This article will guide you on how to create a customer survey about value for money. With Specific, we can help you build a smart AI survey for this topic in seconds.
Steps to create a survey for customers about value for money
If you want to save time, just generate a survey with Specific, and be done before you even finish this paragraph. Here’s how easy it is:
Tell what survey you want.
Done.
You honestly don’t even need to read further. Our AI crafts a customer value for money survey with expert knowledge instantly, and even generates real-time follow-up questions for deeper insights. If you want to explore custom options or tweak questions, you can do it all through our AI survey builder—no templates or guesswork needed.
Why running a customer survey on value for money matters
Let’s face it: collecting honest and regular customer feedback is the backbone of improving your product and brand reputation. Far too many companies skip this step, relying solely on instincts, and as a result, miss out on opportunities for growth, retention, and innovation.
Did you know companies that make customer feedback a priority are four times more likely to retain customers? [1] That’s not a small edge—it’s a game changer. Ignoring feedback means you’re flying blind while your competitors get better and closer to their customer’s needs. Meanwhile, you’re left guessing why churn creeps up or why revenue plateaus.
When you survey your customers about value for money, you unlock:
Direct insight into what drives perceived value (so you can optimize pricing, features, and messaging).
Early warning signs of issues and shifting expectations before they blow up.
67% of customers cite poor experience as a reason for churn—most of which could have been avoided with timely feedback. [1]Clear signals about how you stack against competitors in terms of value.
Opportunities to delight and upsell happy customers by knowing what matters most to them.
In other words, if you’re not running these, you’re giving your competition a free pass to get ahead. Want more tips about survey impact? Check out our in-depth guide to customer feedback surveys.
What makes a good survey on value for money
You want answers, not survey fatigue. A good customer survey about value for money uses:
Clear, unbiased questions that let your customers share genuine opinions (not just agree with you).
A friendly, conversational tone—so people feel comfortable telling the truth (even if it stings).
Personalized logic and followups, so responses are richer and more actionable.
Bad Practices | Good Practices |
|---|---|
Leading or loaded questions | Neutral, clear wording |
Yes/no only, with no space to explain | Open-ended followups (“What could we have done better?”) |
Long, jargon-heavy phrasing | Short, conversational language |
You can always tell a quality survey by the quantity and quality of responses. Both matter: lots of data plus deep insights from each customer response.
Question types and examples for customer surveys about value for money
Creating an effective survey means choosing the right mix of question types. Here’s what we recommend for customer value for money surveys, and why:
Open-ended questions are your window into a customer’s honest experience. Use these when you want emotional detail, stories, or the reasoning “why” behind the ratings. Two examples:
What’s one thing that makes our product worth its price for you?
Is there any time when you felt you didn’t get good value for money? Please explain.
Single-select multiple-choice questions are great for benchmarking or categorizing responses, especially when you need quantifiable data.
How would you rate the value for money of our product?
Excellent
Good
Fair
Poor
NPS (Net Promoter Score) question is the easiest way to measure overall satisfaction and referral intent. It’s also great for benchmarking over time. You can generate an NPS survey for customers about value for money instantly. Example:
On a scale from 0 to 10, how likely are you to recommend our product to a friend based on its value for money?
Followup questions to uncover "the why" are essential for extracting deeper meaning from brief or ambiguous answers. Use these whenever you get short responses, or when you want to clarify what “value” means for an individual customer. Specific will handle these for you. For example:
Customer: “I think the product is good value.”
AI follow-up: “What makes you feel our product is good value? Was there a specific feature or experience?”
If you want to see a list of the best questions or dive deeper into survey design, check out our guide to value for money survey questions. It’s packed with practical tips and do’s/don’ts.
What is a conversational survey?
A conversational survey is structured like a dynamic chat—not a static form. With conversational AI, respondents feel like they’re talking to a smart assistant, not ticking boxes. This keeps engagement high and responses authentic.
Traditional surveys are rigid and usually have low completion rates. In contrast, AI survey generators adapt in real time, asking smart follow-up questions, clarifying candidate doubts, and probing for details—all like a skilled interviewer. It’s radically different from manual survey building. Here’s a quick side-by-side:
Manual Surveys | AI-generated Surveys |
|---|---|
Static; same for everyone | Dynamic; adapts per answer |
Time-consuming to build | Instant creation via prompt |
Few or no follow-up questions | Real-time, personalized probing |
Manual editing required | Edit questions by simply chatting with AI using the AI survey editor |
Why use AI for customer surveys? AI takes all the heavy lifting out of building, launching, and analyzing high-quality conversational surveys. Instead of struggling with structure or logic, you focus purely on the insights. And with tools like the AI survey generator, you can go from an idea to a polished AI survey example in seconds—no expert skills required.
Specific leads the way in this space, offering best-in-class user experience for conversational surveys. The process feels natural to respondents, while you get richer data with minimal back and forth. Want to know more about building surveys from scratch? Check out our how-to guide for survey creation.
The power of follow-up questions
Follow-up questions are where conversational AI shines. With Specific’s automatic AI follow-up questions feature, our interviews ask smart, relevant follow-ups on the fly—just like an expert human. This is key for getting rich, non-generic insights, and for surfacing context that would otherwise take multiple emails or manual outreach to uncover.
Why is this important? Without follow-ups, you often get vague responses that leave you guessing at what the customer really means. Here’s how it plays out:
Customer: “It’s fine for the price.”
AI follow-up: “Could you share an example where you felt the value didn’t match up, or when it really exceeded your expectations?”
How many followups to ask? Usually, 2-3 followups are enough for each original answer. With Specific, you can configure this automatically, or let respondents skip ahead once you have what you need. This flexibility ensures you don’t annoy but still dig deep.
This makes it a conversational survey: each answer unlocks a relevant, timely prompt, creating a natural back-and-forth instead of a bland checklist.
AI survey response analysis, AI-powered survey analytics: Thanks to Specific, analyzing even large volumes of open-ended, unstructured data is now effortless. Our AI analysis tools help you distill key insights from conversations at scale—no spreadsheet wrangling needed.
These real-time follow-up questions truly set conversation-driven surveys apart. Try generating a survey now and experience the difference firsthand.
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