Survey example: Student survey about peer mentoring

This is an example of an AI survey about Student Peer Mentoring—see and try the example to experience how conversational surveys collect richer, more actionable insights, faster.

Creating effective Student Peer Mentoring surveys often feels like a struggle: generic questions miss the mark, responses are superficial, and you rarely get the actionable feedback you’re after.

Specific is the go-to authority for building conversational, AI-powered surveys that actually work. All examples on this page are built with Specific so you can see what best-in-class feedback looks like.

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

Gathering candid feedback for peer mentoring programs is tough. Traditional survey forms are rigid and feel impersonal—students lose interest, give short answers, or don’t bother to finish them. That’s the pain point that drags results down.

Conversational surveys—the kind powered by AI—work differently. They adapt in real time, following up like a human interviewer. That’s what makes an AI survey example so much more successful for students: suddenly, the process feels like a chat, not another boring form.

What’s the difference? See for yourself:

Why use AI for Student surveys?

• AI surveys have completion rates between 70% and 90%, compared to only 10–30% for traditional surveys—a massive improvement for student engagement [1]

• Chat-like format helps students open up, especially on topics like peer mentoring where trust and nuance matter

• No more endless edits; just describe what you want, and AI handles the rest

Specific delivers the best-in-class experience for both survey creators and respondents—effortless setup, natural conversations, and feedback that actually drives your mentoring programs forward.

If you want to learn more about what to ask, check out the best questions for student peer mentoring surveys or dive into how to create a student survey about peer mentoring in minutes.

Automatic follow-up questions based on previous reply

What makes a conversational AI survey example next-level? It’s the automatic follow-up questions—the secret ingredient to richer, more complete student feedback.

Specific’s AI acts like a smart interviewer. It listens, interprets what the student says, and asks sharp, context-aware follow-ups right there in the survey. This saves time you’d otherwise spend on endless back-and-forth emails or chasing unclear answers after the survey closes.

Here’s what happens when surveys don’t bother with follow-ups:

• Student: “The mentoring program was helpful.”

• AI follow-up: “That’s great to hear. Can you share a specific way your mentor helped you adjust to college?”

Without this, you’re left with vague responses that don’t give you anything to act on. Students often want to share more—they just need the right prompt at the right moment.

These automated follow-up questions transform survey feedback collection. Try out a survey now and experience how each student’s story unfolds in more depth than ever. See more about how this feature works on automatic AI follow-up questions.

Because of these follow-ups, every survey feels like a two-way conversation—a real conversational survey.

Easy editing, like magic

Editing your AI survey example is just as seamless as having a chat. With Specific’s AI survey editor, you simply tell it what you want to change: add a question, tweak the language, dig deeper on a topic, or remove a section. In seconds, your survey updates—no wrestling with confusing logic builders or manual copy-paste. The AI takes care of all the hard work, letting you focus on what matters: smart questions and actionable insights.

Simple ways to deliver student peer mentoring surveys

You can deliver your Student Peer Mentoring survey exactly where students are:

• Sharable landing page surveys—Perfect for sharing by email, student portals, or class groups. Students just click the link and start chatting. This method works great for cohorts, clubs, and mentoring program participants across different classes.

• In-product surveys—Seamlessly embedded in your school’s web platform, student portal, or LMS. Instantly reach students while they’re logged in, collecting authentic feedback in context after a mentoring session or during routine check-ins.

For student peer mentoring, landing page surveys are especially effective—easy to distribute and accessible on any device. But if your school has a student dashboard, in-product surveys reach students exactly when their mentoring experience is most top-of-mind.

Effortless AI-powered analysis of student survey responses

After responses roll in, Specific’s AI survey analysis makes sense of everything instantly. The platform summarizes responses, highlights key themes, and delivers automated survey insights with zero spreadsheets required. You can even chat with the AI about your results—ask for trends, compare groups, or drill down to individual feedback details. Learn more about how to analyze Student Peer Mentoring survey responses with AI or try AI-powered survey analysis hands-on.

See this Peer Mentoring survey example now

Try this conversational Peer Mentoring survey and see how AI-driven follow-ups, chat-like feedback, and instant analysis set your next survey apart—generate actionable, honest feedback with less work, every time.