Survey example: Conference Participants survey about panel discussion quality

This is an example of an AI survey for conference participants about panel discussion quality—see and try the example now.

Building effective conference participants panel discussion quality surveys can be a huge challenge, often leading to low participation and shallow answers.

At Specific, we create conversational survey tools that make it effortless for you to collect in-depth, actionable feedback. All of the survey and analysis features you see here are powered by Specific’s platform.

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

We’ve all struggled with surveys that make it hard to truly understand how a panel discussion resonated with the audience. Traditional surveys usually offer basic forms and miss the contextual richness that actual conversations provide. As a result, we end up with incomplete or meaningless answers—and even more follow-up work after the event.

This is where an AI survey example—like the one built for conference participants—changes the game. Instead of static forms, the survey unfolds as an interactive chat, adapting to each participant. This fuels higher response rates and more robust insights. Post-event surveys often struggle, with typical response rates hovering between 10% and 20%. But AI-powered surveys—especially those in a natural conversational style—can reach completion rates between 70% and 90%. That’s a dramatic jump, increasing the depth and usefulness of the data you collect. [1][3]

Why use AI for conference participants surveys?

• Boosts completion and engagement by making surveys feel like a conversation, not a chore

• Adapts questions in real time based on the participant’s responses, unlocking more meaningful insights

• Reduces abandonment rates—traditional surveys see 40% to 55% drop-off, but AI surveys bring it down to as low as 15% [2]

Specific’s survey experience stands out for both creators and respondents. The conversation feels natural and effortless, ensuring event organizers and speakers get feedback that actually helps them improve future panel discussions. For more practical advice, check out the best questions for conference participants surveys about panel discussion quality, or if you want to build a survey from scratch, try our AI survey generator.

Automatic follow-up questions based on previous reply

One of the unique features of a conversational AI survey from Specific is how it asks smart, targeted follow-up questions—automatically. The AI listens to each answer in real time and follows up if something needs clarification, just like a skilled interviewer would. This is a game-changer for conference feedback on panel sessions. Instead of sending emails post-event to clarify vague responses, the survey gets richer insights right away, saving everyone time and unlocking authentic stories or concerns.

• Conference participant: “The discussion was pretty good.”

• AI follow-up: “What stood out to you about the panel discussion? Was there a specific topic or speaker that made it especially good for you?”

A follow-up like this turns an ambiguous answer into actionable feedback you can use instantly. Vague, one-liner responses often result in missed opportunities to identify what actually worked—or didn’t. You can see more examples and read about this concept on our automatic AI follow-up questions feature page.

These followups make every survey feel less like a form and more like a conversation—a proper conversational survey that participants actually enjoy completing.

Easy editing, like magic

Editing your conference participants survey couldn’t be easier. Just describe what you want to change in natural language—“Add a question asking if the panel had diverse perspectives”—and the AI instantly updates your survey. There’s no need to drag and drop or mess with endless toggles. Simply chat with the AI survey editor and make expert-level changes in seconds. You’ll save hours of tedium, allowing you to focus on what matters most: your event’s impact and outcomes. You can learn more about this seamless experience with the AI survey editor.

Delivery: in-product and landing page surveys

Getting your conference survey in front of participants is simple. With Specific, you can:

• Sharable landing page surveys—Perfect for sending the survey to all conference attendees via email or QR code. It’s great for capturing feedback after the event on how the panel discussion went.

• In-product surveys—If your event app or conference website supports embedded widgets, you can easily deliver the survey directly as people exit a session or access the event feedback portal. This catches participants while their impressions are fresh, increasing your response rates and feedback quality.

For panel discussion quality feedback, both delivery methods shine—the sharable landing page is typically the go-to for most conference organizers, but in-product is ideal when you have a digital event platform with attendee logins.

Instant AI survey analysis with actionable insights

Once responses start rolling in, Specific uses GPT-based AI to analyze them for you. With AI survey analysis, our platform instantly summarizes open-ended answers, highlights recurring themes, and distills the data into clear, actionable insights—no spreadsheets or manual coding required. Automatic topic detection surfaces what matters most to your attendees, and you can chat directly with AI to dig into the details, thanks to advanced features described at AI survey response analysis.

Curious how to use this in practice? We’ve put together a detailed walkthrough of how to analyze conference participants panel discussion quality survey responses with AI.

See this panel discussion quality survey example now

Experience the survey firsthand and collect better, richer feedback from every panel audience—see how a conversational AI survey unlocks honest, in-depth responses you can act on fast.