This article will guide you on how to create a Customer survey about Customer Support Satisfaction. With Specific, you can build your survey in seconds—no expertise required.
Steps to create a survey for Customers about Customer Support Satisfaction
If you want to save time, just click this link to generate a survey with Specific and get an expert-made survey instantly. Here’s how simple it is:
Tell what survey you want.
Done.
Honestly, the process is so fast, you don't even need to read further. The AI will build your Customer Support Satisfaction survey using expert knowledge, and it’s smart enough to ask follow-up questions to gather deep insights from respondents.
Why customer support satisfaction surveys matter
Running customer feedback surveys about support isn’t just busywork—it's one of the highest ROI activities you can do for your brand. Companies that focus on customer-centric strategies generate, on average, 60% more profits than those that don’t. [1] That's not just a number; it's a wake-up call if you aren’t already collecting actionable feedback.
Miss out on these, and you’re missing out on steady growth. Loyal customers are worth up to 10 times as much as their first purchase. [2] Every survey response is a chance to understand, impress, and keep those customers around.
A 5% increase in customer retention can shoot your profitability up by 25% to 95%.[2] Surveys feed you the reasons for loyalty—or churn—directly from your audience.
Get consistent feedback and you’ll spot small issues before they spiral. Proactive problem-solving reduces churn, which means happier long-term revenue for your business.[4]
The importance of customer recognition survey goes beyond numbers. It builds a feedback loop that improves services, increases brand value, and drives referrals. That’s one leverage point you want on your side—Specific’s approach to semantic surveys makes all of that easier and scalable.
What makes a good customer support satisfaction survey?
Not all surveys are created equal. The real value comes from crafting questions that drive both quantity and quality of responses. You want lots of input and you want it to be honest and clear.
Start with clear, unbiased questions. Avoid jargon and double meanings—they confuse respondents and muddy insights.
Use a conversational tone. People are more open and authentic when it feels like a genuine conversation, not an interrogation.
Mix question types for richer feedback.
Bad Practices | Good Practices |
|---|---|
Loaded questions (“Why is our support always great?”) | Neutral phrasing (“How did our support meet your needs?”) |
Dull, robotic tone | Conversational style, polite prompts |
One-size-fits-all, no followups | Dynamic followups, personalized based on respondent input |
If your survey gets a high response rate and people give thoughtful, detailed answers, you know you’ve nailed it.
Types of questions for customer surveys about support satisfaction
Great surveys blend open questions, structured choices, and score-based prompts. Here’s how that works—with examples made for customer support satisfaction.
Open-ended questions: These are best for uncovering feelings, stories, or unusual issues that multiple choice can't reveal. Use open-ended questions when you want authentic narratives or need to know what you don’t know yet.
What did you like most about your recent support experience?
Is there anything our support team could have done better?
Single-select multiple-choice questions: Perfect for quick, scannable insights and to gather trends at scale. Use them when there’s a defined set of answers and you want to see what’s most common.
How would you rate the speed of our support team’s response?
Very fast
Fast
Acceptable
Slow
NPS (Net Promoter Score) question: When you want to measure customer loyalty after a support interaction, NPS is the go-to. You can generate an NPS survey for your customers instantly.
On a scale from 0-10, how likely are you to recommend our support team to a friend or colleague?
Followup questions to uncover "the why": Use these after an ambiguous, unexpected, or particularly positive/negative answer. They help surface the real root cause.
What was the main reason for your score?
Can you tell us more about what made your experience positive/negative?
You’ll find more inspiration and tips in our in-depth guide on best questions for customer support satisfaction surveys.
What is a conversational survey?
A conversational survey feels like swapping messages with a real person—think natural tone, context-aware follow-ups, and banter that prompts honest sharing. This isn’t just a list of questions; it becomes a dynamic, two-way interview.
Compared to manual survey building, using an AI survey generator means your survey is created in seconds, always up to best practices, and evolves with your input. Instead of copying and pasting questions, you get research-grade quality in minutes—with AI ensuring question clarity, smart logic, and engaging follow-up. Here’s how the two compare:
Manual Surveys | AI-Generated (Conversational) Surveys |
|---|---|
Generic, repetitive questions | Personalized, adaptive interviews |
No real-time followups | Smart, context-driven probing |
Slow and tedious to build | Created in under a minute |
Easy to lose engagement | Feels engaging and friendly for users |
Why use AI for customer surveys? Because it saves time, improves question quality, and lets you uncover insights regular surveys miss. For a hands-on walkthrough, check our guide on creating a survey. In short: Specific offers best-in-class user experience for conversational surveys, making it enjoyable to both build and answer your survey, and giving you deeper insights, faster.
Search for “AI survey example” and you’ll see why this approach wins for satisfaction surveys and beyond.
The power of follow-up questions
Follow-ups are where the real magic happens. Specific’s automated AI follow-up questions are designed to mimic a curious human interviewer, probing for details, clarifying confusion, and unearthing root causes—all in real time.
Instead of sending emails back and forth for clarification, these automated followups instantly collect the missing context, so every answer means less time chasing respondents—and higher quality insight. It keeps the flow natural and responsive, just like a face-to-face conversation.
Customer: “Your support team was helpful, but I still had to wait.”
AI follow-up: “Can you share more about how long you waited, and how it affected your overall experience?”
How many followups to ask? Most of the time, two to three are plenty to capture deep context. You should also offer the option to skip to the next question once you get the insight you need. Specific lets you set the follow-up depth for every question—giving you control without losing detail.
This makes it a conversational survey—each interaction builds on the last, delivering clarity and context you never get from a static form.
AI survey response analysis is a breeze with Specific’s AI survey response analysis tools. Even with lots of open-ended answers, you can chat with AI about your data or let it create summaries of key themes at scale. If you’re curious about how to analyze responses efficiently, check out this how-to guide.
Automated, context-aware followups are a new concept—so if you haven’t tried it, generate a survey and experience the depth for yourself.
See this customer support satisfaction survey example now
Ready to level up feedback? Start your Customer Support Satisfaction survey and experience first-hand how AI-powered, conversational surveys give you better answers and actionable insights. Create your own survey—gather real feedback that leads to lasting improvement.