This article will guide you how to create an online course student survey about technical support. We use Specific to build surveys for this in seconds—you can generate your own survey easily in just a few clicks with AI.
Steps to create a survey for online course students about technical support
If you want to save time, just generate a survey with Specific. The process is insanely simple, thanks to the latest AI survey technology (create any survey here).
Tell what survey you want.
Done.
You honestly don’t even need to read further—AI takes care of the rest with expert-level questions and even follows up for richer insights through conversational surveys.
Why these surveys matter: top reasons you shouldn’t skip them
Gathering feedback about technical support from online course students isn’t just a checkbox activity—it’s the backbone of lasting student satisfaction and smooth online learning. If you’re not running these surveys, you’re missing out on:
Pinpointing gaps in your support experience before students drift away or drop out.
Unlocking specific technical pain points that don’t surface in generic course reviews.
Spotting systemic issues, from platform bugs to help desk response times, that erode trust over time.
Empowering your team to act quickly, since you’re hearing directly from the people who matter.
Here’s the kicker: Surveys distributed right after course completion capture the freshest, most actionable impressions. Mid-course check-ins, meanwhile, let you step in before little issues snowball into big ones. When surveys are anonymous, students give more honest feedback—unlocking actionable insights you’d otherwise miss. [1][2]
If you care about the importance of online course student recognition, or want to tap into the real benefits of online course student feedback, this is the fastest path from surface-level guesswork to confident, measurable improvement.
What makes a good survey on technical support?
A good survey goes way beyond just slapping together a list of generic questions. It’s about:
Clear, unbiased questions—No jargon. No confusing phrasing. Just direct, understandable prompts.
Conversational tone—So students actually feel invited to share, not intimidated or rushed.
Timing—Ask at the right moment, like right after an interaction or course end.
Anonymity option—Let students know their answers are safe for honest feedback.
The real measure? High-quality—and high-quantity—responses. You need both. A pile of half-hearted, vague answers means something’s off; enthusiastic, detailed feedback means you’ve nailed it.
Bad practice | Good practice |
|---|---|
Technical jargon in questions | Simple, relatable language |
No chance to elaborate | Follow-up prompts for deeper insight |
All multiple-choice, no open text | Mix of question types |
Stick to these best practices and you’ll collect meaningful technical support feedback that actually drives improvement. [1]
Question types and smart examples for your online course student survey about technical support
Mixing question styles keeps your survey engaging and actionable. Let’s walk through the key types—with clear examples tailored to technical support for online course students.
Open-ended questions let students share thoughts in their own words—great for uncovering surprises and genuine pain points. Use these to dig into issues or to invite suggestions. Examples:
What’s one technical hurdle you faced during the course that disrupted your experience?
If you could change anything about the technical support you received, what would it be?
Open-ended questions shine when you care about depth over metrics—or if you want qualitative insight to guide product or support changes.
Single-select multiple-choice questions are best for structured data and easy analysis. Use them when you want to measure frequency or satisfaction. Example:
How satisfied were you with the technical support you received during the course?
Very satisfied
Somewhat satisfied
Neutral
Somewhat dissatisfied
Very dissatisfied
NPS (Net Promoter Score) question gauges loyalty and satisfaction at a glance—handy when paired with followups. You can instantly generate an NPS survey for online course students about technical support here. Example:
On a scale from 0 to 10, how likely are you to recommend our course’s technical support to a friend or colleague?
Followup questions to uncover "the why": Sometimes a simple answer isn’t enough—you need context. That’s when automated AI followup questions step in, nudging for detail without feeling pushy. Example:
Can you tell me more about what made it difficult to get the support you needed?
Was there anything specific our support team could have done differently?
Followups like these zero in on root causes, making your survey not just a form, but a real conversation. If you want to explore even more question ideas and practical tips, check out our full article on the best questions for online course student surveys about technical support.
What is a conversational survey, and how is AI powering the next wave?
Conversational surveys ditch the old cold, form-based experience for something that feels more like a smart, attentive chat. Respondents answer one question at a time, and—thanks to AI—the survey can ask follow-up questions or clarify ambiguities, just like a real researcher would.
Traditional, manual survey creation means:
Endless tweaking of static forms
Guessing at what questions will land or need context
Low engagement from students who get survey fatigue
With AI survey generators, you:
Create, edit, and launch surveys effortlessly—even for complex topics
Get expert-level questions—no knowledge gap
Gain higher response rates from an interactive, chat-like flow
Manual survey | AI-generated survey |
|---|---|
Long setup times | Instant creation from a simple prompt |
No follow-ups, static questions | Automatic, contextual follow-up questions |
Low engagement | Conversational, chat-style interaction |
Why use AI for online course student surveys? You eliminate research blind spots: AI suggests the best questions, follows up for clarity, and makes it a breeze for students to actually complete the survey. Want to learn more about conversational AI survey examples? Take a look at our simple guide on how to create surveys with Specific.
Specific leads the way with best-in-class conversational surveys, creating a responsive feedback loop that’s seamless for both survey creators and online course students.
The power of follow-up questions
If you’re serious about gathering useful insights instead of shallow answers, you need automated followup questions. Why? Because most respondents won’t give you the whole story on the first try. That’s where automated followup AI steps up—Specific’s survey AI is designed to notice when an answer begs for more detail, and responds instantly, in context, just like a real human would. This saves you time you’d otherwise spend emailing for clarification and makes responses much more actionable.
Online course student: "The technical support was okay."
AI follow-up: "Thanks for sharing! Can you tell me more about what you wish was different about the support experience?"
How many followups to ask? In most cases, 2–3 smart followups are plenty. With Specific, you can set the AI to skip further questions once you’ve collected the information you need—no endless drilling, just respectful, useful probing for context.
This makes it a conversational survey—which means students feel listened to, not interrogated. That’s where the breakthrough engagement and truthfulness come from.
Powerful AI response analysis: Even if you end up with tons of unstructured text, AI makes analysis simple. The AI in Specific categorizes, summarizes, and makes it easy to spot trends, saving you hours.
Automated followup questions are a game-changer—experience this for yourself by generating a smart survey and seeing how it makes student feedback more complete.
See this technical support survey example now
Ready to uncover deeper insights and transform student support? Generate your own conversational technical support survey today and experience the difference—seamless setup, real conversation, smarter data, actionable improvements.