This article will guide you through how to create a user survey about accessibility experience, start to finish. With Specific, you can build surveys like this in seconds—no research or writing required.
Steps to create a survey for users about accessibility experience
If you want to save time, just generate a survey with Specific right now. Creating semantic surveys really is as simple as it sounds:
Tell what survey you want.
Done.
You honestly don’t need to read further. AI captures expert knowledge in seconds, generates the entire survey, and will even ask respondents follow-up questions for deeper insights. That's it. If you have a prompt, you have a survey—and Specific’s AI survey generator makes the whole process effortless.
Why user surveys on accessibility experience matter
Let’s get practical—if you’re not running accessibility feedback surveys, you’re leaving both real user pain and opportunity on the table. Here’s why:
Almost 9 in 10 participants—89%—report that accessibility issues stop them from using digital platforms easily[1]. If you ignore this, you’re guaranteed to frustrate users and lose engagement.
77% of users have actively avoided venues, and 73% have left venues because they weren’t accessible[2]. Accessibility experience is not a “nice-to-have”—it’s critical for inclusion and customer loyalty.
93% of people expect brands to prioritize accessibility[1]. Not caring means falling behind market expectations and missing out on a huge segment.
The importance of user recognition surveys and accessibility research can’t be overstated: careful listening uncovers pain points you won’t see in usage data. The benefits of user feedback are clear—improved satisfaction, lower churn, and genuine insights that help you build a better product or service for everyone.
What makes a good survey on accessibility experience?
Quality matters—a good survey asks clear, unbiased questions and uses a conversational tone that encourages honest, detailed answers. When creating a user survey about accessibility experience, we focus on semantic clarity, respondent comfort, and actionable outcomes.
Here’s a quick look at what to avoid—and what to do:
Bad practices | Good practices |
|---|---|
Vague or technical questions | Clear, simple language |
The measure of a solid survey is straightforward: both the quantity and quality of responses. High participation means you’ve hit the right note; thoughtful, detailed answers mean you’re getting real insight, not just checkboxes.
Question types and examples for a user survey on accessibility experience
Let’s cover the question styles you’ll want to include for rich, actionable feedback (if you want to go deeper on what to ask, check the best questions for user survey about accessibility experience guide).
Open-ended questions let users describe their needs, frustrations, or ideas—in their own words. Use them to learn about context and specifics. For example:
Can you describe a time when accessibility issues prevented you from fully using an app or website?
What changes would make digital services easier for you to use?
Single-select multiple-choice questions are perfect for quantifying patterns and quickly segmenting responses. For instance:
How often do you encounter accessibility barriers online?
Never
Rarely
Sometimes
Often
Always
NPS (Net Promoter Score) question help you measure overall sentiment and loyalty on accessibility. NPS is most useful when you need a benchmark to track changes or compare with others. You can generate a user accessibility NPS survey here. Example question:
On a scale from 0–10, how likely are you to recommend our website or app to someone who values accessibility?
Followup questions to uncover "the why" are essential—AI can dynamically ask these after any ambiguous or interesting response. For example:
What specifically made it difficult to complete your task?
Can you give more detail about the issue you faced?
Why use them? Context is everything. Follow-ups dig beneath the surface, letting you discover hidden blockers or lightbulb moments that help you improve.
What is a conversational survey?
Conversational surveys turn stiff, static forms into a natural back-and-forth—like a chat with a smart researcher (which is exactly how Specific’s AI feels). Unlike traditional forms, conversational AI surveys keep respondents more engaged, ask clarifying follow-ups in real time, and capture richer, more nuanced data.
Manual surveys | AI-generated surveys |
|---|---|
Manual setup | Automated from prompt |
Why use AI for user surveys? You get speed, consistency, and expertise—AI never forgets to ask the second question, adapts tone for every audience, and summarizes insights in a snap. For AI survey examples, try creating one from scratch with our AI survey builder or see our guide on how to analyze user survey responses.
With Specific, you get a best-in-class conversational survey experience. The process is engaging for both creators and respondents—which means more honest, complete answers, and a breeze to analyze later.
The power of follow-up questions
Without follow-ups, you risk missing the “why” behind user accessibility issues and suggestions. The difference is dramatic. Specific’s automated AI follow-up questions work in real time—asking smart, probing questions tailored to each unique answer, just like an accessibility research expert in a live interview. This saves hours you’d otherwise spend chasing clarity via email or phone, and makes respondents feel truly heard.
User: “Sometimes I can’t submit forms because of missing labels.”
AI follow-up: “Which forms or features typically cause these issues for you?”
How many followups to ask? In practice, 2–3 followups per initial open-ended answer are plenty. Configurable skip logic lets you move on as soon as you’ve got the clarity you need—Specific does this automatically.
This makes it a conversational survey: you're not running a Q&A, you're having a conversation, uncovering deeper context every time.
AI survey response analysis is painless—even if you have lots of messy text responses, Specific’s tools let you instantly chat with the data, summarize, and filter by theme. Check out the article on analyzing responses with AI for more.
Automated followups are a new standard—generate a survey and experience the difference for yourself.
See this accessibility experience survey example now
If you want actionable user feedback and deep, real-world accessibility insights, see how Specific’s conversational AI surveys can transform your approach—generate your own survey, gather honest answers, and unlock the real story behind the data.