Why is customer satisfaction so important today? Why have countless authors written countless articles on its importance?
Perhaps it's because customers today have their own expectations about how they want to be treated. The brand's job is to always meet these expectations. This may be because it is much cheaper for companies to retain an existing customer than it is to acquire a new one.
The truth is, there are a million reasons to focus on customer satisfaction, from convenience to value. But we're not here to discuss its importance, or even give a historical overview of the growth of customer satisfaction as a business discipline. We're here today to talk about a very important element of customer satisfaction: how to measure it.
Measuring customer satisfaction: compliance
Whenever you try to measure some aspect of your business, the result is always the same: you need to measure something. In other words, you need to establish a baseline and start setting goals. But what you want to measure should be determined by why you want to measure it. So why do you want to measure satisfaction?
First of all, there are simple reasons. If overall customer satisfaction is positive, publishing your stats can boost morale. Your customers can also act as evangelists and referrers, which also translates into a significant increase in sales. But the result of sharing your scores is not the real reason to measure satisfaction.
You should measure customer satisfaction based on what they tell you.
Even the worst performance offers opportunities to improve your service or product. The metrics you want to measure should serve as leading indicators for some areas of your business and KPIs for others. For example, if your customer service department sends out a customer satisfaction survey, the results of that survey may very well be that team's KPI. However, the same result may indicate a different action on the sales line. Satisfaction can be a leading indicator of employee turnover, while dissatisfaction can be a leading indicator of turnover.
Measuring customer satisfaction is about making connections to learn: connections between what your customers say and do, and connections between what you say and do and how it makes your customers feel.
So how are you going to make the most of this opportunity?
Quantitative and qualitative data
Unlike most other business scenarios, where data is quantitative when it is objective and implicit, and qualitative when it is subjective and explicit, customer satisfaction data is almost always subjective.
Yes, the number of likes on a customer service Facebook post is an objective and measurable measure. It can also indicate that you generally have satisfied customers. But it could also be that it has nothing to do with your customers.
Good customer satisfaction data can be quantitative or qualitative, implicit or explicit. But what's the point if it's not subjective? After all, it is about the experience of your customers.
Verified quantitative data
The measurable aspects of customer satisfaction are easy to understand. Commonly used metrics include Customer Satisfaction Score (CSAT), Customer Loyalty Score* (NPS), and Customer Effort Score (CES). In general, companies working on these metrics follow fairly standardized approaches:
Customer Satisfaction Rating
The value of customer satisfaction is explicit information from a customer survey. In such a survey, customers are directly asked about their experience and satisfaction using an answer scale (eg from 1 to 5, not at all satisfied to very satisfied).
You can use CSAT whenever there is interaction between your company and a customer, regardless of the size of that interaction. You can use it after completing a phase of a project, customer service through a support call, or when a customer leaves your onboarding process. However, CSAT has a downside: it's closely tied to unique experiences, not the overall experience of interacting with your brand or company.
For this review, look at Net Promoter Score (NPS).
Net Promoter Rating
You probably know the NPS. In any case, you yourself have received one of these surveys. Designed to roughly quantify word of mouth, this score helps you measure your customers' overall satisfaction with a brand, product or service, as well as their increased loyalty to your company.
It depends on the answers to the question: On a scale of 010, how likely are you to recommend our products/services to a friend? Depending on the answer, the respondents are divided into three categories:
- Promoters - respondents who scored 910 points.
- Respondents who scored 78 points are considered passive.
- The critics are the respondents who obtained 06 points.
They then subtract the percentage of detractors from the percentage of promoters to determine the company's overall NPS. By looking at this quantitative data year after year or perhaps quarter by quarter (depending on your product/service cycle), you can begin to identify trends and use the insights you gain to improve your customer experience.
However, like CSAT, NPS is limited in scope. It cannot explain the exact moment of satisfaction or dissatisfaction or let you know if the link is happening in real life. Essentially, it serves to measure the general mood of customers over time. And there is another evaluation that can contribute to this state of mind: the evaluation of the client's efforts.
Customer Effort Evaluation
Customer effort evaluation became popular in 2010 after the publication of an article in HBR about customer loyalty research. As HubSpot said, the article is enlightening not because of the quality and depth of the research, but because of the paradoxical conclusion: the easiest way to increase customer retention is not to impress them, but hire them to help them. relieve. rounded.
Respondents are asked how much effort they had to put in, for example in a format such as Is it easy to solve your problem?
A customer's effort score can be measured on a scale that typically ranges from 1 (so easy I didn't even know I had a problem) to 5 (like a marathon).
Like NPS and CSAT, CES has its limitations. While it's often closely related to loyalty, it may be less applicable to the overall brand experience than it is to a single point in time. The best approach to collecting quantitative data is to create a feedback loop that includes all three types of surveys at the right time. (more on this later).
Quantitative feedback is, of course, only half the picture of satisfaction. Quality information is also important.
