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Urban Company Customer Feedback Dataset
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset offers customer service reviews and ratings for Urban Company, compiled from sources including Mouthshut and Amazon. Its primary aim is to provide valuable insights into the quality of customer service, identify recurring feedback themes, and track shifts in customer satisfaction. This resource is key for understanding the depth and implications of customer interactions with Urban Company's service offerings.
Columns
- Date: This column records the date when a customer submitted their review.
- Time: This indicates the specific time at which the customer's comment was added.
- Ratings: This lists the star rating given by the customer, on a scale of 1 to 5.
- Review_title: This provides the title or subject line assigned to the customer's feedback.
- Review_comment: This contains the detailed or overall feedback provided by the customer.
Distribution
The dataset is typically presented in a CSV file format. It comprises approximately 220 records, identified through unique values and the aggregation of date-time counts. The data reflects review activity across various periods; for example, there were 51 reviews logged between 13th May 2022 and 16th December 2022, and 49 reviews from 22nd July 2023 to 25th February 2024. The dataset also outlines the distribution of ratings, noting 191 records for ratings falling between 1.00 and 1.40.
Usage
The dataset is ideal for a variety of applications, including:
- Conducting customer feedback analysis to pinpoint key sentiment and topics.
- Developing and testing Natural Language Processing (NLP) models for tasks like sentiment classification.
- Monitoring and evaluating customer service performance.
- Identifying specific areas for service enhancement and product innovation.
- Performing market research to gauge customer satisfaction within the e-commerce services sector.
Coverage
The dataset's geographic scope is described as global. The reviews included span a time period from 12th March 2018 up to 25th February 2024. There is no explicit demographic scope detailed beyond the general category of "customer reviews."
License
CC0
Who Can Use It
- Data Analysts: To uncover trends and patterns in customer feedback.
- Machine Learning Engineers: For training algorithms focused on text analysis and prediction.
- Product Managers: To inform decisions on product and service improvements based on user experiences.
- Businesses: To benchmark their service quality and develop strategic enhancements.
- Researchers: For academic investigation into consumer behaviour and online reviews.
Dataset Name Suggestions
- Urban Company Customer Feedback Dataset
- Urban Company Service Review Ratings
- Customer Feedback for Urban Company
- Urban Company Customer Experience Analytics
Attributes
Original Data Source: Urban Company Customer Service Reviews
QUALITY