Survey example: Student survey about assessment fairness

Create conversational survey example by chatting with AI.

This is an example of an AI survey about assessment fairness for students. If you’re interested in better understanding student perspectives on fair assessment, see and try the example—it might change how you approach feedback collection.

It's remarkably easy to get bogged down or stuck when trying to create effective student assessment fairness surveys. Open-ended questions fall flat, people skip questions, or answers just don’t get to the “why” behind the feedback.

At Specific, we've built everything for conversational, AI-driven surveys that go way deeper than forms. All tools and features here are part of the Specific platform—crafted to make advanced feedback accessible for everyone.

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

Too often, traditional student assessment surveys feel like an interrogation. Students speed through tick boxes or skip open-ends, and as a result, the insights barely scratch the surface. That’s a big problem when you’re trying to understand if assessments are truly fair, not just on the surface, but in students’ eyes—the only perspective that actually counts.

This is where an AI survey example stands out. Instead of a boring, rigid form, a conversational survey adapts in real time. It feels like a real chat, prompting follow-up questions, clarifying points, and encouraging students to elaborate—unlocking the honest feedback you actually need.

Let’s break down how AI-generated surveys stack up against the old manual approach:

Manual Surveys

AI-Generated Conversational Surveys

Static questions, no follow-ups

Dynamically generated follow-up questions tailored to each response

Easy to ignore or skip questions

Keeps engagement high with natural, chat-like flow

Low completion rates (45-50%)

Much higher completion rates—often 70-80% [2]

Canned responses, little context

Rich, contextual insights rooted in real student experiences

And the numbers back it up: AI-powered surveys have been shown to increase response rates by up to 25%, leading to noticeably more reliable feedback for faculty and leadership [3].

Why use AI for student surveys?

  • Boosts participation by making surveys feel like a conversation, not a checkbox exercise

  • Uncovers the “why” behind scores or ratings

  • Adapts on the fly to the respondent’s answers for deeper insights

Specific is recognized for delivering the best-in-class user experience for conversational surveys—not just slick interfaces, but actual engagement that students appreciate and admins can trust. If you want to compare questions or customize your topic, check out the best questions for student assessment fairness surveys or how to easily create a student survey about assessment fairness.

Automatic follow-up questions based on previous reply

Here’s what sets our AI survey example apart: Specific doesn’t just ask static, one-size-fits-all questions. It listens, understands, and then digs deeper—with smart, real-time follow-up questions that surface insights an ordinary form would miss. We built this because we’ve all seen what happens when feedback lacks context; it leaves you guessing at what students actually mean.

Without follow-up questions, feedback can look like this:

  • Student: "The grading didn’t feel fair."

  • AI follow-up: "Could you share a specific example of what felt unfair about the grading?"

  • Student: "The instructions were unclear."

  • AI follow-up: "What part of the instructions caused confusion for you?"

With automatic follow-ups, you move past vague responses—and get actionable insights, quickly and naturally. Imagine having to send a dozen emails to clarify every survey answer, when AI can do this instantly. Curious how this feels? Try generating a survey and watch the AI do its thing—or explore our automatic follow-up questions feature in more depth.

The result: each survey becomes a genuine conversation, the hallmark of a true conversational survey.

Easy editing, like magic

With Specific, survey editing is as simple as chatting. Want to add a question about online vs. in-person assessments, adjust tone, or fine-tune a response prompt? Just tell the AI editor in plain language and the changes are made—expertly, automatically, and within seconds. The days of fiddling with forms and conditional logic are over; learn more about this on our AI survey editor page.

Survey delivery: landing page or in-product

It’s incredibly easy to launch and distribute your student assessment fairness survey with Specific. The platform offers:

  • Sharable landing page surveys:

    Perfect for sending surveys via email or sharing in a student portal. This works great for course evaluations or gathering feedback across multiple classes or universities.

  • In-product surveys:

    Embed conversational surveys directly into student apps or learning management systems—excellent for capturing contextual feedback right after grades are published or an assessment is completed.

Students are more likely to engage when the survey experience meets them where they are—something a conversational AI survey makes seamless.

Analyze survey responses instantly with AI

Once feedback starts rolling in, the real power of Specific shines. AI survey analysis instantly summarizes every response, finds key topics (like “grading transparency” or “assessment clarity”), and gives you automated survey insights—all without the headaches of spreadsheets or manual coding. Plus, you can chat directly with the AI to explore findings in depth. For a full walkthrough, see our guide on how to analyze student assessment fairness survey responses with AI, or explore the dedicated AI survey response analysis page.

See this assessment fairness survey example now

If you want clearer, deeper, and more actionable student insights, see this conversational survey example—it adapts, follows up, and distills answers faster than anything out there. Don’t just collect checkboxes. Get real understanding the first time.

Try it out. It's fun!

Sources

  1. Times Higher Education. Can asking students’ perception of assessment improve fairness?

  2. SuperAGI. AI Survey Tools vs Traditional Methods – A Comparative Analysis of Efficiency and Accuracy

  3. SuperAGI. How AI-powered tools are revolutionizing feedback collection

Adam Sabla - Image Avatar

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.