In an effort to address the challenges faced by Lyft, particularly concerning customer service quality and excessive wait times, our team embarked on a comprehensive project to enhance Lyft's service offerings. Utilizing conjoint analysis, we surveyed student preferences on various ride-sharing attributes, aiming to refine these features to boost student satisfaction. Our findings reveal critical insights into what students value most, paving the way for targeted improvements in Lyft's service delivery.

Key Highlights:
• Conjoint Analysis: Employed to understand customer preferences across multiple service attributes such as brand, price, complaint resolution speed, pickup accuracy, wait time, and service quality.
• Data-Driven Insights: Revealed price and service quality as paramount factors influencing student choice, highlighting areas for Lyft to prioritize.
• Strategic Recommendations: Proposed initiatives such as the LyftU Credits & Connects Program, enhancing the Ride Detail Sharing feature, and elevating Service Excellence to meet customer expectations and improve service delivery.

Key Skills:
• Data Analysis and Modeling: Proficient use of conjoint analysis to interpret complex customer preference data.
• Strategic Planning: Development of targeted recommendations based on data-driven insights.
• Stakeholder Engagement: Successfully engaged a diverse student sample to gather relevant data, demonstrating strong communication and coordination skills.