Survey example: Student survey about dining services

Create conversational survey example by chatting with AI.

This is an example of an AI survey about Dining Services for Students. You can see and try the example now.

Creating effective student dining services surveys is tough—open-ended forms are tedious, and feedback often ends up scattered or shallow.

At Specific, we build tools like this conversational survey that make gathering student dining feedback smarter and easier.

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

Getting genuine feedback from students about dining services is a challenge. Traditional surveys often face low response rates, one-word answers, and incomplete insights. We all know how easy it is for students to skip form questions or lose interest halfway. That’s where an AI survey example—a conversational, AI-powered survey—really shines.

Unlike old-school forms, a conversational survey interacts like a real chat. The AI asks questions naturally, listens for context, and adapts its follow-ups based on each student’s unique responses. This not only creates a more engaging experience for respondents, but also leads to higher completion rates and richer data.

Manual vs. AI-generated surveys for students:

Feature

Traditional Survey

AI-Powered Conversational Survey

Completion Rate

10-30%

70-90%[1]

Quality of Feedback

Often brief, lacks follow-up

Deeper insights, smart follow-up questions

Respondent Experience

Impersonal, static form

Conversational, engaging chat

Analysis Speed

Manual, slow

Automated, instant[2]

Why use AI for student surveys?

  • Real engagement: Feels like texting, not ticking boxes

  • Adaptive: Responds to students’ actual words, so you don’t miss what matters

  • Sharper insights: AI-powered analysis quickly finds what’s working—and what needs fixing

Specific’s AI survey builder delivers best-in-class conversational survey experiences. Building and launching a survey like this one feels effortless for creators, and answering one is as easy as chatting for respondents. Want inspiration for survey questions? Check out our guide on best questions for student dining surveys.

Automatic follow-up questions based on previous reply

We’ve all seen student feedback blur into generic answers. With Specific, AI dynamically asks smart follow-up questions based on each reply, just like a human researcher would. This lets you uncover what actually drives satisfaction—whether it’s food quality, cleanliness, or service quality.

Imagine the difference:

  • Student: “It’s okay, I guess.”

  • AI follow-up: “Could you share more about what could make your dining experience better?”

  • Student: “I don’t like the food.”

  • AI follow-up: “Is it taste, variety, or something else that’s missing for you?”

Without these automated follow-ups, responses would stay vague or force you to follow up by email—a huge time sink. Instead, AI clarifies and probes in real time, giving you richer insights instantly. You can experience this for yourself in our survey example, or see the automatic follow-up questions feature in action.

These follow-ups transform the process into a genuine conversation—a true conversational survey.

Easy editing, like magic

Editing your survey should never be a chore. At Specific, you just tell the AI what you want—change a question, add a topic, or tweak the tone—and it instantly updates your survey, using expert knowledge of research best practices. No more wrestling with form fields or logic trees; all edits happen in seconds via simple chat. Explore more on how we make this effortless with the AI survey editor.

Flexible delivery: landing page & in-product

The best survey is one your students will actually take. You can deliver surveys in two seamless ways:

  • Sharable landing page surveys – Perfect for campus-wide sends: email a link, add to a newsletter, or post on a student portal. Great for reaching all students at once and collecting broad feedback on dining services.

  • In-product surveys – Plug into your student dining app, web portal, or meal-ordering system. This method reaches students in context, so you get immediate, fresh feedback right after they’ve used the dining service.

For most campuses, a sharable landing page gets the broadest reach—but in-product surveys are unbeatable for capturing real moments and context.

AI-powered analysis: instant insights, no spreadsheets

Once you’ve run your survey, that’s where Specific’s AI survey analysis feature kicks in. Our AI instantly summarizes responses, finds key topics (like food variety or ambience), and turns hundreds of replies into actionable themes—no spreadsheet wrangling. You can even talk directly to the AI for follow-up questions or segment by specific groups, making automated survey insights faster and more useful than manual methods. Learn more about how to analyze student dining services survey responses with AI.

See this dining services survey example now

Experience how a conversational AI survey uncovers deeper student feedback about dining services. Try this example to see richer insights, faster analysis, and seamless editing—all powered by Specific.

Try it out. It's fun!

Sources

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

  2. SEO Sandwitch. AI Customer Satisfaction Stats

  3. HRMARS. A Study on Students’ Satisfaction towards On-Campus Foodservice: A Case of UITM Penang Students

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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.