Best questions for prospect survey about pricing sensitivity

Here are some of the best questions for a Prospect survey about pricing sensitivity, plus real tips for creating a great one. If you want, you can instantly generate your own survey with Specific—it only takes seconds and gets you real answers fast.

Top open-ended questions for a prospect survey about pricing sensitivity

Open-ended questions spark genuine, story-rich responses—perfect for understanding deeper motivations behind pricing decisions. We love these when we want nuance, real examples, or candid feedback, and especially when exploring a complex topic like price sensitivity. According to research, not everyone reacts to prices the way we might guess—while 70% of German consumers called themselves value conscious, only 3.5% actually chose the lowest-priced product in their last purchase. This shows why it’s important to go beyond checkboxes and dig into real opinions. [1]

1. What factors influence your decision when considering the price of a product or service like ours?

2. Can you describe a time you felt a product was priced too high or too low? What did you do?

3. How do you usually determine if something offers good value for its price?

4. What price range do you think is reasonable for a product/service like this, and why?

5. When comparing alternatives, what makes you willing to pay more (or less) for one over another?

6. How do discounts, bundles, or special offers change your interest in buying?

7. What concerns, if any, do you have when it comes to price increases?

8. What additional features or guarantees would justify a higher price for you?

9. How important is price compared to other factors (like brand, quality, or support) in your decision?

10. Can you share what would keep you from buying, even if you wanted the product?

Best single-select multiple-choice questions for pricing sensitivity

Single-select multiple-choice questions make quantifying feedback simple—they help spot trends, segment by attitude, and kickstart deeper conversation. We lean on them early in the survey to get a sense of where respondents stand, or whenever you want quick clarity that opens the door for follow-ups. For some, it's just easier to click a button than to type a paragraph, and you can always dig deeper with well-timed follow-up questions if you want more detail.

Question: How would you describe your price sensitivity when evaluating solutions like ours?

• I mostly choose the lowest-priced option

• I balance price with features and value

• Price plays a minor role in my decision

• Other

Question: What is the main reason you might not buy a product due to its price?

• It's outside my budget

• I don’t see enough value for the cost

• I prefer to wait for discounts

• Other

Question: When do you consider a product to be "too expensive"?

• When it’s higher than competitor prices

• When it’s over a specific amount in my mind

• When it lacks essential features

• Other

When to follow up with "why"? We suggest adding a "why" follow-up when you want to understand motivations behind a choice or get practical examples (e.g. ask "Why did you choose ‘I prefer to wait for discounts’?" to uncover true purchasing triggers). This can reveal the real story—the hidden deal-breakers, objections, or needs—often missed by fixed answers.

When and why to add the "Other" choice? Use "Other" when you want to surface responses you didn’t think of. Asking a follow-up lets you catch surprises in your market, like totally new objections or priorities. It’s a practical way to avoid boxed-in data and lets you find gems that could shape your pricing strategy.

Should you include an NPS question for pricing sensitivity?

Net Promoter Score (NPS) is a classic loyalty metric, asking how likely someone is to recommend your product to others—usually on a 0-10 scale. For a prospect survey about pricing sensitivity, an NPS-style question helps gauge whether your current pricing is an obstacle (or a strength) in driving recommendations. If people love your product but are skeptical about the price, it will show in their NPS response—and the follow-up “why” will reveal specifics.

It’s easy to instantly build an NPS survey for pricing sensitivity in Specific. Combined with open-ended clarification, you get not just a score, but actionable quotes you can use immediately.

The power of follow-up questions

We see a huge uplift in insight when using automatic follow-up questions, which is why Specific includes AI-powered follow-ups by default. Follow-ups take each respondent’s unique answer and probe deeper, fill in context, or clear up fuzzy logic on the spot. This gives you the “why” and “how” that static forms miss—which is essential for understanding price sensitivity, since people’s motivations can be subtle and personal. In fact, AI-powered survey tools with predictive analytics and real-time feedback loops help businesses act faster on responses, instead of getting lost in a mountain of unchecked forms. [7]

• Prospect: "I think your price is a bit high."

• AI follow-up: "Could you share what makes you feel that way? Is it specific competitors, features, or something else?"

How many followups to ask? Generally, 2–3 follow-ups strike the right balance—enough for depth, not so many that it becomes tiring. With Specific, you can set this follow-up “depth,” and enable a setting to skip forward if you already have the detail you need.

This makes it a conversational survey: When you add followups, your survey feels like a real conversation, not an interrogation—a reason why completion rates and quality soar compared to one-way forms.

AI response analysis: Even if you gather tons of open-ended or followup answers, you can analyze everything instantly with AI. No more endless manual coding—just powerful, theme-rich summaries at a glance, with source quotes if you need them.

Automated followups are a new era—try generating a pricing sensitivity survey with automatic follow-ups and see how much richer your feedback becomes.

How to write prompts for ChatGPT to generate great prospect survey questions

If you want to create a set of strong, relevant questions with ChatGPT or other AI survey generators, here’s a strategy that works consistently well:

Start broad with a clear instruction:

Suggest 10 open-ended questions for Prospect survey about Pricing Sensitivity.

Give the AI extra context for better results—for example, explain who your prospects are and your objective (such as, “We’re interviewing B2B software buyers considering our SaaS platform, and want to understand what affects their willingness to pay”). That might look like:

Our product is a project management SaaS for small businesses. Suggest 10 open-ended questions for a prospect survey about pricing sensitivity—we want practical questions that uncover obstacles and what would convert interest into purchase.

Next, refine the results with grouping:

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

Then zoom in for depth—pick priority categories and ask for more:

Generate 10 questions for categories "Value perception" and "Budget constraints".

This approach works in any AI survey builder, and it's at the heart of how Specific’s AI survey generator produces expert-level surveys in seconds.

What is a conversational survey, and why is AI a game-changer?

Conversational surveys are designed to feel like a dialogue—not just a set of boxes to tick—making respondents more likely to open up. The magic is in the AI’s ability to ask context-aware follow-ups, clarify answers, and adapt on-the-fly to what each user shares. This format is proven to yield more honest, thoughtful feedback compared to traditional surveys, which can feel rigid or impersonal.

Why is this a win for teams? AI survey creators like Specific or involve.me can craft personalized surveys from a simple prompt, slashing creation time and offering dynamic follow-ups that traditional forms can't do. [5] Plus, AI-powered tools include predictive analytics and automated summaries—critical for making sense of large volumes of qualitative feedback on topics like pricing. [7]

Why use AI for prospect surveys? You get better quality data, less hassle, and insights that feel like you ran dozens of in-depth interviews—without the cost or calendar pain. With our guide to creating a prospect pricing sensitivity survey, you can see just how smooth and effective this process can be. “AI survey example,” “best AI survey generator,” and “conversational survey” aren’t just buzzwords—they represent a fundamentally superior way of getting to the heart of what drives purchase decisions.

Specific delivers a best-in-class experience for both the creator and respondents, ensuring the feedback process feels seamless—even enjoyable—at every touchpoint.

See this pricing sensitivity survey example now

Experience a new level of clarity on how prospects think about price—start your survey journey and uncover insights you and your team can actually use, thanks to effortless conversational AI.