Survey example: Prospect survey about pricing sensitivity

This is an example of an AI survey about pricing sensitivity for prospects—see and try the conversational survey example now.

Building Prospect Pricing Sensitivity surveys that deliver real insight is a challenge: getting good response rates, asking the right questions, and capturing useful, honest context isn’t easy.

Specific offers all the tools here—each one crafted for real conversations, effective follow-ups, and effortless analysis—so you can focus on insight, not logistics.

What is a conversational survey and why AI makes it better for prospects

Traditional Prospect Pricing Sensitivity surveys often fall flat—they ask rigid, generic questions and don’t adapt to what a respondent actually means. Every product manager or marketer has faced this: you send a survey, and the results feel surface-level at best. That’s where an AI survey example changes the game for prospects.

With a conversational AI survey, we leverage natural, chat-like interviews instead of clumsy forms. It feels personal, relevant, and more engaging—especially for prospects who are evaluating your pricing or comparing you to competitors. AI actually listens, responds, and probes for details that matter, just like a sharp researcher.

Manual survey creation is tedious—writing, editing, branching, testing—while AI-driven survey generators handle all of this in seconds. Instead of starting with a blank form, just describe what you need, and the survey structure is built for you, complete with follow-ups and logic. The mental offload is huge, especially for longer surveys. And because AI draws from best practices and real data, you don’t need to guess if your questions are effective.

Why use AI for Prospect surveys?

• AI survey generators save you hours by creating effective, expert-level questions from a prompt.

• They increase relevance and clarity, reducing confusion for time-pressed prospects.

• AI-powered surveys like Specific offer the absolute best respondent experience—chatty, mobile-friendly, and fully adaptive—boosting response rates and response quality.

We’ve seen the difference firsthand: when price sensitivity and value perception are at stake, quality and context matter. For example, a study by the Boston Consulting Group found that while 70% of German consumers saw themselves as value conscious, only 3.5% actually picked the lowest-priced option for their last purchase. Context and nuance are everything when it comes to pricing decisions [1].

If you want to dig deeper into how to craft the best questions for a prospect pricing sensitivity survey, see our practical guide here.

Specific leads in conversational survey design for both ease-of-use and quality of data—delivering a frictionless feedback loop, whether you’re running a quick test or a full-scale program.

Automatic follow-up questions based on previous reply

Let’s be honest, most survey tools stop at the first answer—if a respondent isn’t clear, you’re left guessing. With Specific, real-time AI follow-ups ask the right “why,” “how,” or “what do you mean?” questions, just like a professional interviewer. This adaptive probing quickly uncovers true pricing pain points, barriers, and motivations—increasing the value of every response.

This means:

• No more manual follow-up emails or clarification requests—AI digs in on the spot.

• Every vague or partial answer gets context, so you don’t lose insight.

• The conversation feels natural, keeping prospects engaged to completion.

Here’s what happens when you don’t ask smart follow-ups versus when you do:

• Prospect: “It’s a bit expensive.”

• AI follow-up: “Can you tell me what features or outcomes would make the price feel fair, or what would be a reasonable price range for you?”

• Prospect: “I’d wait for a discount.”

• AI follow-up: “What discount percentage would make you comfortable with the value? Or are there specific situations where you buy at full price?”

For more about these automated, AI-powered follow-ups, see how follow-up questions work in Specific.

These follow-ups turn what would be a cold, one-off reply into a real conversation with your prospect. Explore the survey and see what it’s like in practice—you may never want to go back to static forms. Followups make this a genuine conversational survey.

Easy editing, like magic

Sick of complicated editors or having to re-learn branching logic for every pricing survey? Just tell Specific’s AI survey editor what you want—add a question, change the tone, split a question, adjust the flow—and it takes care of the rest with expert-level tweaks. All you do is chat. The AI instantly updates the survey content and logic, so you’re always ready to iterate and test new ideas in seconds.

If you want to try the survey with a different product, price range, or buyer segment, just ask. For more on editing with AI, see this guide on the AI survey editor.

Survey delivery methods that fit prospects and pricing sensitivity

Your survey has to meet prospects where they are—whether you’re sharing by email, linking from a landing page, or embedding directly in your app. With Specific, you get both:

• Sharable landing page surveys: Send a unique link to your pricing sensitivity survey for email campaigns, LinkedIn outreach, or your website. Ideal for pre-launch offers, pricing research panels, or competitive analysis.

• In-product surveys: Integrate the conversational AI survey in your SaaS or app for instant, contextual feedback from real prospects exactly as they discover your offer or check your pricing page. Perfect for exit-intent or onboarding flows where price objections surface.

Pick the approach that fits how your prospects interact with your brand, or use both for a full-funnel pricing sensitivity analysis.

AI survey analysis: instant insights, no spreadsheets

Once you collect responses, the magic continues—Specific’s AI-powered survey analysis automatically summarizes replies, finds recurring themes, and highlights key pricing signals in seconds. There’s no copy-pasting into spreadsheets or reading through dozens of open-ends. Tools like automatic topic detection and the ability to chat directly with AI about survey responses make this effortless.

If you want to learn exactly how to analyze Prospect Pricing Sensitivity survey responses with AI, we break down the process in detail here. Let the algorithms do the heavy lifting—focus your energy on what the numbers and words really mean.

See this Pricing Sensitivity survey example now

Experience a real AI-powered pricing survey—get nuanced, actionable insights from prospects fast and see why conversational AI is the new standard for pricing sensitivity research.