Best questions for customer survey about pricing perception

Here are some of the best questions for a customer survey about pricing perception, plus tips to generate them that actually get responses. If you want to build a survey that gets deeper answers fast, Specific can help you generate one instantly and handle all the conversational heavy-lifting for you.

The best open-ended questions for customer survey about pricing perception

Open-ended questions help us go beyond “yes/no” or “cheap/expensive” and discover the real stories behind customers’ price perceptions. They’re essential when we want honest, nuanced feedback or context on decisions. This qualitative depth is what drives actionable insight and helps avoid blind spots.

1. How would you describe the value you receive compared to the price you pay for our product or service?

2. What factors most influence your perception of our pricing?

3. Was there anything about our pricing that surprised or confused you?

4. Can you share an experience where our pricing influenced your decision to purchase (or not purchase)?

5. If you could change anything about our pricing, what would it be and why?

6. What, if any, alternative options did you consider, and how did our pricing compare?

7. How does our pricing make you feel about the brand overall?

8. Describe a situation when you felt our offering was a good or poor value. What made you feel that way?

9. What features or benefits would make our pricing seem more reasonable to you?

10. Is there anything you wish you could discuss with us about pricing but haven’t had the chance?

Open-ended responses often highlight unexpected details, patterns, or even reveal segment-specific needs. Notably, surveys with a time-to-complete under five minutes see a 20% higher completion rate, so focusing on concise, relevant open questions maintains both quality and response rates [1].

The best single-select multiple-choice questions for customer survey about pricing perception

Single-select multiple-choice questions shine when we want to quantify sentiment, uncover distribution, or break the ice. They’re especially useful when customers might be short on time or hesitant—choosing from clear options is easier than coming up with a text answer from scratch. Plus, starting with a fixed choice makes it easier to interpret at scale, and we can always ask follow-ups for color.

Question: How would you rate our pricing compared to similar products/services?

• Much higher

• Somewhat higher

• About the same

• Somewhat lower

• Much lower

Question: Which word best describes your perception of our prices?

• Fair

• Expensive

• Inexpensive

• Confusing

• Other

Question: How likely are you to continue purchasing from us at the current pricing?

• Very likely

• Somewhat likely

• Not sure

• Somewhat unlikely

• Very unlikely

When to follow up with “why?” We ask a follow-up "why" when a response is unclear, surprising, or could mean different things to different customers. For example, if someone selects "Confusing", we follow right up with “Could you share what about our pricing was confusing for you?” This leads to richer, actionable feedback and shows customers their opinions matter.

When and why to add the “Other” choice? “Other” is vital when your predefined options might miss the mark. It gives the customer permission to surface unique perspectives, and a simple follow-up lets you capture unexpected insights—sometimes the best discoveries come from what you didn’t anticipate.

NPS question for customer perception of pricing

The classic Net Promoter Score (NPS) question adapts well to pricing perception. NPS asks: “How likely are you to recommend [our product/service] to a friend or colleague?” For pricing, we might tailor: “How likely are you to recommend us, specifically considering our pricing?”

It works because it’s simple, quantifiable, and benchmarked across industries. Variations of this are powerful in understanding whether pricing is a driver or detractor for overall advocacy—especially when paired with a follow-up prompt to understand the score (“What influenced your score the most?”). If you want to see how to set up a pricing-focused NPS survey, here’s a preset you can use.

The power of follow-up questions

Automated, context-aware follow-up questions are the backbone of conversational surveys. Instead of stopping at the first answer, Specific’s AI can probe for clarity, dig deeper, and adapt—just like an expert interviewer. If you haven't experienced it, check our overview of AI-powered follow-up questions.

This is more than a nice-to-have. Without smart follow-ups, we risk collecting flat answers such as:

• Customer: "A bit expensive."

• AI follow-up: "Could you share which features or aspects made you feel our pricing is a bit expensive?"

In this way, we move from a vague reaction to actionable insight with almost no extra effort on the customer’s part.

How many followups to ask? In our experience, 2–3 contextual follow-ups reveal almost everything needed, while avoiding fatigue. With Specific, you can even set the logic to jump forward once you’ve collected what you need, so respondents never feel grilled.

This makes it a conversational survey: the experience is fluid and engaging—customers don’t just fill a form, they enter a dialogue that adapts to their responses.

Effortless analysis, even for open text responses. Thanks to AI chat analysis (see how it works here), you won’t drown in open-ended data. The platform brings themes and summaries to the surface, letting you analyze at scale in minutes.

Conversational AI follow-ups are a new paradigm—try creating a survey yourself and feel the difference.

How to write a prompt for ChatGPT (or any GPT) to generate customer survey questions about pricing perception

Anyone with access to AI can generate question ideas quickly. Start simple:

Ask this:

Suggest 10 open-ended questions for Customer survey about Pricing Perception.

But you’ll get better results by adding context. For example:

Imagine I am a SaaS business with diverse customer types (new, returning, churned). I want to understand how perceptions of my pricing and value change over the customer journey. Suggest 10 open-ended questions for Customer survey about Pricing Perception that help me find actionable ways to serve them better.

Go further by asking AI to categorize the questions:

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

Once you see categories you care about, dig deeper:

Generate 10 questions for categories "Value for money", "Competitor comparison", and "Discount perception".

What is a conversational survey?

Conversational surveys are interactive—participants answer in a natural chat format, and AI drives real-time probing that surfaces depth and nuance. This dynamic approach transforms bland forms into engaging interviews that actually get completed. For survey creators, this means higher data quality, improved response rates, and richer context.

Let’s stack up manual vs. AI-generated surveys:

Why use AI for customer surveys? With AI survey generators, you not only build surveys fast but make the experience natural and adaptive for everyone involved. Higher engagement means higher response rates: for instance, in-app or web pop-up surveys—a core use case for conversational surveys—typically achieve response rates between 20% and 30%, far outperforming most email forms [1].

Specific offers one of the best end-to-end conversational survey experiences—easy build, smart in-the-moment probing, and frictionless analysis. Both creators and respondents benefit, and if you want tips on setting up your own, check our full guide on creating a customer pricing perception survey.

See this pricing perception survey example now

Unlock sharper insights with a survey that feels human to complete and easy to analyze—see how conversational AI makes it happen. Create your own survey, capture nuance, and watch your customer understanding level up (without the manual grind).