Client: A tech startup seeking to enhance its mobile application.

Challenge: The client wanted to identify which product features would improve user retention and engagement.

Solution:

• Analyzed existing user data to identify patterns and trends in user behavior.
• Simulated the potential impact of various new features using AI models.
• Recommended personalized AI-driven features to improve user engagement and retention.

Results:

• Delivered a comprehensive analysis report, including feature prioritization based on predicted user engagement improvements.
• Provided actionable recommendations to inform future product development and user experience enhancements.