Survey example: User survey about accessibility experience

This is an example of an AI survey about accessibility experience for users—see and try the example to get inspired or launch your own. If you want expert-level insights on accessibility fast, this is your shortcut.

Most teams struggle to create user accessibility experience surveys that actually engage people or uncover actionable detail, often getting low participation or shallow responses.

At Specific, we make conversational surveys effortless—our platform powers the tools and templates you see here, backed by deep expertise in feedback and user experience.

What is a conversational survey and why AI makes it better for users

Getting consistent, thoughtful feedback on accessibility experience from users is tough. Typical form-based surveys are long, tedious, and get ignored—the result is low completion rates and little depth when people do reply. That’s a big reason teams come to us for a better solution.

Conversational surveys let you gather user feedback in a way that feels like a natural, two-way chat. You ask, AI listens and responds, and follow-up questions come up organically. The result? More honest answers and double the insight, without participants feeling like they’re just filling in boxes.

AI survey generation changes the game entirely. When you use an AI survey builder, the process is fast, fun, and accurate—no more sifting through old templates or grappling with logic trees. Our AI survey generator takes your audience and goal, then builds a research-grade survey on the fly. Most importantly, you can just talk to it like you would a teammate, and it does the heavy lifting for you.

Why use AI for user surveys?

• AI surveys keep people engaged—abandonment drops to just 15–25%, versus 40–55% with traditional forms [2]

• Personalized experience ensures responses are clear and complete

• Faster launch, better insight, less hassle for both creators and respondents

• Specific specializes in conversational surveys, making user feedback collection smooth and even enjoyable

Check out our full guide on how to easily create user surveys about accessibility experience or try our AI survey generator if you want to build a custom survey from scratch. If you want to know which questions work best, see our expert list of accessibility questions for users.

Automatic follow-up questions based on previous reply

The heart of a conversational user survey is dynamic, targeted follow-up. Specific uses AI to probe like an expert interviewer—digging deeper, clarifying, and adapting in real-time to each response.

• User: “The text on some pages was hard to read.”

• AI follow-up: “Could you tell me which pages had difficult text, or what made them hard to read for you?”

• User: “Navigation could be better.”

• AI follow-up: “What specific navigation issues did you run into? Was it hard to find certain features, or something else?”

If you don’t ask follow-ups, responses like “it’s fine” or “not great” stay vague and unusable. But by probing for detail, you get the actionable context you need to make accessibility improvements. Otherwise, you’re left guessing—or sending a pile of emails after the fact.

Try generating a conversational survey yourself and feel how AI follow-ups make every answer richer; it’s a new way to truly learn from your users.

Follow-ups turn every survey into a real conversation, making it a true conversational survey—not just a form in disguise. Learn more about our adaptive follow-up system on our AI follow-up questions feature page.

Easy editing, like magic

Want to add, remove, or reword a question? Just type what you want to change in chat—our AI survey editor makes updates instantly, applying best practices automatically. You don’t spend hours dragging blocks or tweaking logic; edits take seconds, even for long or complex user surveys about accessibility experience.

The AI does the work, so you don’t need to be a survey expert—or babysit every detail.

Flexible survey delivery: Send as landing page or in-product

Specific surveys can be delivered in two seamless ways to fit your users and the context of your accessibility research:

• Sharable landing page surveys: Perfect if you want to collect accessibility insights across a user community. Share by email, link, or social post—great for accessibility feedback drives, onboarding feedback, or open research calls.

• In-product surveys: Embed a conversational AI survey right inside your SaaS product or website. Best for reaching users in the actual moments they’re using your product—so accessibility feedback is contextual, specific, and timely. You can trigger surveys after certain actions, upgrades, or when users might have encountered friction.

In-product delivery is especially strong for accessibility experience surveys; context matters, and there’s no better time to ask for actionable feedback than while users are actively engaging with your product. But landing page distribution is ideal when you need to reach a broader base or send tailored invites to selected groups.

AI-powered survey analysis: Instant insights, no spreadsheets

Once responses are in, Specific’s AI-powered analysis takes over—automatically summarizing answers, surfacing key accessibility themes, and finding actionable patterns in minutes. This goes far beyond stats: our platform pinpoints sentiment, highlights trending issues, and detects underlying topics thanks to reliable AI (it now scores up to 95% accuracy in sentiment analysis for user feedback [3]).

With automated survey insights and direct chat with AI, there’s no manual sorting or waiting. See how to analyze user accessibility experience survey responses with AI to learn more, or check out our survey response analysis feature for hands-on examples of analyzing survey responses with AI.

Whether you’re dealing with hundreds of users or just a few, AI survey analysis means you can turn raw feedback into strategy fast—and never touch a spreadsheet if you don’t want to.

See this accessibility experience survey example now

Try the conversational AI survey example for users focused on accessibility experience—it’s fast, detailed, and updates with expert guidance. See the future of feedback and make every response count.