Survey example: Event Attendee survey about speaker quality
Create conversational survey example by chatting with AI.
This is an example of an AI survey example for collecting speaker quality feedback from event attendees—see and try the example. Quickly understand what your audience thought about your speakers and get actionable insights using a conversational survey.
Getting meaningful, high-quality feedback after an event is notoriously tough—traditional Event Attendee Speaker Quality surveys are tedious, response rates are low, and often you aren’t sure what people really mean, missing out on key signals.
Specific is here to help you level up your surveys. Every tool you see here is powered by Specific, a platform built for natural, AI-driven feedback collection and analysis.
What is a conversational survey and why AI makes it better for event attendees
Most post-event surveys fall flat—they ask vague questions, feel more like chores than conversations, and as a result, participants don’t bother finishing them. For event attendees, the motivation to give feedback (especially about speaker quality) vanishes the second it starts feeling like homework. That’s where conversational AI changes everything.
Instead of static forms, a conversational survey engages attendees in a natural, chat-like exchange. It adapts in real time, genuinely “listens,” and reacts with relevant prompts or clarifying follow-ups. Because the experience feels more like talking to a real person, completion rates soar: AI-powered surveys have been shown to achieve completion rates of 70% to 90%, compared to the 10%–20% we expect from traditional post-event forms [1].
If you’ve ever dreaded sorting through half-answered survey forms or wished your feedback felt more personal, you’ll appreciate the difference.
Manual survey | AI-generated conversational survey |
---|---|
- Static - Low response rates | - Adaptive - Richer context |
Why use AI for event attendee surveys?
AI survey generators craft expert-level questions (no survey-writing headaches)
Surveys automatically adapt to the attendee’s feedback in the moment
Better survey experience = more thoughtful, complete responses
AI-driven design means up to 40% higher completion and 25% fewer inconsistencies vs. traditional methods [3]
Specific sets the bar high for conversational surveys. Everything is focused on making it smooth and engaging for both you as the survey creator and your event attendees as respondents. If you want to explore the best questions to ask for this context, check out the best questions for event attendee survey about speaker quality.
Automatic follow-up questions based on previous reply
The real power of a conversational survey is the way it uses automatic AI follow-up questions to dig deeper, just like a skilled interviewer would. Specific makes this effortless: as soon as an event attendee gives a reply, the AI considers the context and asks smart, clarifying follow-up questions on the spot.
This is a game changer when it comes to understanding speaker quality. Instead of generic responses, you get full context—what “great speaker” means, specific examples, and actionable suggestions. It saves you hours that would otherwise be spent following up via email (or worse, sifting through vague notes).
Event attendee: “The speaker was good.”
AI follow-up: “Could you share what specific aspect of the speaker’s presentation you found most valuable or engaging?”
Event attendee: “It was hard to follow parts of the talk.”
AI follow-up: “Which sections did you find confusing, and was there something the speaker could have done differently to help?”
If you skip these follow-ups, you’re left with frustratingly unclear answers—and the real story stays hidden. With Specific, this happens automatically and naturally, so even busy attendees open up. You can read more about this feature in detail at automatic AI follow-up questions and see why it matters.
Follow-ups turn surveys into real conversations, bridging the gap between open text and real insight—literally making an AI survey example feel like a chat, not a form.
Easy editing, like magic
Creating and tweaking your speaker quality survey with Specific is basically effortless. If you want to adjust a question, change the order, or fine-tune tone—just tell the AI what you want in a chat. The AI survey editor handles the complex logic and makes instant updates, using best-practice research knowledge. No more tedious editing or worrying if your survey makes sense; anything is editable in a few seconds.
Flexible survey delivery: links and in-product experience
With Specific, you can send your conversational survey in the way that actually works for event attendees, making it as frictionless as possible to get feedback about speaker quality:
Sharable landing page surveys—Perfect if you want to email your attendees, post the link in an event app, or share right after the talk. Just copy the link, and anyone can access your AI survey example instantly on any device.
In-product surveys—If your event runs on a dedicated platform or app, you can embed the survey so attendees get a conversational feedback prompt as part of their digital event experience. Great for real-time reactions after sessions, or for gathering structured input on speaker quality as the event unfolds.
In most event-attendee contexts, a landing page survey is the right choice—quick to deploy, zero tech complexity, and ultra-accessible. But if you’ve got a digital event experience, in-product surveys supercharge contextual feedback and timing.
Instant, AI-powered insights
Reviewing dozens or hundreds of open-ended replies about speaker quality doesn’t have to be a chore. Specific’s AI survey analysis instantly organizes event attendee feedback, summarizes main themes, and highlights what speakers did well—or could improve. With automatic topic detection and even a “chat with your data” feature, you can explore patterns, see sentiment, and turn survey responses into action without ever touching a spreadsheet. Want to know more about how to analyze event attendee speaker quality survey responses with AI? We’ve got a deep dive.
AI-powered analysis like this cuts data processing time by up to 50%, and delivers sentiment insights at 80% accuracy [2]. That means faster, clearer decisions for your event team.
See this speaker quality survey example now
Try the interactive AI survey example for event attendee feedback on speaker quality—experience how follow-up questions, true conversation, and instant insights transform post-event feedback forever. It’s never been easier to collect, clarify, and act on what your audience really thought.
Related resources
Sources
SuperAGI. AI vs Traditional Surveys: A Comparative Analysis of Automation, Accuracy, and User Engagement.
Zipdo. AI in the Market Research Industry Statistics and Trends.
SalesGroup.AI. How AI Survey Tools Transform Project Feedback & Data Quality.