Here are some of the best questions for an inactive users survey about pricing concerns, plus a few tips for crafting them. You can generate your own survey in seconds with Specific.
The best open-ended questions for pricing concerns surveys
Open-ended questions are fantastic when we want to understand the “why” behind user behavior, especially with inactive users who might have nuanced pricing concerns. They let people tell us what’s on their mind—often highlighting issues we didn’t even anticipate.
What factors influenced your decision to stop using our product or service?
How do you feel about the value you received for the price you paid?
Were there specific price points or changes that affected your decision to become inactive?
Can you describe a situation where our pricing didn’t meet your expectations?
If you could change one thing about our pricing, what would it be?
What pricing plans or options would have kept you as an active user?
How does our pricing compare to alternatives you considered?
Were there features or benefits you felt were missing at your price point?
Can you share how you typically budget for similar products or services?
Is there anything else you’d like us to know about your experience with our pricing?
Open-ended responses surface deeper issues, but can also introduce nonresponse bias if not everyone completes them. Studies remind us that nonresponse rates account for over 30% of survey error, so it’s smart to pair these questions with reminders or make the survey conversational to keep engagement up. [2]
Best single-select multiple-choice questions for pricing concerns
Single-select multiple-choice questions work well when we need to put numbers to problems or make it easy for inactive users to answer. If you want a quick pulse or want to ease users into the survey, they’re ideal—plus, having quick wins here can spark richer open-ended follow-ups.
Question: What was the main reason you stopped using our product?
Too expensive
Lack of value for price
Found a better alternative
Other
Question: Which pricing model do you prefer for this type of product?
Monthly subscription
Annual subscription
One-time payment
Usage-based billing
Question: How likely are you to return if pricing were adjusted?
Very likely
Somewhat likely
Not likely
Unsure
When to follow up with "why?" We always get the richest insights when we follow up choices with “why?”. For example, “You selected ‘Too expensive’—can you share more about what felt too expensive or what would have felt fairer to you?” helps us pinpoint the friction.
When and why to add the "Other" choice? Always add “Other” if you fear missing an important perspective. “Other” responses paired with a follow-up (“Please specify”) can surface new concerns, competitor names, or unexpected context you hadn’t considered. These can lead to surprising improvements in your pricing strategy.
NPS makes sense for pricing concern surveys
Net Promoter Score (NPS) asks, “How likely are you to recommend our product to a friend or colleague?” and is a powerful signal—even among inactive users. If respondents cite pricing as the reason for a low score, it’s a direct pointer to pricing pain. Embedding an NPS question in your inactive user survey helps segment promoters, passives, and detractors based on their view of your pricing, so you can focus on what matters most.
The power of follow-up questions
Follow-up questions can transform a flat survey into a conversation. Let’s say someone selects “Too expensive”—if we just capture that, we miss the “why”, the edge case, or the feature that tipped the scale. Automated AI follow-up questions, like those in Specific’s conversational surveys, dig deeper while staying context-aware, gathering richer insight in real time.
Inactive user: “I left because of pricing.”
AI follow-up: “Could you tell me if it was the monthly cost, lack of a usage-based plan, or something else that made the pricing feel off?”
This approach ensures we get beyond generic statements. Follow-ups don’t just clarify, they reduce the chance that vague or incomplete answers introduce bias. And they save a ton of time—no need for lengthy email threads to chase details.
How many follow-ups to ask? In most use cases, 2-3 targeted follow-ups are plenty. Specific lets us set the maximum number and skip to the next question as soon as we have the clarity we need, keeping the survey snappy but thorough.
This makes it a conversational survey: These dynamic interactions turn surveys from forms into true conversations, which inactive users find more engaging than static lists of questions.
Easier analysis with AI: Tools like Specific’s AI response analysis cut through the noise. All these open-ended responses and follow-ups? The AI summarizes, categorizes, and lets you query them, so even complex, unstructured feedback is actionable.
This is genuinely new territory—try generating a survey for inactive users and pricing concerns to see how much more you learn when you let AI handle the back-and-forth.
How to prompt ChatGPT for great pricing concerns questions
Prompt engineering can take your survey game up a notch. Start basic and add context for sharper results. For instance, try:
Ask GPT to propose 10 open-ended questions:
Suggest 10 open-ended questions for inactive users survey about pricing concerns.
But you’ll get better results if you set the scene with product and user context. For example:
I’m building a survey for inactive users of our SaaS product. Many left in the last six months, and initial feedback points to pricing as a concern. I want to understand what made them leave, how our pricing compares to alternatives, and what changes might win them back. Suggest 10 open-ended questions.
Once you have a set of questions, ask AI to organize them by theme:
Look at the questions and categorize them. Output categories with the questions under them.
Dig into themes that you care most about. Want to go deeper into “alternatives” or “perceived value”? Direct AI to generate:
Generate 10 questions for categories “alternative solutions” and “perceived value.”
What is a conversational survey?
Think of a conversational survey as a virtual one-on-one interview powered by AI, not the dull, endless questionnaire we all dread. Instead of making inactive users slog through a page of boxes, you hold a natural conversation—one that adapts based on their answers, reveals follow-up questions, and respects their time.
Here’s a quick comparison:
Manual Surveys | AI-Generated Conversational Surveys |
|---|---|
Static, rigid question flow | Dynamic, adapts in real-time |
Little opportunity for clarification | Automated follow-up probing questions |
High dropout from survey fatigue | More engaging, higher completion rates |
Manual analysis of long-form answers | AI summarizes and spots trends instantly |
Why use AI for inactive user surveys? Response rates for traditional surveys among tough audiences, like inactive users, can be as low as 15–25% for email. In-app conversational surveys can reach 20–30%—and reminder strategies boost these rates by up to 30%. [1][3] The more engaging the survey, the higher the return. AI-generated conversational surveys are built for flexibility, persistence, and depth, without overburdening your users or your team.
When you want to see an AI survey example or experiment with conversational survey creation, Specific offers the smoothest user experience and the richest insights, whether you’re new to conversational feedback or looking to scale other feedback programs. If you want to learn more about building such surveys, check the how-to guide on creating inactive user pricing concern surveys.
See this pricing concerns survey example now
Try generating your own survey for inactive users about pricing concerns with Specific to experience a conversational approach that drives richer insights and saves you hours—see for yourself how AI can revolutionize your feedback process.