Survey template: College Undergraduate Student survey about academic advising

Create custom survey template by chatting with AI.

College undergraduate student feedback on academic advising is too important to leave to clunky forms or manual surveys. If you want authentic, actionable input, use and try this template—Specific’s AI survey tool gets you real insights, faster and smarter.

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

Getting meaningful academic advising feedback from college undergraduate students is tougher than it looks. Traditional surveys feel rigid and impersonal, leading to generic or incomplete responses. When we built out Specific’s AI survey template for this challenge, we made sure every part was crafted for real conversation and deeper understanding.

A conversational survey goes beyond multiple-choice and checkboxes. It feels like an actual chat—questions are tailored, follow-ups are smart, and the entire experience adapts to the respondent. Our AI survey generator creates this format instantly. Instead of laboriously scripting each question and logic branch, you start with your topic and let AI handle the structure. The result? The survey reacts to the person, not just to their answer.

When universities use old-fashioned survey forms, students often zone out. But with AI-generated conversational surveys, you hear more context, motivation, and even subtle frustration or satisfaction cues. Research shows that AI-powered chatbots in higher education drive better engagement, leading to more completion and higher-quality responses from students—just ask Georgia State, whose chatbot helped boost their graduation rate by 23%[1]. Even the way students answer shifts, with AI conversational surveys prompting clearer, more informative, and more relevant feedback over legacy forms[3].

Manual Surveys

AI-Generated Surveys (Conversational)

Static questions—one-size-fits-all

Dynamic, adaptive questions tuned to responses

Time-consuming to build and update

Instant setup, easy edits, expert logic

Bland, impersonal experience for students

Feels like chatting—engaging, familiar, fun

Poor follow-up on unclear answers

Automatically asks smart clarifying questions

Fragmented data

Rich insights, analyzed by AI with summaries

Why use AI for college undergraduate student surveys?

  • Students are already using AI in their studies—80% use ChatGPT or similar for writing help[6]. Our survey feels natural, not foreign.

  • The conversation format boosts motivation and answer quality, which matters when evaluating academic advising[3].

  • Specific AI survey templates save hours—you don’t have to write, edit, and troubleshoot every question.

  • We designed Specific for the smoothest possible feedback process, making responding easy and intuitive on any device.

If you want tips on the best questions to ask college undergraduates about academic advising, we have expert guides to help you get started. Or if you’re interested in building a survey for another purpose, check out our AI survey generator.

Automatic follow-up questions based on previous reply

Real feedback comes when you dig a little deeper. One of the standouts of Specific is how our AI generates instant, contextual follow-up questions for every answer, making your academic advising survey feel like a real conversation with a human who cares.

Take this scenario: You ask students if their advisor provided effective guidance. Without follow-ups, you might get a reply like:

  • College undergraduate student: “It was okay.”

  • AI follow-up: “Thanks for sharing! Can you tell me a specific situation where you felt your advisor's guidance helped (or didn’t help) you make an important academic decision?”

Without that second, clarifying question, you’re left with a vague answer. With Specific, you dig into the details, picking up the nuances and unlocking richer, actionable insights. And if something in the first reply doesn’t make sense or feels incomplete, the AI knows to nudge for a bit more.

Research backs this up: AI-driven, conversational survey platforms elicit deeper and more specific responses—students actually explain what worked or didn’t, rather than just checking a box[3]. Want to see the difference? Try generating a survey now and watch the follow-ups work in real time. More on how these work here.

This follow-up mechanism is the heart of a conversational survey—it transforms the static experience into a flowing conversation with the student.

Easy editing, like magic

Once you generate your academic advising survey template, you’ll probably want to tweak things—maybe add a unique question, rephrase something, or adjust the tone to fit your campus culture. Specific makes this feel like chatting with a co-pilot. You tell it the change you want (“Add a question about diversity,” “Make Q2 more concise,” etc.), and the AI survey editor handles the details instantly, using expert best practices.

No tedious back-and-forth editing in a form builder, no worrying about logic errors or flow. Edits literally take seconds and feel like magic. The experience is so effortless that once you try it, there’s no going back. More on this workflow here: AI survey editor.

Flexible delivery: share with students or embed in your software

When you’re ready to reach college undergraduates, you need delivery options that meet them where they are. With Specific, you have two flexible methods:

  • Sharable landing page surveys

    • Send a unique survey link via email, canvas, WhatsApp group, flyers, or your college website.

    • Great for getting student input before big advising changes, evaluating new advising tools, or running perception studies at scale.

  • In-product surveys

    • Embed as a widget in your advising portal, learning management system, or orientation app.

    • Best if you want immediate, in-context feedback from students as they interact with advising resources—while the experience is fresh.

Depending on your advising setup, both approaches can work—sharable links for cross-campus outreach, and in-product widgets for targeting feedback in the moment. There’s no wrong answer; we show you how to create a college undergraduate student academic advising survey for either approach.

AI-powered survey analysis for real academic advising insight

Collecting feedback is just step one—the real value is in analyzing and acting on student insights. Specific’s AI survey analysis instantly pulls out key themes and summarizes what undergraduates are saying about academic advising, without manual reading or second-guessing.

You get automatic topic detection, smart summaries, and even the ability to chat with AI about your results—so you can ask questions like “What concerns are most common this semester?” or “How do first-years describe their advising experience?” AI-powered tools turn dozens or hundreds of qualitative replies into clear, actionable recommendations. See our practical guide on how to analyze college undergraduate student academic advising survey responses with AI for more tips on digging into feedback with zero spreadsheet pain.

Use this academic advising survey template now

Don’t miss out on high-quality, actionable feedback from your students—generate, customize, and launch your own academic advising survey with Specific’s conversational AI template, and start building a better advising experience right away.

Try it out. It's fun!

Sources

  1. Axios. Georgia State’s AI chatbot experiment lifts graduation rates.

  2. EAB. Survey finds higher ed leaders embracing AI for student success.

  3. arXiv.org. Research on conversational surveys delivering higher quality responses vs. traditional surveys.

  4. MDPI. AI-generated recommendations in academic advising study.

  5. Inside Higher Ed. Survey: College students enjoy using generative AI for learning.

  6. UIC—Learning Innovation. Report on student attitudes and adoption of AI in academia.

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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.