Survey example: Online Course Student survey about technical support

Create conversational survey example by chatting with AI.

This is an example of an AI survey for online course students about technical support—see and try the example.

Building an effective online course student technical support survey is tough, especially when you need detailed feedback that’s actually useful, not just generic complaints or vague answers.

All the tools used here are part of Specific, the conversational survey platform built for interactive and actionable insights, trusted for expert-made survey experiences.

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

Anyone who’s tried collecting honest, deep feedback from online course students about technical support knows it’s a challenge. People often give short replies, or worse, abandon surveys halfway. It’s usually because old-school survey forms feel tedious and impersonal—click, check, next, repeat. That leaves you guessing about what’s really going on.

Here’s where using an AI survey generator changes the game. Instead of boring forms, it creates a chat-like, conversational survey that feels natural to answer (especially on mobile). That means more students finish, and their answers actually make sense. With AI, surveys adapt in real time—so if a student says, “I got stuck logging in,” the survey doesn’t just collect that; it asks, “What happened?” or, “Did you find a way around it?”, digging deeper for context.

Manual Survey

AI-generated Conversational Survey

Rigid, fixed questions

Adapts follow-ups to each answer

Tedious and repetitive

Feels like a natural chat

Lower completion rates (10-30%)

Higher completion rates (70-90%) [3]

High abandonment (40-55%)

Low abandonment (15-25%) [3]

Why use AI for online course student surveys?

  • Higher engagement: AI-powered surveys keep students interested, so you get more (and better) responses.

  • Better answers: Chat-like format encourages honest, specific feedback—not just “Yes/No.”

  • Less dropout: As AI adapts to how people answer, they’re less likely to quit halfway through.

There’s hard data to back this up: AI survey example completions sit between 70-90%, compared to just 10-30% for old methods, and abandonment drops by more than half. [3] That means way more insights in less time, with less hassle.

Specific has focused on perfecting this conversational experience, so both students and survey creators enjoy the smoothest feedback interactions possible. If you want to go deeper into smart survey design, check out best questions for online course student technical support surveys or how to create an online course student technical support survey in minutes.

Automatic follow-up questions based on previous reply

It’s not just about collecting answers—it’s about asking the right follow-ups at the right time. Specific’s AI conversational survey example automatically digs deeper based on a student’s previous reply, mimicking how a real expert would run an interview. This is the secret to actually understanding what’s going wrong or right in your course’s technical support.

No more chasing people via email to clarify what they meant. The AI instantly follows up in real time, gathering fuller context from each student while the details are fresh and motivation is high. The result? Richer, more actionable insights with less back-and-forth and zero manual effort.

Consider how it usually goes:

  • Online course student: “I had issues uploading assignments.”

  • No follow-up: (You’re left guessing—is it a browser glitch? File size? Instructions unclear?)

  • AI follow-up: “Can you describe what happened when you tried to upload? Did you see any error messages?”

Or:

  • Online course student: “I couldn’t reset my password.”

  • AI follow-up: “Was there a specific error, or did the reset email not arrive?”

Without targeted follow-ups, responses are often too vague to be helpful. With AI-powered follow-up, you cut through confusion right away. These smarter convos mean fewer abandoned tickets and faster fixes. Try generating a survey to see how it feels—these nuanced follow-ups are something you really have to experience first-hand. For technical details, check out how it’s done with automatic follow-up questions.

Follow-ups transform every interaction—your survey becomes a real conversation, not just a list of questions.

Easy editing, like magic

Editing an AI survey in Specific is as simple as chatting about what you want to change. Tell the survey builder in your own words—change the tone, add a question, or adjust follow-up details—and the AI will instantly update the survey for you, drawing on expert knowledge of best practices. No need to fiddle with forms or templates. What used to take hours can now be done in seconds thanks to the AI survey editor.

Survey delivery: landing page and in-product

Getting your online course student technical support survey to the right people is just as important as building it. Specific lets you deliver surveys as:

  • Sharable landing page surveys: Easily email, message, or post a link anywhere—perfect for courses hosted on popular platforms, where you want every student to have a simple link to provide feedback on technical support.

  • In-product surveys: Embed directly inside your online course portal or learning app—ideal for catching students in the moment they face a technical issue, maximizing response rates and immediacy.

For technical support, both methods work, but in-product is incredibly powerful for real-time, contextual feedback when students actually need help. Landing page delivery is great for post-course reviews or periodic check-ins when you don’t control the course platform.

Instant AI survey analysis—no spreadsheets

Survey analysis shouldn’t mean hours spent sorting through data or building custom dashboards. With Specific, AI survey analysis is built in: it instantly summarizes every response, surfaces key themes, and highlights actionable trends—right out of the box.

Want to dive deeper? Chat directly with the AI about your responses to spot bottlenecks, clarity issues, or common frustrations—no spreadsheet wrangling or manual tagging. See more on how to analyze online course student technical support survey responses with AI or get into the details on automated survey insights features.

See this technical support survey example now

Ready for higher quality, actionable feedback from your online course students? Experience the difference a conversational AI survey makes—see the example, and understand your students’ technical support needs as they really happen, not weeks later. It’s the fastest way to clearer answers and happier learners.

Try it out. It's fun!

Sources

  1. Gitnux. 47% of students faced technical difficulties during online learning sessions.

  2. Technet Experts. 27% of students lacked basic computer skills in e-learning systems.

  3. SuperAGI. AI-powered surveys’ completion rates and engagement statistics.

  4. arXiv.org. Field study on quality of responses in AI-conducted conversational surveys.

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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.