Survey example: College Graduate Student survey about research resources

This is an example of an AI survey for college graduate students about research resources—see and try the example to experience how you can uncover real insights quickly.

Creating effective college graduate student research resources surveys is tough: traditional forms can feel tedious, and open-ended responses often lack context.

Specific focuses on smarter, AI-powered surveys. All the survey tools and features on this page are built by Specific, offering a best-in-class approach to collecting meaningful student feedback.

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

Anyone who’s ever built a college graduate student survey knows the pain: typical forms drag, answers are vague, and follow-up interviews take extra time. The promise of an AI survey generator is to change that, so collecting and understanding research resource feedback from graduate students actually becomes engaging—and results in richer context.

Here’s how it works: Instead of static forms, conversational AI surveys feel like a human-led interview. As you build, AI helps you phrase sharp, relevant questions. For students, it feels like chatting, not form-filling—a format proven to boost response rates and quality.

We’ve seen a massive shift to AI usage in higher education—86% of students now use AI in their studies, with 54% engaging with it at least weekly [1]. Specific meets students where they are: with mobile-first, chat-based surveys that mirror the tools they’re already comfortable with, like ChatGPT and Copilot.

Why use AI for college graduate student surveys?

• Removes guesswork from question design

• Makes the process more approachable for time-crunched grad students

• Delivers a modern, mobile-friendly interaction—boosting engagement

• Analyzes rapidly, so you get actionable results while they're relevant

Specific’s conversational surveys are a step-change from old school forms—whether you want to create a graduate student research survey in minutes, or simply make giving and receiving feedback a breeze. Want a custom survey about a different topic? Try the AI survey generator.

Automatic follow-up questions based on previous reply

The secret sauce of great results? Automated AI follow-ups. Specific’s AI doesn’t just stop at the first answer: it asks smart, context-driven questions in real time, just like a strong researcher would. That means you collect every necessary detail—without chasing people by email or clarifying cryptic replies after the fact.

Without follow-ups, feedback from a college graduate student can look like this:

• Graduate student: “Library access is okay, but could be better.”

• AI follow-up: “What improvements would make library access more useful for your research workflow?”

The difference is night and day. Pure open-ended forms leave you with vague results; a conversational AI survey example gives you depth where you need it, automatically. Try generating a survey and see how these automatic follow-up questions work in practice.

These smart follow-ups transform the survey into a true conversation—making it a conversational survey that adapts and explores, not just collects.

Easy editing, like magic

Want to tweak your research survey? With Specific, editing is conversational too. You just tell the AI survey builder what you want changed—like “Add a section about digital access barriers” or “Rephrase questions for a more empathetic tone”—and it instantly updates your survey, using expert knowledge of both your student audience and research resources domain. No more endless rows of editing options: changes happen in seconds with guided AI precision. Try the AI survey editor for yourself.

Flexible delivery: reaching students where it matters

You’ve got two super-efficient ways to deliver your survey and reach grad students where they’ll actually respond:

• Sharable landing page surveys: Great for distributing by email, student newsletters, social channels, or academic portals. Perfect if you want to invite many graduate students to give feedback on research resources from any device or location.

• In-product surveys: Embed the conversational survey directly inside a campus app, library web portal, or research tool. Ideal for catching students in the flow of using research resources—when their experience is most fresh and honest.

For graduate research resource feedback, think about your audience’s habits: landing pages are accessible, while in-product deployments can catch insights right where students engage with research services.

AI-powered survey analysis, zero spreadsheets required

With Specific, the work doesn’t end with collecting responses. Our AI survey analysis engine instantly summarizes all your open-ended answers, flags recurring themes, and delivers actionable insights—no spreadsheet clean-up or manual review needed. Features include automatic topic detection, drilling down into sentiment, and chatting directly with AI about your results.

If you want a deep-dive, here’s a full guide on how to analyze college graduate student research resources survey responses with AI to make sense of everything you’ve collected.

See this research resources survey example now

Get inspired by a real, ready-to-use AI survey example for grad students—see how fast you can generate meaningful, actionable research resource insights, complete with automated follow-ups and effortless AI-powered analysis. Try it and experience the future of feedback.