Survey example: Patient survey about shared decision-making

Create conversational survey example by chatting with AI.

This is an example of an AI survey about Shared Decision-Making for patients—see and try the example for yourself to dive right in.

Making a truly effective patient shared decision-making survey can be a real pain—crafting the right questions, handling follow-ups, and making sure patients actually reply with depth.

We’ve built Specific to solve exactly these challenges. All the survey tools and examples here are powered by Specific, the conversational AI survey platform recognized for deep, actionable research insights.

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

Getting authentic patient feedback about shared decision-making is tough. Traditional surveys are stiff, don’t ask clarifying questions, and often lead to bland, incomplete answers. Even worse, many patients simply don’t finish them.

That’s where conversational surveys come in—these are surveys that feel more like a natural chat than a form. With Specific, we’re harnessing AI to turn any patient survey into a living, breathing conversation. Instead of static questions, patients get intelligent, probing follow-up questions, so their voices are fully heard.

The difference is huge. According to recent research, AI-powered surveys reach completion rates of 70% to 80%, compared to just 45% to 50% for traditional forms. Abandonment rates also drop drastically with conversational AI: down to 15%–25% from as high as 55% with old-school surveys [3]. That means you don’t just get more responses—you get better data, faster.

Manual Survey

AI-Generated Survey

Static list of questions

Conversational, adapts to patient replies

No clarifying follow-ups

Smart follow-ups in real time

Lower completion rates

Significantly higher response completion

Manual analysis

Automatic AI-powered insights

Why use AI for patient surveys?

  • AI survey examples lead to richer, more contextual answers

  • Respondents feel heard, making the experience less transactional

  • Analysis is instant, surfacing major issues or patterns right away

With Specific, patients find it easy to share their full experience—and you uncover more nuanced reasons behind their choices. You can see more tips on the best questions for patient shared decision-making surveys or how to create patient surveys about shared decision-making.

And if you want to build a custom survey on any topic, the AI survey generator does it from scratch without templates.

Put simply: Specific delivers the smoothest and most engaging conversational survey experience out there—both for the people making surveys and patients answering them.

Automatic follow-up questions based on previous reply

The magic of a conversational AI survey is that it feels like an expert is chatting with you—asking just the right follow-up questions to understand what you mean. Specific’s AI does this automatically. If a patient’s response is vague or missing detail, the AI prompts for clarification in the moment, saving you endless email follow-ups and ensuring every answer makes sense.

  • Patient: “I guess my doctor explained some options.”

  • AI follow-up: “Can you share what those options were, and how clear you felt about them?”

  • Patient: “It was okay, but I didn’t feel fully involved.”

  • AI follow-up: “What was missing that would have made you feel more involved in the decision?”

Without these followups, you might walk away with half the story. With Specific, the responses are consistently more complete, richer, and truly useful—confirmed by recent studies showing that AI-driven conversational agents produce more informative open-ended survey answers [4]. Automatic AI follow-up questions change the game for survey quality.

Seeing the difference is believing—generate a survey, try answering your own questions, and watch the conversation naturally unfold.

These follow-ups are what make this a truly conversational survey, not just a long form.

Easy editing, like magic

Editing or customizing your patient shared decision-making survey is effortless with Specific’s AI survey editor. Want to add a new question, change the tone, or remove unnecessary prompts? Just describe what you want in plain language, and the AI instantly updates your survey with expert logic—no switching tabs, no tedious manual tweaks. Fast edits, big impact.

Deliver surveys anywhere patients are

Once your survey is ready, you have two effective, modern ways to deliver it:

  • Sharable landing page surveys: Perfect for clinics, hospital newsletters, or population health studies where you want to reach a wide set of patients outside a specific app. Share via email, SMS, or a QR code in-office.

  • In-product surveys: Embed directly inside patient portals or healthcare apps, prompting feedback when a user completes a telemedicine visit or logs a new prescription decision.

For shared decision-making, reaching patients at just the right moment (e.g., after a consult, in their digital health app, or via personalized invite) ensures higher engagement and more reflective answers—which is vital, because studies show patients more satisfied with shared decision-making report better treatment adherence and outcomes [1].

Instant AI survey analysis for actionable insights

The next pain point—analyzing results—is also solved with AI. Specific transforms every response into automatic insights, using AI survey analysis and AI-powered summaries to highlight key topics and patterns instantly. You can even chat directly with the AI about any result, so you know not only what patients said, but why they said it.

This lets you spend your time acting on feedback, not wrestling with spreadsheets. Grab more practical advice on how to analyze patient shared decision-making survey responses with AI.

See this shared decision-making survey example now

Try the survey yourself—see how conversational AI surfaces deeper insights, clarifies patient perspectives, and makes shared decision-making feedback effortless.

Try it out. It's fun!

Sources

  1. ncbi.nlm.nih.gov. Impact of Shared Decision-Making on Patient Satisfaction and Health Outcomes

  2. pubmed.ncbi.nlm.nih.gov. Communication Skills and Patient Satisfaction in Decision-Making

  3. theysaid.io. AI vs. Traditional Surveys: Response Rates and Data Quality

  4. arxiv.org. AI-driven Conversational Agents in Survey Research

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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.