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Customer Satisfaction Score (CSAT): What It Is and How to Measure Customer Satisfaction

Discover what CSAT is, how it’s calculated, and how it can help you improve customer satisfaction and SLAs in your IT management strategy.

What Is CSAT and Why It Matters in IT Support

According to analyst firm IDC, by 2026, 40% of total revenue for G2000 organizations will come from digital products, services, and experiences. This tells us that digital experience is now—and will continue to be—a key element of business success. In this context, one of the most important business metrics is Customer Satisfaction Score, or CSAT). In IT support, CSAT is crucial because it allows teams to evaluate the quality of technical service and user experience, helping to enhance how a company or brand is perceived. It also plays a key role in broader customer relationship management initiatives.

A Simple but Powerful Metric

The CSAT metric helps assess customer acceptance of products or their overall experience. Data from a CSAT survey—usually based on numerical or qualitative scales—offers insight into what is working well (or not) and how customers feel about specific changes in products or services. The impact is reflected in customer loyalty and the overall reputation of the brand and its offerings.

What Is CSAT (Customer Satisfaction Score)?

The concept of CSAT emerged as a key metric in the 1980s, when companies began to focus on customer experience as a competitive differentiator. Some consider that the term CSAT was coined in 1994 at the University of Michigan as part of the American Customer Satisfaction Index (ACSI). With digitalization and the rise of e-commerce, CSAT has become an essential tool for evaluating service quality in real time. It is measured using the following formula:
CSAT = Number of positive responses (e.g., “satisfied” or “very satisfied”) / Total number of responses, multiplied by 100.
The higher the result, the greater the customer satisfaction level.

Common Examples in IT Environments

  • Post-ticket resolution survey. For example, answering: “How satisfied are you with the support received?” on a scale from 1 to 5.
  • Live support chat. In a live chat interaction, users can rate their IT experience from “Very dissatisfied” to “Very satisfied”.
  • Internal surveys. IT teams can launch internal CSAT surveys to gauge satisfaction with IT services across the organization, typically using a scale from 1 to 10, where 1 is the lowest score.

How to Calculate CSAT

The CSAT score is easy to obtain, as you’ll see below.

Basic Formula with a Numerical Example

Using the formula: CSAT = Number of positive responses (e.g., “satisfied” or “very satisfied”) / Total number of responses, multiplied by 100. If out of 1,000 employees, 810 reported being “satisfied” or “very satisfied,” the calculation would be:
CSAT = (810 / 1,000) * 100 = 81%. This means that 81% of employees are satisfied with the IT service.

Common Scales Used in CSAT

Depending on your organization’s needs and the context in which the survey is conducted, you can choose from the following scales:

Scale Type

Examples

Considerations and Variations by Channel

Numeric

1 to 5: where 1 is “Very dissatisfied” and 5 is “Very satisfied”

1 2 3 4 5

Most common. Easy to apply in quick, digital surveys.

1 to 7: where 1 is “Very dissatisfied” and 7 is “Very satisfied”

1 2 3 4 5 6 7

Offers more precision in evaluation. Often used in digital formats.

1 to 10: where 1 is “Very dissatisfied” and 10 is “Very satisfied”

1 2 3 4 5 6 7 8 9 10

Less common for CSAT. Similar to Net Promoter Score (NPS), which we’ll explain later.

Qualitative or Likert

From “Very dissatisfied” to “Very satisfied” (5 or 7 levels)

Or from “Strongly disagree” to “Strongly agree”

Used to evaluate statements about the service. Common in post-call or support interaction surveys.

Visual

Emojis or happy/neutral/sad faces

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Quick and agile format. Popular in mobile apps and live chats for instant responses.

Star ratings, from 1 to 5 stars

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Very common in social media and product/service reviews. Also used in mobile apps and live chats.

Binary

“Yes” or “No”, or thumbs up/thumbs down.

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Widely used in digital platforms.

Clearly, the CSAT scale you choose should align with the user experience and the specific context of the interaction.

