Best questions for user survey about pricing perception

Here are some of the best questions for a user survey about pricing perception, plus tips for crafting questions that actually drive insights. If you want to build a survey like this in seconds, you can use Specific to generate your own conversational survey right now.

Best open-ended questions for user survey about pricing perception

When you want to dive deep into what people really think, open-ended questions are your best friend. They let users express themselves in their own words—sometimes surfacing unexpected pain points or motivations. Of course, they also take more effort to analyze and sometimes suffer from higher nonresponse rates (as much as 18% or even 50% for some questions)[1]. But when you want richer insights, they’re irreplaceable.

1. What was your first reaction to our pricing when you discovered it?

2. Can you share an experience when our pricing influenced your decision to purchase or not?

3. How do you usually decide if a product or service is “worth the price”?

4. What aspects of our pricing do you find fair or unfair?

5. What do you think is missing from our offering at the current price?

6. Can you describe a time when you hesitated to buy because of our price?

7. How do you compare our pricing to competing products or services?

8. What would make you feel more confident or comfortable with our pricing?

9. If price was not a limitation, how would you use our product differently?

10. Is there anything about our pricing you wish was explained differently?

Open-ended questions like these often reveal the “why” behind choices, so you can fine-tune pricing strategies based on what real users care about. If you want to see how Specific makes analyzing open-text answers easier with AI, check out our guide on analyzing responses from user surveys about pricing perception.

Best single-select multiple-choice questions for user survey about pricing perception

If your goal is to quantify results or lower the barrier for people to respond, single-select multiple-choice questions shine. They’re quick to answer, less mentally taxing, and are great for getting structured, benchmarkable data. In fact, multiple-choice formats generally have lower nonresponse rates (just 1-2%) which means you’ll lose fewer respondents before the finish line[1]. Plus, it’s far easier to crunch the numbers and spot trends[2].

Question: How would you rate the value for money our product provides?

• Excellent

• Good

• Average

• Poor

Question: Which of these best describes your biggest concern about our pricing?

• Too expensive for what it offers

• Hard to compare to alternatives

• Lack of flexible plans

• Other

Question: How likely are you to recommend our product based on the current price?

• Very likely

• Somewhat likely

• Neutral

• Unlikely

• Very unlikely

When to follow up with "why?" When someone picks an option, and you want to understand the reasoning behind their choice—it’s time for a followup. For example, if a user selects “Hard to compare to alternatives”, following up with “Can you tell us what makes our pricing hard to compare?” quickly gets to details that matter.

When and why to add the "Other" choice? “Other” is your secret weapon when you want to avoid boxing people in. Maybe your choices miss a surprise reason—by letting users explain, you uncover fresh insights and avoid survey bias. Always follow-up if “Other” is chosen: ask “Please describe what you had in mind.”

NPS survey questions for user pricing perception feedback

Net Promoter Score, or NPS, is a widely used gauge of loyalty and satisfaction. It asks users how likely they are to recommend your product—on a 0-10 scale—and then lets you segment feedback by passion level. In pricing studies, NPS can spotlight how your pricing impacts willingness to spread the word. Since the average NPS across all industries is 32, with high performers reaching 72 or more[3], embracing this benchmark helps anchor your efforts. Plus, every 7-point NPS increase has been tied to a 1% growth in revenue[4], making it a seriously strategic metric.

What’s even better: promoters are 4.2x more likely to buy again, 5.6x more likely to forgive, and 7x more likely to try new offerings compared to detractors[4]. Your pricing perception shapes all of this. Want a ready-made NPS survey for pricing perception? Build one instantly with Specific’s NPS survey builder.

The power of follow-up questions

Single-response surveys only scratch the surface. The magic is in follow-up questions—where you dig deeper and actually converse with your user, unlocking richer meaning and context. Automated AI follow-ups (like those baked into Specific’s dynamic probing) let you clarify vague responses, ask “why,” or surface hidden blockers, right as the conversation is happening.

• User: “It felt expensive.”

• AI follow-up: “Which aspects of our offering seem too expensive?”

• User: “Not sure if it’s worth it.”

• AI follow-up: “Is there something specific missing that would make the price feel right?”

How many followups to ask? Two or three targeted follow-ups are typically plenty—a good rule is to stop probing once your user’s point is crystal clear. Specific lets you set this up easily; respondents can skip ahead if they’ve already answered your core needs.

This makes it a conversational survey: Your user feels heard, the feedback feels like a real chat, and you avoid ambiguity that often sinks classic forms.

AI-driven analysis is easy: All this extra context could be overwhelming, but with AI survey response analysis, such as Specific’s analysis tools, you can instantly summarize, cluster, and query your unstructured data as if you had an expert analyst on speed dial.

Followup-powered conversational surveys are a new approach—if you haven’t tried it yet, generate a survey with AI and see the difference yourself.

How to write AI prompts for pricing perception surveys

AI tools like GPT are surprisingly effective at suggesting strong survey questions. You’ll get the best results by giving as much context as possible: your goals, the nature of your users, even your concerns. Let’s start from the basics.

To get started, try:

Suggest 10 open-ended questions for user survey about pricing perception.

But you’ll get much better suggestions if you explain your context:

We run a SaaS product for startups and want to understand how our users perceive our current tiered pricing compared to competitors. Suggest 10 open-ended questions for a user survey about pricing perception. Focus on uncovering hesitations and value drivers.

Once you have a question set, organize them by theme to see gaps:

Look at the questions and categorize them. Output categories with the questions under them.

From there, double down on what matters. If you want more on, say, “compared to alternatives”, try:

Generate 10 questions for the category: Comparison to alternatives.

What is a conversational survey?

A conversational survey rethinks the boring old form. Instead of a rigid list of questions, it feels like a natural chat between an expert and your user. Follow-ups adapt in real time, exploring responses, clarifying intent, digging up motivations lost in traditional surveys. The result? Higher response rates, richer context, and a much friendlier experience—on both sides of the feedback loop.

Why use AI for user surveys? Getting survey design just right is tricky and slow. An AI survey generator lets you spin up a contextual, tailored survey with far less effort, tapping into expert logic so you ask the right questions every time. You save mental energy and get a better survey, fast.

If you’re curious, we’ve written a complete guide on how to create a survey for user pricing perception—or just try building your own in a few clicks. With Specific, you get best-in-class conversational UX for both user and creator, making feedback smooth, conversational, and actually enjoyable.

See this pricing perception survey example now

See how these questions and follow-ups work in practice—generate your survey and start capturing user-driven pricing insights immediately. Elevate your research with personalized, chat-based surveys that give you clarity where it matters most.