Improve customer satisfaction with surveys
Effectively gauge customer satisfaction and turn feedback into customer loyalty.
What is customer satisfaction (CSAT)?
Customer satisfaction is defined as a measurement that determines how happy customers are with a company’s products, services, and capabilities.
How does CSAT work?
Customer satisfaction feedback generated through a range of methods, including surveys and ratings, can help identify your strengths and determine the best ways to improve or update products and services.
Why should I continuously measure customer satisfaction?
Yes, tracking CSAT is key to the ongoing success of your company. It provides a data-backed check-in to make sure that you are keeping pace with your customers expectations.
What are common ways to gather customer feedback?
From convenience to professionalism, customer surveys let you effectively gather valuable customer feedback to help you build a stronger business strategy. Here are a few ways to start:
- Tap into your potential markets with consumer surveys
- Learn from the voice of customer
Understand the experience within customer touchpoints
Remove the guesswork from your customer satisfaction surveys
Take our CSAT questions and make them yours with our survey template.
Types of customer satisfaction survey questions
Getting useful and actionable answers requires asking the right types of questions for your customer satisfaction surveys. Here’s how to use question types to effectively measure customer satisfaction.
Likert scale responses for customer service are very flexible and can be used to measure a variety of sentiments; from agreement, to satisfaction, frequency, and desirability.
For example, you might be interested in how often customers use your online help portal, in which case a frequency response (ie: Never, Rarely, Sometimes, Often, Frequently) would be useful.
Below is an example of a customer service Likert scale survey question.
- Overall, how satisfied or dissatisfied are you with our company?
Learn more about the reliability of the Likert scale>
