According to the American Customer Satisfaction Index (ACSI), the index score of customer satisfaction with the search engine Google from 2002 to 2022 has fluctuated between 86 and 77 index points out of 100. In the most recently reported period, the customer satisfaction score of the online search provider was 81.

Austin Energy is proactive in addressing customer needs and regularly monitors customer satisfaction through customer surveys. In recent years, overall customer satisfaction has gone down. The drivers of the lower satisfaction are customer perceptions of price and value resulting from an overall increase in utility bills, despite Austin Energy providing reasonable and affordable electric rates. Residential and Commercial surveys are conducted quarterly while key account surveys are administered annually. Find more information at http://austinenergy.com/go/reports.

Background: “In 2006, the Seattle Police Department began surveying members of the public (customers) who had personal contact with an officer after calling 9-1-1. The surveys have been conducted two to four times a year, and a total of 44 surveys have been conducted to date. These surveys have been designed to assess customers’ experiences and satisfaction with the service provided by the Seattle Police Department, and the results of the surveys have been used to assess service delivery; examine differences between precincts; identify strategies and tactics to achieve specific service objectives; and provide feedback to officers, precinct captains, and watch lieutenants. This report presents the results of the September 2019 customer survey and compares the September 2019 survey results to results from the 13 other surveys conducted since March 2016.” Research Methods. “Similar to the previous surveys, 200 customers who called 9-1-1 and had an officer dispatched to provide assistance were interviewed by telephone for this survey. All of the customers interviewed had called 9-1-1 between August 21 and August 29, 2019, and were randomly selected from lists of 9-1-1 callers who had an officer dispatched to provide assistance, excluding sensitive cases such as domestic violence calls. The interviews were completed between September 3 and September 10, 2019. The interviews were approximately 10 to 12 minutes long. The questionnaire used in the interviews was developed with Department input and approval. During the course of this research, some questions have been added to or deleted from the survey questionnaire to reflect the changing information needs of the Department. However, questions about customers’ overall satisfaction with their experience with the Department after calling 9-1-1, experiences with and opinions of the officer who first visited after the call to 9-1-1, opinions of the Seattle Police Department overall, and satisfaction with the service provided by the 9-1-1 operator have been included in every survey. Since late 2006 and early 2007, the surveys also included questions about customers’ feelings of safety in Seattle.”

The top customer service priority worldwide for 2024 was increasing customer satisfaction, with nearly 80 percent of customer service leaders who stated this as their answer. Reducing customer service response time was somewhat further down in the list of top customer service priorities, with 54 percent of respondents who claimed this was their top priority for 2024.

1823 provides a round-the-clock one-stop service to answer enquiries for 23 departments and to receive complaints about any area of Government services. Data on external customer satisfaction survey score related to the performance of 1823 will be provided.

This statistic shows customer satisfaction levels across the United Kingdom (UK) from January 2009 to July 2024, as an index level. In July 2024, satisfaction levels were measured at just under 76 out of 100. Satisfaction among customers in the UK has dropped over the last feveral measured periods, and was at its peak in 2022.

Key results from the annual Mayor and Chief Executive Officer Survey

This dataset provides a sample of survey data collected by the American Customer Satisfaction Index (ACSI). Using online sampling and stratified interviewing techniques of actual customers of predominantly large market-share (“large cap”) companies, the ACSI annually collects data from some 400,000 consumers residing across the United States for more than 400 companies within about 50 consumer industries. For this data depository, consumers’ perceptions of their experiences with individual companies included within four consumer industries as defined and measured by ACSI – processed food, commercial airlines, Internet service providers, and commercial banks – are included in the dataset. The overall sample size is n=8239 consumer responses for this sample ACSI dataset.

The dataset showcase the overall monthly results based on the partner organizations’ feedback on six statements, one per driver (shown below) – with the exception of Timeliness, which has two questions. Responses are calculated using a five-point scale from “Strongly Disagree” to “Strongly Agree”. 1. a) Timeliness: Overall, I am satisfied with the amount of time it took to receive SSC services. 1. b) Timeliness: When there is an unplanned outage or emergency, SSC addresses and resolves it in a timely manner. 2. Ease of Access: SSC service information is readily available online or from my SSC Account Team. 3. Positive Outcome: Overall, I was satisfied with the SSC services I received. 4. Process Aspects: When I have a problem or service delivery issue, SSC keeps me and my department up to date on the resolution. 5. Engagement Experience: My SSC Account Team manages the relationship effectively.

