Unsatisfied customers are probably costing you a lot of money.
The first step to overcoming this is to admit that you have room for improvement. The second step is to measure customer satisfaction to find out where you currently stand.
Measuring customer satisfaction doesn’t have to be complicated or expensive. In fact, it’s fairly simple to incorporate customer satisfaction measurement into your current customer success strategy.
How to Measure Customer Satisfaction: A Simple Framework
No matter how you cut it, measuring customer satisfaction comes down to gathering customer feedback via surveys. To accurately gauge customer sentiment, we’ll simply need to ask them how their experience was.
Of course, there are multiple ways you can execute said survey, from the survey design to timing, sample, and even how you analyze the data.
I like to simplify things, so I find it’s nice to think in terms of a framework, for which we can conveniently use the acronym “OCCAM” (think Occam’s Razor).
- Outline Goals and Plan
- Create Customer Survey
- Choose Survey Timing or Trigger
- Analyze Survey Data
- Make Adjustments
Let’s briefly cover the five steps to easily measuring customer satisfaction.
1) Outline Goals and Plan
When embarking on any sort of campaign, it’s helpful to take a step back and ask, “Why are we doing this?”
In business, one must weigh the value of additional information (i.e. the customer satisfaction data) in relation to the cost of collecting it (i.e. the survey process). To be honest, if you won’t change anything after collecting your customer satisfaction data, you’re better off not collecting it. It’s going to take time and effort, so you need to put it to use.
Depending on your business or organizational capabilities, there is a lot you can do with the information. One use is simply to wake you up to the reality of any business: A portion of your customers is going to have an unsatisfactory experience. Every business faces this problem.
When you wake up to that fact, you can choose from many routes to correction. You can:
- Improve key UX bottlenecks that contribute to poor customer experience.
- Expedite customer support interactions with the most frustrated customers.
- Operationalize proactive support like a knowledge base and customer education.
- Test different live chat scripts and support strategies.
The specific solution isn’t necessarily the important part here. The important part is stepping back and saying, “If we see that a segment of our customers is unsatisfied, what will we do about it?”
You can also create an action based on your segment of highly satisfied customers, by the way. Methodologies like NPS seek to segment your customers into promoters, passives, and detractors for a few reasons. One, you can get an aggregate NPS score, thus providing a health check and a longitudinal metric to track and improve over time.
But two, to give you the possibility of segmenting customers based on attitudinal metrics like satisfaction. You can offer your promoters special perks or encourage them to spread the word about their business; they’re the most probable people to act as your “external sales force” -- in other words, your willing and excited customer advocates.
Once you’ve sat down and discussed your goals with key stakeholders, you need to design your survey.
2) Create Customer Survey
You can choose among a few different options for customer satisfaction surveys. There’s no unanimous agreement on which one is best. A few popular methods are:
- Customer Satisfaction Score (CSAT)
- Customer Effort Score (CES)
- Net Promoter Score (NPS)
These are all “one-question” methods that vastly simplify the process of collecting customer insights.
While you may not think the survey methodology matters much, how you ask the question does seem to measure slightly different things.
For instance, a 2010 study found twenty percent of “satisfied” customers said they intended to leave the company in question; 28% of the “dissatisfied” customers intended to stay. So “satisfied” doesn’t necessarily equate to “loyal.”
1) Customer Satisfaction Score (CSAT)
Customer Satisfaction Score (CSAT) is the most commonly used satisfaction method. You just ask your customers to rate their satisfaction on a linear scale. Your survey scale can be 1 – 3, 1 – 5, or 1 – 10, and there is no universal agreement on which scale is best to use.
CSAT is a metric used to immediately evaluate a customer’s specific experience. Here’s how Vipin Thomas, Global Lead of Customer Success at Freshdesk, put it:
“CSAT is a transactional metric that is based on what’s happening now to a user’s satisfaction with a product or service (we try and get a CSAT score within 15 minutes of an interaction).
