Survey example: Student survey about inclusion

This is an example of an AI survey about inclusion for students. Explore the survey and see how it works—see and try the example.

Creating effective student inclusion surveys is challenging—many fall flat or fail to capture the nuance of students’ real experiences.

At Specific, we’ve built tools that help you dig deeper with AI-driven, conversational surveys and smart analysis—raising the bar for student feedback.

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

Gathering genuine student feedback on inclusion is tough—traditional survey forms often feel one-sided, impersonal, and easy to abandon. Students sometimes give brief, unclear answers, or skip questions altogether, leaving gaps in your data. That’s where conversational surveys—especially those built with AI—step up as a game changer.

Conversational AI survey examples guide students through a friendly, chat-like interview. Instead of just ticking boxes, students feel engaged, heard, and supported. This dynamism matters, especially when discussing a nuanced topic like inclusion, where context shapes every answer. Research even shows that a sense of belonging tends to drop as students advance in school transitions, making relevant, engaging surveys imperative to uncover real insights [3].

Let’s look at how an AI survey builder for students compares to manual survey creation:

Why use AI for student surveys?

• Deeper insights. AI drives dynamic follow-up questions, helping students clarify their thoughts and reveal more detailed experiences.

• Higher response quality. The chat-style format feels approachable, so students reply more thoughtfully.

• Less grunt work. Instead of building forms from scratch, describe your goal and the AI survey generator creates your survey—then you can edit in seconds.

Specific delivers the best-in-class conversational survey experience—students and staff find the feedback process smooth, even enjoyable. If you want hands-on ideas, check out our tips on the best questions for a student inclusion survey.

Automatic follow-up questions based on previous reply

One of the powerful features in Specific is AI-driven follow-up questions. It means the survey doesn’t just move to the next question, it listens—probing in real time, just like a skilled researcher. This approach surfaces richer insights around inclusion and creates a truly conversational survey.

Contrast these two scenarios:

• Student: "Sometimes I feel left out at school."

• AI follow-up: "Can you share an example of when you felt left out? Was it during class, lunchtime, or another activity?"

Without targeted follow-ups, answers stay vague. That leaves you guessing—and might even mask hidden issues. With automatic AI follow-ups, you quickly get to the heart of students’ experiences. Considering that, in one PISA study, one-third of students reported not feeling they belonged at their school, prompting meaningful elaboration is critical for understanding and addressing the gaps [3].

This saves hours compared to sending emails back and forth after the survey finish. You can learn more about how this works in our feature guide: automatic AI follow-up questions.

Try generating a survey and see how natural the conversation feels. Thanks to real-time, contextual follow-ups, the AI survey example truly feels like a conversation—not a cold, faceless form.

Easy editing, like magic

Editing your survey is effortless. Rather than hunting down confusing settings or retyping questions endlessly, just describe what you want to change in chat—Specific’s AI survey editor handles the rest with expert polish.

Want to add a question about peer relations or clarify a prompt? Type your instruction and see the update in seconds. Since students’ needs and school climates change, having this flexibility is invaluable: the AI does the tedious work, so you focus on what matters—listening to students.

How to deliver your student inclusion survey

Specific supports two ways to share your survey:

• Sharable landing page surveys:

  Best for distributing your inclusion survey to a group of students via email, an LMS, or class website. Great for broad-reaching polls or when you need a standalone, secure page.

• In-product surveys:

  Ideal if your school or learning platform wants to embed the survey directly into a student-facing portal or app. This method allows for responsive, context-aware feedback while the experience is fresh, e.g., after students complete a lesson about diversity.

For student inclusion topics, landing pages are often the fastest way to reach large groups, but in-product delivery unlocks context-specific insights right inside your school’s digital environment. Pick whichever matches your distribution plan and student tech habits.

AI-powered survey analysis for actionable insights

Once responses roll in, Specific’s AI survey analysis turns hours of work into minutes. Instantly, the system summarizes what students are really saying, detects key themes, and highlights inclusion challenges—without spreadsheets or tedious manual review. Features like automatic topic detection and our chat-with-AI engine let you dig into results or ask follow-up questions about the data—no analyst required.

If you want to learn more about how simple and powerful this kind of analysis can be, check out our hands-on guide on how to analyze student inclusion survey responses with AI or dive deeper into the tech with our AI survey response analysis feature page.

See this inclusion survey example now

Jump in and explore this live student inclusion AI survey example—experience how conversational AI, smart follow-ups, and instant analysis unlock deeper, more actionable student feedback.