From AI algorithm to real-world product pilot

The challenge

A global animal health leader had built an MVP to train and validate an AI algorithm for early disease detection. The next step was a real-world pilot whose results would shape the commercial strategy and the decision to invest in a global rollout. But there was no front-end user experience, no value proposition and no defined product-market fit. Extensive quantitative research existed, but it had never been translated into a product strategy. The team was deeply skilled in science and AI, and needed product expertise to take it from idea to market.

Listen and envision

I synthesized the existing quantitative research, then interviewed veterinarians across the US, EMEA, APAC and LATAM to fill the gaps and understand the "why" behind the numbers: what would drive adoption in daily practice, and what would block it. From there I framed the problem, and ran stakeholder workshops so the people who would own the product shaped the direction from the start.

Design the strategy

I synthesized personas across regions and levels of medical expertise, built a value proposition framework for the product and its primary personas, and defined strategic pillars that every MVP feature and UX decision had to deliver against. Then I designed the pilot program itself, with success measures defined up front, so the investment decision ahead would rest on evidence rather than opinion.

Make it real

• Quantitative research synthesis, creation of research discussion guides, customer interviews and analysis to gather qualitative insights

• Designed and built a clear, evidence-back strategy deck to serve as the foundation for all decisions, including problem statement, personas, value propositions, strategic pillars and success measures.

• Working with their UX, product and engineering teams, I turned the strategy into app flows, wireframes and prototypes that made the experience tangible for stakeholders.

• The teams aligned on an actionable roadmap to define, t-shirt size and prioritize features for the pilot, so they could build it into a real product.

• Developed end-to-end pilot program from onboarding of customers to pilot evaluation to validate the value proposition and product.