Survey example: College Undergraduate Student survey about academic advising

Create conversational survey example by chatting with AI.

This is an example of an AI survey about academic advising for college undergraduate students—see and try the example to experience how effortless collecting deeper feedback can be.

We get it: creating an effective college undergraduate student academic advising survey can feel overwhelming, especially when you want real insights, not just checkboxes.

All tools described here are part of Specific, a leading platform for conversational and AI-powered surveys that simplify feedback—whether you’re optimizing advising programs or exploring student experience.

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

Traditional college undergraduate student academic advising surveys often struggle with low completion rates or unhelpful, generic answers. Manual survey builders eat up time without guaranteeing useful feedback. This is where AI survey generators change the game. With AI, conversational surveys adapt to respondents in real time, making questions more relevant, engaging, and personalized for each college undergraduate student.

Completion rates for AI-powered surveys can reach 70-80%—much higher than the 45-50% typical for static surveys, thanks to adaptive conversation and a more intuitive format. That’s a big deal if you want to improve advising based on what students actually need, not just what they click through. [2]

Manual Survey

AI-Generated Conversational Survey

Time-consuming, static questions

Fast to generate, adapts questions in real time

High drop-off, generic answers

Higher engagement, richer insights

Often needs manual follow-up

Automated probing, immediate clarifications

Why use AI for college undergraduate student surveys?

AI survey examples go far beyond static forms. For surveys about academic advising, this means:

  • Personalized experience: Each student's answers guide the next question—no more “one-size-fits-all” forms.

  • Higher quality data: Follow-ups clarify meaning and probe for context, reducing misleading or incomplete responses.

  • Time savings: Automating survey creation removes the biggest bottleneck in gathering real feedback from college undergraduates.

Specific delivers a best-in-class user experience for conversational surveys. Whether you’re a research lead or an academic advisor, the process feels natural—like chatting with a smart assistant—so you get honest, rich feedback from students. Want to see which questions work best? Check our guide on the best questions to ask in a college undergraduate student academic advising survey.

Automatic follow-up questions based on previous reply

We’ve all seen incomplete or ambiguous survey answers that leave you guessing. Specific’s AI doesn’t just record replies—it asks smart follow-ups on the spot, just like an expert interviewer. This makes your survey truly conversational and helps uncover the motivations, frustrations, or needs behind a college student’s answer.

  • Student: "The advising hours were okay."

  • AI follow-up: "Can you share a specific example of when advising hours met—or didn't meet—your needs?"

  • Student: "I sometimes struggled to find my advisor."

  • AI follow-up: "What made it difficult to find your advisor—was it lack of information, limited slots, or something else?"

Without these follow-ups, you risk acting on vague or incomplete data. In fact, 70% of traditional survey respondents have admitted providing false or misleading information—often because the questions lack clarity or context. [4]

Try generating a survey and experience how dynamic follow-up questions uncover real insights. These are more than just forms—they create a true conversation between your survey and each student. That’s what makes it a conversational survey.

Easy editing, like magic

Editing a college undergraduate student academic advising survey with Specific is refreshingly simple. You just tell the AI editor in plain language what needs changing—maybe about question tone, adding a follow-up, or revising a prompt. The AI instantly updates the survey, drawing on expert knowledge, so you spend less time fiddling with forms and more time acting on feedback. Learn how the AI survey editor works.

Survey delivery: landing pages & in-product options

Reaching college undergraduate students is flexible with Specific. Choose the method that fits your context:

  • Sharable landing page surveys—perfect for sending links over email, putting in a class announcement, or posting on your academic portal. Great for mass feedback after advising sessions or mid-year check-ins.

  • In-product surveys—embed a conversational survey directly into your student portal or course management system. Capture feedback while the advising experience is still fresh, right where students interact daily.

For academic advising, combining both can maximize reach: send a landing page survey after advising week, and use in-product surveys to grab timely feedback after each appointment.

AI-powered survey analysis—instant insights

Cut out spreadsheets and endless manual reviews. With Specific, AI-powered analysis summarizes every response, detects key themes, and turns conversational feedback into clear, actionable insights—making AI survey analysis easy for academic advising surveys. Features like automated topic detection, instant summaries, and the ability to chat with AI about survey results mean you always know where to focus next. See more on how to analyze college undergraduate student academic advising survey responses with AI for a deep dive. For more, check AI survey response analysis tools that make this possible.

See this academic advising survey example now

Don’t wait—see how effortless it can be to generate actionable insights from real conversations with students using Specific’s AI-driven academic advising survey. Experience survey creation, adaptive probing, and deep analysis all in one place.

Try it out. It's fun!

Sources

  1. King Saud University Study. 57% of students satisfied with academic advisor availability.

  2. SuperAGI. AI-powered surveys achieve 70-80% completion vs. 45-50% for traditional surveys.

  3. TheySaid.io. AI-driven tools can reduce abandonment rate to 15-25% vs. 40-55% for traditional surveys.

  4. SuperAGI. 70% of survey respondents report giving false or misleading information in traditional surveys.

  5. McKinsey via SuperAGI. 83% of companies see AI as a top business priority.

  6. Deloitte via Psico-Smart.com. AI analytics can boost survey response rates by 30% for employees.

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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.