Data Analysis

Initially, I will delve into a comprehensive examination of our dataset to uncover any recurring patterns or notable trends concerning users' ride requests. This investigation will encompass the following:

The insights gained from this analysis will be instrumental in comprehending user behaviors and preferences, thereby enabling us to tailor the scheduling feature to meet their distinct requirements effectively. By aligning the feature with user expectations, we aim to enhance user satisfaction and optimize the overall ride-hailing experience.

User Research

Quantitative

Initially, I plan to conduct a survey to understand user preferences and behavior when scheduling a ride. This survey will include the following questions. Later, I will conduct qualitative research, including user interviews and usability tests:

  1. How often do you use ride-hailing services like Uber or Lyft?
  2. Have you ever needed to plan a ride in advance for a specific time and destination?
  3. If yes, what were the reasons for needing to schedule a ride in advance? (Select all that apply)
  4. How satisfied are you with the current process of requesting ad-hoc rides for immediate pickup?