This project analyzes the impact of a new user interface (UI) on completion rates and user experience at Vanguard. An A/B test was conducted to determine whether the new UI leads to higher completion rates and better user interaction.

• Client Profiles (df_final_demo): Demographic data of the clients.
• Digital Footprints (df_final_web_data): Divided into pt_1 and pt_2, these datasets contain the digital traces and activities of the clients.
• Experiment Roster (df_final_experiment_clients): List of clients who participated in the experiment.

• Handling Missing Values: Removal of rows with missing values and duplicates.
• Normalization and Encoding: Standardizing numerical fields and encoding categorical variables.
• Merging Datasets: Combining the various datasets into a consolidated dataset.

1. Demographic Analysis: Examination of age distribution, gender distribution, and tenure of clients.
2. Behavioral Analysis: Analysis of login frequency and call frequency.
3. Hypothesis Testing: Examination of completion rates and time spent on each step.

• The new user interface led to a significantly higher completion rate.
• Improvements in usability and a reduction in error rates were observed.

• Rollout of the New Design: Implement the new UI across the entire platform.

• Continuous Optimization: Utilize user feedback and further A/B tests to continuously improve the design.

• Targeted Adjustments: Perform deeper analysis of specific customer segments to identify additional optimization potentials.

• Enhanced Customer Support: Consider providing additional training or support options based on the call frequency analysis.

• Main Analysis Notebook: Main.ipynb
• Required Data: Clean_Data.csv

Michelle Wegner & Sulaiman Bah

https://www.canva.com/design/DAGMsRJKIPM/b2lfiO4DHY2TqfGa_CMQRQ/edit?utm_content=DAGMsRJKIPM&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton