This article will guide you through how to create a Fireside Chat Attendee survey about Topics of Interest. We’ll walk through just how quickly you can build this kind of survey using Specific—no technical background, no hassle.
Steps to create a survey for Fireside Chat Attendee about Topics of Interest
If you want to save time, just click this link to generate a survey with Specific.
Tell what survey you want.
Done.
You honestly don’t even need to read further—AI takes care of every detail, building an expert-backed survey in seconds. It doesn’t just ask surface-level questions; it even follows up for richer insight all while feeling like a conversation, not a checklist. Explore more ways to use the AI survey generator for any audience or topic.
Why running a survey like this actually matters
If you’re not collecting targeted feedback from your fireside chat attendees about their topics of interest, you’re missing huge opportunities for improvement and engagement. Here’s why running a smart attendee survey is crucial:
Relevance and engagement: Attendees feel respected when their interests shape the discussion, which builds loyalty.
Actionable insights: You learn exactly what matters most, so you can craft events that people want to show up for again.
Continuous improvement: When you know what worked or fell flat, you make the next session stronger without guessing.
Consider this: 70% of organizations that actively seek feedback report improved outcomes. By directly listening to your audience, you’ll spot both the quick wins and the big-picture changes that create value—while also avoiding wasted effort on topics that don’t connect. If you’re not running these conversations, you’re relying on guesswork when you could be getting insights straight from the source[2].
The importance of attendee recognition survey and the benefits of structured feedback go far beyond just engagement: you end up with smarter programming, higher ROI, and content that matches the pulse of your community.
What makes a good survey on topics of interest?
The difference between a great feedback survey and a forgettable one often comes down to clarity and respect for respondents’ time. Here’s what makes all the difference:
Clear, unbiased questions: Keep them focused and jargon-free so every respondent knows exactly what you’re asking.
Conversational tone: If your questions sound robotic, answers will be short and inauthentic. A warm, open style invites better honesty.
Conciseness: Especially for events, survey length matters. Completion rates drop by 5-20% if the survey is longer than 7–8 minutes—so keep it lean for maximum results[1].
Bad Practices | Good Practices |
|---|---|
Ambiguous, double-barreled questions | One main idea per question |
Overly formal, cold language | Conversational, friendly tone |
All required answers, no flexibility | Mix of optional responses and follow-ups |
Too many questions | Short enough for high completion |
The best way to judge a survey’s effectiveness? Measure the quantity and quality of responses. You want both: lots of responses and meaningful, well-thought-out answers.
What are question types and good examples for Fireside Chat Attendee surveys about topics of interest?
No single question type works for everything; choosing the right mix is essential for getting actionable data. Here’s how to approach it—plus examples:
Open-ended questions let you uncover unprompted insights, stories, or frustrations that a checklist would miss. Use them at the start, or when you don’t know what you don’t know.
What topic would you most like to hear discussed at our next fireside chat?
Is there any area or challenge not currently covered that you wish we’d include?
Single-select multiple-choice questions are best for quick categorization or prioritization. They’re easy to answer and easy to analyze—ideal for narrowing down the options.
Which topic is most important to you at upcoming events?
Industry trends
Leadership stories
Personal growth
Networking strategies
NPS (Net Promoter Score) question gives you a pulse on overall attendee sentiment and loyalty. Use it in follow-up surveys after your event, or to benchmark satisfaction over multiple sessions. You can generate an NPS survey for fireside chat attendees about topics of interest automatically in seconds.
How likely are you to recommend our fireside chat series, based on today’s topics of interest, to a friend or colleague? (0–10)
Followup questions to uncover "the why": The beauty of AI-crafted conversational surveys is their ability to immediately probe for more context if an answer is vague or intriguing. Use follow-ups when you want to dig deeper into motivations or reservations—especially after an open-ended or multiple-choice reply.
Can you tell me more about why this topic stands out to you?
What would make this discussion even more useful for you?
If you want to dive deeper into the best ways to craft each question or explore more examples, check out our guide on best questions for a fireside chat attendee survey about topics of interest. We share practitioner tips and cover more ways to structure your survey for richer insights.
What is a conversational survey?
A conversational survey is more than just a form on a page—it’s an interactive chat experience, where each question feels like a real exchange. Instead of bombarding your audience with a static list, you’re engaging them step by step. With Specific, this conversation is powered by AI, creating a frictionless process for both the survey creator and the participant. No more impersonal checkboxes: the survey adapts, asks context-aware follow-ups, and feels like a dialogue with a smart moderator.
Let’s look at why an AI survey builder changes everything. Here’s a quick comparison:
Manual survey creation | AI-generated survey |
Requires lots of time and guessing | Instantly creates expert-level questions |
Static questions, no follow-ups | Dynamically adapts to each answer |
Hard to personalize language/tone | Conversational, respondent-friendly |
Manual response analysis | AI summarizes and organizes data |
Why use AI for fireside chat attendee surveys? Using an AI survey generator takes all the guesswork out of writing great questions and ensures you’ll capture the full context behind every answer. If you want the best in class conversational survey experience—and to make analysis a breeze—we’ve built Specific so you get smooth, natural-feeling feedback that’s easy to take action on. If you want to go deeper on building a survey from scratch, check our guide on how to create and analyze a survey.
This isn’t just a trend—AI conversational surveys empower you to reach insights you never would with traditional forms. Search engines love this, and respondents do too. Looking for a AI survey example or a real AI survey builder? You’re in the right place.
The power of follow-up questions
Automated follow-up questions are the “secret sauce” that separate forgettable event surveys from truly actionable feedback. If your survey can immediately probe after a vague reply, you uncover layers of meaning with zero extra back-and-forth—no more chasing people down via email days later. Specific’s conversational surveys use AI to trigger smart, contextual follow-ups, just like a seasoned interviewer. You get complete answers, deeper insights, and a natural flow that mirrors real conversation. You can read more about how this works in our automated followup questions article.
Attendee: “I liked the session, but not sure about all the topics.”
AI follow-up: “Which topics did you find less engaging? Can you share why they didn’t resonate?”
How many follow-ups to ask? In practice, 2–3 follow-up questions are plenty. Specific gives you the flexibility to let the survey move forward as soon as you get the depth you want—no wasted time, and respondents never feel overwhelmed.
This makes it a conversational survey: Each exchange feels like a real dialogue, not a cold checklist. Respondents share more, and you collect the stories behind the data.
Easy survey analysis, AI insights, qualitative data: All this rich, unstructured text can seem daunting, but analyzing responses is effortless using AI. Learn how with our guide on AI survey response analysis—we break down exactly how to surface themes and act on them, no data science required.
Automated follow-up questions are a fresh approach, and if you’re still using static surveys, try generating a survey with AI—the shift in quality is immediate.
See this topics of interest survey example now
Create your own survey in seconds, get more thoughtful responses, and never miss out on the insights that matter – all powered by AI and a smooth, conversational experience.