Survey example: Patient survey about medication understanding

Create conversational survey example by chatting with AI.

This is an example of an AI survey about medication understanding for patients—see and try the example to experience it instantly.

Capturing true medication understanding from patients with traditional forms is challenging. Responses are often incomplete—leaving healthcare teams guessing about the true barriers or misconceptions patients face.

All the tools and examples here are powered by Specific, the authoritative solution for creating and analyzing AI-driven conversational surveys in healthcare and beyond.

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

Most patient medication understanding surveys fail to capture the real story. Patients struggle to remember medication names, struggle with terminology, and often skip questions out of confusion. We’ve seen this first-hand: approximately 30% of patients can't name one of their prescribed medications, and about 19% don't know the medication's purpose [1]. This isn't just a data gap; it's a serious risk for adherence and health outcomes.

Conversational surveys powered by an AI survey generator flip this dynamic. Instead of leaving patients with static forms, the survey adapts—clarifying questions, offering encouragement, and engaging people like a real conversation. This leads to richer, more accurate responses and higher completion rates.

Here's how the two approaches compare:

Manual Survey

AI-generated Conversational Survey

Fixed questions, no adaptation

Follows up based on each answer, like a clinician

Low engagement—often abandoned

High completion rates (up to 90% [2]) and engagement

Slow to analyze responses

Instant AI-powered analysis and insights

Why use AI for patient surveys?

  • Adaptive questioning: The survey adjusts its wording and follow-ups in real time.

  • Familiar chat interface: Feels natural, especially on mobile.

  • Boosted participation: Lower abandonment rates—just 15–25%, compared to 40–55% for traditional forms [3].

Specific leads in this space, offering the best-in-class user experience for both survey creators and respondents. It turns the “AI survey example” from a novelty into a robust, real-world tool—one you can experiment with right now. For more on what to ask, see best questions for patient survey about medication understanding and for building your own, see our AI survey builder.

Automatic follow-up questions based on previous reply

One of the biggest innovations is how Specific’s conversational AI asks smart follow-up questions in real time. Instead of stopping at the first answer, the AI reacts—clarifying if the response is unclear or digging deeper to understand the patient’s context. This is key in medication understanding surveys, where miscommunication can be dangerous.

Compare these scenarios:

  • Patient: "I take the blue pill in the morning."

  • AI follow-up: "Thanks for sharing. Can you tell me the name or purpose of the blue pill you take each morning?"

  • Patient: "My medication list is pretty long."

  • AI follow-up: "Could you list the medications you remember, or is there one you have questions about?"

Without follow-ups, those initial answers wouldn't reveal risk areas—perhaps the patient is confused about which pill is for which condition, or struggles with side effects. For more detail, see automatic follow-up questions to learn how this all works.

These automated follow-ups save huge amounts of time, especially compared to emailing or calling for clarification later. More importantly, they make the survey feel like a conversation, not an interrogation—which is what makes a conversational survey so unique. Try generating your own survey and experience it first-hand.

Thanks to dynamic follow-ups, the entire survey becomes a true conversation—making every patient feel heard and understood.

Easy editing, like magic

Editing your Patient Medication Understanding survey is as simple as chatting. Just tell the AI what you want changed—add new questions, soften the tone, target a different medication group—and it instantly makes expert tweaks. No more slogging through form builders or retyping logic. Edits that used to take hours now happen in seconds with AI survey editor. The result: every survey feels tailored, precise, and ready for action.

Flexible delivery: landing pages & in-product

We make it straightforward to get your survey in front of the right patients at the right time, using these flexible methods:

  • Sharable landing page surveys: Perfect for small clinics, pharmacies, or outpatient networks who want to share a unique link with patients via email, SMS, or printed QR code. Patients complete the conversational survey from their smartphones, with no login or install required.

  • In-product surveys: Ideal for digital health portals, patient apps, and telemedicine services. Instantly gather contextual feedback—like after prescription refills or education modules—right inside your product.

For medication understanding specifically, sharable landing pages are often most accessible for patients, especially if you do not control digital product experiences. But if you run a patient app or portal, in-product surveys reach engaged users in the moment care is delivered.

You can choose either—or both—based on where patients are most likely to respond.

AI-powered survey analysis—instant insights

After you collect responses, AI survey analysis in Specific goes to work—summarizing patient replies, finding key themes, and surfacing insights. No more waiting, sorting through spreadsheets, or drowning in open-ended text.

Features like automated topic detection and the ability to chat with AI about your results mean you move straight from data to action. Dive deeper on how to analyze Patient Medication Understanding survey responses with AI for actionable steps.

It’s the fastest way to get automated survey insights—and see exactly where patients still struggle or need more support.

See this medication understanding survey example now

Try the survey today and see how easy it is to create, deliver, and analyze conversational AI surveys for patient medication understanding. Get instant feedback, discover patient pain points, and improve outcomes—starting now.

Try it out. It's fun!

Sources

  1. PubMed. Gaps in patients' knowledge of medication names and purpose

  2. SuperAGI. AI vs Traditional Surveys: A Comparative Analysis

  3. SuperAGI. AI Survey Tools vs. Traditional Methods

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.