How to measure customer satisfaction: post-ticket ratings and survey questions

Three weeks ago a customer had a problem, called the support line and got it solved. The ticket was closed and everything looked fine in the records. But the customer found the solution slow, felt they had to explain the same thing twice on the phone, and at the next renewal quietly switched to another provider. No complaint came in, no warning was raised. Most dissatisfaction is this quiet, and it only becomes visible when you ask.

Customer satisfaction measurement is the practice of regularly collecting and tracking, through a rating and a few short questions, how satisfied customers are with the service they received. In this article we explain which indicators measure satisfaction, how to collect the rating after a support ticket closes, ready-made survey questions and how to follow up on a low score.

Which indicators measure customer satisfaction?

Each indicator measures something different, and you do not need to start them all at once. For the support team’s day-to-day performance, the most suitable is the satisfaction score asked as soon as the ticket closes, because the experience is fresh in the customer’s mind and the score can be linked directly to one ticket and one employee.

Keep the scale simple: a score from 1 to 5 is enough for most teams, because customers answer quickly without wondering “is it a 3 or a 4?”. Set the scale once and do not change it; month-to-month comparison only makes sense with the same scale.

How do you collect a satisfaction score after a support ticket closes?

1. Confirm the resolution. Close the ticket after confirming the solution with the customer; asking for a rating on an unresolved ticket backfires.
2. Ask for the rating right after closing. As time passes, the response rate and the accuracy of answers fall.
3. Ask a single question. “How satisfied were you with this support?” and a scale from 1 to 5 are enough.
4. Keep the comment optional. After the rating, offer a one-line “why?” field, but do not make it mandatory.
5. Link the rating to the ticket record. The record should show which ticket, which employee and which topic the rating belongs to.
6. Set a rule for low scores. Write down in advance who contacts the customer, below which score and within how many working days.

Customer satisfaction survey examples

Short surveys get far more responses than long ones. The questions below are a ready-made starting point you can adapt to your sector; choose the three or four that fit your purpose rather than all of them at once.

• Overall, how satisfied were you with the support you received? (1-5)
• Was your problem solved? (Yes / Partly / No)
• Was the answer to your request clear enough for you? (1-5)
• How satisfied were you with communication with our support team? (1-5)
• How easy was it to get your problem solved? (1-5)
• Would you recommend us to a colleague? (0-10)
• If you could change one thing for a better experience, what would it be? (open answer)

Where is the score tracked? A simple tracking table

The value of the score appears when it is collected in one place and reviewed regularly. Whatever tool you use, a table like the one below gives the basic view. The sample rows are fictional.

At the end of the month it is enough to look at three things in this table: the average score by person and topic, tickets with low scores, and recurring themes in the comments. A recurring cause points to a broken process more clearly than a single bad score. Present the findings in meetings not only as numbers but with a few real customer quotes; five comments saying “the reply came late” move people to act far more than a single average figure.

Can a satisfaction score be misleading?

Yes; a score is a clue as much as a measurement, and the following limits should be kept in mind when interpreting it:

• Those who respond may be a minority. Usually either very satisfied or very angry customers respond; the silent majority stays invisible.
• Small samples give volatile results. Do not judge an employee on the basis of a few scores.
• The score hides differences between topics. A low score on a complex ticket may reflect the difficulty of the problem more than the employee.
• Turning the score into a target distorts the measurement. If employees start pressing customers for high scores, the number becomes unreliable; rather than rewarding the score, it is healthier to evaluate how low scores are handled.

A fictional example: in its first month, a small software support team collects ratings on all closed tickets. The average is high, but the same sentence keeps coming up in the comments: “I explained the same thing twice.” The problem is not the employees’ attitude; customer information is not passed on to the person taking over the ticket. Looking not at the score itself but at this common theme in the comments, the manager changes the ticket handover rule, and in the following month the sentence disappears from the comments.

What should you do when a low score comes in?

• Get back to the customer promptly and through the channel the original request came from; listen before defending yourself.
• Ask about the source of the problem: a person, a process or the product?
• If something can be fixed, fix it straight away; if not, explain honestly why.
• Add the conversation to the ticket record as a note.
• Put low scores that recur for the same reason on the process improvement list.

Can you run surveys with forms, e-mail and WhatsApp?

Yes; in fact, most companies start this way. A form link is sent and the answers land in a spreadsheet. At low volume this is enough. The difficulty lies in matching the score to the ticket: which ticket does a form answer belong to, and who handled it? Seeing who did not answer the survey takes extra effort. And nobody follows up on a low score on their own; someone has to look at the spreadsheet and notice it. Asking survey questions on WhatsApp leaves the answers on individual phones, which makes them hard to collect and compare.

Ticket and rating flow in YazSis CRM AI

YazSis CRM AI is the CRM backbone of YazSis’s support and sales hub, and today it runs in YazSis’s own hub. Support tickets are opened from the customer panel, through the KurumsalPortal bridge or by staff on a customer’s behalf; replies, internal notes, attachments, assignment and the SLA time all sit on a single ticket page. Company users open their tickets in the customer panel, reply, rate closed tickets from 1 to 5 and see their licence status.

A support ticket opened from within KurumsalPortal lands in the hub, and the reply from the hub goes back to the portal. The dashboard shows the tickets assigned to you and those that have exceeded the SLA, so you can spot delays even before a rating comes in. We suggest deciding in advance in which table and at what interval you will review the ratings, as in the template above.

Satisfaction measurement is not something you set up once and leave; the real value comes from turning the score into a habit that is reviewed regularly. Reading two or three low-rated tickets together in the weekly support meeting improves the process faster than most reports. First set up a one-question rating on closed tickets and write down the follow-up rule for low scores. To see the ticket, reply and customer panel flow, you can explore the YazSis CRM AI page.