This article will guide you on how to create a Patient survey about Telehealth Experience. With Specific, you can build your survey in seconds—just generate an AI-powered survey and get feedback instantly.
Steps to create a survey for Patient about Telehealth Experience
If you want to save time, just generate a survey with Specific.
Tell what survey you want.
Done.
Honestly, you don’t even need to read further—AI will create your survey with expert-level knowledge. It will even ask respondents smart, contextual follow-up questions so you get in-depth insights every time.
Why telehealth experience surveys matter for patients
If you aren’t running regular Patient feedback surveys about telehealth, you’re missing out on crucial insights that drive better care and stronger patient trust. Here’s why:
Understanding if people actually like or struggle with digital appointments helps you fine-tune every touchpoint.
Spotting bottlenecks or frustrations early prevents drop-offs and negative reviews.
Let’s anchor this with some real numbers: **83% of patients reported satisfaction with telehealth during the COVID-19 pandemic** ([1]), and recent research shows 79% believe telehealth quality matches or exceeds in-person care [3]. If you aren’t capturing feedback, you risk making decisions on incomplete, outdated, or biased information.
The importance of Patient recognition surveys goes beyond trends—it’s about surfacing actionable improvements and building trust through demonstration that you care about patient voices. The benefits of Patient feedback in healthcare can be the difference between patient retention and silent churn. Thoughtful surveys close this gap.
What makes a good survey on telehealth experience?
The best telehealth surveys use clear, unbiased questions with a conversational tone to encourage honest responses. You want questions that dig deep, not just skim the surface.
Let’s make it visual—here’s how common survey traps and recommended practices compare:
Bad Practices | Good Practices |
|---|---|
Leading or confusing wording | Clear, neutral phrasing |
Boring, one-word answers | Open-ended, honest conversations |
Only multiple-choice | Mix of open, rating, and choice |
The best measure of a good survey about telehealth experiences is not just quantity but quality of responses. High engagement and thoughtful answers are the real goal. When you blend structure with the natural feel of a chat, you get both.
Types of questions for a patient survey about telehealth experience
There are a few types of questions that consistently return high-quality data in telehealth feedback surveys.
Open-ended questions: These encourage patients to share genuine opinions in their own words. Use them to discover real pain points, unique stories, or actionable ideas. For example:
What do you appreciate most about your telehealth appointments?
If anything could improve your remote visit experience, what would it be?
Single-select multiple-choice questions: These questions make it fast for patients to respond and let you quantify trends easily. Perfect when you want consistent answers for analysis. For example:
How satisfied were you with your most recent telehealth appointment?
Very satisfied
Somewhat satisfied
Neutral
Dissatisfied
NPS (Net Promoter Score) question: Use this question when you want to benchmark overall loyalty or likelihood to recommend your telehealth services. It’s easy to track shifts over time, and you can generate an NPS survey for patients about telehealth experience right now. Example:
On a scale of 0-10, how likely are you to recommend our telehealth service to a friend or family member?
Followup questions to uncover "the why": These are essential for digging below surface-level responses. Whenever a patient gives a vague or generic answer, a follow-up can clarify their meaning or motivation—ensuring you “get the why” instead of guessing.
Can you elaborate on what made the experience positive/negative?
What would make this a perfect experience for you?
If you want more inspiration or ready-to-use example survey questions for patients about telehealth, we’ve got a full guide with best practices.
What is a conversational survey?
Conversational surveys use a chat-like format, making the feedback process feel like a real conversation—not a cold web form. The AI asks, listens, and adapts mid-survey, following up when needed. This approach unlocks richer, more honest responses because it lowers barriers and feels natural. In short, you’re not blasting a list of questions—you’re dialoguing.
Compare traditional manual survey creation with an AI survey generator—the difference is huge. Manual methods require long setup, question scripting, follow-up logic, and laborious edits. With AI, you compose a survey in seconds, chat with the AI about changes, and launch. Let’s compare:
Manual Survey | AI-generated Survey |
|---|---|
Build each question by hand | Describe your goal and auto-generate survey |
Static, form-like experience | Dynamic, conversational (adapts to answers) |
Follow-up via separate email or manual call | Instant follow-ups in real time |
Difficult edits and distribution | Edit by chatting, launch in seconds |
Why use AI for patient surveys? It’s faster, more reliable, and the only way to create a scalable conversational experience that feels personal. AI survey examples show markedly higher response rates and more in-depth feedback. Specific’s conversational surveys offer the smoothest user experience in the space—for both survey creators and patients responding. If you want to learn how to create a survey from scratch, check out our step-by-step guide.
The power of follow-up questions
Asking a single question only scratches the surface; follow-ups are how you dig up real insights. That’s why automated AI follow-up questions are a game changer. With Specific, the AI listens to patient answers and asks for clarification or more detail in real time—just like an expert interviewer. This natural dialogue means you get not just initial opinions, but the stories and context behind them. No more chasing unclear answers in your inbox.
For example, if you skip the follow-up, you might get:
Patient: It was okay, I guess.
AI follow-up: Can you share what specifically made your experience just okay?
How many followups to ask? Usually, 2–3 followups are ideal. Go beyond that, and you risk fatigue—unless the respondent is eager to keep sharing. You should always have a setting to skip to the next question when you have what you need—Specific includes this flexibility.
This makes it a conversational survey—a real dialog, not just a data collection tool. When you ask “why?” at the right time, every answer gets richer, and every respondent feels heard.
Response analysis with AI, unstructured feedback analysis: It’s remarkably easy to analyze all those open-text responses. Even with hundreds, you can use the latest AI survey response analysis methods to instantly surface key themes or individual insights—no manual coding required.
Automated follow-ups are still new, so I urge you to try generating your own conversational survey and see how powerful it feels in action.
See this telehealth experience survey example now
Don’t wait to capture your patients’ honest feedback—create your own survey now and discover deeper insights in minutes. Specific makes it easy, conversational, and expert-level—no setup stress, just results.