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Best questions for masterclass attendee survey about agenda preferences

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Adam Sabla

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Aug 22, 2025

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Here are some of the best questions for a Masterclass Attendee survey about agenda preferences, along with practical tips on structuring impactful surveys. If you want, you can build your own survey using Specific in just seconds.

Best open-ended questions for agenda preferences surveys

Open-ended questions help you uncover deep insights behind your attendees’ choices. We love using them when we want to invite honest, nuanced feedback—not just surface-level answers. These questions let respondents describe specific interests, concerns, and hopes in their own words, providing context that rigid choices can’t capture. For conversational surveys, quality open-ends keep engagement high and the feedback rich—something that’s especially important for sessions like a Masterclass where context really matters. Not only does this lead to more informative feedback, but research shows that AI-driven conversational surveys elicit significantly higher-quality responses than traditional online forms. [2]

  1. What topic or session would you most like to see included in the agenda?

  2. Can you describe a previous masterclass session that stood out to you? What made it memorable?

  3. Which skills or knowledge areas do you feel are missing from our current agenda?

  4. How would you improve the flow or order of sessions during the event?

  5. What format (e.g., workshop, panel, lecture) do you find most engaging, and why?

  6. Are there any speakers or experts you would recommend for future masterclasses?

  7. Can you share an experience where an agenda truly met—or failed to meet—your expectations?

  8. What challenges do you hope this masterclass will help you address?

  9. How do you prefer to participate during sessions (active discussion, hands-on work, observation)?

  10. Is there anything else about the agenda or event structure you'd like us to know?

Best single-select multiple-choice questions for agenda preferences

When you want to quantify preferences or start the conversation, single-select multiple-choice questions come in handy. They let attendees quickly select their main preferences from a focused set of options—a lower friction way to capture trends before diving deeper with follow-ups or open-ended prompts. For example, if someone expresses a strong preference for panels over workshops, you can immediately ask “why?” in a conversational survey flow. This keeps respondents engaged and lowers cognitive load, while giving you structured, easily-analyzable data to spot patterns at a glance.

Question: Which session format do you most prefer?

  • Workshops

  • Panels

  • Lectures

  • Networking Sessions

  • Other

Question: How would you rate the balance between interactive and lecture-style sessions?

  • Too many lectures

  • Mostly balanced

  • Too much interaction

Question: What is your primary objective in attending this masterclass?

  • Learning new skills

  • Networking

  • Getting inspired

  • Other

When to follow up with “why?” We ask “why?” as a follow-up when a response could mean different things to different people. For example, if an attendee selects “workshops” as their preferred format, we might follow up with: “Why do you find workshops most valuable?” This helps us connect options to real motivations and uncover actionable insights that choices alone can’t provide.

When and why to add the “Other” choice? Always add “Other” when you suspect your pre-set choices might not cover every possible preference. Follow-up with a question like “Can you describe what you had in mind?”—that’s how you surface unexpected ideas and trends that can give your agenda a competitive edge.

Should you use an NPS-type question?

NPS (Net Promoter Score) questions, like “How likely are you to recommend this masterclass agenda to a colleague or friend?”, provide a reliable benchmark of attendee satisfaction and perceived value. NPS is especially powerful as a pulse-check before and after significant agenda changes. In the context of agenda preferences, it can help you segment attendees by enthusiasm: ask deeper follow-ups to passives and detractors, while learning what excites promoters. If you want to quickly generate an NPS survey tailored for masterclass attendees, try this preset survey builder.

The power of follow-up questions

Follow-up questions are where conversational surveys reveal their true strength. Instead of stopping at the first answer, we dig deeper—in real time, just like a skilled interviewer. With Specific, our AI automatically asks targeted follow-up questions when answers are unclear, brief, or spark curiosity. This brings context and clarity, which means better insights every time. (Learn more about automated follow-up questions.)

  • Attendee: "I wish there were more engaging sessions."

  • AI follow-up: "Could you tell us which types of sessions you find most engaging?”

Without a follow-up, you’d have a vague answer that’s hard to act on—instead, you unlock specifics in the very moment of response, minimizing guesswork for your team. Studies show AI-powered surveys yield more relevant and detailed feedback than traditional methods, simply because they can clarify and probe as a human researcher would. [2]

How many followups to ask? Usually, two or three targeted follow-ups per question are enough to capture depth without overwhelming people. Specific lets you adjust this setting—and the AI smoothly skips to the next topic when enough context is collected.

This makes it a conversational survey: It turns feedback into a two-way conversation, increasing engagement and trust. Respondents feel heard—not just “processed.”

AI response analysis, theme detection, chat with GPT: Analyzing lots of open-ended feedback used to be a slog. Now, you can analyze responses using AI-driven response analysis, with summarization, tagging, and even direct chat about results—all in one platform.

If you’re curious about how follow-ups can change your survey game, generate a conversational survey and experience the difference firsthand.

Crafting prompts for ChatGPT or AI survey builders

If you’re using ChatGPT or another AI to help generate survey questions, be specific (no pun intended!) in your prompts to get richer output. Even a simple prompt like this can go a long way:

Suggest 10 open-ended questions for Masterclass Attendee survey about agenda preferences.

But if you add context—your audience, goals, challenges—the AI gets even smarter. For example:

Suggest 10 open-ended questions for a survey targeting attendees of an online design masterclass. We want to understand which agenda topics would provide most value for mid-career designers looking to improve technical and leadership skills.

Once you’ve listed your questions, try this next prompt to refine the output:

Look at the questions and categorize them. Output categories with the questions under them.

Then, get laser-focused by exploring only categories that matter most to you:

Generate 10 questions for categories “Session Engagement” and “Missing Topics”.

This approach (prompting, categorizing, refining) can dramatically streamline your survey-building process—especially when paired with an AI survey generator designed for this kind of work.

What is a conversational survey?

Conversational surveys feel more like a genuine chat than a rigid form. Responses flow naturally, follow-up questions adapt in real time, and the whole structure flexes around each person’s answers. The result is higher engagement, richer feedback, and clearer priorities. Studies back this up: conversational, AI-powered surveys can achieve completion rates of 70–90%, while old-school forms average just 10–30%. That’s a big leap in response quality and volume. [1]

Here’s a quick comparison:

Manual Surveys

AI-Generated Conversational Surveys

Static, same questions for all

Dynamically adapts based on responses

Low engagement

Feels like chatting with an expert

Slow to build and analyze

Fast creation, instant AI analysis

Manual follow-up via email

Automated smart follow-ups in real time

Why use AI for Masterclass Attendee surveys? AI delivers a better experience for both creators and respondents. The process is smoother, faster, and more interactive—leading to better data and happier participants. You can see exactly how this plays out in this AI survey example. And if you want step-by-step tips, check out our guide on how to create a survey like this.

Specific stands out for its best-in-class conversational survey experience—making it easy to collect valuable feedback that helps you optimize every masterclass agenda.

See this agenda preferences survey example now

Ready to uncover actionable insights from your attendees with minimal effort? See what a true conversational, AI-generated agenda preferences survey can do—collect richer feedback in less time, with clarity that manual surveys can’t match.

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Sources

  1. superagi.com. AI vs. Traditional Surveys: A Comparative Analysis of Automation, Accuracy, and User Engagement in 2025

  2. arxiv.org. Field study: chatbot-based conversational surveys vs. traditional online surveys (2019)

  3. melya.ai. AI vs. Manual Entry: Survey Data Analysis Speed & Accuracy

Adam Sabla - Image Avatar

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.