable impact on product strategy or business goals. Tailor the presentation to highlight relevant B2B context if possible.
• Resume Optimization: Ensure your resume clearly articulates your 5+ years of UX research experience, emphasizing your leadership in end-to-end research initiatives, proficiency in both quantitative and qualitative methods, and any experience with AI-driven analysis or NLP. Use keywords from the job description.
• Interview Preparation: Practice articulating your research process, your approach to problem-solving, and your collaboration style. Prepare to discuss specific examples from your portfolio that showcase your ability to drive strategic decisions and your comfort with AI tools.
• Company Research: Familiarize yourself thoroughly with Visable's platform, target market (B2B online marketplaces), recent news, and company culture. Understand their mission and how UX research contributes to their success.

⚠️ 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.

---