UX Researcher/UX Designer responsible for transforming the data platform at ADEO through user insights and design methodologies. Collaborating with diverse teams to improve UX for technical users.
About the role
- Werkstudent supporting GenAI user research in a family-owned business environment. Engaging with user behavior and AI tool optimization based on real-world feedback.
Responsibilities
- User Research & Analysis: Design and conduct user interviews, create and analyze surveys, synthesize qualitative feedback into actionable insights
- Dashboard Development: Build comprehensive usage dashboards for our AI applications, tracking key metrics like user engagement, feature adoption, and satisfaction scores
- Advanced Analytics: Perform sentiment analysis on user feedback, conduct ML-based analyses to identify usage patterns and improvement opportunities
- Customer Support Excellence: Provide first-level support through our ticketing system, ensuring responsive and helpful customer service (1h daily, Mon-Thu)
- Data-Driven Insights: Transform raw usage data into strategic recommendations for product development and user experience optimization
- Cross-functional Collaboration: Work closely with developers, product managers, and stakeholders to implement research findings
- Documentation & Reporting: Create clear, actionable reports that communicate findings to both technical and non-technical audiences.
Requirements
- Currently enrolled in a relevant degree program (Computer Science, Data Science, Psychology, Business Analytics, or related field)
- Strong Python Skills: Good Python programming abilities with experience in data manipulation and visualization libraries (pandas, matplotlib, seaborn); willingness to quickly learn additional tools like PowerBI or Grafana
- Analytical Interest: Curiosity about both numbers/data analysis and understanding people through interviews and surveys
- Strong German Communication: Native-level German or C1+ for effective customer interactions; good English for international team collaboration
- Eagerness to Learn: Genuine interest in AI technologies and how people actually use them in their daily work
- Service Orientation: Positive attitude toward customer support activities; sees customer interaction as valuable learning opportunity
- Problem-Solving Mindset: Enjoys figuring things out and asking good questions when stuck
- Reliability: Can commit to consistent daily customer service hours (1h Mon-Thu) alongside flexible project work
- Team Player: Comfortable collaborating with developers and product managers, open to feedback and mentoring.
Job title
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