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How to use AI to analyze responses from ask me anything attendee survey about expectations

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Adam Sabla

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Aug 21, 2025

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This article will give you tips on how to analyze responses from an Ask Me Anything Attendee survey about Expectations, focusing on practical ways to unlock deeper insights with AI-driven analysis and thoughtful prompting.

Choosing the right tools for analyzing survey responses

The right approach for analyzing your survey data depends on how the responses are structured and formatted.

  • Quantitative data: If your survey included questions like “How likely are you to attend future events?” and respondents clicked a rating or chose from fixed options, you’re dealing with numbers and counts. Excel, Google Sheets, or built-in analytics can crunch these quickly. You can graph, filter, and calculate percentages—classic survey analysis.

  • Qualitative data: But when you ask open-ended questions or include conversational follow-ups (“What are you hoping to get from this event?”), you’ll end up with a pile of unstructured feedback. Manually reading hundreds of responses is overwhelming. To make sense of this, you need AI tools that summarize, extract themes, and surface what actually matters.

When it comes to tooling for qualitative responses, you have two main choices:

ChatGPT or similar GPT tool for AI analysis

You can export your survey data and paste it into ChatGPT or similar AI assistants. This gives you flexibility to ask questions, extract themes, or summarize content directly in chat. But it’s clunky—handling bulk survey exports isn’t user-friendly, managing context size limits is a pain, and there’s risk of data leaks if you’re handling sensitive attendee information.

It’s workable for small data sets or if you want quick takeaways, but isn’t ideal when you have many open-ended responses or need a repeatable process.

All-in-one tool like Specific

End-to-end tools like Specific are designed for this use case: You create conversational surveys, collect richer data with automatic AI follow-up questions, and get instant AI-powered analysis—no spreadsheets or manual reading required.

The value in Specific is all about the quality of insights and depth of analysis: The AI instantly summarizes qualitative responses from your Ask Me Anything Attendee survey about Expectations, pulls out key themes, and even lets you chat conversationally about the results (similar to ChatGPT, but custom-built for survey data). You can segment responses, check themes by attendee group, and manage the context sent to the AI for deeper dives.

If you want to see what this looks like, learn more about Specific’s AI survey response analysis feature, or check out the automatic AI follow-up questions to see how better-quality data is collected.

This isn’t just a promise—the broader market is moving here. A whole ecosystem of AI survey tools (like NVivo, MAXQDA, Delve, and more) are leveraging AI to automate thematic coding, sentiment analysis, and pattern recognition, massively improving efficiency and accuracy in qualitative research. AI tools now let you understand attendee expectations better than ever before. [1]

Useful prompts that you can use for Ask Me Anything Attendee Expectations survey analysis

Once you have your survey data in hand (whether in ChatGPT, Specific, or another AI-powered tool), the prompts you use make a big difference in the insights you get. Here are the ones I regularly reach for:

Prompt for core ideas: This generic-yet-powerful prompt is great for instantly surfacing the main topics from any large set of open-response data. Specific uses it under the hood, but you can also copy it into ChatGPT or other AI tools for similar results:

Your task is to extract core ideas in bold (4-5 words per core idea) + up to 2 sentence long explainer.

Output requirements:

- Avoid unnecessary details

- Specify how many people mentioned specific core idea (use numbers, not words), most mentioned on top

- no suggestions

- no indications

Example output:

1. **Core idea text:** explainer text

2. **Core idea text:** explainer text

3. **Core idea text:** explainer text

Always provide context with your prompt! The more information you give the AI about your survey’s purpose, the audience (like Ask Me Anything Attendees), and your goal (such as planning better content based on expectations), the more accurate and useful the AI’s summaries and suggestions will be. For example:

Here is survey data from attendees of an Ask Me Anything session, sharing their expectations for the event. Our goal is to identify the recurring themes and actionable takeaways that will help us improve future sessions for this audience.

Deep dives on a theme: Once you have your core ideas, dig deeper with follow-ups like:

Tell me more about “networking opportunities.”

Prompt for a specific topic: If you’re validating whether anyone mentioned a certain concern or suggestion, use:

Did anyone talk about technical difficulties? Include quotes.

Prompt for personas: Want to get a feel for distinct attendee types?

