Year
2026
Role
End-to-end product design: discovery, strategy, personas, to-be scenario design, MVP prototyping
Team & Stakeholders
IBM | UNIDO | Oxford Insights
From research to roadmap
Over 4 months, our cross-functional team conducted 14 user interviews with participants from Brazil, Mexico, China, Austria, and industry partners, plus Design Thinking workshops and technical alignment sessions engaging 30+ stakeholders in total. From that research, we mapped 5 distinct personas, each with a different relationship to data, a different vocabulary, and a different definition of "actionable." The pain points were consistent across all of them: data too complex to trust, fragmented datasets with no interoperability, and a fundamental disconnect between analysis and strategy. That gap shaped the entire design. Rather than jumping to UI, I led the team in defining a journey through three stages that mirror how real decision-making works: diagnose where your country stands, analyze what's driving or limiting development, and act on AI-generated transformation pathways co-created with UNIDO's institutional knowledge. The MVP brings all three stages into a single platform: an interactive globe visualizing maturity tiers across countries, a structured country profile with scoring across 68+ indicators, and an AI Assistant for exploring transformation scenarios through natural conversation. The framework was developed with Oxford Insights across 5 enabling pillars and 17 dimensions of industrial AI readiness.
Why this project matters to me
AIDIN sits at the intersection of two things I care deeply about: the craft of designing for complexity, and the possibility of using design to shift real policy decisions. The users aren't passive consumers, they're building industrial strategies for entire countries. When the information architecture is right, countries move faster. That possibility is what drives my best work.