Your NPS score tells you how many customers would recommend you. It doesn't tell you what went wrong for the ones who wouldn't. Those answers already exist. They're sitting in your support tickets and chat logs.
What NPS Misses
NPS asks one question and gets one number back. Even with a comment box, most people skip the comment. Gartner's 2024 research notes that surveys fail to capture feedback beyond the questions you ask. That leaves a gap between what customers think and what you know.
Response rates widen the gap. Gartner puts the average customer service survey response rate at 23%. Most of your customers never answer at all.
The scale of what you're missing
IBM estimates that unstructured data makes up about 90% of all enterprise-generated data. For CX teams, that means support emails and chat transcripts. Most of it never gets read beyond the single ticket it belongs to.
- 23%Average service survey response rateSource: Gartner
- 90%Of enterprise data that is unstructuredSource: IBM
Figures as cited in this article
Why Support Tickets and Chat Hold Better Feedback
Customers write to support when something matters enough to fix. They describe the problem in their own words, often in detail. Qualtrics research found that surveys skew positive, while emails and calls skew negative. Your support channels capture the frustration your surveys miss.
Customers are also turning to direct channels. After a poor experience, 21% of people who still give feedback now pick up the phone, up 4 points since 2021. Qualtrics' Isabelle Zdatny said that shows customers are “not afraid to reach out to contact centers.”
Complaints arrive where help lives
A customer with a billing error won't fill in a survey about it. They'll open a ticket. If you only read surveys, you'll never see that pattern.
Where the frustration shows up
Surveys
- Skew positive
- Most people skip the comment
- Miss feedback beyond your questions
Support tickets and chat (the approach the article favours)
- Skew negative
- Problems in customers' own words
- Written when something matters
How to Analyze Unstructured Feedback
Reading tickets one by one doesn't scale. AI theme detection groups thousands of messages by topic and sentiment in minutes. You might see that 12% of tickets this month mention a broken export, and that the share is rising.
Getting the text is only step one. “Turning voice and text into data is just part of the challenge,” said Gartner's Deborah Alvord. The insight has to reach the teams who can fix the issue.
Clean the data first
Strip out email signatures and agent macros before analysis. Otherwise your themes fill up with noise like “thanks for reaching out.” Link each ticket to an account so you can sort themes by customer value.
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Putting Ticket Insights to Work
Connect your helpdesk through integrations so tickets flow in daily. Then review ticket themes next to your survey themes in one view. Our post on omnichannel VoC covers how to bring more sources together.
Report themes with your NPS
When NPS drops, show the top ticket themes from the same period. That turns a number into a story leadership can act on. See how this works in NPS analysis. To find more gaps in your survey data, read how unsolicited feedback reveals NPS blind spots, or book a demo.
From tickets to themes
- Connect your helpdeskTickets flow in daily
- Clean the dataStrip email signatures and agent macros
- Link tickets to accountsSort themes by customer value
- Group by themeAI groups messages by topic and sentiment
- Report with your NPSTop ticket themes from the same period
Frequently asked questions
What is unstructured customer feedback?
It's feedback in free text or speech, like support tickets and chat logs. It has no fixed format, so it needs text analysis to measure.
Can you measure NPS from support tickets?
Not directly. You can measure sentiment and themes from tickets, then compare them with your NPS results for the same customers.
How do you analyze support tickets for feedback?
Use AI theme detection to group tickets by topic and sentiment. Clean out signatures and macros first so the themes stay accurate.
Why is support data useful for VoC?
Customers contact support about problems that matter to them. Those messages explain issues that surveys rarely capture.
What percentage of enterprise data is unstructured?
IBM estimates around 90% of enterprise-generated data is unstructured.
Do I still need NPS surveys if I analyze tickets?
Yes. NPS tracks loyalty over time. Ticket analysis explains the movement in that score.
