Here are some of the best questions for a conference participants survey about audio quality, plus practical tips on crafting them. You can instantly generate your own conference audio quality survey with Specific—just build your survey here in seconds.
Best open-ended questions for conference participants about audio quality
Open-ended questions let us capture detailed feedback in respondents’ own words. They’re perfect when we want actionable insights, context, and nuances—much more than a checkbox can deliver. Since poor audio can reduce speaker credibility by 19% and clear sound boosts engagement by up to 40% [1], it’s smart to dig deep into attendee experiences.
What stood out to you about the audio quality during the sessions?
How did the audio quality impact your overall engagement with the conference?
Were there any moments where you struggled to hear or understand what was being said? Please explain.
If you encountered any audio issues, how did they affect your experience?
Can you describe an instance where clear audio made a difference for you?
What suggestions do you have for improving audio quality at future events?
How would you compare the audio quality of this conference to others you've attended?
Which session(s), if any, had particularly noticeable audio issues or exceptional sound quality?
How did background noise or echo affect your ability to focus on the speakers?
Is there anything else about the conference’s audio setup or technology you’d like us to know?
Best single-select multiple-choice questions for conference participants about audio quality
Single-select multiple-choice questions make it easy to quantify results and spot patterns quickly. They’re perfect when you want a clean overview or to ease respondents in before diving deeper—often, making a quick pick gets the conversation going. Follow-ups to these answers can reveal greater detail, too. For context, average response rates to in-person event surveys can reach 50–60% [2], so keeping it simple helps maximize feedback.
Question: How would you rate the overall audio quality during the conference?
Excellent
Good
Fair
Poor
Question: Did you experience any audio issues during the event?
No, everything worked perfectly
Minor issues (e.g., brief interruptions, volume fluctuations)
Major issues (e.g., could not hear, feedback, persistent static)
Other
Question: Which type of session had the best audio quality?
Main keynote sessions
Breakout or workshop sessions
Panel discussions
Networking or informal events
When to followup with "why?" We add a "why" follow-up when we want context behind a choice. For example, if someone selects “Poor audio quality,” asking “Can you tell us more about what made it poor?” helps us fix specific problems for next time.
When and why to add the "Other" choice? Use “Other” when respondents might have a unique experience not listed in your options. Prompting them to explain further can surface unexpected issues or best practices we hadn’t considered, giving us more well-rounded insight.
NPS survey question for conference participants about audio quality
NPS (Net Promoter Score) asks how likely someone is to recommend your event—or, in this case, its audio quality—to others. It’s as powerful for conferences as for products: uncovering not only attendee loyalty but audio’s role in overall satisfaction. If audio clarity increases information retention by 30% [1], knowing our “promoters” can highlight what we did right. Want to try this approach? Launch an NPS survey about audio quality in seconds using Specific’s NPS builder.
The power of follow-up questions
We get the richest insights when we don’t leave feedback hanging. Automated follow-up questions—like those powered by Specific—dig deeper on the spot. This reduces back-and-forth, saves us from sending endless emails, and lets us clarify "fuzzy" feedback right away. AI can ask follow-ups as an expert would, capturing the “why” and “how” behind every answer. This is game-changing for conference feedback.
Conference participant: “I couldn’t hear well in the first session.”
AI follow-up: “What specific issues did you notice with the audio during that session? Was it volume, clarity, background noise, or something else?”
How many followups to ask? Typically, 2–3 follow-ups are enough to get the needed context. On Specific, you can set the AI to skip to the next question when it’s gathered the details you want, so you don’t overload the respondent or collect redundant info.
This makes it a conversational survey: Follow-ups turn surveys into natural conversations—people share more, feel heard, and response rates soar.
AI survey response analysis: Even though open-ended responses feel unstructured, it’s effortless to analyze all replies using AI. The AI distills each response and reveals key trends fast—no need to read everything manually.
This follow-up system is pretty fresh—try generating a survey and see how engaging it feels vs. a regular form.
How to write a great prompt for GPT to generate conference audio quality survey questions
When prompting ChatGPT (or any GPT assistant) to write survey questions, simple is good—but giving more detail always gets you better results. Here’s how to start:
Start with a basic prompt:
Suggest 10 open-ended questions for conference participants survey about audio quality.
But add context about your audience, event type, what you want to learn, etc. For example:
I'm collecting feedback from attendees at a hybrid tech conference. Suggest 10 thoughtful open-ended questions for a post-event audio quality survey. Focus on unique in-person and virtual attendee experiences, and help us spot technical or setup challenges.
Once you have your questions, organize them into themes with another prompt:
Look at the questions and categorize them. Output categories with the questions under them.
Next, dive deeper by choosing categories to expand. Write:
Generate 10 questions for categories “technical issues,” “environmental factors,” and “session comparison.”
What is a conversational survey (and why choose AI for conference feedback?)
Conversational surveys work like a guided chat: the survey adapts in real time, responds to attendee input, and asks clarifying follow-ups if needed. Old-school forms are rigid and impersonal, but an AI survey—a specialty of Specific—lets you collect rich, contextual answers that feel like a human conversation. Here’s how the two approaches stack up:
Manual Survey | AI-generated Survey |
|---|---|
Static, same questions for everyone | Dynamic follow-ups based on what’s said |
Easy to miss critical context | Picks up details and clarifies in real time |
Limited respondent engagement | Feels like a natural chat—higher completion rates |
Analysis takes hours | AI-generated summaries and instant insights |
Why use AI for conference participants surveys? AI-driven feedback collection gets higher response rates, especially in environments like conferences where in-person surveys can reach 50–60% participation [2]. It adapts to respondents, saving us time (especially compared to manual follow-up), and ensures we hear what matters most.
If you want to learn the basics, check out our step-by-step guide on how to create a conference audio quality survey with Specific’s tools.
Bottom line: our conversational survey format—powered by advanced AI—makes feedback faster, deeper, and easier for both you and your participants. Try the AI survey generator today and experience the difference.
See this audio quality survey example now
Jumpstart your conference audio feedback process—see how Specific’s conversational surveys let you collect, clarify, and act on participant insights in one seamless flow. Create your own survey and instantly start learning what matters most.