A qualitative approach to measuring customer satisfaction
Quality information is just as important to understand your customers. This is information that reveals more if you dig below. So to get insights you need to ask important questions and pay attention to different channels, places you might not go first for data.
ask why
Qualitative data can be seen as more personal to the respondent. Your willingness to share it should not be taken lightly. This asks your customers to ask themselves something: write a story about their experience. If you ask questions about why they provided quantitative feedback, you can dig deeper into the story.
If you're collecting quality information, you need to know why. This is what you can ask and this is what you can learn. Why have your customers decided to stop working with you? Why did they give your product an 8 out of 110? What are you looking for? All of these questions can be asked as open fields in surveys you already use.
It is important to note that these "why" questions can also be asked outside of quantitative studies. And it turns out that in some cases this information can be collected without asking.
Reviews, Conversations & Social Trends
Much of your quality customer satisfaction information may be open and available to the public. View your company's testimonial pages, record conversations between your service team and customers, and follow social media posts promoting your product. Wherever you look, you will understand how your customers feel.
After all, there is no discussion here. You can't just collect this or that kind of feedback. You need both quantitative and qualitative data to really understand customer sentiment.
Develop a feedback program
Start by identifying places in the customer lifecycle where you are already collecting feedback. A channel can be anything from social networks to review sites. Feedback can be quantitative or qualitative in nature. Classify it accordingly.
Then think about what questions, if any, you can ask and what questions you can ask without creating unnecessary friction. Look at the wording, the meaning. Consider the result of gathering information. How does your company use information today? How will you use it in the future?
Develop a set of goals for each stat. These goals should be time-bound and relevant. Lay a foundation, choose where to ask questions and you're ready to into a whole new world of customer satisfaction measurement.
The good news is that there is always something to learn. But there are certainly ways these efforts can go wrong. What should be avoided when creating a program?
How not to measure customer satisfaction
As with any data you collect, you need to be careful. Not all information is the cleanest or most reliable. Not all questions are correct. Don't fall for these common mistakes:
- Biased feedback due to survey format
- intrusiveness
- ignore information
Mistake #1 is very easy to make. This isn't a knell for your measurement program, but if you can avoid bias in your questions, it's the best way. There are many ways to introduce bias into a survey. It can only be sent to customers that you know have had a lot of experience. Or you can use a trick question. You want your questions to be specific, not leading. You want to get an answer, not give one.
It's also pretty easy to be pushy about polls. If your surveys are sent too often or at inconvenient times, they can be more annoying to customers than collecting real feedback. In some cases, this results in low response rates. In some cases, this leads to false negative results.
Perhaps the biggest mistake you can make with customer satisfaction data is collecting the information and never using it. As mentioned above, when designing a program, you should keep your goals in mind. You need a good reason to ask your customers to do their best to share their stories. There are! Decide that you will study the data at a certain pace and what decisions you will make at that time.
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Literal Meanings of How To Measure Customer Satisfaction
How:
Meanings of How:
The means by which something is achieved.
In which grade.
In what state?.
It is used as a modifier to indicate surprise, pleasure or other strong emotion in an exclamation.
Way or how.
In this, that way.
Hill or artificial mound.
A small hill in the north of England. (Usage has mainly been preserved in geographical names).
A greeting used in representations of Native Americans.
Sentences of How
I am not interested in the why, but in the how.
How often do you exercise?.
How to solve this riddle?.
How are you?.
I remember solving this puzzle.
To:
Sentences of To
With as friend (with as friend) with as (with as ) sacrificial lambs in the lake (slaughtered sacrificial lambs) took her as a (married) woman sold into slavery (they were sold into slavery).
Measure:
Meanings of Measure:
The prescribed amount or quantity.
Action or result of the measure.
Metric rhythm.
Action plan.
Know the quantity of a unit of material, calculated in comparison to the norm.
(having a certain size), (having a certain size).
Appreciate the universal size.
Judge, evaluate or judge.
Highlight or slow down at equal intervals.
Cross, cross, cross, cross.
Adjust with a ruler or stand.
Match or share by size to emphasize or share by size, often with or without.
Sentences of Measure
We measure the temperature with a thermometer. You need to measure the angle with a level.
The window was two square meters in size.
I measure it at 10 centimeters.
Customer:
Meanings of Customer:
A user, a customer who purchases, or intends to purchase, a product or service from a business or retailer.
A person, especially a person who interacts with others in some way.
Sentences of Customer
Every passerby is a potential buyer.
Great customer, tough customer, customer.
Satisfaction:
Meanings of Satisfaction:
Satisfy a need or desire.
The pleasure that such a performance offers.
The source of this satisfaction.
Remedy for injury or loss.
Justification of the injustice suffered.
Sentences of Satisfaction
He thoroughly enjoyed the dish. it, ask next time.
The count demanded satisfaction in the form of a duel at dawn.