It is super helpful to improvise on the resolution, mode of delivery, channel, etc. It is ONE (not the only) of the important metrics to evaluate the performance of the support desk. In fact, we publish ours publicly as well.”
2) Customer Effort Score (CES)
Customer Effort Score (CES) is very similar, but instead of asking how satisfied the customer was, you ask them to gauge the ease of their experience.
You’re still measuring satisfaction, but in this way, you’re gauging effort (the assumption being that the easier it is to complete a task, the better the experience). As it turns out, making an experience a low-effort one is one of the greatest ways to reduce frustration and disloyalty.
A CES survey may look something like this:
3) Net Promoter Score (NPS)
NPS asks the question, “How likely is it that you would recommend this company to a friend or colleague?”
his attempts to measure customer satisfaction but also customer loyalty. In doing so, you can come up with an aggregate score, but you can also easily segment your responses into three categories: detractors, passives, and promoters.
You calculate your Net Promoter Score by subtracting the percentage of Detractors from the percentage of Promoters.
NPS is often used as a more general indicator of customer loyalty and brand devotion. Here’s how Thomas explains it:
“NPS is consumed by various different teams to drive retention, sales, product improvements & advocacy.
Some important things to consider would be the channel it is delivered (e.g. email, in-product, phone, etc.), the frequency of delivery (may vary from business to business, ideally a 6 months gap should be good), and the target audience within the customer base (e.g. personas like influencers, decision makers, users, etc.)”.
The above three are commonly used and simple, but that doesn’t cover the scope of customer satisfaction surveys. Depending on your goals you can also send longer email surveys. Really, you can customize it to your desires (just remember that shorter surveys tend to have better completion rates).
In general, don’t ask questions if you won’t do anything with the information.
Still, sometimes longer surveys can be useful.
Created using Google Forms
You can, of course, use more than one methodology, as well (since they all measure something very slightly different).
Thomas explains how you can combine multiple scores for a greater picture:
“We take CSAT And NPS very seriously both independently and in conjunction since a single measure alone won’t show the true picture of why customers are detractors or promoters (NPS) or why you have a lesser than expected CSAT.
CSAT in conjunction with NPS help with a very targeted approach & often are more accurate indicators to spot an advocate or a customer at-risk.
For example, a customer that has had 3 continuous negative CSAT scores over a period and is also a detractor on NPS would be an immediate at-risk customer, while a customer with positive CSAT and a promoter on NPS are potentially the best source of advocates & candidates to cross-sell/upsell since they already have seen the value in their interactions with the process & product.”
In addition, I recommend always appending a qualitative open-ended question, regardless of the customer satisfaction survey you use. Without an open-ended question, you risk limiting your insight into “why” the dissatisfaction may be occurring. Qualitative user feedback can give you tons of ideas when it comes to implementing solutions.
"Qualitative data is the nirvana many of us are searching for, because it what provides us with the most human version of customer satisfaction but with the added benefit of scale and replicability.
To be able to unbiasedly, capture and track qualitative data helps - especially a scaling business - to quickly ascertain where it should focus, both in terms of product support and development."
3) Choose Survey Timing or Trigger
This step is all about to whom you send the survey and when you send it.
If you go back to your goals outline, this shouldn’t be too hard to determine, at least strategically. People tend to forget this step, though, but it's of crucial importance and affects the quality and utility of your data.
Tactically, you can trigger a survey pretty much anywhere at anytime and to anyone nowadays, but strategically, it matters specifically when and where.
"Although there is no “one size fits all” approach to customer satisfaction surveys, there are 3 factors that every company should consider before surveying: What event or action took place before you asked for feedback (these can be time or action based events like completing your onboarding campaign), the time since your last survey to the customer, and is your team’s ability to reply to feedback in a timely manner.
Good examples of event data that can be used to fire a survey are:
- Time since signup
- Key actions taken in your app (for instance, Qualaroo asks right after you receive your 10th survey response)
- Complete user onboarding
Surveying too often will result in low response rates, we recommend a customer satisfaction (NPS) survey seven days after signup, 30 days after the first survey and every 90 days during the customer lifecycle."
