Survey example: Patient survey about referral process experience

This is an example of an AI survey about Patient Referral Process Experience—see and try the example now.

It’s tough to build an effective Patient Referral Process Experience survey that asks truly useful questions and actually gets answered.

Specific creates conversational surveys that adapt in real-time, delivering deeper insights and higher-quality responses for healthcare providers and researchers.

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

Building a meaningful Patient Referral Process Experience survey isn’t easy. Patients often get lost in long, impersonal forms, and as a result, response rates and data quality suffer. That’s where conversational surveys come in—and where AI powered survey generators change everything.

The conversational survey approach is simple: instead of a rigid form, patients interact with a survey that feels like a chat. The experience is natural and human. When you use an AI survey example powered by Specific, you get a survey that structures the conversation, asks smart follow-ups, and helps users share more candid feedback.

Here’s why this matters: patients are more likely to complete a survey that “talks” to them rather than one that feels robotic. In fact, the adoption of AI-powered surveys has led to completion rates of 70-90%—a dramatic improvement compared to just 10-30% for traditional surveys. [1]

Let’s break it down:

Why use AI for patient surveys?

• Get higher completion rates and more honest feedback

• Smooth, chat-like experience that works equally well on mobile

• Follow-ups and clarifications happen in real time, boosting context

Patients value a smooth experience—and so do survey creators. With Specific, both sides get a seamless, best-in-class conversational survey that leads to better decisions, improved referral processes, and a clearer understanding of real patient needs. Learn more about the best questions for patient referral process surveys or try building a completely custom survey yourself with our AI survey generator.

Automatic follow-up questions based on previous reply

The real value in a conversational survey comes from context-aware follow-up questions. Specific’s AI survey builder listens like a skilled researcher—whenever a patient gives an incomplete or vague reply, the AI instantly asks clarifying questions. This gets right to the heart of their experience, ensures you don’t miss vital detail, and saves hours you’d spend chasing up by email.

For example, here’s what typically happens without smart follow-ups:

• Patient: “The referral took a while.”

• AI follow-up: “Could you tell me more about what made the referral process slow for you?”

Now compare that to collecting dozens of replies like “It was fine” or “Not great”—without follow-ups, you’re stuck guessing what actually happened. Through automated probing, the conversation feels natural, just like chatting with a nurse or healthcare coordinator. This method has shown that 63% of referring physicians are dissatisfied due to inadequate information and communication gaps in manual processes—a gap that conversational surveys can directly close. [2]

The concept is new, but it’s incredibly effective. See how Specific’s automatic follow-up questions work in action with this Patient Referral Process Experience survey—or learn more about the automatic AI follow-up questions feature.

It’s this back-and-forth—this real chat—that transforms data collection into a real conversation, making every answer richer and more actionable.

Easy editing, like magic

Editing your survey shouldn’t be a research project. With Specific, you simply tell the AI what you want changed in a chat—“Add a question about the referral letter,” or “Make it shorter.” The AI survey editor does the rest, instantly updating your survey with expert-level tweaks. Spend less time re-working questions or worrying about phrasing, and more time focusing on what matters—getting actionable patient insights. Updates take seconds, not hours. See how it works in our AI survey editor.

Delivery methods that fit patients and referral process feedback

Getting your survey in front of the right patients is crucial. With Specific, you have flexible delivery options that match the Referral Process Experience topic:

• Sharable landing page surveys: Ideal for sending to patients by email, text, or printed QR code after a referral event. Perfect when you want feedback outside of your main app or product.

• In-product surveys: Embed the AI survey directly in your digital health platform, patient portal, or feedback widget. Patients are prompted at the optimal moment (e.g., after scheduling or attending a referral), leading to higher-quality, immediate feedback.

Landing page surveys often work best for healthcare providers and administrators wanting to gather broad, post-visit feedback—while in-product surveys excel in capturing context-sensitive, just-in-time insights during the actual referral flow. Pick what fits your workflow, or use both for maximum coverage.

Analyze survey responses with AI: instant insights, zero spreadsheets

Traditional survey data takes forever to untangle. With AI-powered analysis on Specific, you get instant summaries of every patient’s experience, automatic topic detection, and key trend identification across responses—no manual sorting required. Dive even deeper by chatting with our AI about the results—ask “What’s driving patient dissatisfaction?” and get answers on the spot. This is what modern AI survey analysis should feel like.

Want specifics? Here’s a step-by-step guide on how to analyze Patient Referral Process Experience survey responses with AI.

See this Referral Process Experience survey example now

Don’t miss out on smarter, real conversations with your patients—see this survey example in action and discover what truly engaging, AI-powered feedback can do for your referral process.