Customers may have hundreds of interactions with your company over the course of your relationship, where each one represents an individual data point on how they feel about your products, services, and more. Measuring these data points over a customer’s life cycle is challenging by itself. It becomes exponentially more complex when you scale it across the hundreds, thousands—or more—people who make up your customer base.
Yet this holistic understanding of how your customers feel about your organization defines customer experience (CX) and is key to driving loyalty, growth, and revenue for companies around the world. Customer experience is how customers perceive your organization as a result of all the contact they have with your team and your products—from when your relationship starts to when they stop working with you.
Measuring and tracking customer experience is essential to helping your organization achieve success, but doing so requires a thoughtful process. You’ll need to collect the right types of feedback and analyze them comprehensively, quickly, and collaboratively.
We’ll show you how, and we’ll provide the resources you need to start measuring customer experience. To start, we’ll talk about why CX is so important, but if you’re eager to skip ahead to a specific section, you can click-through the following table of contents!
There’s a seemingly endless number of statistics that validate the importance of CX. For example:
Unfortunately, organizations by and large fail to live up to customer’s standards. According to research by Bain & Company, 4 out of 5 CEOs think they provide customers with superior experiences, but only 8% of those customers agree.
To give clients what they’re looking for, you have to get systematic. You’ll need to continuously collect feedback from every customer, analyze their responses, and share them out across the team so they can take action.
Let’s begin our step-by-step walkthrough of this framework by reviewing the different ways you can assess customer sentiment.
To measure customer experience successfully, you’ll need to be thoughtful about how you collect feedback as well as what you ask. There are several ways that companies measure customer experience, each with their own set of pros and cons.
1. Run customer surveys. Surveys are probably the most common method for measuring customer experience, and it’s not hard to see why. Since you can use one questionnaire to gather thousands of responses, you can make short work of measuring even the largest groups of customers.
Data collection can be a touchy subject. Explicitly mention that your survey is anonymous. Otherwise, customers might think their responses can be traced back to them, which can make them uncomfortable in providing candid feedback.
2. Interview individual customers. If you want to get detailed, in-depth feedback from the people you rely on for your business, there’s no better way than to talk to them directly. It may seem time consuming, but direct contact with customers can be well worth it.
3. Conduct focus groups. Focus group discussions tend to be more free-form than surveys or direct interviews, which are usually scripted. You don’t even have to get everyone in the same room to have a focus group—you can hold the meetings over video conference or on the phone.
It can encourage groupthink. Participants may feel inclined to agree with each other, even when they feel differently.
Deciding how often to collect feedback—and when—depends on the method you choose. Aim to send your survey every 3-6 months, interview customers a few times per year, and hold focus groups for specific purposes, irrespective of time.
No matter how you plan to collect feedback, there are certain questions you’ll want to ask. Let’s review what they are.
Note: These approaches to collecting feedback should complement your analysis of financial data points. These include your churn rate (the rate that customers stop using your product or service after a given period of time) and your average customer lifetime value (the expected profit you’ll receive from a customer over the course of your relationship with them.).
1. Net Promoter Score® (NPS): The most widely used customer experience metric is the Net Promoter Score. From understanding the likelihood that customers will churn to the chance they’re willing to buy additional products or services, no metric is better for understanding the likelihood that your customers stick around and buy more from you in the future.
The NPS can be used to measure the customer experience at specific time-based intervals (“Relational NPS”) or following a defined set of customer experiences (“Transactional NPS”), like after a customer makes a purchase or speaks to a service representative.
The NPS comes from the question, “How likely is it that you would recommend this company to a friend or colleague?” But it’s often also applied to products, services, or interactions with companies. Respondents are asked to select a rating from 0 (lowest) to 10 (highest), and once the responses come back, it applies a formula that results in a Net Promoter Score, which can range from -100 to +100.
Pro tip: If you use the NPS question in our Question Bank, SurveyMonkey will automatically calculate your score once the responses come back.
We consider the NPS question essential to ask, but here are some additional customer experience metrics worth considering:
2. Customer effort score (CES): Customer effort score measures how much effort the customer needs to exert in order to solve issues with your product or service. The idea is that the less friction customers experience with your product or service, the more likely they are to stay on and increase their level of spending. In general, the customer effort score is used to evaluate specific types of experiences in the customer journey (otherwise referred to as “transactional touchpoints”).
To evaluate your customer effort score, you can simply ask, “[Your company] made it easy for me to handle my issue.” with the answer choices ranging from strongly agree to strongly disagree. You can then assign numerical values to each choice. For instance, “Strongly agree” can be a 1, “Agree” can be a 2, “Neither agree nor disagree” can be a 3, and so on. You’d then calculate the average score from all of your answers, where a higher average rating reflects a higher level of effort for customers.
3. Customer satisfaction (CSAT) score: The CSAT score is designed to measure customers’ overall sentiment of something, like a product, company or service. Instead of focusing on a specific element of the customer experience, like loyalty or effort, it attempts to get a holistic read of customers’ feelings about an issue. The most common way to ask about general customer satisfaction in a survey is to ask, “How would you rate your experience with our (fill in the blank)?” with the answer choices ranging from very satisfied to very dissatisfied.
