Survey example: Patient survey about trust in provider

Create conversational survey example by chatting with AI.

This is an example of an AI survey for patients about trust in their healthcare provider—see and try the example to experience a truly conversational approach to feedback.

Creating effective patient trust in provider surveys isn’t easy. Many struggle to get honest responses or clear insights, especially when traditional forms feel like a chore for both sides.

At Specific, we draw on deep expertise to help you craft meaningful conversational surveys, powered by AI, for actionable healthcare feedback.

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

Anyone who’s tried to launch a traditional patient trust in provider survey knows the pain: response rates are often low, questions feel impersonal, and you’re left with answers that rarely tell the whole story. We’ve seen this challenge firsthand, especially as over 70% of U.S. adults feel the healthcare system fails to meet their needs[1], with nearly half lacking trust in their providers[2]. That makes it even more critical to have a survey method that feels engaging, accessible, and sensitive to what patients want to share.

Conversational surveys, powered by AI, transform this experience. Instead of being a static form, these AI survey examples work more like a chat conversation. The respondent feels heard, questions adapt based on what they say, and the whole process is less intimidating—especially for those discussing sensitive trust issues.

Here’s how a manual survey process stacks up against an AI survey builder:

Manual Survey

AI-Generated Conversational Survey

Impersonal, static questions

Adaptive, respondent-driven questions

Prone to unclear, incomplete answers

Smart follow-ups clarify context in real time

Low engagement and completion rates

Personalized, natural chat feel boosts participation

Slow to set up and iterate

Edit and launch new versions in seconds

Why use AI for patient surveys?

  • Higher completion rates: AI-powered surveys see 70-80% completion, far above the 45-50% of traditional forms[3].

  • Adaptive experience: The survey feels like a real conversation—patients are more likely to respond from the heart.

  • Instant insights: Every answer is analyzed in real time, so you see emerging trends as responses roll in.

  • Less work for you: AI handles both survey creation and response analysis.

Specific offers best-in-class user experience for these conversational survey formats, making both the creation and feedback process as smooth as possible. Anyone can use the AI survey builder to create a new template, or try this preset for trust in provider, all in just a few minutes.

Automatic follow-up questions based on previous reply

This is where the real power of conversational, AI-driven surveys shines. With Specific, the survey isn’t just one-and-done—the AI asks smart, contextual follow-up questions, exactly like a skilled interviewer would. If a patient gives a vague answer about their trust in their provider, the AI can gently nudge for more detail or clarify a confusing point, all in real time.

This results in richer, more actionable insights, and it also saves your team the hassle of chasing down clarifications via endless email threads (or worse, missing key pain points altogether). Here’s what it looks like if you skip follow-ups versus when the AI steps in:

  • Patient: “The visit was fine.”

  • AI follow-up: “Could you share more about what made your visit ‘fine’? Were there aspects that helped you trust your provider, or anything that gave you pause?”

Automated AI follow-up questions are a game-changer—curious about how it feels in practice? Try generating your own survey and let the feedback flow.

Thanks to these automatic followups, the survey becomes a real conversation, not just a set of disconnected questions. That’s what makes this a true conversational survey.

Easy editing, like magic

Making edits to these AI-driven conversational surveys is simple and fast—almost like magic. You just describe what you want changed in plain language (in chat), and the AI handles everything: adding, rephrasing, moving, or even changing the logic behind questions, flawlessly and instantly. No complicated form builders, endless toggles, or waiting for research team input—just a seamless AI survey editor that lets us iterate in seconds, not days.

Ways to deliver your patient trust survey

Once your patient trust in provider survey is ready, choose the best way to reach respondents—delivering the survey where it makes the most sense:

  • Sharable landing page surveys: Ideal for clinics, patient advocacy groups, or public health studies. Send the link via email, text, or QR code—no app required. Great for reaching patients before/after appointments or among wider patient groups across locations.

  • In-product surveys: Embedded directly into a health app or patient portal. Perfect if you want to collect feedback right after a telemedicine session or when a patient checks in/out of their account—no extra clicks, just seamless flow with existing care journeys.

Both delivery options are easy to use and mobile-friendly, so patients can share their feedback however (and wherever) it’s most natural for them.

AI survey analysis: actionable results in real time

After launching your survey, AI-powered analysis through Specific instantly summarizes every patient’s response, detects common topics, and surfaces key themes—no spreadsheets or manual coding. You get actionable, automated survey insights within minutes, thanks to features like real-time theme detection and the option to directly chat with AI about your survey results.

Curious about best practices? Check out this detailed guide on how to analyze patient trust in provider survey responses with AI.

See this trust in provider survey example now

Ready to experience a smarter way to gather honest patient feedback? See and try this AI survey example for trust in provider—a conversational experience with deeper insights, better response rates, and expert-level analysis built in.

Try it out. It's fun!

Sources

  1. TIME. In a 2023 survey, over 70% of U.S. adults felt that the healthcare system failed to meet their needs, citing high costs, inaccessibility, and confusing logistics as primary concerns.

  2. PubMed. A study across 21 countries found that 44.1% of respondents lacked trust in healthcare professionals, with trust levels varying significantly by country.

  3. SuperAGI. AI-powered surveys have demonstrated higher completion rates (70-80%) compared to traditional surveys (45-50%), attributed to their adaptive nature and personalized respondent experiences.

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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.