Customer Satisfaction Survey at Kashmir Cafe

Dataset Description:

The "Customer Satisfaction Survey at Kashmir cafe" dataset is a valuable collection of responses obtained from a customer satisfaction survey conducted at Cafe, a restaurant or food delivery service. The dataset serves as a comprehensive source of feedback, insights, and opinions gathered from customers regarding their experience with Garden's services.

Dataset Columns:

Customer ID: A unique identifier for each customer, allowing for tracking and analysis of individual feedback.

Overall Delivery Experience (Rating): This column represents customer ratings on a scale from 1 to 5. Respondents indicate their level of satisfaction with their overall delivery experience at Garden. The rating scale ranges from 1 (extremely dissatisfied) to 5 (extremely satisfied).

Food Quality (Rating): This column reflects customer ratings on a scale from 1 to 5, assessing the quality of the food provided by Garden. Respondents provide their satisfaction ratings, with 1 indicating extreme dissatisfaction and 5 indicating extreme satisfaction.

**Speed of Delivery (Rating): **Similar to the previous columns, this field captures customer ratings on a scale from 1 to 5. It measures the satisfaction level related to the speed of delivery, with 1 representing extreme dissatisfaction and 5 representing extreme satisfaction.

**Order Accuracy (Yes/No): **This column indicates whether the customer's order was accurate or not. Customers respond with "yes" or "no" to this question, allowing for an assessment of order accuracy.

Usage and Insights:

This dataset offers valuable insights into the satisfaction levels of Garden's customers in various aspects of their service. Analysts and data scientists can explore the dataset to understand trends, identify areas for improvement, and make data-driven decisions to enhance the customer experience. Potential use cases include:

Analyzing customer satisfaction trends over time. Identifying factors that influence overall satisfaction. Evaluating the relationship between food quality, delivery speed, and overall satisfaction. Assessing the impact of order accuracy on customer ratings. Predictive modeling for improving satisfaction and customer retention. License:

This dataset is provided under the Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication. It is free to use for any purpose, including commercial and non-commercial projects, with no attribution required.

Acknowledgments:

We would like to express our gratitude to all the customers who participated in the survey and shared their valuable feedback. This dataset is made available to the public for research, analysis, and exploration.

Enjoy using the "Customer Satisfaction Survey at Kashmir cafe" dataset, and feel free to contribute to its use and understanding.

Note: This dataset is intended for research and analysis purposes, and data privacy and ethical considerations should be observed when working with customer feedback data.

NYC311 Customer Satisfaction (CSAT) surveys provide 311 customers with an opportunity to provide feedback on the performance of 311 call takers in providing timely and knowledgeable customer service. CSAT survey offers are sent following a call to 311 during campaigns which take place sporadically throughout the year. Offers are sent via email and text message in all designated citywide languages. This dataset is updated when a survey campaign has concluded. Each row of data represents an individual survey response. Any potentially personally identifiable information has been removed. See the 311 Resolution Satisfaction Survey dataset for customer feedback on the resolution of their service request by the relevant agency.

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The columns likely cover a range of factors that influence customer satisfaction, such as flight punctuality, service quality, and so. By analyzing this dataset, airlines can gain valuable insights into the factors that contribute to customer satisfaction and tailor their services accordingly to enhance the overall customer experience.

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As of 2024, the online network with the highest score according to the American Customer Satisfaction Index (ACSI) was TikTok, with 77 out of 100 points, this is a year on year change of one percent. Overall, YouTube earned a rating of 77 percent, down from 78 percent in 2023. Instagram saw the highest increase in customer satisfaction, with 76 points in 2024, up from 73 in the previous year.

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Customer satisfaction.

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The Communications and Technology Management (CTM) Department asks customers to fill out a survey rating our customer service to gain valuable insights into their experiences and satisfaction levels. This feedback helps us identify areas where we excel and highlights opportunities for improvement, ensuring we consistently meet and exceed our customers' expectations. By understanding their perspectives, we can make informed decisions that enhance our services and foster stronger relationships. Ultimately, these surveys empower us to create a better experience for everyone, demonstrating our commitment to continuous growth and customer care. These questions have remained consistent year over year since 2015 through 2024.