I ship AI products people use — and prove the impact.
Product Manager for GenAI at CHECK24: 13 LLM features shipped in 11 months, A/B testing built from zero, partner dropout cut from 58% to 31%. A research internship and master's thesis at Spotify before that. HCI master's from KTH Stockholm and Paris-Saclay.

Trusted with product at

- BOTfriends
Selected work
Case studies
Problems I've owned end-to-end — from discovery and data to shipped, measurable product.
AI Product / Strategy
CHECK24 · AI Taskforce Lead
Jul 2025 — Present
Shipping GenAI across the product — 13 LLM features in 11 months
When I took on CHECK24's AI push, there was no playbook — no A/B testing, no tracking funnel, no established process for shipping LLM features. I built those from scratch while leading a cross-functional team of engineers and data scientists. Thirteen features shipped in 11 months, including a product-wide AI chatbot that lets customers run the entire product through conversation.
13LLM features shipped- GenAI / LLMs
- Prompt & Tool Design
- A/B Testing
- Team Leadership
Research / Qualitative
Spotify · User Research
Jun 2022 — Jun 2023
"Judge my Spotify" — what music sharing on TikTok actually reveals
I spent a year at Spotify asking one question: why do people share music on TikTok? Not the obvious answer — but the real psychology behind it. My thesis explored how identity, vulnerability, and platform culture shape what creators choose to share. The research went directly to product stakeholders.
1.0Master thesis grade- Qualitative Research
- Thematic Analysis
- Stakeholder Reporting
Conversational AI / UX
BOTfriends · Chatbot Development & UX
Mar 2020 — Apr 2021
Where my AI work started — enterprise chatbots before LLMs made it easy
At 21, I was designing conversational flows for enterprise chatbots at a time when most companies were just figuring out what chatbots even were. I learned early that making AI feel natural to talk to is a design problem, not just a technical one. That grounding is the through-line connecting everything I've built since.
2020Where my AI practice began- Conversational Design
- Chatbot Flows
- User Research
Interactive CV
Experience timeline
Click any role to expand the details. Or download the full PDF.
Own end-to-end product responsibility for GenAI/LLM features across customer-facing product, customer-service automation, and internal tooling.
- Shipped 13 GenAI/LLM features in 11 months — from discovery and concept through prompt & tool design and technical spec to launch, monitoring, and iteration.
- Launched a product-wide AI chatbot that lets customers use the entire product through a conversational interface.
- Lead a cross-functional AI Taskforce of multiple engineers and 2 data scientists, including functional leadership of the Data Science team.
- Shape roadmap and backlog in direct alignment with executive management; define and steer central KPIs across pricing accuracy, data quality, and product performance.
- Built A/B testing infrastructure and a tracking funnel from scratch to derive product strategy from data.
- Prototype end-to-end with Figma, Cursor, Claude Code, and v0 — validating requirements before engineering investment.
- GenAI / LLMs
- Prompt & Tool Design
- Roadmapping
- A/B Testing
- KPI Design
- Team Leadership
Owned onboarding end-to-end for CHECK24's moving-company partner platform — 400+ active service providers representing the core revenue base.
- Reduced partner dropout from 58% to 31% by building SQL data models and conversion analyses to pinpoint drop-off points.
- Translated findings into prioritized backlog items and roadmap decisions.
- Ran continuous discovery — user journey analyses, hypothesis testing, and structured feedback campaigns — driving UX and funnel optimization.
- Product Discovery
- SQL & Data Modeling
- Funnel Optimization
- Backlog Management
Independent twelve-month travel following graduation.
Ran an independent qualitative research study embedded in Spotify's product organization — exploring why music creators share on TikTok, what they're really expressing when they do, and what that means for a product like Spotify. Findings went directly to cross-functional stakeholders.
- Designed and ran the entire study independently — recruitment, interviews, thematic analysis, synthesis, and stakeholder presentation.
- Surfaced the tension between authenticity and curation that drives sharing behavior — findings with direct product implications.
- Thesis graded 1.0 (German scale, 1.0 = best).
- Qualitative Research
- Thematic Analysis
- Stakeholder Reporting
Led 3 independent research projects with direct stakeholder reporting, informing product conception and prioritization across multiple teams.
- Ran user interviews, usability tests, and market analyses.
- Reported findings directly to stakeholders across multiple product teams.
- User Interviews
- Usability Testing
- Market Analysis
This is where my work in AI started. At 21, I was designing conversational flows for enterprise chatbots — long before large language models made it easy. I learned the hard way that making AI feel natural to talk to is a genuine design problem, not a technical one. Everything I build in AI today traces back to those dialogue trees.
- Designed conversational interfaces and chatbot flows for enterprise clients.
- Ran user research that fed directly into the BOTfriends X platform roadmap.
- Conversational Design
- Chatbot Flows
- User Research
Taught JavaScript, HTML, CSS, and data encoding to 100+ first-year students across 3 weekly courses — full teaching responsibility at age 19.
- Teaching
- JavaScript
- HTML/CSS
Education
M.Sc. Human-Computer Interaction & Design (M2)
KTH Royal Institute of Technology · Stockholm
Aug 2022 — May 2023
Grade 1.3 · Master thesis at Spotify (1.0) · Focus: Multimodal & Physical Interaction Design
M.Sc. Human-Computer Interaction & Design (M1)
Université Paris-Saclay (EIT Digital) · Paris
Sep 2021 — May 2022
Grade 1.3 · Focus: User-Centred Design, Advanced User Research, Creative & Interactive Design
Erasmus – Computer Science & Psychology
Eötvös Loránd University · Budapest
Sep 2019 — Mar 2020
Grade 1.2 · Interactive ML, Serious Games, Behavioural Psychology
B.Sc. Human-Computer-Systems
Julius-Maximilians University · Würzburg
Oct 2017 — Mar 2021
Grade 1.5 · Focus: Usability Testing, Accessibility, Participatory Design, Statistics
Skills & tools
AI Product
- Prompt Engineering
- Tool & Agent Design
- RAG & Vector Search
- LLM Evaluation
Data & Experimentation
- MySQL
- A/B Testing
- Funnel & Conversion Analysis
- KPI Design & Tracking
Product Craft
- Product Discovery
- Roadmapping
- Backlog Management
- OKRs
- Experiment Design
User Research
- User Interviews
- Usability Testing
- Thematic Analysis
- Journey Mapping
- Survey Design
Design & Prototyping
- Figma
- v0
- Cursor
- Claude Code
- Wireframing
- Conversational Design
Tools
- Jira
- Asana
- Confluence
- Postman
- TablePlus
- Superset
Languages
- GermanNative
- EnglishC1 – TOEFL
- FrenchC1
- ItalianB2
Achievements
- EIT Digital Scholarship Winner 2021
- EIT Digital Summer School Winner 2022
Get in touch
Building AI-driven products in Berlin? Let's talk.
Open to product roles, especially with AI and user-centered design at the core. Email is the fastest way to reach me.
hi@adrian-bucka.de