Making generative AI travel recommendations easier to understand
Working with machine learning and data science teams, I designed and refined prompts and product language for personalised travel recommendations. The challenge was to make generated suggestions relevant and useful while keeping the experience clear and trustworthy.
Result: Testing and analysis showed that my content changes improved conversion.
Content decisions
I worked on how recommendations were introduced and explained, including labels such as “You were interested in this property”, “Extra savings just for you” and “Highlights for your 4-night trip”. “You were interested in this property” connects the recommendation to an earlier action; “Highlights for your 4-night trip” gives it a specific trip context. Both explain relevance without relying on a generic recommendation label.




















