Here are some of the best questions for a user survey about perceived value, along with practical tips for designing them. If you’re ready to build a great survey or want to see an AI-powered example, you can generate a user perceived value survey with Specific in seconds.
Best open-ended questions for user survey about perceived value
Open-ended questions help uncover what users truly think—beyond ratings and checkboxes. They invite honesty and detail, letting you see the value your product delivers through your users' own words. That depth is crucial, but keep in mind that open-ended questions can increase nonresponse rates—Pew Research Center found open-ended items can have an average nonresponse of 18% or higher, compared to 1-2% for closed-ended questions. [1] It’s smart to use these questions for qualitative insight, especially in the middle or end of your survey, sparingly.
In your own words, what value do you get from using our product?
What’s the most significant improvement you’ve noticed since you started using our product?
Can you describe a moment when our product solved a problem for you?
What makes our product stand out from others you’ve used?
Are there any features you use more than others? Why?
How has your opinion of our product changed over time?
What would you tell a friend who’s considering trying our product?
Have you ever been surprised by something our product did? Please explain.
What would make our product more valuable to you?
If you stopped using our product, what would be the main reason?
These questions are crafted to dig a little deeper into user perceptions—if you want to go even further, consider using automated follow-up questions to clarify or expand on their answers.
Best single-select multiple-choice questions for user survey about perceived value
Single-select multiple-choice questions shine when you want to quantify insights or lower friction for users who struggle with open-ended responses. They help you start the conversation and spot broad trends, while making it easier for users to answer quickly and for you to summarize results. Since these typically have very low nonresponse rates (just 1–2% according to Pew), they help keep your survey on track and completion rates high. [1]
Question: How would you rate the value our product provides compared to its cost?
Excellent value
Good value
Fair value
Poor value
Question: Which aspect of our product do you find most valuable?
Ease of use
Customer support
Features
Price
Other
Question: How likely are you to continue using our product in the next 12 months?
Very likely
Somewhat likely
Unsure
Not likely
When to follow up with "why?" Follow-ups should be used whenever you want to go beyond the surface. If someone selects "Poor value" or "Unsure," for instance, asking “Why do you feel that way?” can reveal the reasons behind their choice—crucial for product improvements. For example, after choosing “Fair value,” the survey can prompt: “What specifically made you select ‘Fair value’?” This gets at motivations, not just data.
When and why to add the "Other" choice? Always add “Other” when you think your answer options might not cover every possibility. Users may have distinct perspectives you never considered. A follow-up prompt—“Please specify”—can lead you to new opportunities or overlooked problems.
Should you use an NPS question for user survey about perceived value?
The Net Promoter Score (NPS) question—“How likely are you to recommend our product to others?”—is an industry gold standard for measuring customer loyalty and perceived value in a single metric. It offers a familiar format, can be benchmarked, and, when combined with value-oriented follow-up questions, tells you if users both value and advocate for your product. You can create an NPS survey for user perceived value with Specific if you want to try a ready-to-use workflow.
The power of follow-up questions
Follow-up questions are where AI surveys excel compared to traditional, rigid surveys. Every initial answer is a chance to dig deeper, clarify vague statements, or uncover unmet needs. That’s why Specific’s automated follow-up feature uses AI to ask intelligently tailored, real-time follow-ups—just like a skilled interviewer—drawing out the kind of context you’d usually only get from a live conversation. This can massively accelerate insight-gathering, especially when trying to clarify perceptions of value or uncover the “why” behind ratings or choices.
User: “It helped a bit.”
AI follow-up: “Can you share an example of how our product helped you, or what you wish it did better?”
How many followups to ask? Generally, 2–3 follow-ups are enough for each user response. Specific lets you configure these settings to stop after you’ve gotten what you need or skip follow-ups entirely when appropriate. This balance keeps the survey conversational without overwhelming the respondent.
This makes it a conversational survey: Follow-ups turn a static set of questions into a real dialogue—respondents feel more engaged and heard, which boosts both response rates and quality.
AI response analysis and unstructured data: Analyzing long-form or follow-up responses doesn’t have to be hard—AI tools like Specific’s survey response analysis make it effortless to analyze open-text feedback, spot trends, and summarize big takeaways. Instead of reading hundreds of freeform statements, the AI can group, label, and extract insights instantly.
Automated follow-ups are a new paradigm—try generating a survey in Specific’s AI survey builder to experience how much richer the conversation can be for your next study.
How to prompt ChatGPT (or any GPT) to generate great user survey questions
AI tools perform best when given clear, specific instructions. If you want to use ChatGPT or similar to brainstorm questions, here’s a basic starting prompt:
Suggest 10 open-ended questions for user survey about perceived value.
But context is king! Tell the AI about your users, your goals, and the product—that way, the questions will be more relevant:
Our users are mostly small business owners using a SaaS platform for invoicing. We want to know which features they value most and what benefits they’ve realized. Suggest 10 open-ended questions for a user survey about perceived value.
Next, organize ideas into categories for easier selection and editing:
Look at the questions and categorize them. Output categories with the questions under them.
Once you spot categories you want to explore (for example, “Product features,” “Customer support,” “ROI”), you can dig deeper:
Generate 10 questions for categories product features and ROI.
Iterate as you go, and always add the tweaks that matter for your research goals.
What is a conversational survey?
A conversational survey feels personal and interactive, much like a smart chat with a real person. Instead of a long, intimidating form, respondents get questions one at a time, with follow-ups that react to what they say—keeping them engaged, responsive, and honest.
Here’s how AI survey generation compares to traditional survey design:
Manual surveys | AI-generated surveys |
|---|---|
Rigid, pre-defined script | Adapts to user responses in real time |
Time-consuming to build and edit | Created in minutes—with contextual logic |
Hard to clarify or probe for more detail | Intelligent follow-ups uncover deeper insights |
Difficult to analyze unstructured feedback | Built-in AI analysis for rich, fast summaries |
Why use AI for user surveys? Conversational AI surveys lower friction and boost response rates by making the experience friendly and adaptive. For survey creators, they take care of follow-up probing automatically and make it easy to analyze free-text responses with built-in AI. If you want to learn how to create a great user survey about perceived value, check our detailed guide.
Specific stands out for its user-centric conversational flow, dynamic follow-ups, and seamless AI-powered summarization—helping you gather rich, actionable feedback while keeping things smooth and enjoyable for everyone. This is a leap beyond traditional survey forms, setting a new standard in feedback collection.
See this perceived value survey example now
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