Customer satisfaction survey for GSA Services.

According to a survey conducted by Statista among more than 50,000 consumers across 34 markets worldwide, consumers in general were very satisfied with the digital services offered by their banks. Customers were asked to rate their level of satisfaction with the digital services of their bank on the scale of 1 - very dissatisfied to 5 - very satisfied. The global customer satisfaction rating stood at 4.11, with South Africa, Brazil, and Poland scoring highest. More in-depth information can be found in the 2025 global bank customer satisfaction survey

This dataset is a synthetic representation of customer feedback and satisfaction data. It includes demographic, economic, and behavioural attributes alongside customer satisfaction metrics, providing insights into customer experience and loyalty.

Dataset Features:

• CustomerID: Unique identifier for each customer.
• Age: Age of the customer in years.
• Gender: Gender of the customer (e.g., "Male," "Female").
• Country: Country of residence (e.g., "USA," "Canada").
• Income: Annual income of the customer in USD.
• ProductQuality: Rating of product quality on a scale from 1 (lowest) to 10 (highest).
• ServiceQuality: Rating of service quality on a scale from 1 (lowest) to 10 (highest).
• PurchaseFrequency: Number of purchases made by the customer within a specified period.
• FeedbackScore: Categorization of customer feedback (e.g., "Low," "Medium," "High").
• LoyaltyLevel: Loyalty tier assigned to the customer based on feedback and behaviour (e.g., "Bronze," "Silver," "Gold").

- SatisfactionScore: Overall satisfaction score calculated based on various factors, ranging from 0 to 100.

Distribution:

https://storage.googleapis.com/opendatabay_public/images/download_(11)_copy_7a10f7d8-f3d7-465c-9700-d6905b0ded52.jpg" alt="Synthetic Customer Feedback and Satisfaction Data Distribution">

Usage:

This dataset can be used for various purposes, such as:

• Customer Segmentation: Analyzing demographic and behavioral patterns to group customers by loyalty or satisfaction levels.
• Predictive Modeling: Building models to predict customer satisfaction or loyalty based on quality ratings and demographic information.
• Sentiment Analysis: Understanding customer sentiment through feedback scores and satisfaction ratings.

- Service Improvement: Identifying gaps in product and service quality to enhance customer experience.

Coverage:

This synthetic dataset includes anonymized and fictionalized data, allowing for safe experimentation and analysis without violating real-world privacy constraints.

License:

CC0 (Public Domain)

Who Can Use It:

• Businesses: To simulate and analyze customer satisfaction and feedback trends.
• Students and Educators: For practising data analysis, visualization, and predictive modelling.
• Data Scientists: To develop and test machine learning models related to customer satisfaction and loyalty prediction.

People often use different modes of transport at various times for a range of reasons, so it is important that we continue to listen to how people in NSW rate their experiences throughout their entire journey.

Conducting the ‘Customer Satisfaction Index’ helps us gain insight into the experiences of our transport users, which helps us focus our efforts on improving transport services to meet the needs of NSW residents.

We would like to thank the more than 34,000 people who provided their feedback, either online or face-to-face, for the most recent research, conducted in May 2024.

Public Transport in NSW

Passengers impacted by disruptions due to adverse weather.

Severe adverse weather events in early 2024 affected our public transport passengers, resulting in a slight decline in satisfaction with train timeliness. However, satisfaction with the ‘availability of information about service delays’ has slightly increased compared with six months ago.

As preparation continued during May for the new Sydney Metro expansion, passengers were kept well informed to what to expect with changes to services. Consequently, passengers have remained highly satisfied, particularly with the ‘knowledge of staff’ and ‘information about delays’.

As public transport patronage continued to increase, satisfaction levels for comfort and ‘personal space’ have slightly decreased for buses, light rail and ferries.

Road

Severe weather in early 2024 also impacted road users in NSW, leading to a decline in satisfaction with journey time reliability for private vehicles and motorcycles across the state.