To get your CSAT score, take the number of satisfied customers (those who selected “very satisfied” and “satisfied”) and divide it by the total number of respondents. Then, multiply the fraction by 100 to give you a percentage—where a higher percentage means that, all else equal, you have more satisfied customers!
One of the best things about running customer surveys is that the feedback you receive is easy to analyze, understand, and act on. Since it comes in the form of survey data, it’s simple to quantify and measure your results and spot patterns that can inform how to improve customer experience.
Review your survey results effectively by following these 4 steps:
Using SurveyMonkey Analyze, take a look at the responses from each of your closed-ended questions (prompts that ask respondents to select an answer from a predefined set of choices).
If you asked the NPS question from our Question Bank or from one of our pre-built templates, SurveyMonkey will automatically calculate your score.
You can check to see how it compares to other companies in your industry, company size, or area by using SurveyMonkey Benchmarks. Simply click on the bar chart icon (above and to the left of the NPS score visual) to access them.
For each of your other closed-ended questions, build customizable charts. They can help you identify the key takeaways from your results, quickly.
After you understand the general sentiment of your customers, look deeper to find out how the individual groups that make it up feel.
Filter your results by Detractors, Passives, and Promoters to see how each group answered the rest of your questions.
Note: If you're interested in finding out exactly what factors are having the biggest impact on your NPS, try SurveyMonkey CX. The turn-key NPS solution offers a Key Drivers feature, which lets you identify strengths and weaknesses and correlate them to your score, so you know what to focus on to have the biggest impact on your customer experience.
You can use compare rules to see how customers’ answers vary by factors like: the length of time they’ve worked with you, the industry they’re in, the way they use your product/service, etc. After applying any rules, you should see side-by-side comparisons of each group across every closed-ended question.
For example, if you compare customers who’ve worked with you more than a year with those who’ve worked with you less than a year, you can get the following chart from the question, “How would you rate the quality of our product?”
When customers tell you something in their own words, you’ll want to listen closely. Their feedback can help you figure out how to improve your product/service, identify pressing issues to address, and much more.
You can review each open-ended response individually, but to get a broad, easy-to-understand summary of what’s being said, use our word cloud feature. It shows you the key words/phrases used in your responses, where the relative size of each word or phrase indicates how often it’s used.
For example, say your organization sells sparkling water. The word cloud from your customers might look like this:
With only a quick glance, you can tell that most customers think your water is refreshing and bubbly—but also expensive and fancy.
It’s also a good idea to use Sentiment Analysis in addition to our Word Cloud. Sentiment Analysis is an AI-powered feature that uses machine learning to categorize open-ended responses as positive, neutral, or negative. It then shows you the sentiment breakdown of respondents by percentage.
This feature can help you understand how happy—or unhappy—your customers are, and it allows you to drill down on a particular sentiment to uncover the reasons behind their feelings.
Say you asked customers the open-ended question, “How would you describe the quality of our sparkling water?” With Sentiment Analysis, you can see something like the following:
Pro tip: Filter any question—or the entire survey—by a particular sentiment. You can then see how respondents who are categorized as positive, neutral, or negative answered other questions.
Understanding how your results are shifting over time and the reasons for their shifts is crucial to delivering valuable customer experiences.
It allows you to spot—and fix—issues quickly, and it helps you evaluate both your team’s and product’s performance over time. Also, by understanding how different areas of your business are trending, you can better allocate resources in ways that benefit your customers.
To see how the responses from any of your closed-ended questions are changing, visit the Data Trends tab in SurveyMonkey Analyze.
Now that you’ve collected your responses and analyzed them carefully, it’s time to share them out with the wider team!
Let’s review each of these actions.
When you review your data as a whole, you’ll likely come away with clear takeaways for what your organization does well at and what it can improve on.
It’s your job to inform the rest of your team what these takeaways are so that they can approach their work with the customer’s interests in mind.
Before you share the survey data with your team, create customizable charts from each closed-ended question, and build word clouds from the open-ended questions. Then save the view.
You can then link to the view in company-wide emails and/or post it in a place any employee can access, like an internal Wiki. Wherever you end up sharing it, try to complement the view with a summary of the key results—in your own words—so that employees can more easily interpret the data.
Customer experience data can have different implications for different teams.
It might help a product team determine the features they should prioritize next or the bugs they need to focus on fixing first. Meanwhile, it can help customer-facing teams understand how well-supported customers are, and pinpoint the biggest opportunities for improvement.
Help each team make meaningful conclusions, quickly, by sharing the most relevant data with them. Like the previous step, this means creating views. However, unlike the org-wide view, each department-specific view should include:
Pro tip: Ask the people you’re sharing your results with how they want the data sliced and diced before you send a view their way. It’ll prevent back and forths and help them see the most relevant data, faster.
Note: To filter by tags, you first need to create the different tags you’d like to use, and then tag each open-ended response by the category it relates to.
Minimize the time it takes to respond to clients’ issues or requests by immediately giving customer-facing employees access to the responses.
You can tackle this in a number of ways:
Improving the customer experience requires setting up a comprehensive system for measuring, analyzing, and sharing your responses over time. Once you nail each of these steps, your customers—and your organization—will be in a position to succeed.
Want more guidance on running a top-notch customer feedback program? Need ready-to-use NPS survey templates? Our customer feedback guide has everything you need to be successful!