Customer Feedback System

Business Case:

Customer feedback systems are essential for ride-sharing platforms like OLA and UBER to maintain service quality and customer satisfaction. These systems collect and analyze feedback to improve driver performance and overall user experience.

Algorithm: FeedbackSystem Class

Data Structures Used:

• Data Structure: unordered_map for storing feedback data efficiently.

Challenges:

• Managing and processing large volumes of feedback data.
• Ensuring real-time updates and availability of feedback metrics.
• Handling diverse feedback types and sentiments effectively.

Benefits:

• Improves service quality based on actionable feedback.
• Enhances driver performance and customer satisfaction.
• Facilitates continuous improvement in service offerings.

Example Code (C++):

Feedback

Space Complexity:

• addFeedback Operation (addFeedback function):
  • Space Complexity: O(1) average case, O(n) worst case (due to hash collisions).
• getAverageRatingForDriver Operation (getAverageRatingForDriver function):
  • Space Complexity: O(1) for the variables, O(n) for storing feedback entries.

Time Complexity:

• addFeedback Operation (addFeedback function):
  • Time Complexity: O(1) average case, O(n) worst case (due to hash collisions).
• getAverageRatingForDriver Operation (getAverageRatingForDriver function):
  • Time Complexity: O(n), where n is the number of feedback entries.