Heavy vehicle users have previously reported low satisfaction with rest areas across NSW. We have been focusing on improving these facilities, and it’s encouraging to see that satisfaction levels have continued to rise.

Active transport users remain highly satisfied, with cyclists increasingly pleased with the ‘ease of connecting to public transport’ and pedestrians appreciating ‘sharing footpaths with others safely’.

Point-to-Point

Satisfaction among users of point-to-point services (taxis, rideshares and hire cars) remains stable overall, with customers most satisfied with their accessibility and convenience.

What’s Next

We will continue engaging with our passengers to gain deeper insights into their experiences across NSW’s transport network. This feedback will guide us in prioritising areas of low and declining satisfaction, helping us work towards delivering a consistently positive experience throughout their journey.

Satisfaction with Edmonton Transit System evaluated on the basis of customers’ experiences, taking into consideration all of their interactions and access before, during or after their trips.

Column metadata can be found at:

https://drive.google.com/open?id=1DbDFxDwnsuLDYOZqja0kvq7Ne6sZigipmcR7xznZi1c

Actual Survey (in its entirety) can be found here:

https://drive.google.com/file/d/158B7TNyiXoXMGP_WD1J6pEAYot4BsPfH

The CTM (Communications & Technology Management) Customer Satisfaction Survey is completed by City Employees once yearly and used by CTM to tracker deliverables and performance measures. For more information on CTM, please visit https://www.austintexas.gov/department/information-technology This dataset holds responses from surveys completed 2020 - Present with comments removed. NOTE: No survey was conducted in the year 2023.

Research Hypothesis:

The hypothesis is that service quality and trust significantly influence customer satisfaction with Telkomsel’s Veronika chatbot. Key dimensions include reliability, responsiveness, and empathy in service quality, and trust based on the chatbot's ability, benevolence, and integrity.

Data and Data Collection:

Data for this study were collected from Generation Z users who have experience using Telkomsel’s Veronika chatbot. A structured questionnaire was administered to 240 respondents, 52.9% of whom were female and 47.1% male, with ages ranging from 18 to 22 years. The data collection occurred between May and June 2024, and the questionnaire was distributed via social media platforms such as Instagram, Line, and WhatsApp. Non-probability sampling methods, specifically purposive and quota sampling, were used to ensure that only those familiar with the chatbot were surveyed.

The questionnaire comprised 31 questions designed to assess three key variables: service quality, trust, and customer satisfaction. A five-point Likert scale, ranging from "Strongly Disagree" to "Strongly Agree," was employed for all questions. Service quality was evaluated using the SERVQUAL model, while trust was measured through dimensions of ability, benevolence, and integrity. Customer satisfaction was assessed using items adapted from the Customer Satisfaction Index (CSI).

Key Findings:

1.Service Quality: A significant positive impact on customer satisfaction was found (β = 0.496, p < 0.001), with reliability and responsiveness being key factors. The highest loading (0.837) was on Veronika’s ability to provide alternative solutions.

2.Trust: Trust was also a significant predictor (β = 0.337, p < 0.001), with confidentiality being the most important trust factor (outer loading = 0.835).

3.Customer Satisfaction: Satisfaction was strongly influenced by both service quality and trust, with outer loadings from 0.908 to 0.918, particularly in terms of the chatbot's clarity and communication effectiveness.

Data Interpretation:

Both service quality and trust are essential to customer satisfaction, with service quality being a stronger predictor. Users value reliability and responsiveness more than trust, though both are necessary for high satisfaction. The reliability of the questionnaire was confirmed with high Cronbach’s alpha values, such as 0.938 for service quality.

Conclusion and Implications:

Improving service quality, especially reliability and responsiveness, will enhance user satisfaction. Strengthening trust, particularly in data security, is also crucial. Future research should explore broader demographics and long-term effects, while qualitative studies could offer more insights into user experiences.

According to a survey conducted by Statista among more than 50,000 consumers across 34 markets worldwide, consumers in general were satisfied with the customer services offered by their banks. According to the respondents, customer service was the third most important aspect of banking. The global customer service satisfaction rating stood at 3.89 out of five, with Indonesia scoring highest at approximately 4.2 index points. More in-depth information can be found in the 2025 global bank customer satisfaction survey

Provide the recent customer satisfaction survey results of our company.