Survey example: College Undergraduate Student survey about diversity and inclusion

This is an example of an AI survey about diversity and inclusion crafted for college undergraduate students—see and try the example to experience every question live, just like a real respondent would.

Creating effective college undergraduate student diversity and inclusion surveys is tough. Many surveys fall flat because they’re impersonal, unclear, or too tedious, leaving colleges without the meaningful insights needed to make real improvements.

At Specific, we’re obsessed with making sure you can build better surveys—our conversational AI survey tools do the heavy lifting, so you spend less time guessing and more time learning what truly matters.

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

When you want honest, clear insight from college undergraduates about diversity and inclusion, traditional surveys often miss the mark. They’re rigid, generic, and rarely capture the story behind a student’s response. Many students experience “survey fatigue” and just click through to get it over with.

A conversational survey—especially one powered by AI—flips the script. Instead of bombarding undergrads with endless, dry questions, the survey feels like a real chat: it adapts, asks smart follow-ups, and actually engages students. Imagine if your feedback form acted like a curious researcher, not a dull checklist.

Specific’s AI survey generator is designed to create these experiences. It makes surveys that feel like talking to someone who listens and cares—so students feel heard, not just counted.

Why use AI for college undergraduate student surveys?

• Engagement: Conversational AI makes surveys more inviting, so students actually want to respond.

• Depth: Automated probing uncovers what really matters most about campus diversity and inclusion.

• Speed: You get expert-level surveys and usable results, fast—without long hours building or analyzing manually.

• Impact: Analysis shows meaningful themes colleges can act on, instead of just percentages and charts.

With nearly 1 in 4 students (23%) ranking student body diversity as one of the most important factors when choosing a college [1], creating AI-powered conversational surveys is a smart way to tap into what your undergraduates value most. As the higher education landscape shifts and over half of college students (55%) would even consider transferring if DEI initiatives were abolished [1], getting real feedback is more crucial than ever.

At Specific, we build every detail so it’s easy for you and enjoyable for students. Clean chat UX, sharp mobile experience, seamless on any device—that’s how our conversational survey platform stands out. Curious about the best survey questions for this topic? Check out our deep dive on best questions for college undergraduate student diversity and inclusion surveys.

Automatic follow-up questions based on previous reply

Specific’s conversational surveys don’t just stop at the surface. Our AI listens to every undergraduate’s reply and, in real time, asks the right follow-up questions based on what was really said. This isn’t just a gimmick—it fills in context and pulls out richer, more nuanced insight than a static survey ever could. For colleges, that means you hear not just what students think about diversity and inclusion, but why.

Manual surveys leave a lot on the table, requiring endless email follow-ups to clarify what someone really meant. Automated follow-ups do that work as you collect responses, saving time and uncovering drive factors efficiently. Here’s what happens without and with AI follow-ups:

• Student: “I don’t always feel welcome in group projects.”

• AI follow-up: “Can you describe a recent experience that made you feel this way? Was it related to your background or other factors?”

Without this conversational probing, ambiguous answers like “I’m not sure how inclusive campus events are” never get clarified, leaving gaps in your data. Automated follow-ups close those gaps instantly. If you want to see just how powerful this feels in action, try generating an AI survey and experience the difference.

When follow-ups make a survey feel like a real conversation, we call that a truly conversational survey—one that doesn’t just collect responses, but uncovers stories. Learn more about how our AI-powered follow-up questions for surveys work.

Easy editing, like magic

Survey editing with Specific is fast and frictionless—no clunky form builders or tedious reworking. You simply chat with the AI survey editor and tell it what you want changed. Add, tweak, or remove questions, update tone, or clarify intent in seconds. The AI handles expert logic and best practices behind the scenes, so your college undergraduate student diversity and inclusion survey always feels on-point and professional.

How to deliver your survey to undergraduate students

Delivering your diversity and inclusion survey is flexible—and designed to fit how students actually engage today. With Specific, you have two proven methods:

• Sharable landing page surveys: Perfect for circulating via college email, group chat, or social media. Great for all-campus initiatives, DEI events, or when you want a link anyone can open instantly.

• In-product surveys: Embed the survey directly inside your student portal, campus app, or online platforms. Ideal for collecting feedback while students register for classes, log in for resources, or join virtual campus experiences.

For diversity and inclusion topics, a sharable landing page survey is usually the best fit—it can be distributed broadly, reaching the wide range of undergraduates that make up today’s diverse campuses. But if you want continuous feedback in the moments that matter, in-product surveys are unbeatable for capturing context and quick impressions.

If you want to see how to create a strong survey from scratch, see our guide on how to create college undergraduate student diversity and inclusion surveys.

AI survey analysis: instant insights, zero manual work

After collecting student feedback, analysis is where the magic happens. Specific’s AI-powered survey response analysis auto-summarizes every response, detects key themes, and highlights what matters—no spreadsheets, no manual coding. Want to dig deeper? Chat directly with AI about the results and filter by themes, emotion, or even specific subgroups. For a step-by-step, check out our detailed breakdown on how to analyze college undergraduate student diversity and inclusion survey responses with AI.

You’ll save time and get answers that matter—insightful, actionable, and ready to share with your DEI teams and campus leaders.

See this diversity and inclusion survey example now

Experience a smarter, friendlier way to understand college undergraduate student perspectives on diversity and inclusion—see the AI survey example and uncover depth you’ve never reached with traditional survey tools.