Survey example: Patient survey about communication with nurses

Create conversational survey example by chatting with AI.

This is an example of an AI survey about communication with nurses for patients—see and try the example to experience how modern conversational surveys work in healthcare. Struggling to design truly effective patient communication surveys is a common challenge, especially when traditional forms leave so many gaps.

At Specific, we bring depth, clarity, and ease to survey creation using real conversational AI—every tool you see here is powered by Specific’s expertise in modern survey technology.

What is a conversational survey and why AI makes it better for patients

Designing effective patient communication with nurses surveys is tough—so often, forms are cold, incomplete, or ignored. Patients might offer a few words, or skip steps altogether. That’s why so many organizations are shifting to AI survey examples that feel like a real conversation.

AI-driven survey generators bring a whole new level of engagement. Unlike old-school surveys that ask static, linear questions, AI-guided tools adapt every step. For instance, studies show that AI-driven surveys consistently achieve completion rates of 70–80%, compared to just 45–50% for traditional formats—since the AI adapts in real time, a patient feels “heard” and sticks with it longer. [1]

We often see that patients who experience better communication with nurses—as measured through thoughtful feedback surveys—report real boosts in satisfaction with their care. In a study from Ethiopia, 41.9% of patients rated nurse communication as good, but satisfaction soared among patients in private rooms, showing how context really matters. [2]

So, how does an AI survey generator raise the game? Let’s break it down:

Manual survey creation

AI-generated survey (Specific’s AI survey example)

Static; time-consuming to build

Fast—just chat and describe your goal

Rarely adapts to responses

Asks follow-ups and explores nuance

Low engagement (boring forms)

Feels like a conversation, boosts response rate

Hard to analyze

AI instantly summarizes all responses

Why use AI for patient surveys?

  • Patients open up in a more natural, chat-like experience

  • Real-time follow-up questions dig deeper, clarifying any confusion

  • Data quality skyrockets—patients give richer, more accurate answers

  • Automatically adapts language and tone, providing a friendly approach even on sensitive healthcare topics

Specific is designed for this—our user experience is best-in-class for both creators and respondents. If you want to dig deeper, check out our deep dive into the best questions for a patient survey or try the AI survey generator for a custom setup.

Automatic follow-up questions based on previous reply

The biggest leap with Specific? Automatic AI follow-up questions. Our AI listens to each patient’s answer and responds in real time, probing gently just like a skilled interviewer. This leads to surveys that don’t just gather quick responses—they collect real stories, context, and the “why” behind every answer.

Without smart follow-ups, responses can be vague or ambiguous, forcing healthcare teams to follow up by email (if they even bother).

  • Patient: “The nurses were nice, but I don’t remember much.”

  • AI follow-up: “Can you share a specific example that stood out to you, either positive or negative, during your stay?”

Or take this:

  • Patient: “Sometimes I didn’t understand the information I was given.”

  • AI follow-up: “What kind of information was unclear or difficult to understand? Was there a specific moment you remember?”

If you don’t ask, you don’t learn. But with automatic AI follow-up questions, you’ll see how each reply is explored and clarified—generating practical, actionable insights. Try generating an AI survey example and experience the conversation for yourself.

With follow-ups, the process truly becomes a conversational survey—a natural back-and-forth that makes the respondent feel heard and valued.

Easy editing, like magic

We built Specific for people who want results without a struggle. Editing your survey is as simple as chatting with AI—tell it what you want, and watch the questions update instantly. The AI survey editor handles the details, brings in expert phrasing, and removes the headache from managing question lists or fiddling with options. You can change tone, add clarifying questions, or re-focus the survey in seconds.

Flexible delivery: share with patients, anywhere

You can launch a patient communication with nurses survey by:

  • Sharable landing page surveys: Perfect for sending a unique link via email or SMS. Hospitals and clinics often use landing page surveys to reach patients post-discharge or after appointments—no installation needed.

  • In-product surveys: If you run a patient portal, telemedicine app, or digital health tool, embed the survey directly so patients can complete it in-app—right after interacting with their care team.

For communication with nurses, landing page delivery is often ideal for collecting feedback after hospital stays, while in-product surveys fit seamlessly in digital healthcare workflows for real-time feedback.

AI analysis for patient communication insights

Tired of exporting spreadsheets or manual coding? With AI survey analysis in Specific, you don’t have to. The system instantly summarizes every response, flags the main topics (like communication with nurses, clarity, or empathy), and delivers automated survey insights that you can explore further. You can even chat directly with AI about the results—ask for statistics, sentiment, or group differences. For tips and best practices, read our guide on how to analyze patient communication with nurses survey responses with AI.

See this communication with nurses survey example now

Experience a modern, truly conversational patient survey in action—see how automatic follow-ups, smooth editing, and AI-powered analysis make collecting and understanding patient feedback easier and more insightful than ever.

Try it out. It's fun!

Sources

  1. theysaid.io. AI vs. Traditional Surveys: Response Rates and Completion Stats

  2. SAGE Journals. Patients’ perceptions of nurse communication and satisfaction in Ethiopia

  3. PubMed. Nurse identification and patient satisfaction study

  4. PubMed. Impact of bedside shift reports on patient satisfaction

  5. arXiv. AI conversational interviewing and data quality study

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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.