CSAT vs NPS vs CES

To measure customer satisfaction, in addition to CSAT, there are other key metrics like NPS and CES that can be combined to gain a complete view of the customer experience. Net Promoter Score (NPS) evaluates the customer’s overall relationship with the brand, product, or company, using a scale from 0 to 10. It categorizes customers into promoters, passives, or detractors. The formula is: NPS = %Promoters − %Detractors. For example, if you have 6 promoters and 4 detractors, you can conclude that most customers are promoters of your brand, product, or company.
Customer Effort Score (CES) measures the amount of effort a customer must exert to resolve an issue, get an answer, or make a purchase. Its formula is: CES = Total effort score / Total number of responses. Let’s say you ask 100 customers: “How difficult was it to get a resolution to your request?” using a scale from 1 to 7:

( 1 )
Extremely difficult

( 2 )
Very difficult

( 3 )
Difficult

( 4 )
Acceptable

( 5 )
Neutral

( 6 )
Easy

( 7 )
Extremely easy

25 clientes

20
clients

15
clients

10
clients

20
clients

10
clients

10
clients

The calculation would be:
CES = (25 x 1) + (20 x 2) + (15 x 3) + (10 x 4) + (20x 5) + (10x 6) + (10 x 7) / 100
CES = (25 + 40 + 45 + 40 + 100 + 60 + 70) / 100
CES=380/100= 3.8, which indicates a score below acceptable.

To better understand the differences between these metrics and when to use each, here’s a summary table:

Advantages and Limitations of CSAT

The CSAT metric is extremely easy to calculate, which usually leads to a higher response rate compared to other methods that require more effort to complete. Additionally, its simplicity allows for automation and tracking of its evolution over time. On the flip side, CSAT alone does not provide enough actionable insights without further breakdown and analysis. For example, if the survey shows that a large portion of customers are dissatisfied, but lacks follow-up comments or observations, it becomes difficult to understand which factors are driving customer dissatisfaction. For this reason, it is recommended to combine CSAT with other metrics and include additional follow-up questions to gain deeper insights.

Interpreting Results and Benchmarks

While the CSAT score depends on context and the standards set by each organization, there are general benchmark thresholds to guide interpretation:

Score

Level

Interpretation

90% or higher

Excellent

Highly satisfying experience.

70% to 89%

Satisfactory

Generally good level of customer satisfaction.

50% to 69%

Acceptable/Safe Zone

Customers are somewhat satisfied, but improvements are needed.

Below 50%

Unacceptable

Serious issues with customer satisfaction.

It is recommended to compare your organization’s CSAT with industry benchmarks to properly evaluate your performance.

What to Do When Scores Drop or Turn Negative

Since CSAT provides a number—but not the reasons behind it—it’s essential to analyze patterns in survey responses and customer comments. You should also complement CSAT with other metrics like CES and NPS for a more complete picture. Effective communication with customer support teams is crucial. Make sure they are aware of the results and provide training so they can respond with more empathy and accuracy.
On the business process side, consider implementing tools and technologies that optimize customer response workflows. Automation can play a key role—not only to encourage self-service but also to speed up your support team’s work. Lastly, foster a data-driven culture. Use collected information and predictive analytics to refine strategies and act proactively, rather than reactively.

When and How to Conduct CSAT Surveys

CSAT surveys can be applied at strategic moments to gather insights about customer satisfaction, such as: after an IT support interaction; following the purchase (in-store or online) of a product or service; during project management, stages—e.g.; after launching a new app, service, or software; after critical moments, such as a service outage. To do so, leverage multiple channels and formats:

  • Email following a ticket, service, or purchase
  • Pop-up forms after an interaction or purchase
  • Live chat prompts at the end of a support session
  • Automated surveys following a customer service call
  • Quick polls or emoji-based reactions on social media
  • In-app pop-ups after an action within enterprise applications, whether from a mobile device (especially in BYOD strategies) or desktop
  • In-person, using buttons or touchscreen devices at service points

Frequency, Automation, and Segmentation

To effectively apply CSAT scoring: trigger surveys after key interactions (e.g., change management actions, service upgrades, or tech incidents); carry out periodic surveys (quarterly, semiannually, or annually) to monitor trends over time.

