Here are some of the best questions for a SaaS customer survey about feature requests, along with practical tips for crafting them. If you need to build a tailored survey fast, you can generate one with Specific in seconds.
The best open-ended questions for SaaS customer survey about feature requests
Open-ended questions are invaluable when you want deeper insights or unfiltered feedback about your product’s feature set. Unlike multiple choice questions, they invite real stories and specific pain points, which can reveal themes you’d never considered. The downside? Open-ends can tire respondents—Pew Research found nonresponse rates of 18% on average, and sometimes over 50% for certain questions, compared to the 1-2% for closed-ended types [1]. Use them sparingly; always ask the most important ones up front. Here are our top picks for SaaS customer surveys focused on feature requests:
What is the one feature you wish our product had?
Can you describe a recent situation where you felt limited by our product?
What do you think is missing from our app that would make your workflow smoother?
If you could change or improve one thing in our platform, what would it be and why?
Tell us about a feature from another tool you use that you wish we offered.
How do you currently work around the lack of any features you need?
What’s your biggest frustration with our feature set as of today?
Is there any part of your workflow you wish was better supported by our software?
Describe a feature that would save you the most time, if we built it.
Do you have any ideas for features that could help you achieve your goals faster with our product?
The best single-select multiple-choice questions for SaaS customer feature request surveys
Single-select multiple-choice questions are perfect when you need quantifiable data or want to nudge the conversation forward with quick, easy responses. These questions lower the friction for respondents—especially good if survey fatigue is a concern. They also open the door to quick follow-ups that dig deeper, yielding more thoughtful responses. If you're after fast benchmarking or want to funnel users into a follow-up chat, use this format.
Question: Which area of our product would you most like to see improved next?
Dashboard & reporting
Integrations
Customization & settings
Data import/export
Question: How important are new features in your decision to continue using our product?
Extremely important
Somewhat important
Not important at all
Question: Which type of new feature would deliver the most value to you?
Collaboration tools
Security enhancements
Integration with other software
Performance improvements
Other
When to follow up with "why?" It’s a good move to use a tailored follow-up (“What makes you say that?” or “Why would that feature be most valuable?”) immediately after a single-select answer. This approach uncovers the motivations and nuances behind a choice that would otherwise stay hidden. For example, if a user selects “Dashboard & reporting,” following up with “Why is dashboard improvement important to your workflow?” helps you understand real priorities and their context.
When and why to add the "Other" choice? “Other” is essential when you can’t possibly guess all user needs. It signals that you’re open to ideas not on your radar, and if paired with an open-ended follow-up (“Please describe the feature you had in mind”), you capture unexpected insights that can be especially valuable in SaaS where user workflows differ widely.
NPS for SaaS customer feature request surveys—does it make sense?
NPS, or Net Promoter Score, is a simple metric, asking: “On a scale of 0–10, how likely are you to recommend our product to a friend or colleague?” For feature requests, NPS provides broader context around customer loyalty and whether existing features (and their evolution) truly drive advocacy. If you combine NPS with targeted follow-up (“What feature would make you more likely to recommend us?”), you uncover both your champions and the specific requests holding back wider adoption. If you’re ready for this approach, you can launch an NPS survey for SaaS customers about feature requests instantly.
The power of follow-up questions
Follow-up questions are the secret sauce behind rich, actionable customer feedback. Automated follow-ups—like those in Specific, explained here—let the survey dig deeper when needed, just as a skilled interviewer would in real time. This is especially powerful in SaaS: follow-up questions can clarify gaps, explore workflow pain, and surface the insights that drive great feature design. Specific’s AI detects when a response is vague or packed with nuance, and asks further questions intelligently. This approach boosts the completeness of feedback while saving the effort of old-school email follow-ups.
SaaS Customer: “I’d like better integrations.”
AI follow-up: “Which integrations would be most useful for your current workflow?”
How many follow-ups to ask? Usually, 2–3 follow-up questions are enough to get comprehensive answers. Too many can feel intrusive, too few can leave responses unclear. Specific lets you set the max number, so you always collect the right amount of detail and move on once you have what you need.
This makes it a conversational survey: Instead of a static form, each question branches naturally. It feels effortless for the customer—and you get context that forms alone can’t provide.
AI survey response analysis, summary, themes: Even with all the extra unstructured text from follow-ups, analyzing responses is easy with AI (see how to analyze survey responses). AI can summarize key topics, pull trends across responses, and surface the insights that matter, all without hours lost in spreadsheets.
Automated follow-ups are a new era for SaaS customer feedback—try generating a conversational survey and see the difference in action.
How to prompt ChatGPT to craft great SaaS feature request survey questions
If you’re using ChatGPT (or a similar GPT-based tool) to help brainstorm or refine your SaaS customer feature request questions, start with a broad, simple prompt:
Suggest 10 open-ended questions for SaaS customer survey about feature requests.
AI always delivers much better results when you give it specific context—explain who your users are, what your app does, and your business goal. Here’s an example:
I run a SaaS project management app used by small tech startups. We’ve had feedback about missing integrations and need to get targeted feedback about feature requests. Please suggest 10 open-ended survey questions that would help us understand user needs, pain points, and how we can deliver more value.
Once you have a draft list of questions, ask AI to sort and organize them for clarity:
Look at the questions and categorize them. Output categories with the questions under them.
Review these categories, and if one stands out (for example, “Workflow Automation”), prompt again for a deeper dive:
Generate 10 questions for categories Workflow Automation and Integrations.
This back-and-forth helps tailor your survey to the exact needs of your SaaS customer base and ensures you don’t miss important themes.
What is a conversational survey?
A conversational survey isn’t just a list of questions. It’s a dynamic exchange where the survey “listens” and responds—just like a conversation with a real researcher.
Traditional/manual surveys make the respondent pick answers or type out explanations with no feedback. In contrast, an AI survey generator like Specific builds surveys that adapt in real time. If a SaaS customer’s answer signals confusion or excitement, follow-ups ask for details, clarification, or examples—making the survey feel like a chat, not a chore.
Manual Surveys | AI-generated Surveys |
|---|---|
Rigid, fixed questions | Adaptive, context-aware questions |
No clarification if answers are unclear | Real-time follow-ups to clarify and dig deep |
Easy to abandon if too long or dull | Feels like a chat—higher engagement and completion |
Hard to analyze qualitative responses | AI distills themes and trends instantly |
Why use AI for SaaS customer surveys? AI makes survey creation and analysis incredibly efficient. It asks the right questions, follows up, and summarizes results without manual effort. Response rates for in-app conversational surveys are higher—up to 30%—while traditional email can dip below 25% [2]. And because it feels like a real conversation, your customers don’t see it as another tedious form.
We’ve found that Specific offers a best-in-class user experience for conversational surveys, making every feedback session natural, engaging, and high quality. For more details on building these, see our how-to guide on creating surveys for SaaS feature requests.
See this Feature Requests survey example now
Get started with your feature request survey and see firsthand how conversational AI surveys transform customer feedback into actionable insights. Let Specific help you connect with your users and surface the ideas that matter most—fast, friendly, and deeply effective.