This article will guide you on how to create a user survey about perceived value, step by step. With Specific, you can build your survey in seconds using our AI-driven platform — let’s get started.
Steps to create a survey for users about perceived value
If you want to save time, just click this link to generate a survey with Specific.
Tell what survey you want.
Done.
You really don’t even have to read more — the AI will create your survey using expert knowledge in seconds. It automatically asks respondents smart follow-up questions to get the rich insights you’re after, with almost no effort from you. For users wanting more control or variety, there’s also our flexible survey builder for customizing any type of user feedback survey you need.
Why user surveys on perceived value matter
If you’re not running user surveys on perceived value, you’re leaving critical insights on the table. These surveys help you directly understand what users actually value about your product — versus guessing or relying on anecdotal evidence. When you know how users perceive your value proposition, you’re setting yourself up to improve retention, inform product decisions, and boost satisfaction.
Benchmarking perceived value over time shows whether your changes are resonating or missing the mark.
You’ll catch signals early — before they become issues.
Here’s why it counts: **Shortening the questionnaire has been found to be effective in increasing the response rate**—and that’s exactly what conversational surveys do best. Simple, focused surveys mean more responses and better data [1].
If you don’t actively collect user feedback, you risk:
Missing unmet needs and potential innovations
Prioritizing the wrong features or fixes
Suffering silent churn from frustrated but unasked users
The importance of a user recognition survey or a perceived value survey simply can’t be overstated. With semantic user feedback and smart analysis, every response becomes a building block for better decisions.
What makes a good survey on perceived value?
There’s more to a great survey than just a few random questions. The best surveys use clear, unbiased questions and a conversational tone that encourages honest, thoughtful feedback. You want straightforward questions that don’t lead or confuse respondents, and language that feels welcoming and natural.
A simple way to evaluate if your survey is “good”: look at the quantity and quality of responses you get. High numbers with shallow answers? Not enough. Small group but deeply insightful comments? Also not ideal. You want both.
Bad practices | Good practices |
|---|---|
Confusing jargon or bias in question wording | Clear, neutral language |
One-size-fits-all survey (ignoring context) | Personalized, context-aware questions |
No follow-ups (shallow data) | Conversational follow-ups for depth |
Overly long or complicated questionnaires | Short, focused, logical flow |
Trust us: the conversational approach makes it much easier for users to give rich, honest input — a win for everyone.
Question types and examples for a user survey about perceived value
Smart surveys on perceived value use a mix of question types — each serving a purpose.
Open-ended questions let users share freely, uncovering their own words and perspectives. These questions are gold when you want to explore motivations, objections, or ideas you hadn’t considered. Great when launching a new feature or diagnosing user churn. For example:
What’s the biggest reason you continue to use our product?
Is there something you wish our product did better?
Single-select multiple-choice questions are best when you need to quantify opinions or track results over time. They make analysis faster and are great for comparing user segments, like:
How would you rate the value you get from our product?
Much higher than expected
Above average
As expected
Below expectations
NPS (Net Promoter Score) question is perfect when you want a standardized benchmark and follow-up context. Want to save even more time? Use this link to generate a NPS survey for users about perceived value. Example:
How likely are you to recommend our product to a friend or colleague? (0-10)
Followup questions to uncover "the why" are critical for digging deeper into initial responses, uncovering the story behind a user’s score or comment. If someone picks “As expected,” you want to ask why — is that good enough, or do they need more? For example:
What made you give that score?
What could we do to increase the value you get from our product?
If you want more inspiration or specific curated examples, visit best questions for user survey about perceived value for a deep dive and extra tips on crafting questions that work.
What is a conversational survey?
Conversational surveys are a huge upgrade from old-school forms. Instead of dumping a bunch of questions in a grid, we let users answer in a natural, chat-like flow. With AI-powered survey creation, you don’t write each question manually — you describe your needs and the AI creates a smart, flowing conversation packed with follow-ups and context awareness.
Manual surveys | AI-generated surveys |
|---|---|
Build question-by-question | Describe intent, AI builds full survey |
Static form, no adaptation | Dynamic, context-aware, follows up for clarity |
Long, time-consuming creation | Seconds to launch, expert-level design |
Respondents often drop off | Conversational, keeps users engaged |
Why use AI for user surveys? Traditional forms make “survey fatigue” all too real, especially for users. AI survey generators like Specific create focused, engaging surveys that adapt to the respondent’s input—delivering a much higher completion rate (and quality responses). See the full guide to creating and analyzing a conversational survey for users about perceived value for a practical walkthrough.
If you care about seamless UX and making surveys feel like a natural part of the user journey, Specific’s conversational surveys are best-in-class. They’re more than just a form—they’re a feedback conversation between you and your users.
The power of follow-up questions
If you want actionable insight, you need follow-up questions — full stop. That’s why Specific’s automated AI follow-up feature changes the game. After an initial answer, our AI asks smart, relevant follow-ups based on what your user just said. This means deeper context, more useful data, and fewer follow-up emails clogging your day. Here’s how it goes if you don’t follow up:
User: “It’s okay, I guess.”
AI follow-up: “Can you tell me a bit more about what feels just ‘okay’ or how we could improve your experience?”
How many followups to ask? Generally, 2–3 follow-ups are enough to uncover the “why” without bogging users down. And if you get the clarity you need earlier, you can program the survey to skip to the next question. Specific gives you precision control here.
This makes it a conversational survey: You’re not stuck with one-and-done answers — you’re building a dialogue, helping the respondent clarify and expand their thoughts in real time.
AI survey response analysis is incredibly streamlined with Specific (see how to analyze user survey responses using AI). Even with lots of open-ended responses, all your data comes together and is easy to understand thanks to our AI-powered summaries and search.
Automated follow-ups are a new way to get more — try generating a survey and see the experience that turns bland feedback into actionable insights.
See this perceived value survey example now
Ready to see deep insights in action? Generate a conversational user survey about perceived value—enjoy effortless setup, expert-level questions, and smart follow-ups that reveal true user sentiment. Create your own survey now.