This article will guide you on how to create a Fireside Chat Attendee survey about Expectations. With Specific, you can effortlessly build such a survey in seconds, leveraging the power of AI to get meaningful insights—no manual work needed.
Steps to create a survey for Fireside Chat Attendee about Expectations
If you want to save time, just generate a survey with Specific instantly. Creating a smart, conversational survey is as simple as it gets:
Tell what survey you want.
Done.
You honestly don’t need to read further if your goal is just to have an AI-generated survey in seconds. Specific’s AI uses expert knowledge to craft your survey and even asks tailored follow-up questions, so you get the kind of insights you’d expect from hiring a professional—without the time sink. If you want full control or a custom approach, you can always start from scratch by heading to the AI survey generator and exploring your options.
Why surveying Fireside Chat Attendees about expectations matters
Let’s be honest—if you’re not running these surveys, you’re missing out on direct guidance that shapes your event’s success. Here’s why:
Personalization: Understanding attendee preferences through pre-event surveys allows you to customize content, making your fireside chat actually matter to the people in the seats. If you ignore expectations, you risk bland content that could easily be a rerun. Tailored experiences drive greater satisfaction and engagement. [1]
Smarter planning: Pre-event feedback helps you swap out tired topics with what the audience actually wants. That means better decisions on everything from discussion themes to room setup and interactive formats, cutting back on wasted time and resources. [1]
Elevated impact: Aligning your fireside chat with real attendee expectations leads to higher satisfaction—people remember and talk about events that “got them.” Without this, you’re working in the dark and likely missing opportunities for positive word-of-mouth. [1]
The importance of fireside chat attendee recognition surveys and benefits of fireside chat attendee feedback go beyond one event—they help you build a reputation for running events people want to attend again and again.
What makes a good Expectations survey?
A strong Expectations survey for fireside chat attendees comes down to three things:
Clear, unbiased questions: Respondents shouldn’t need a dictionary (or guess your intent).
Conversational tone: People are more honest and relaxed when questions sound natural—like a chat, not an interrogation.
Actionable structure: Use a mix of open and closed questions for depth and easy analysis.
Bad Practices | Good Practices |
|---|---|
Vague questions (“Any feedback?”) | Specific prompts (“What do you hope to gain from this chat?”) |
Complex jargon | Simple, plain language |
No follow-up | Conversational probes for context |
The true test? Look for high-quality and high-quantity responses. You want as many honest, detailed answers as possible. A survey that receives lots of thoughtful responses is the gold standard.
What are question types with examples for Fireside Chat Attendee survey about Expectations?
Picking the right question type boosts the value of your feedback. Here’s how to approach it:
Open-ended questions allow attendees to express what’s truly important to them. Use them early to capture unique insights, or when you want to dig beneath the surface. For example:
What’s the main thing you hope to learn from this fireside chat?
If you could ask our speaker any question, what would it be?
Single-select multiple-choice questions are perfect when you want structured, easily quantifiable data—great for planning or comparing results at a glance. For instance:
Which aspect are you most looking forward to?
The live Q&A
Networking opportunities
Expert insights from the speaker
Other (please specify)
NPS (Net Promoter Score) question quickly gauges overall attendee sentiment and expectation. You can instantly generate an NPS survey for this exact purpose with Specific. For example:
On a scale from 0–10, how likely are you to recommend this fireside chat session to a colleague or friend?
Followup questions to uncover "the why": Use these when you want to know the reasons behind a respondent’s answers—to uncover hidden motives or concerns. Asking why after a closed question adds context you can act on. For example:
What’s the number one reason you gave that answer?
How could we improve your experience?
If you need more inspiration, check out our guide to the best questions for a fireside chat attendee survey on expectations for practical examples and pro tips.
What is a conversational survey?
A conversational survey is more than just a form—it’s an interactive, chat-like interview that adapts to the respondent’s answers in real time. Instead of leaping from static question to static question, the experience feels like talking to a smart assistant. That’s the magic of using an AI survey builder: you move beyond rigid, traditional surveys and into a space where each response drives the next question, generating richer insights automatically.
Manual Surveys | AI-generated (Conversational) Surveys |
|---|---|
Generic questions | Personalized questions and follow-ups |
Static structure | Dynamic, adapts in real time |
Time-consuming to create | Instantly generated with AI |
Why use AI for fireside chat attendee surveys? An AI survey generator like Specific understands the best question flow and can intelligently probe for context, cutting your setup time to seconds. If you want a deeper dive on the creation process, see our article on how to create a conversational survey.
For every AI survey example, the big gain is the respondent experience. Specific’s conversational surveys are as easy as texting, making it painless for attendees to share meaningful stories or preferences—leading to better data for you.
The power of follow-up questions
What makes a conversational survey truly smart is its ability to automatically ask context-aware follow-up questions. If you’ve ever emailed an attendee “Could you clarify what you meant?” after receiving a vague response, you know the struggle. With Specific’s automated AI followup questions, the survey prompts for clarity in real time, which yields much higher quality insights—without extra manual work.
Fireside chat attendee: “I’m interested in the topic.”
AI follow-up: “Which specific aspect of the topic are you most curious about?”
How many followups to ask? Usually, 2–3 targeted follow-ups is ideal for depth without overwhelming the respondent. You can adjust this in Specific—including skipping to the next topic once you’ve got what you need.
This makes it a conversational survey. You’re not just collecting responses—you’re having a real back-and-forth, which leads to richer, more accurate insights.
Easy response analysis: Even when you gather hundreds of detailed replies, it’s simple to analyze all the feedback using AI with our chat-driven tools—see our guide on analyzing survey responses for step-by-step instructions.
Automated followup questions are a new way to take your surveys from static forms to real, two-way conversations. Try generating a survey and see how powerful the insights can be.
See this Expectations survey example now
Create your own survey and experience how dynamically crafted questions, smart follow-ups, and instant response summaries can make your next event truly stand out. Move beyond bland forms—make your survey a conversation and gain insights that make a difference.