Challenge: Legal professionals rely on traditional, text-based workflows. The task was to translate both the abstract Rulemapping methodology and the practical application of the accompanying LegalTech software into an accessible format for a strictly non-technical audience.

Approach: Designed and produced a comprehensive online academy from scratch for the SPRIND-funded software provider Rulemapping GmbH. Translated complex logic and software mechanics into a structured, engaging e-learning curriculum. Executed the complete content production lifecycle hands-on, covering everything from instructional design and scriptwriting to detailed software screencasts and interactive exercises.

Outcome: Successfully launched a scalable customer education platform that accelerates user onboarding and SaaS product adoption. The academy empowers non-technical users to master complex LegalTech software, serving as the central hub for the company’s method training.

Challenge: Enabling companies to upskill their workforce in the rapidly evolving field of AI required a flexible and scalable learning solution tailored to diverse business needs.

Approach: Designed a modular training program using a building-block approach, allowing organizations to combine AI-related learning units based on their strategic focus. Developed the overall concept with multiple learning dimensions (e.g., strategy, application, ethics), built a curated pool of expert instructors, and led the program’s positioning and go-to-market strategy.

Outcome: Successfully launched the program and established it as a flexible B2B offering, enabling tailored AI education across industries and creating a scalable foundation for future learning formats.

Challenge: CODE University’s highly unique, project-based learning model had no existing blueprint for evaluation. Classic assessment dimensions were not applicable, requiring a tailored solution to measure success.

Approach: Developed a structured semester evaluation that translates CODE’s innovative education model into measurable insights. Developed a scalable survey framework tailored to CODE’s non-traditional education model, analyzed the results, compiled a comprehensive report, and ensured that the documentation also enables third parties to conduct follow-up surveys. 

Outcome: Detailed study findings report and framework that enables continuous measurement of academic and organizational success and provides actionable insights to improve learning experiences and strategic, data-driven decision making. Secured the institutional re-accreditation by providing the necessary evidence of learning success through data-driven didactics.

Challenge: The digital economy required a new kind of academic degree – one that bridges business strategy and deep tech. The challenge was to build an entirely new Master’s program from scratch, proactively integrate AI, ensure radical flexibility, and achieve full academic accreditation in a record time of less than 12 months.

Approach: Orchestrated the full-lifecycle development of the M.Sc. Technology & Management at CODE University. Led an open, user-centric product discovery phase, surveying over 200 individuals to understand exactly what prospective learners actually want. Translating these insights, I structured a highly adaptable program architecture (customizable ECTS, full-time/part-time tracks) with a heavy core focus on AI, managing the complex alignment across all university departments.

Outcome: Secured official accreditation in under 12 months. The Master’s program is currently running highly successfully, proving the massive market demand for a flexible, user-centric, and AI-driven educational blueprint.

Challenge: Companies often struggle to attract and engage young tech talent early in their education, making it difficult to establish a long-term talent pipeline.

Approach: Developed a strategic partnership model with multiple pillars to connect companies with relevant talents early on. Designed a dual-study concept that allowed companies to actively engage with students while supporting their professional and academic growth.

Outcome: Strengthened employer branding for partner companies, provided students with hands-on industry experience, and created a sustainable framework for early talent engagement.

Challenge: In 2021, deepfakes were widely dismissed as unrealistic science fiction. Because the risk to digital trust was not yet taken seriously by society or policymakers, there was a critical need for a proactive wake-up call.

Approach: Initiated and led a rapid 6-week sprint with an interdisciplinary team of tech and journalism talents. We produced deepfakes of prominent German politicians and confronted them with their AI counterparts to capture the ethical implications in a documentary.

Outcome: Transformed an ignored technological risk into a tangible educational experience, sparking vital discourse on AI ethics long before the mainstream boom.

Challenge: Traditional journalism and tech education historically operated in silos, hindering the cross-functional collaboration essential for modern media companies.

Approach: Created and managed the group-wide Tech Talent Program at the Axel Springer Academy of Journalism & Technology. The program was structured to cultivate the next generation of top-tier tech talent by uniting them with journalism trainees through collaborative, real-world product development.

Outcome: The program brought together tech talents from over 20 countries who collaborated on interdisciplinary projects and were successfully integrated into various tech units across the organization. Today, the program serves as a replicable blueprint for interdisciplinary work within the corporate ecosystem.

Challenge: Assessing the potential success of early-stage startups is challenging for an accelerator, given the high uncertainty and unreliable financial projections.

Approach: Developed a predictive model based on founder surveys, analyzing a variety of science-backed dimensions. Built an interactive dashboard to compare startups using data-driven insights.

Outcome: Enabled investors to make informed decisions, improving transparency and objectivity in startup evaluations.