UX Research Intern

01About baesh

baesh is a social platform connecting people in real life through events, communities, and shared interests.

We’re a small team using AI to move quickly from ideas to working experiences. Research is central to how we decide what to build and whether it’s good enough to ship. Your work will help us stay close to people as the technology moves faster.

You’ll work closely with our Head of Product and UX, an experienced researcher with a PhD in emotional and behavioural research. You’ll get practical guidance across the research process-from deciding what to investigate to helping the team act on what we learn.

This is an unpaid mandatory internship for students whose university programme requires a placement.

• Location: Mostly remote, with opportunities to join research and events in Berlin.

• Start date: Flexible, depending on your university requirements.

• Duration: As required by your university, usually 3-6 months.

02Usability testing and idea validation

• Help plan and run usability tests on our app and prototypes, including interfaces built with AI.

• Explore how easily people can discover events, join communities, and create their profiles.

• Test whether experiences make sense to real people, beyond looking polished or functioning technically.

• Validate early ideas and assumptions before the team invests further.

• Identify confusing moments and recommend improvements that make a meaningful difference.

03Exploratory research and interviews

• Help interview existing users and people who haven’t tried baesh yet.

• Explore how people make friends, find things to do, and connect with communities.

• Understand their needs, motivations, habits, and barriers.

• Help write discussion guides and ask open questions that uncover useful insights.

• Bring people’s experiences into product decisions, keeping the human connection at the heart of how we build.

04AI-supported research

• Use AI to help draft interview guides, usability-testing scripts, and survey questions.

• Explore how AI can support research synthesis by organising notes, summarising sessions, and suggesting patterns.

• Check AI-generated summaries and interpretations against what participants actually said and did.

• Learn where AI saves time, where it misses nuance, and where your judgement matters most.

• Help us develop practical ways to combine faster research workflows with thoughtful, reliable findings.

05Recruitment and ongoing feedback

• Help recruit participants and coordinate research sessions.

• Support Friends of BAESH, our community of early adopters who contribute through interviews, user testing, feedback, and feature suggestions.

• Help create short in-app surveys about specific parts of the experience.

06Making sense of what we learn

• Analyse feedback and identify patterns across sessions.

• Turn findings into clear insights and practical recommendations.

• Share research with the product and development team to shape what happens next.

• Help organise our research so we can build on previous learning.

You won’t be expected to do all of this independently from day one. We’ll guide you, give you feedback, and gradually help you take ownership of research activities.

07What you’ll bring

• You’re enrolled in a degree programme that requires a mandatory internship.

• An interest in UX research, psychology, human-computer interaction, design, sociology, or a related field.

• Curiosity about people and a willingness to question assumptions.

• Good listening skills and an empathetic, respectful approach.

• Strong communication skills in English.

• An organised approach and willingness to take initiative.

• An interest in using AI thoughtfully, including questioning its output.

Preferred, but not required:

• German-speaking, so you can support research with German-speaking participants.

• Some familiarity with interviews, usability testing, surveys, or qualitative analysis-university projects count.

• Experience experimenting with AI tools for research, writing, analysis, or prototyping.

• An interest in social products, communities, and how digital experiences support real-life connections.

You don’t need previous professional UX research experience. We’re looking for curiosity, care, and a willingness to learn.

08What you’ll gain

• Research mentorship: Learn directly from an experienced UX and behavioural researcher.

• Practical experience: Contribute to exploratory interviews, usability testing, surveys, and idea validation.

• Experience with AI-enabled product development: Learn how to assess and improve products when building is fast and informed judgement matters more than ever.

• Visible impact: See your findings shape the experiences we build and release.

• Portfolio experience: Develop research case studies, with guidance on what can be shared.

• Flexible working: Agree a schedule that fits your university’s placement requirements.

• A small, collaborative team: Work closely with the people designing and building the product.

09Interested?

If you have relevant university work or a portfolio, we’d love to see it-but it’s optional.

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