This article will guide you on how to create an Inactive Users survey about Pricing Concerns. With Specific, you can build such a survey in seconds—just generate and launch a survey that feels conversational and insightful.
Steps to create a survey for Inactive Users about Pricing Concerns
If you want to save time, just click this link to generate a survey with Specific. Here’s how easy it is to create any survey with AI:
Tell what survey you want.
Done.
No need to keep reading if that’s all you need. With Specific’s AI-powered survey generator (see how it works), you get a survey informed by expert knowledge—and it even asks smart follow-up questions to dig deeper and gather rich insights from your respondents.
Why feedback from inactive users about pricing matters
We know from experience and data that customer feedback surveys are powerful. They aren’t just a box to tick—they unlock direct insights into how users feel and why they left. According to industry research, businesses who act on customer feedback report significant improvements in customer loyalty and retention [1]. For you, that means:
Spotting where your pricing missed the mark for previous users.
Learning if users would return with a clearer (or better) value proposition.
Identifying untapped opportunities in your pricing or communication strategy.
If you’re not running these surveys, you’re honestly missing insights that can help shape winning pricing models, lower churn, and reignite interest from lapsed users. The importance of inactive user recognition surveys keeps growing as competition increases—people who tried your product before are a gold mine of actionable advice. By collecting and acting on inactive user pricing feedback, you can spot and fix things before your competitors even know there’s an issue. That’s the edge you want. [2]
What makes a good survey on pricing concerns?
Not all surveys deliver equally meaningful data. To get honest, useful responses from inactive users about pricing concerns, you want:
Clear, unbiased questions. Don’t push users to a specific answer or overload them with jargon.
A conversational, nonjudgmental tone. Make it feel like a helpful chat, not an interrogation.
The quality and quantity of responses are your best indicators of survey success—you want lots of responses, but you also want answers that tell a real story.
Bad practice | Good practice |
|---|---|
Pushing users with leading questions | Open, neutral questions |
Focus on these fundamentals, and you’ll see a marked difference in the depth (and honesty) of the feedback you get.
What are good question types for inactive users about pricing concerns?
Picking the right survey question types is critical to learn both the ‘what’ and the ‘why’ behind user inactivity over price.
Open-ended questions are great for uncovering unique perspectives and surprising insights. Use these when you want detailed context in the user’s own words:
What was your main reason for not continuing with our product after seeing the pricing?
If our pricing had been different, what would have convinced you to stay?
Single-select multiple-choice questions are helpful for quickly categorizing feedback (which speeds up analysis) or when responses fall into predictable buckets:
Which of the following best described your concern with our pricing?
Too expensive for my needs
Didn’t see enough value
Pricing was confusing
Other (please describe)
NPS (Net Promoter Score) question types let you quickly measure overall sentiment and likelihood of return. If you want to see how your pricing affects brand advocacy with inactive users, consider creating a specialized NPS survey for inactive users about pricing concerns:
On a scale of 0-10, how likely are you to recommend our product to others, given your experience with our pricing?
Followup questions to uncover "the why" are essential for drilling into ambiguous or high-level replies. When a user gives a short or unclear answer, prompt them for more detail. For example:
“It was too expensive.”
“Can you share what price you would have felt was fair for your use case?”
If you want to dive even deeper, check out our guide on crafting the best questions for inactive users about pricing concerns—it lays out more examples and explains how to get both useful and actionable answers. This is especially relevant when you want insights that are actually useful for your pricing strategy.
What is a conversational survey?
Conversational surveys are a huge step up from the old, rigid forms. Instead of static, impersonal checkboxes, you get an interactive, chat-like experience. That means users actually engage—resulting in much richer, more honest feedback.
Let’s compare the two:
Manual | AI-generated (with Specific) |
|---|---|
Tedious, form-based | Feels like a conversation |
With AI, the difference is striking. Building a conversational survey with an AI survey generator is genuinely enjoyable. Tell the AI what you want, and it instantly creates an expert-level survey—complete with conversational tone and logic-driven followups. Your users respond as if they’re chatting with a human, not ticking boxes.
Why use AI for inactive users surveys? Simple: you save time, get better data, and enjoy a smoother experience all around. AI survey examples like this aren’t future tech—they’re available now, and the engagement bump is real. Specific delivers a best-in-class conversational survey UX, making feedback easy for both you and your users. If you want to see how to create a survey step by step, check out our guide on survey creation and analysis for inactive user pricing concerns.
The power of follow-up questions
The heart of a great conversational survey is in the follow-ups. As respondents answer, Specific’s AI can ask smart, in-the-moment follow-up questions (learn more about automated followup feature). These aren’t scripted—they’re generated based on the context of a user’s last reply, just like an expert researcher would do. This unlocks way deeper insights and context that you’d miss with a traditional survey.
Here’s how it plays out if you skip followups:
Inactive User: “Too expensive.”
AI follow-up: “Can you share what price or feature set would have convinced you to stay?”
Without the follow-up, all you know is there’s a pricing problem. With it, you learn where—price point, packaging, competitor comparison, or perceived value. That’s actionable.
How many followups to ask? Usually, 2–3 smart followups are enough to flesh out the context without wearing people out. Specific lets you control the intensity and even lets the survey skip to the next question when you’ve captured enough info. That keeps the survey fast and respectful of respondents’ time.
This makes it a conversational survey—it doesn’t just capture “what happened” but uncovers “why it happened,” letting you actually address the core issues driving inactivity.
AI survey analysis, response insights: Even if you gather lots of open-ended, messy answers, it's easy to analyze everything using AI (learn about AI-powered survey analysis). The days of slogging through spreadsheets are over.
Followups are a breakthrough—if you haven’t tried them, generate a survey now and see for yourself what you’re missing. It’ll change how you think about feedback forever.
See this pricing concerns survey example now
Don’t just wonder how your pricing lands—see it through your users’ eyes. Generate a conversational AI survey for inactive users and instantly unlock clear, actionable feedback that you can put to work right away.