This article will guide you on how to create a Student survey about Accessibility Services. With Specific, you can build comprehensive surveys in seconds—just generate your survey and start collecting feedback right away.
Steps to create a survey for Students about accessibility services
If you want to save time, just generate a survey with Specific and let the AI do the heavy lifting. Here’s how simple it is:
Tell what survey you want.
Done.
You really don’t need to read any further. Specific’s AI uses expert knowledge to create great surveys, asking smart follow-up questions automatically to gather nuanced insights from your respondents. If you’re looking to create other types of surveys, the process is just as quick and easy.
Why a student survey on accessibility services matters
Let’s talk about why running a survey on accessibility services with students is so important. First, **19% of undergraduate students reported having a disability** in a recent academic year, according to the National Center for Education Statistics [1]. That’s nearly one in five students—if you’re not getting their input, you’re missing out on vital perspectives and may unintentionally overlook significant accessibility barriers on campus.
Another eye-opener: a study from the University of Washington found that **many popular online survey tools have significant accessibility issues** [2]. If you’re not using the right tools, you might be inadvertently excluding the very students whose voices matter most for these initiatives.
Importance of student recognition surveys: They help you spot gaps in support, celebrate what’s working, and take action where it’s needed most.
Benefits of student feedback: It highlights both pain points and bright spots—giving you actionable data to improve accessibility services.
The opportunity here is huge. Running a proper, inclusive survey ensures you’re listening to all students—especially those whose needs are often overlooked. If you don’t, you’re simply guessing at what matters and risking biased data that fails to drive meaningful change.
What makes a good survey on accessibility services?
To get honest, actionable feedback from your student survey on accessibility services, focus on:
Clear, unbiased questions: Use straightforward language. Avoid jargon and complex sentences so every student, regardless of ability, can understand. This aligns with best practice guidelines for accessible surveys [3].
Conversational tone: Write questions like you’re talking to a friend. Respondents are more likely to be candid if the survey feels approachable.
Survey accessibility: Enable keyboard navigation, offer alternative formats (large print, audio), use high-contrast colors, and label required fields clearly. These are basic steps, but too often overlooked [3].
Bad Practices | Good Practices |
---|---|
Jargon-filled questions | Clear, plain language |
No alt-text on images | Accessible images with alt-text |
One-size-fits-all format | Alternative formats available |
Hard-to-read contrast | High-contrast text and backgrounds |
Ultimately, a good survey on accessibility services is judged by the quantity and quality of responses. You want both: lots of students participating, and thoughtful, insightful answers that drive change.
Question types with examples for student survey about accessibility services
The best student surveys on accessibility services use a mix of question types to get both breadth and depth.
Open-ended questions give students freedom to share details in their own words. Use these when you want stories, not just numbers. For example:
Can you describe any barriers you’ve experienced in accessing campus resources?
What improvements would make our accessibility services more helpful for you?
Single-select multiple-choice questions are perfect for quick, structured feedback or when you want to segment responses later. For example:
How would you rate the accessibility of campus facilities?
Very accessible
Somewhat accessible
Not accessible
Not sure
NPS (Net Promoter Score) question is great for benchmarking satisfaction. Use NPS when you want to see how likely students are to recommend your services—and pair it with a follow-up "why?". Try generating a full NPS survey for students about accessibility services in seconds. Example:
How likely are you to recommend our accessibility services to other students? (0-10)
Followup questions to uncover "the why": Following up is crucial, especially for understanding motivations or clarifying ambiguous responses. For example:
What made you give that rating?
If you want more ideas or tips on crafting student survey questions about accessibility, check out our guide on best questions for student survey about accessibility services.
What is a conversational survey?
A conversational survey feels like a real chat, not a static form. It engages students in a friendly, adaptive exchange—prompting for clarification, gently probing for details, and responding in the moment. The difference compared to old-school/manual survey creation is huge. With an AI-powered survey generator, you just describe what you want; the system auto-generates a full survey with the right tone, follow-up logic, and accessibility baked in.
Manual Surveys | AI-Generated Surveys |
---|---|
Static, one-way forms | Interactive, dynamic chats |
Tedious to create and edit | Instant, chat-based survey design |
Misses context, no follow-up | Smart follow-ups, richer data |
Hard to personalize tone | Conversational and accessible |
Why use AI for student surveys? Simple: it saves time, eliminates bias, and creates a better experience for students. Need to update your survey? Just chat with the AI survey editor and see instant changes. And AI survey examples are inherently conversational, adaptive, and easy to iterate—especially with platforms like Specific, which delivers a best-in-class user experience for both survey creators and respondents.
Want to learn more about building a conversational survey? Check our guide on how to analyze responses from student survey about accessibility services.
The power of follow-up questions
Follow-up questions are the key to unlocking richer feedback, especially in a student survey about accessibility services. Specific uses AI-powered automatic follow-up questions to chat with respondents in real time, just like an expert interviewer would. This approach clarifies vague answers and digs into context—without any manual effort or email tag.
Student: “The ramps are okay.”
AI follow-up: “Could you share what ‘okay’ means for you? Is there anything that could make the ramps more accessible?”
Without follow-ups, we’d only get ambiguous responses like “okay” or “fine”—and miss out on the actionable detail that drives improvement.
How many followups to ask? Typically, 2–3 well-targeted follow-ups are enough to get depth without wearing out the respondent. Specific lets you control the depth and even lets respondents skip if they’ve already shared enough context.
This makes it a conversational survey: Follow-ups turn a dull Q&A into a real, engaging conversation, boosting both response rates and data richness.
AI response analysis, easy insight extraction, qualitative data: Even when you collect tons of open-ended feedback and follow-ups, Specific’s AI survey response analysis makes it easy to analyze unstructured responses, find patterns, and chat with the data (learn more here).
Automated follow-ups are a new concept for many—try generating a survey now and see how this works firsthand.
See this accessibility services survey example now
Create your own survey in seconds, gather deeper insights from students, and discover how conversational surveys using AI can transform your understanding of accessibility services.