Based on the survey responses, identify and describe a list of distinct personas—similar to how “personas” are used in product management. For each persona, summarize their key characteristics, motivations, goals, and any relevant quotes or patterns observed in the conversations.

Prompt for pain points and challenges: This is a go-to for improvement-oriented surveys:

Analyze the survey responses and list the most common pain points, frustrations, or challenges mentioned. Summarize each, and note any patterns or frequency of occurrence.

Prompt for motivations and drivers:

From the survey conversations, extract the primary motivations, desires, or reasons participants express for their behaviors or choices. Group similar motivations together and provide supporting evidence from the data.

Prompt for sentiment analysis: Useful for understanding the general mood or satisfaction level:

Assess the overall sentiment expressed in the survey responses (e.g., positive, negative, neutral). Highlight key phrases or feedback that contribute to each sentiment category.

If you want to see practical examples of how to phrase your survey questions to get higher quality responses, check out this guide to the best questions for Ask Me Anything Attendee expectation surveys or generate a survey instantly using the AI survey generator for Ask Me Anything Attendee expectations.

How Specific analyzes qualitative data by question type

With Specific, every type of survey question is handled for the maximum clarity—saving you hours of manual digging. Here’s how it works:

  • Open-ended questions (with or without follow-ups): You get a concise summary of the core ideas across all responses AND from any targeted follow-up questions. This captures nuance and ensures you don’t miss unique perspectives from your Ask Me Anything Attendees.

  • Choices with follow-ups: Each choice has its own summary for associated follow-up responses, giving you a segmented look at how expectations differ across initial answers.

  • NPS: Feedback from detractors, passives, and promoters is summarized separately, so you see what high and low scorers expect going into the session.

You can do the same thing in ChatGPT or other AI tools, but it usually involves manual filtering and copy-pasting data per question—a hassle especially as your survey size grows.

If you’re interested in building a more efficient process, check out how you can quickly build an ask-me-anything attendee expectations survey that’s ready for immediate AI-powered insights.

How to handle context size limits in AI survey analysis

If you’re working with large surveys, every AI tool (from ChatGPT to industry-focused solutions) has a context size limitation—the AI can only “see” a finite chunk of data at one time. Too many responses? Some will get ignored unless you manage what’s being sent.

Specific out-of-the-box supports two approaches to tackle this:

  • Filtering: You can filter conversations by who replied to which questions or selected certain answers. This focuses the AI’s attention on just the answers you care about most, so nothing important gets lost.

  • Cropping: Limit the scope of analysis to only the most relevant questions. If, for example, you only want to analyze responses to “What do you expect from this event?” you can crop to that question and not waste context space on demographics or less relevant chatter.

When you use a general-purpose AI like ChatGPT, you’d need to do this filtering and manual copy-pasting yourself. Purpose-built tools do the heavy lifting for you—saving both time and your sanity. If you’d like to take this a step further, you can learn more about AI-driven survey management features such as the AI survey editor or try crafting bespoke surveys with AI.

Collaborative features for analyzing Ask Me Anything Attendee survey responses

Collaboration is often overlooked when analyzing expectations for Ask Me Anything Attendees, but it’s essential—especially when multiple stakeholders (organizers, moderators, or content teams) need to weigh in on findings and next steps.

With Specific, collaborative analysis is easy: You just chat directly with AI about your survey data. Each team member can spin up their own chat session, ask the AI different questions, and apply unique filters (such as only looking at responses from first-time attendees or people who left negative NPS feedback). It instantly shows who started each chat, so tracking who asked what, and reviewing insights is straightforward.

Identity and accountability in AI chat: Within every AI conversation, avatars identify who contributed each message. This removes confusion and keeps your survey analysis collaborative—but organized. If you want to see how those features look in practice, check out an interactive demo of AI survey collaboration.

No need to juggle comment threads or external docs: Keep the whole analysis workflow—prompting the AI, discussing results, and divvying up action items—inside one secure, purpose-built tool. That’s a step up from emailing spreadsheets around or copy-pasting results into Slack.

Create your Ask Me Anything Attendee survey about Expectations now

Turn feedback into action instantly: create expectations surveys that auto-analyze responses with AI, deliver rich attendee insight, and keep your entire team aligned—all in one place with Specific.

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Sources

  1. jeantwizeyimana.com. Best AI Tools for Analyzing Survey Data

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.