Intelligent content for a personalized user experience

Building sustained user engagement requires moving beyond static content to create experiences that adapt meaningfully to individual behavior patterns. Users need content that understands their context and speaks to their specific journey.

For Google Fit, I designed a dynamic weekly recap system that generates personalized insights, and delivers contextually relevant content. This weekly check-in includes a personalized narrative helps users understand their progress over time.

I developed content framework to dynamically deliver the right messaging based on user behavior, activity types, and performance metrics. Each recap is generated from hundreds of possible content variations.

Design challenges solved:

• Created a systematic content framework that generates thousands of personalized variations while maintaining consistent brand voice and user experience quality
• Designed evaluation criteria to ensure generated content remains helpful, accurate, and motivating across diverse user scenarios
• Established content logic that adapts to edge cases and unusual usage patterns without breaking the user experience
• Built collaborative workflows between content design, data science, and engineering to iterate rapidly on content performance

This project demonstrated how thoughtful content systems design can create scalable, personalized experiences that feel genuinely helpful rather than algorithmic. Users reported feeling more motivated and connected to their fitness journey through these tailored insights.