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SQL for Customer Feedback Trends
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SQL for Customer Feedback Trends

MediumSQL · PostgreSQL

Problem

Nordstrom's Operations Manager needs a monthly view of customer feedback from active customers to identify changes in satisfaction over time. Write a PostgreSQL query for feedback submitted during 2025-01-01 through 2025-04-30.

Requirements

  1. Return one row per month with feedback count, average rating, and the percentage of rated feedback with a rating of 4 or 5.
  2. Include only feedback from active customers and exclude feedback outside the requested date range.
  3. Calculate the month-over-month change in average rating using a window function. Round average ratings and percentages to two decimal places.
  4. Sort the final results chronologically.

A feedback row with a NULL rating is still a submission, but it must not be included in the average rating or rated-feedback percentage.

Schema

customers
ColumnTypeDescription
customer_idPKINTEGERUnique customer identifier
customer_nameVARCHAR(100)Customer name
is_activeBOOLEANWhether the customer is active
customer_feedback
ColumnTypeDescription
feedback_idPKINTEGERUnique feedback identifier
customer_idINTEGERCustomer who submitted the feedback
submitted_atDATEFeedback submission date
ratingINTEGEROptional rating from 1 to 5
channelVARCHAR(30)Feedback collection channel
commentTEXTOptional customer comment
Tablescustomerscustomer_feedback
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