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 its 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: Enabled continuous measurement of academic and organizational success, providing actionable insights to improve learning experiences and refine strategic data-driven decision-making. 

Challenge: Creating a master’s program that aligns with market needs and remains relevant in a rapidly changing digital landscape.

Approach: Led the program development in close collaboration with faculty and university leadership. Collected data to identify key content areas and target audiences. Managed the full project lifecycle – including alignment with leadership and all relevant departments.

Outcome: Developed a master’s program tailored to market demands, ensuring strong industry alignment and academic excellence.

Challenge: Companies often struggle to attract and engage young tech talent early in their education, making it difficult to build a strong employer brand and 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: Traditional journalism and tech education often operate in silos, limiting collaboration between future media and technology professionals.

Approach: Co-founded FreeTech Academy (now Axel Springer Academy of Journalism & Technology) and led a Tech Program that united young tech talents and journalism trainees, enabling them to collaborate on real-world projects. Integrated the approach into the company’s ecosystem to foster interdisciplinary innovation.

Outcome: Fostered cross-functional collaboration, enabling participants to gain real-world experience and strengthening the company’s talent pipeline.

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.