Healthy Futures

Vitality Group had powerful health risk prediction algorithms but needed to turn them into a product millions of people would actually use. The tech could generate highly personalised health insights, but turning complex clinical data into actionable, engaging experiences at scale across 30+ global markets was a major product challenge.

The core tension: how do you make health data personal enough to drive behaviour change, simple enough for mass adoption, and flexible enough to work across vastly different healthcare systems and cultural contexts?

As Senior Product Owner, I owned the product from strategy through delivery:

• ▸Owned the full product roadmap and aligned cross-functional stakeholders on priorities while balancing technical feasibility, business goals, and user needs
• ▸Led a 15+ person agile team (designers, developers, architects, QA)
• ▸Ran backlog prioritisation, removed bottlenecks, and kept execution tight from ideation to launch
• ▸Pushed for constant iteration based on real data and a solid read on user behaviour
• ▸Kept stakeholders aligned across multiple global markets with different requirements and constraints

The product needed to balance sophistication and simplicity. Advanced risk-prediction algorithms powered the backend, but the user-facing experience had to feel intuitive and personally relevant, not clinical or overwhelming.

I set up a design system so we had consistency across the platform while still allowing market-specific adaptations. The team worked in tight agile cycles with regular stakeholder check-ins to stay aligned during the global rollout.

Key to the approach: treat health insights as a personalisation problem, not just a data visualisation problem. Each user's experience was curated from their specific risk profile so the content felt written for them, not generated from a generic template.

The platform was adopted quickly across 30+ global markets, showing it could scale and that users valued it. We combined data-driven decisions with a deep read on user behaviour to turn complex health insights into actionable, personalised experiences at scale.

The product set a new standard for how health risk data could be communicated to consumers: from dense clinical reporting to engaging, habit-forming content that drove measurable behaviour change.