Survey example: Patient survey about care coordination

Create conversational survey example by chatting with AI.

This is an example of an AI survey for Patients about Care Coordination—see and try the example now.

Anyone who’s needed insights on patient care coordination knows the struggle: creating a survey that’s clear, contextual, and truly reveals what matters most to patients.

At Specific, we bring technical and research authority to modern, AI-driven patient surveys like this one—so you can focus on the outcomes, not just creating the questions.

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

Traditional patient care coordination surveys often feel like static forms—impersonal and rigid. It’s tough to capture the full patient story because generic questions rarely lead to rich, actionable feedback. Patients get survey fatigue, and you’re left sifting through half-baked answers.

AI survey generation changes all that. With a conversational survey, every question feels like part of a chat—adaptable, contextual, and friendly. The AI personalizes follow-ups in real time, ensuring patients’ unique perspectives shine through. Instead of filling out endless pages, they get an experience that feels like sharing their story with someone who understands.

Let’s make the comparison simple:

Manual Surveys

AI-Generated Conversational Surveys

Preset, one-size-fits-all questions

Adaptive, personalized conversation

Difficult to probe for deeper context

AI asks smart follow-up questions in real time

Editing is slow and labor-intensive

Edit instantly with natural language commands

Low engagement and incomplete data

Higher completion rates and richer insights

Why use AI for patient surveys?

Specific’s AI survey builder generates patient care coordination surveys with the conversational flow patients prefer. Here’s why we believe AI-driven surveys are best for patients:

  • Contextual and personal: AI adapts follow-ups based on each unique response, so patients never feel misunderstood.

  • Expert level insights: The AI uses established healthcare research methodologies, ensuring every question asks what matters most for care coordination and outcomes. For instance, studies show effective care coordination can improve patient satisfaction by up to 98% in specific domains [1].

  • Engagement: Patients are more likely to complete conversational surveys, leading to more accurate and comprehensive data.

Plus, with a platform like Specific, you don’t just get a survey—you get the best-in-class user experience in conversational surveys, for both creators and respondents. If you want to start from scratch, you can also use our AI survey generator to make any survey you need.

Automatic follow-up questions based on previous reply

One of the game-changers with Specific’s AI-powered approach: automatic follow-up questions. Whenever a patient gives a reply, our AI instantly crafts a smart follow-up—right then and there—adapting to what was said. You get deeper context, just like a real conversation with a healthcare expert.

Here’s what usually happens if you skip follow-up questions:

  • Patient: “My care coordinator was helpful.”

  • AI follow-up: “Could you share an example of how your care coordinator helped you manage your treatment?”

Without the follow-up, you might not know if “helpful” meant reminders, emotional support, or managing appointments. These layers matter for actionable improvement—and our AI knows how to dig in the right way, every time. This is a huge time-saver compared to chasing vague answers with email threads or trying to schedule follow-up interviews yourself. Read more about how this feature works on our automatic AI follow-up questions page.

Want to see it in action? Try creating your survey and watch how the feedback becomes a true conversation. The result: richer, clearer patient insights from a true conversational survey.

Easy editing, like magic

Tweaking a patient care coordination survey shouldn’t require building a whole new form or wrangling with clunky tools. With Specific, you simply chat what you want to change—“Add a question about discharge instructions,” or “Make the survey skip care team questions if patient says they never interacted.” The AI does the expert-level editing instantly, eliminating tedious manual work. It’s survey editing in seconds, so you can iterate as fast as your feedback evolves. See more on our AI survey editor page.

How to deliver surveys: patients, care coordination, and sharing options

You can deliver your patient care coordination survey via:

  • Sharable landing page surveys—Perfect for emailing to groups of patients, handing out through patient portals, or sharing during care transitions. Great for capturing broad perspectives from patients outside your primary software system.

  • In-product surveys—Embed the survey directly in patient-facing web or mobile apps. Ideal for collecting real-time feedback after appointments, treatments, or care coordination sessions—right at the moment of experience.

For care coordination topics, both are effective: in-product surveys excel for immediate context during care touchpoints, while landing page surveys work well for episodic or annual patient engagement initiatives.

AI-driven survey analysis for actionable insights

The value of an AI survey example goes far beyond simply collecting responses. With Specific’s AI survey analysis tools, you get instant themes, summaries, and key insights—no spreadsheets or hours of manual work. Features like automatic topic detection and the ability to chat directly with the AI about results mean you can easily understand what matters most to patients. If you want to learn more about how to analyze patient care coordination survey responses with AI, see our detailed guide: how to analyze Patient Care Coordination survey responses with AI.

See this Care Coordination survey example now

Discover how conversational, AI-powered patient surveys can reveal what really matters in care coordination—try it out for yourself and unlock insights that drive better patient outcomes.

Try it out. It's fun!

Sources

  1. NCBI. Study: Coordinating care improves satisfaction for chronic illness patients.

  2. PMC. AI reduces errors and improves care coordination in hospitals.

  3. Zipdo. AI-driven predictive analytics in reducing hospital readmissions.

Adam Sabla - Image Avatar

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.