This project explores user behavior patterns and evaluates the impact of UI changes through A/A/B testing for a food-tech startup's mobile application. By analyzing event logs and user funnel progression, the project uncovers insights to optimize user engagement and improve conversion rates.
- Analyze user behavior and engagement across the product funnel
- Quantify drop-offs between funnel stages
- Evaluate the effectiveness of UI changes using A/A/B testing
- Provide data-driven recommendations for UX optimization
- Average of 32.33 events per user
- Major user drop-off occurs at the OffersScreenAppear stage
- Only 18.36% of users complete the entire funnel
- Statistically significant differences found across experimental groups using Chi-squared testing
- Raw dataset used for the analysis:
data/food_app_user_behavior_data.csv - Main Jupyter Notebook with full analysis:
data/food_app_user_behavior_analysis.ipynb
Nabilla Hafsah Caesaredia