Here are some of the best questions for a patient survey about telehealth experience, plus tips on how to create them. If you want, you can build your own conversational survey about this topic with Specific in seconds and start getting meaningful insights without the heavy lifting.
10 best open-ended questions for a patient survey about telehealth experience
Open-ended questions help surface detailed, nuanced patient experiences—the kind you just can’t capture with a few checkboxes. When you want to go deeper than ratings, understand new needs, or catch issues early, these questions are your best friend. Consider these as starting points for your patient survey:
Can you describe your overall experience with our telehealth service?
What made your telehealth visit feel comfortable or uncomfortable?
Were there any technical issues during your appointment? Please explain.
How did the telehealth appointment compare to your past in-person visits?
What aspects of the telehealth process were most helpful for you?
Were there any points where you felt confused or needed more information?
How well did your healthcare provider communicate with you in the telehealth setting?
What would have made your telehealth experience better?
Why did you choose telehealth over a traditional appointment?
Is there anything else you’d like to share about your telehealth experience?
Patients repeatedly report satisfaction levels over 80% for telehealth, but the best feedback comes from stories—the “why” behind the number[1]. These questions help unlock that context.
Best single-select multiple-choice questions for patient survey about telehealth experience
Single-select multiple choice is ideal when you want to quantify opinions, benchmark improvements, or get patients talking by breaking the ice with simple options. It’s easier for some people to pick a quick answer than to craft a full sentence—then you can prompt them to elaborate with a follow-up.
Question: How satisfied were you with your most recent telehealth visit?
Very satisfied
Satisfied
Neutral
Dissatisfied
Very dissatisfied
Question: What was the main reason you scheduled a telehealth appointment?
Convenience
Health/safety (avoiding public spaces)
Specialist was only available online
Other
Question: Did you feel you received all the information you needed during your telehealth appointment?
Yes, completely
Somewhat
No, not enough
No, not at all
When to follow up with "why?" Always follow up with "why?" after a surprising, extreme, or negative answer (“Very dissatisfied” or “No, not enough”). For example, if a patient selects “Dissatisfied”, ask: What could have made your experience better? This helps turn quick responses into actionable feedback, as shown in top-performing surveys[2].
When and why to add the "Other" choice? Add “Other” when your list may not cover every experience. This opens the door to unexpected insights—simply ask a follow-up: “Tell us more about your reason” if someone picks “Other.” Nuanced answers often highlight trends you never thought to track.
Should you use NPS in a patient telehealth experience survey?
NPS (Net Promoter Score) asks: “How likely are you to recommend our telehealth service to a friend or family member?” on a 0–10 scale. It’s a gold standard in experience measurement, giving a clear read on loyalty and overall satisfaction. For patient telehealth, it helps you benchmark against other providers and spot advocacy trends, especially as 75% of U.S. adults now say telehealth visits can be as good as in-person care[3]. You can generate a ready-made NPS survey for patients in seconds using an AI survey builder.
The power of follow-up questions
Follow-up questions make the difference between a surface-level response and insights that drive real change. They transform checkboxes and single sentences into full stories—by going deeper where it matters, based on what each patient actually says. The automatic follow-up feature in Specific uses AI to smartly probe for missing details or clarify vague answers, all in real time and tailored to each respondent.
Patient: “It was okay, but could be better.”
AI follow-up: “Could you share more about what would have improved your telehealth appointment?”
This turns incomplete feedback into focused, usable insights. Automated followups save you hours versus manual email back-and-forth, and the conversation feels natural—ensuring more patients actually finish and that you gather higher quality data[4].
How many followups to ask? In our experience, two to three well-targeted follow-ups per open answer are usually enough. You don’t want people to feel interrogated. With Specific, you can configure the depth of follow-up or let the respondent move on once their main point is clear.
This makes it a conversational survey: Every response gets considered, and no feedback slips through the cracks. It feels like talking, not form-filling.
Easy AI-powered analysis: Even with all this unstructured text, Specific’s AI survey response analysis feature makes it easy to organize, theme, and summarize answers instantly. No need for manual coding or spreadsheets—just chat with the AI about your results (see how to analyze telehealth survey responses using AI).
Automated followup questions really change the game—give it a try and see how much richer your telehealth feedback can be.
How to prompt ChatGPT or other AI to generate great telehealth experience survey questions
Want to use ChatGPT or another LLM to help draft your survey? Here’s the fastest way to get quality questions:
First, just ask:
Suggest 10 open-ended questions for patient survey about telehealth experience.
But AI does even better if you provide more context. Try:
I work for a large clinic. Our patients are adults of all ages and varying tech familiarity. I want to understand how telehealth compares to in-person care, where people struggle with technology, and what would help them feel supported. Please generate open and single-select questions for a detailed, conversational survey—focus on real pain points and moments that matter.
To organize results, try:
Look at the questions and categorize them. Output categories with the questions under them.
Once you have your categories, pick the focus areas you want to drill down into and prompt the model again:
Generate 10 questions for categories "technical experience" and "provider communication in telehealth".
Each step helps you clarify your intent and get more actionable survey content. Want to shortcut this process? Just use the AI survey generator built for telehealth—it has prompt presets and expert-backed logic out of the box.
What is a conversational survey—and why use it for patient telehealth feedback?
Conversational surveys skip stiff web forms and rows of radio buttons. Instead, they unfold like a human chat—adapting to each response with smart, AI-generated probing. For patients, it feels like a real dialogue, not a cold data request. For you, it means richer stories, faster completion, and less drop-off thanks to real-time engagement.
Manual Surveys | AI-Generated Conversational Surveys |
|---|---|
Static, one-size-fits-all | Adapts dynamically to each answer |
Hard to edit and iterate | Edit questions instantly via chat (see the AI survey editor) |
Boring checkboxes | Feels natural, like texting |
No real context | Asks follow-ups for deeper understanding |
Manual data cleaning | Instant AI analysis and summaries |
Why use AI for patient surveys? AI lets you quickly generate, launch, and iterate on your telehealth experience survey—without hand-coding logic or combing through endless open-text for insights. Say you want an AI survey example for patients—within 30 seconds, Specific’s builder can generate, adapt, and launch one, complete with auto follow-ups and analysis.
We’ve seen respondents engage more with conversational feedback, and survey creators get the deep insights they need with half the effort. Check out our guide on how to create a patient telehealth experience survey if you want step-by-step instructions.
Specific is built with researchers, product teams, and healthcare organizations in mind—delivering a best-in-class conversational survey user experience, however you want to collect patient feedback.
See this telehealth experience survey example now
Shape richer, more actionable feedback for telehealth by using AI-powered, conversational surveys. Collect deeper insights, analyze with ease, and turn patient conversations into real improvement—see how quickly you can launch your own survey!