This article will guide you on how to create a survey for SaaS customers about feature requests. With Specific, you can build such targeted surveys in seconds using AI. Let’s get straight to it.
Steps to create a survey for SaaS customers about feature requests
If you want to save time, just click this link to generate a survey with Specific. Here’s how simple the process is:
Tell what survey you want.
Done.
You barely have to read any further. The AI instantly creates your SaaS customer survey about feature requests with expert-level knowledge built in, including smart follow-up questions so you get richer insights without lifting a finger. If you want to create a different kind of survey, start with a fresh prompt and the AI will handle the heavy lifting for any survey—no manual form building required.
Why run a SaaS customer survey about feature requests?
Collecting real, actionable feedback directly from SaaS customers is essential. If you’re not running these surveys, you’re missing out on:
Uncovering user pain points and feature gaps before they turn into support tickets or churn.
Prioritizing your roadmap with hard data instead of guesses—no more building in a vacuum.
Spotting trends in user demand so you can validate (or kill) ideas faster.
Consider this: 52% of people worldwide believe companies need to act on feedback provided by their customers. And 67% of churn is preventable if you resolve issues the first time. [1] Ignoring the voice of your users directly impacts your bottom line. What’s more, customer-centric businesses are 60% more profitable than those making gut-based decisions. [1] If you're not actively listening and responding, you’re almost certainly leaving growth and retention on the table.
To dig deeper, check out our full take on the benefits of customer feedback and feature request surveys for SaaS teams.
What makes a good SaaS customer survey about feature requests?
A great feature requests survey is one users actually want to complete—and that delivers answers you can trust. Aim for:
Clear, unbiased questions that avoid leading or confusing respondents.
Conversational tone to encourage honest and open sharing.
Short, focused structure—people will drop off if it feels like work.
Here’s a quick cheat sheet:
Bad practices | Good practices |
|---|---|
Overly complex or technical wording | Simple, everyday language |
Assumes a specific answer (“Wouldn’t you love...?”) | Neutral phrasing (“How would you feel if…?”) |
Only multiple choice with no room for details | Open-ended fields for deeper insight |
Too many questions in one go | Focused, prioritized survey flow |
The ultimate test? If you’re getting both a high response rate (people finish it) and high-quality insights (answers are useful), your survey is working. With Specific, you automatically tap into best practices from research experts.
What are the best question types for SaaS customer surveys about feature requests?
Every audience is different, but mixing question types helps you get a fuller picture. Here’s a quick rundown:
Open-ended questions let customers explain needs and blockers in their own words—ideal when you want detail and context, not just a “yes/no” or a score. Use these for exploring what’s missing or why a feature matters. For example:
What’s the one feature you wish our product had, and why?
Can you describe a recent time you struggled to achieve your goal with our software?
Single-select multiple-choice questions are fast for the user and easy to quantify. Use them when you want to rank priorities or measure popularity.
Which of these feature ideas would be most valuable to your workflow?
Bulk editing
Dark mode
Advanced reporting
Custom integrations
NPS (Net Promoter Score) question is a classic for measuring customer loyalty—especially in SaaS. Usually, follow up with a “why” to reveal root causes. Try this NPS survey generator for SaaS feature requests if you want an instant example.
On a scale from 0-10, how likely are you to recommend our product to a colleague? Why did you select that score?
Followup questions to uncover "the why": Open the door for deeper context. When a user picks an option, immediately follow up to ask why or how that makes a difference for them. Example:
What would make bulk editing especially useful for your team?
If you want a full breakdown or more example questions, visit our guide on the best questions for SaaS customer feature request surveys. It dives into how to brainstorm, structure, and improve your question flow for maximum insight.
What is a conversational survey?
A conversational survey is an AI-driven chat that feels like a real discussion—not a static form. Instead of firing off all questions at once, the survey adapts to each response, asks tailored follow-ups, and maintains a natural tone. Results? People engage for longer, open up more, and deliver cleaner data.
Here’s how AI survey generation is different from traditional/manual methods:
Manual Survey Creation | AI-Generated Surveys (Conversational) |
|---|---|
Manual copy/paste for each question | AI writes and structures questions from a simple prompt |
Generic, rigid forms | Adapts language and order to the user—feels personal |
No follow-ups unless pre-built | Dynamic, smart follow-up questions in real time |
High drop-off rates, survey fatigue | Feels fast and conversational, keeps people engaged |
Why use AI for SaaS customer surveys? Using AI isn’t just about speed; it’s about depth. Specific’s platform ensures every survey is expertly tuned and adapts on the fly. If you want an AI survey example or want to see the process, check our article on how to create a conversational survey or play with the AI survey generator.
Conversational surveys in Specific offer the best user experience—mobile, chat-like, and unintimidating. Engagement rates soar because it feels like a chat, not a form. Even for large teams, set-up is instant and customization is effortless thanks to our AI survey editor.
The power of follow-up questions
Follow-up questions are where the magic happens in conversational surveys. Instead of surface-level answers, you’ll learn the reasoning and emotions behind each response. This is essential for truly understanding SaaS customer needs around feature requests. For a deep dive on automated follow-ups, see our article about conversational followups using AI.
Specific uses AI to ask smart follow-ups—on the spot, in context, like an expert interviewer would. These automated questions gather the “why” and “how” behind every answer. It’s a major time saver compared to manual email follow-up, and it makes the experience natural for your customers. Here’s how it looks if you skip follow-ups vs. using them:
SaaS customer: “I’d love to see reporting improved.”
AI follow-up: “Could you describe what’s missing in our current reports?”
How many followups to ask? Generally, 2-3 well-placed follow-ups per main question uncover the full insight, but less is often more. In Specific, you can even set logic to skip once you’ve got the key info, keeping things friendly and frictionless.
This makes it a conversational survey: The back-and-forth is what transforms a simple Q&A into an engaging, human exchange. Respondents feel heard, and you get the real stories behind the stats.
Easy survey analysis with AI is a game changer: Even if you collect hundreds of open-ended replies, you don’t have to sift through all the text manually. The AI survey analysis tools from Specific (explained here and on this page) turn unstructured feedback into instantly usable insights with simple summaries, graphs, and theme discovery.
Automated followups are a fresh approach—try generating a SaaS customer survey about feature requests and experience what deep conversational insight feels like in minutes.
See this feature requests survey example now
Create your own survey now and unlock authentic user feedback in minutes. Tap into the power of conversational surveys, get actionable insights instantly, and never fly blind on your feature roadmap again.