Survey example: Online Course Student survey about likelihood to recommend
Create conversational survey example by chatting with AI.
This is an example of an AI survey example for an online course student survey about likelihood to recommend—see and try the example for yourself.
Creating effective online course student likelihood to recommend surveys is a common challenge: most tools feel clunky, responses are too generic, and you’re left wishing for deeper, richer insights.
Specific has become the go-to for smart, conversational surveys that actually engage students and reveal what’s behind their answers. All the tools you see here are Specific solutions.
What is a conversational survey and why AI makes it better for online course students
Most online course feedback forms are impersonal, overly long, or ignored altogether. Traditional surveys too often miss context or bore respondents, which leads to poor completion rates and surface-level results.
Enter the AI survey generator. Using AI, you get a conversational survey experience that feels like chatting, not slogging through a form. This means higher engagement from online course students and far better context for every “would you recommend this course?” answer.
Let’s compare:
Manual Survey | AI-Generated Conversational Survey |
---|---|
Static questions, one-size-fits-all | Dynamically adapts based on responses |
Low response rates (often 10–30%) | Completion rates up to 90% [1] |
Little or no follow-up, generic data | Asks for specifics, real examples, and “why” |
Manual analysis, hard to find insights | Instant AI analysis, summarized insights |
Why use AI for online course student surveys?
Adaptive experience: AI tailors the survey in real time, asking the right follow-ups so students never feel cookie-cutter.
Boosted completion rates: Conversational surveys using AI regularly see completion rates between 70–90%, far surpassing typical online feedback forms [1].
Better data quality: By connecting like a human, AI gets students talking, leading to deeper feedback and actionable takeaways [2].
Specific’s AI-driven survey generator delivers a best-in-class conversational experience. The result: smooth, engaging, and meaningful feedback for both you and your online course students. See more about how to create or easily generate your own survey in minutes.
Automatic follow-up questions based on previous reply
Great feedback comes from context, and that’s where Specific’s AI stands out. It reads each student’s reply in real time, then asks smart, targeted follow-up questions—like an expert interviewer—so you don’t get left with vague or incomplete answers.
Online course student: “It was okay overall.”
AI follow-up: “Can you tell me more about anything in the course you’d improve?”
Online course student: “I’d give it a 6 for recommending, but not sure.”
AI follow-up: “What made you hesitant to fully recommend the course?”
Without these automated follow-ups, you risk generic feedback and wasted time chasing clarifications by email. But with Specific, getting a clear, full picture happens instantly. See how automatic follow-up questions work.
Follow-ups are what make a survey conversational. They unlock richer, more honest answers, transforming every interaction into a real conversation—not just a data grab.
Easy editing, like magic
Making changes to your survey shouldn’t be a chore. With Specific’s AI survey editor, you just tell the chat in plain language how you want your online course student survey to change. The AI updates questions, follow-ups, and tone like an expert—no forms, no menu-hunting, just results. Edits take seconds, so your survey stays relevant and sharp. Learn more about the AI survey editor.
Flexible delivery: landing page or in-product
Getting your survey in front of online course students is simple. Specific offers two seamless delivery methods, each fitting specific needs for likelihood to recommend surveys:
Sharable landing page surveys—Perfect if you want to email students, post a survey in your learning platform, or share a public link. Students can answer wherever they are, with no app install or login needed.
In-product surveys—If you run your course in a web app or LMS, show the survey right after students finish, while the experience is fresh. Ideal for capturing their likelihood to recommend in context, boosting quality and response rates.
For most online course recommendation surveys, landing page delivery is a great fit, but if you already have an app, in-product works beautifully for in-the-moment feedback.
Instant AI-powered survey analysis
Once responses roll in, AI survey analysis with Specific takes over. It instantly summarizes feedback, highlights top reasons students would (or wouldn’t) recommend your course, and reveals underlying themes—without you ever touching a spreadsheet.
Features include automatic topic detection, AI-powered summaries for every reply, and even the option to chat with AI about your students’ responses. Learn how to analyze online course student likelihood to recommend survey responses with AI, or try the AI survey analysis chat for deeper insights.
See this likelihood to recommend survey example now
Try the conversational AI survey example—discover how easy it is to collect, clarify, and analyze recommendation feedback from online course students. Experience richer data and seamless insights, in minutes.
Related resources
Sources
superagi.com. AI vs. Traditional Surveys: A Comparative Analysis of Automation, Accuracy, and User Engagement in 2025
teachingcommons.kzoo.edu. Boosting Response Rates for Online Course Evaluations in Your Online Course
sfu.ca. Course Experience Surveys – Response Rates