Data-driven Design
Continuous Improvement.
By building observability into products, teams can self-serve insights and drive continuous improvement. By reserving sprint capacity and sharing success stories, we foster curiosity across product squads—for example, identifying that unclear autosave cues caused only 50% of notes to be saved, which we resolved through simple UI changes.
Prototyping & User Testing.
We prototyped in Figma and validated designs through user testing and usage data, iterating based on evidence to ensure measurable impact. Insights were centralised in an AI research repository, enabling self-serve access across product teams and reducing reliance on repeated user contact through automated tagging and analysis.