With all the options for triggering, though, let’s start with some best practices:
- The closer the survey is to the experience, the better.
- People forget how they felt the longer you wait.
- Who you survey changes what insights you get. If you survey website visitors about their satisfaction, the respondents are anonymous and may be a customer -- or may not be. This will bring you different data than sending an email to recent customers will. Keep that in mind.
- You should survey your customers more than once to see how things change longitudinally. Especially if you operate a SaaS company or a subscription service, regular NPS surveys can help you analyze trends both at the aggregate and individual level.
- Survey people after a key moment of their customer journey.
- If a respondent gives you a high score, think about adding a follow-up ask. For instance, Tinder asks you to rate their app in the app store if you give them a high score.
In general, there are three primary methods by which you can send customer satisfaction surveys:
- In-App or On-Site Surveys
- Post-Service or Post-Purchase Surveys
- Long Email Surveys
Each of these may require a different software or tool. For instance, Usabilla or HotJar specialize in triggered in-app surveys. But if you’re sending post-purchase surveys, you may need something that offers a web interface, like Typeform. Email surveys can usually be performed with any survey tool, like SurveyMonkey or Google Forms.
(HubSpot is also launching a customer satisfaction measurement tool. Click here if you’d like to check it out.)
Different business questions require different survey triggers. You also need to take into account longitudinal data -- how customers’ satisfaction scores change over time. Here’s how Nils Vinje, VP of Customer Success at Rainforest QA, put it:
“The best time to trigger/send a customer satisfaction survey is after a meaningful part of the customer lifecycle is completed.
For example, sending a satisfaction survey at the end of the customer's onboarding will help you capture valuable feedback on how to improve the onboarding experience. At this point, the customer likely has made up their mind on whether or not your solution solves their problem and if it doesn't, you need to know ASAP.
Another checkpoint to send a satisfaction survey is 6 months before renewal. The reason I like the 6-month mark is that it gives you enough time to act on the feedback before you get into the renewal phase.
You can always do something about a problem that you know about but you can't do anything about a problem you don't know about.”
“I recommend surveying in-app and on a rolling basis. This will keep the constant feedback loop going. The technology available makes it easy to manage this.
This way you're getting a sense of people's feelings when you're not releasing products, or doing anything. Most companies do it after releasing features or on a controlled schedule, which will influence your responses.”
4) Analyze Survey Data
Once you’ve collected your data, make sure it doesn’t just sit there dormant and unused. You’ve got all this customer insight, and it’s just waiting to be uncovered!
Depending on the format you used, this could be a simple process or one that requires a Ph.D. in statistics and survey design.
As I mentioned before, calculating Net Promoter Score (NPS) is straightforward. You just subtract the percentage of Detractors from the percentage of Promoters.
Most NPS tools give you the ability to easily segment respondents based on their category as well, and they usually integrate with products where you can take action based on that category.
For instance, if you’re a HubSpot user, you can easily integrate with your survey tool of choice to trigger emails based on survey response score.
If you have a one-question method, simply use the analysis recommended by the methodologies creators. You can usually find this info simply by Googling the survey method + how to analyze (e.g. “how to analyze CSAT”).
If you have open-ended questions, you have a whole new world of analysis to enter (a more time consuming one, but ultimately more valuable).
5) Make Adjustments
Back to my first point: now that you have these insights, what are you going to do about it?
Ultimately, this is a personal decision that will reflect your own findings and capabilities. You may find that a whole segment is dissatisfied because of a particular experience. In that case, you may need to further investigate why that experience (or product) is causing dissatisfaction and run experiments to try to improve upon it. You may find that you have a small percentage of super fans.
Now that you can identify these people, perhaps you can work with your customer marketing and customer success teams to plan advocacy programs.
The possibilities are endless, but it all starts with accurately measuring customer satisfaction.