Here are some of the best questions for a conference participants survey about accessibility and inclusion, plus tips on how to create them. If you want to build a smart, conversational survey in seconds, you can generate one with Specific using AI-powered tools.
Best open-ended questions for accessibility and inclusion feedback
Open-ended questions let conference participants express themselves freely and give richer context around their experiences. They're especially useful when we want real stories, constructive criticism, or actionable suggestions—insight that multiple choice alone simply can’t deliver. Feedback from open-ended questions can help us pinpoint not just "what" needs fixing but "why" and "how."
What aspects of the event made you feel most included or accommodated?
Can you describe any barriers or challenges you faced related to accessibility?
How did you find the physical access to the venue (e.g. entrances, seating, restrooms)?
Were there any specific moments where your needs were not met? Please elaborate.
How did you experience communication accessibility at the conference (signage, announcements, interpreters, etc.)?
What changes would you recommend to make our event more accessible?
If you used assistive technology or requested accommodations, how well did our team respond to your needs?
How comfortable did you feel sharing your accessibility needs with staff before or during the event?
Can you share a positive experience related to accessibility or inclusion at the conference?
Is there anything else you’d like to tell us about accessibility and inclusion at this event?
Open-ended feedback often surfaces patterns we didn’t know to look for. Plus, when paired with automated analysis (see more on how AI survey response analysis works), we don’t have to worry about being buried in unstructured data.
Best single-select multiple-choice questions to quantify feedback
Single-select multiple-choice questions are great for identifying trends, quantifying responses, and making it easier for participants to respond quickly—sometimes it’s less overwhelming than writing a paragraph. They’re also a good “conversation starter” if you pair them with follow-up questions for added depth.
Question: How would you rate the overall accessibility of the conference venue?
Excellent
Good
Fair
Poor
Question: Did you have any difficulty accessing conference materials (e.g., slides, handouts, schedules)?
No difficulty
Some difficulty
Significant difficulty
I did not use the materials
Other
Question: Were your accessibility needs communicated and handled appropriately before and during the event?
Yes, fully
Partially
No
I had no additional needs
When to follow up with "why?" If someone selects a negative option ("Poor" or "Significant difficulty"), follow up with "Could you tell us more about what didn’t work for you?" That’s where you’ll find actionable context. If they choose a positive answer, it’s equally valuable to ask, "What worked well for you?"
When and why to add the "Other" choice? Include "Other" when there’s a chance your provided options might miss edge cases or unique experiences. You can then prompt with an open-ended follow-up: "Can you describe what ‘Other’ means for you?" These answers often lead to insights we never anticipated.
Should you use an NPS question for accessibility?
The Net Promoter Score (NPS) isn’t just for customer satisfaction—it’s a powerful benchmark for measuring how likely participants are to recommend your event to others, including those with specific accessibility or inclusion needs. With a simple question (“How likely are you to recommend this conference to a colleague or friend with similar accessibility needs, on a scale from 0 to 10?”), we get a snapshot of perceived value and identify promoters, passives, or detractors. We can then tailor follow-up questions to get to the “why.”
NPS works particularly well for accessibility and inclusion because it reveals not just if attendees enjoyed the event, but if it met a standard they’d endorse for others. For a conference geared towards inclusion, that’s huge. If you want to try building this in one click, try the NPS survey builder for accessibility.
The power of follow-up questions
Follow-up questions turn plain surveys into actual conversations—this is where Specific really shines thanks to its automated AI follow-up feature. AI-driven follow-ups respond to what the participant said previously, digging for clarity, reasons, or specific examples. This approach produces higher quality data and often much higher response rates: Recent studies found AI-enhanced surveys can achieve 70-80% completion rates, compared to the usual 45-50% for traditional online surveys. [1]
Conference participant: "I couldn’t find accessible signage."
AI follow-up: "Could you share which areas or points in the venue were missing accessible signage or information?"
Conference participant: "Communication was hard during breakout sessions."
AI follow-up: "Do you mean the audio quality, a lack of interpreters, or something else?"
How many followups to ask? Usually, two to three focused follow-ups are enough to get to the heart of the matter. You don’t want to overwhelm participants, but you also don’t want to leave with half an answer. With Specific, you can set preferences so the AI stops asking once it’s gathered what you need.
This makes it a conversational survey: By following up thoughtfully, your survey becomes more like a genuine conversation—making it engaging, personable, and friendly.
AI survey analysis, open-ended analysis, response summaries: Even if you gather a lot of unstructured feedback, features like AI-based response analysis mean you can sift through all the feedback quickly, discover themes, and act decisively. The days of getting swamped by messy data are over.
Automated follow-ups are a new way of gathering feedback—if you haven't tried it yet, generate a conference survey now and see how much easier it is.
How to use prompts to get great survey questions
If you love experimenting, you can use prompts in ChatGPT (or similar AIs) to generate outstanding questions for your conference accessibility surveys. Start simple:
Suggest 10 open-ended questions for conference participants survey about accessibility and inclusion.
You’ll get even better results by giving the AI more context, such as your event size, participant demographics, and your genuine goals:
My event is a 3-day tech conference with attendees from multiple countries. Some participants use mobility aids, some are neurodiverse, and some have hearing or vision impairments. My goal is to make future events more inclusive and accessible to everyone. Suggest 10 open-ended questions to help us improve.
Now, ask the AI to organize your questions into themes for clarity:
Look at the questions and categorize them. Output categories with the questions under them.
This makes it easier to focus. Pick the categories you want to dig into—say, “venue access” or “communication aids”—and run another prompt:
Generate 10 questions for categories venue access and communication aids.
Prompts let you iterate fast, refine your intent, and crowdsource ideas even before you start building your actual survey.
What is a conversational survey, and why use AI to build them?
Conversational surveys are dynamic, feel like chat, and adapt in real time based on participant responses. Unlike rigid old-school forms, a conversational (AI-generated) survey keeps people engaged throughout the experience. This translates into more thoughtful answers—and more of them, since people are less likely to drop off half-finished. For accessibility and inclusion topics, this is game-changing. AI-driven survey builders, like Specific’s AI survey generator, mean you can go from idea to survey in seconds instead of hours. Plus, adjustments are easy—just tweak content using an AI-powered survey editor in plain language.
Manual Surveys | AI-Generated Surveys |
|---|---|
Static, one-size-fits-all questions | Dynamic, personalized questions and follow-ups |
Lower completion rates (often 45-50%) | Higher completion rates (up to 70-80%) [1] |
Slow to analyze (manual review of responses) | Instant analysis and actionable insights via AI [2] |
Missed context, vague answers are common | Fewer gaps thanks to real-time probing and clarification |
Why use AI for conference participants surveys? AI brings speed, accuracy, and engagement. It processes responses in real time, with up to 95% sentiment analysis accuracy [3], and drives much higher-quality insights. For feedback on accessibility—inclusive of all voices and experiences—this is vital.
If you want to see step-by-step instructions (with screenshots) for making a conference accessibility survey, check this how-to guide on creating surveys for accessibility and inclusion.
We see Specific as leading the way in conversational survey excellence. Our platform is optimized to make the process fast, natural, and engaging—for both you and your conference audience. It's an AI survey example people actually enjoy filling out.
See this accessibility and inclusion survey example now
Want to experience the smartest way to collect conference feedback? See this accessibility and inclusion survey example—conversational, customizable, and loaded with features to uncover what your participants really need. Don’t wait to get insights you can act on now.