Automate survey distribution across digital channels post-interaction, also integrate CSAT feedback with your Customer Relationship Management (CRM) platform and leverage AI for interpretive and predictive analysis to detect patterns and potential problems early. Additionally, segment your audience based on: customer type (internal vs. external) and service tier (basic, advanced, premium).

Strategies to Improve CSAT

To successfully implement CSAT metrics within IT service management, the following key strategies should be considered:

  • Support Team Training. Equip your support staff with strong technical skills and effective communication abilities. Ensure they’re proficient with the CSAT tools and software, as well as analytics platforms and AI-based systems that enhance their daily workflow and enable real-time assistance.
  • Process Improvement and SLA Definition. Establish clear, realistic Service Level Agreements (SLAs) with measurable performance indicators. Focus on optimizing response times and the efficiency of ticket resolution.
  • Effective Ticket Closure. Make sure each issue is fully resolved before closing a ticket. Follow up with the user to confirm satisfaction, and document solutions to streamline future responses and knowledge sharing.
  • Active Listening and Continuous Analysis. Remain open to all feedback—even the negative—and use it to identify improvement areas. Monitor trends proactively and apply CSAT surveys consistently after each interaction. Ongoing analysis is critical to refining processes and delivering consistently better user experiences.

Common Mistakes When Using CSAT

The success of implementing CSAT surveys relies on avoiding several common pitfalls, such as:

  • Poorly worded or overly long questions. Long or unclear questions can significantly lower the response rate. Additionally, misleading answer options and the absence of open-ended questions or space for comments can reduce the quality of the feedback.
  • Bad timing of survey distribution. Sending the survey too long after the key interaction makes it harder for the respondent to recall the experience, reducing accuracy and relevance.
  • Low volume or excessive noise in data. If too few people respond (e.g., only 15 out of 100 customers), the results won’t be representative. On the other hand, poorly designed surveys can introduce noise, leading to rushed or inattentive responses and sample bias.
  • Failing to analyze or act on the results. Collecting CSAT data isn’t enough—the real value lies in using that feedback to drive concrete improvements. A related mistake is not communicating changes made as a result of the feedback to the teams involved in service delivery.

How Pandora FMS Helps Manage and Improve CSAT

Pandora FMS is an IT monitoring and management solution that helps you and your team implement and enhance CSAT adoption in the following ways:

  • Integrated surveys upon ticket closure. From a single platform, Pandora FMS centralizes ticketing data and critical events, enabling fast, well-informed issue resolution. This has a direct impact on customer satisfaction.
  • Visual dashboards of results and trends. With real-time monitoring and history reports presented in an intuitive way, Pandora FMS accelerates the interpretation of CSAT results so you and your team can make timely decisions.
  • Direct relationship with SLAs and technical KPIs. Pandora FMS allows you to define and enforce service levels while avoiding service interruptions. It generates detailed service quality reports and integrates with support tools (Help Desk and CRM), speeding up customer responses and reducing user effort—thereby positively affecting CES scores.

The all-in-one Pandora FMS platform allows you to track performance by operator or department, making incident management and team performance monitoring more efficient.
So with Pandora FMS, you can make strategic adjustments to customer support based on evolving IT satisfaction trends.

Conclusion

A low CSAT score can signal issues in service quality and highlight necessary actions within IT risk management. That’s why CSAT is a valuable tool for continuous improvement. By combining CSAT with other metrics, you can better understand how risks impact customer perception.
Like any KPI, CSAT requires regular tracking and a data-driven culture supported by the right tools to ensure consistent and timely customer satisfaction. Remember, Pandora FMS can help you detect and solve incidents in real time—before they affect your customers—by providing actionable insights. It’s not just about knowing how well or poorly the IT customer experience is going, but understanding why and identifying the ongoing areas of opportunity. Contact the experts at Pandora FMS to guide you in leveraging these metrics effectively.

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