BärBuddy

AI-Powered Onboarding for Berlin’s Innovation Economy

Bärbody was developed during a high-intensity, week-long hackathon (“Kiez Connect”) initiated by Berlin Partner für Wirtschaft und Technologie. The challenge was released on Monday, with the final concept and pitch due by Friday afternoon.

The brief focused on a systemic problem facing Berlin’s innovation ecosystem: newcomers, including students, freelancers, and migrants, struggle to access economic, technological, and professional opportunities despite having relevant skills and motivation. A mandatory constraint was the inclusion of an AI-assisted workflow integrated into the final solution.

This compressed timeframe required rapid problem framing, early alignment, and pragmatic design decisions focused on feasibility and impact rather than perfection.

Project

BärBuddy

Topic

Service Design & AI Integration

Sector

Civic Tech

Duration

4 Days

Context

Hackathon project · Interdisciplinary team of 5

My Role

UX/UI design, problem framing, chatbot interaction design, pitch structure, cross-disciplinary collaboration

Project Snapshot

Project

BärBuddy

Topic

Service Design & AI Integration

Sector

Civic Tech

Duration

4 Days

Context

Hackathon project · Interdisciplinary team of 5

My Role

UX/UI design, problem framing, chatbot interaction design, pitch structure, cross-disciplinary collaboration

Project Snapshot

My Role & Interdisciplinary Team

This was my first experience working in a highly interdisciplinary team of five, including Data Science, Web Development, and UX/UI Design (my role). Given the extreme time constraints, traditional role boundaries blurred, and collaboration became outcome-driven rather than discipline-driven.

My key contributions included:

  • Translating the Berlin Partner brief into a clear problem statement and UX framing, supporting early research and validation with the Data Scientist

  • Designing the chatbot interface, conversation flow, and integration touchpoints within the existing Berlin Partner website

  • Structuring the final pitch narrative and visual logic to communicate a complex, data-driven solution within an 8-minute time limit

This experience strengthened my ability to collaborate across technical domains, align UX decisions with data availability, and adapt design depth based on engineering and AI constraints.

Fragmented Access to Opportunity

Through brief analysis and early alignment with the challenge owners, we identified a core systemic issue: newcomers to Berlin’s innovation ecosystem lack a clear, personalized entry point.

Key pain points included:

  • Difficulty discovering relevant hubs, accelerators, funding programs, or upskilling opportunities

  • Limited visibility into neighborhood-level (Kiez-based) or sector-specific resources

  • A lack of economic belonging, users felt socially integrated, but professionally disconnected

Rather than designing a new standalone platform, we deliberately chose to integrate our solution into the existing Berlin Partner website. This decision was driven by UX and strategic considerations:

  • Reduced friction by avoiding another app or registration barrier

  • Immediate access to trusted, existing content and data infrastructure

  • Lower implementation cost and faster adoption for a public institution

This integration-first approach allowed us to focus on access, clarity, and personalization instead of platform acquisition.

BärBuddy - An AI Guided Entry Point

We designed Bärbody, a multilingual AI-powered chatbot embedded directly into the Berlin Partner website. The goal was to create a low-threshold, human-feeling interface that helps users orient themselves within a complex ecosystem.

Key UX principles behind the solution:

  • Personalization over exploration: users receive tailored recommendations instead of browsing static content

  • Accessibility by default: multilingual support reduces language barriers for non-German speakers

  • Progressive disclosure: information is delivered step-by-step to avoid cognitive overload

Bärbody provides:

  • Personalized recommendations based on background, profession, interests, and language

  • Context-aware suggestions for events, services, funding opportunities, and programs

  • Passive, anonymized data collection on user queries, enabling Berlin Partner to identify recurring information gaps

This dual value approach ensured that the solution served both users and the institution, improving user experience while generating actionable insights.

 Adapting to the Midweek Twists

The hackathon introduced two major scope changes that required rapid reframing.

Part 2 – From Access to Agency (Tuesday):
The brief expanded from simple access to long-term engagement. We addressed this by positioning Bärbody’s data collection as a feedback loop: aggregated user needs could inform Berlin Partner’s future programs, allowing users to indirectly shape the ecosystem.

Part 3 – Make It Tangible (Thursday):
An offline component was required. We introduced QR codes placed in physical locations such as event flyers, co-working spaces, and community centers. Scanning the code launched the chatbot instantly, bridging physical and digital touchpoints and meeting users at the moment of need.

These pivots reinforced the importance of flexible UX thinking under constraint.

The Value of the Pivot

This project highlighted several senior-level UX principles:

  • Integration beats reinvention: leveraging existing platforms often delivers more value than building new ones

  • AI is most effective as a guided interface, not a feature showcase

  • UX decisions must align with data, feasibility, and institutional constraints

  • Clear storytelling is as critical as good design when influencing stakeholders

Working under extreme time pressure taught me how to structure problem-solving quickly, collaborate across disciplines, and deliver solutions that are realistic, scalable, and aligned with both user and business needs.