Survey example: Patient survey about patient portal usability

Create conversational survey example by chatting with AI.

This is an example of an AI survey for a patient survey about patient portal usability—see and try the example to experience the power of conversational AI surveys yourself.

Most patient portal surveys are a pain to design and rarely lead to rich, actionable insights. It’s tough to get real feedback from patients who don’t have time for long, boring forms.

At Specific, we help teams create smarter, conversational surveys powered by AI—making patient feedback easy, insightful, and even enjoyable.

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

Designing engaging patient portal usability surveys is a real challenge. Traditional survey forms often get low response rates, with patients dropping off after the first few questions or submitting incomplete answers. But conversational surveys—built with AI—change the game entirely.

Unlike old-school forms, an AI survey example simulates a chat. It feels more natural and interactive, which makes patients more willing to respond thoughtfully. Here’s how these approaches stack up:

Aspect

Manual surveys

AI-generated surveys

Engagement

Low

High

Response quality

Inconsistent

Consistent and rich

Time to create

Long and tedious

Quick and simple

Why use AI for patient surveys?

  • Less drop-off, more context: Conversational surveys powered by AI can increase patient participation by up to 50%, simply by making it feel like a real conversation rather than a test or exam. Patients actually enjoy the process, so they finish more frequently and give deeper feedback. [1]

  • Automatic follow-ups for richer insights: AI detects vague answers and asks another question on the spot, turning “it was okay” into real detail you can act on.

With Specific, you're getting industry-leading experience in conversational surveys. From first question to last, the feedback process just flows—easy for you, and painless for patients. To see how you can choose questions that get results, check out our guide to the best questions for patient surveys about portal usability.

Automatic follow-up questions based on previous reply

With Specific’s AI, every survey becomes smarter. Instead of collecting generic “agree/disagree” replies, our surveys generate automatic follow-up questions in real time—right after each patient’s reply. This means we capture the real voice of the patient as the conversation unfolds, just like an expert interviewer would in person.

Automated follow-ups aren’t just a nice-to-have. When clinics send out email surveys, they rarely have the capacity to chase up ambiguous answers. Specific’s AI solves that instantly—no chasing, no extra work. Here’s how feedback often goes without and with smart follow-ups:

  • Patient: “It’s okay, I guess.”

  • AI follow-up: “Could you tell me what you like and dislike most about using the portal?”

Without that follow-up, you’re left guessing about what’s “okay” or which areas need attention. Our automatic AI follow-up questions feature ensures nothing gets lost in translation—a new paradigm for actionable patient feedback.

You really have to try generating an AI survey and see how these smart follow-ups feel in action. They make surveys a two-way conversation, transforming what would have been just another form into a conversational survey example you’ll actually use.

Easy editing, like magic

Making changes to your patient portal usability survey takes seconds with Specific’s AI survey editor. You just tell the AI what you need: add a question, tweak the wording, or set the tone. Everything updates automatically—no need to mess with clunky forms or worry about missing logic.

The AI does the expert-level heavy lifting, so you simply focus on what you want to learn. Whether you’re making edits mid-project or rolling out a new version based on fresh requirements, it’s all done in real time, with next to zero friction.

Effortless survey distribution for patient portal usability

Delivering your survey is as important as designing it. With Specific, you have two flexible ways to get your patient portal usability survey in front of the right people:

  • Sharable landing page surveys: Perfect for emailing patients after an appointment or sharing through your practice’s newsletter. This format makes it easy for patients to respond wherever they prefer—on mobile, tablet, or desktop.

  • In-product surveys: Show your survey inside the patient portal itself. For example, after a user checks their lab results, a conversational survey can pop up as a friendly widget—gathering timely, contextual feedback directly from the source. This is hugely effective when you want feedback on specific features and workflows.

For patient portal usability in particular, in-product surveys are almost always the best choice, as you reach people in the moment they’re using the relevant features—but you aren’t limited if a landing page survey makes sense for your patient engagement strategy.

Effortless analysis of survey responses using AI

Once patient responses roll in, Specific’s AI-powered survey analysis tools instantly summarize every answer, pulling out the biggest themes and actionable insights. There’s no need for spreadsheets or hours spent coding responses. Features like automatic topic detection, instant summaries, and the ability to chat directly with the AI about your data make analyzing survey responses with AI refreshingly simple.

Get all the guidance you need by reading how to analyze patient portal usability survey responses with AI—especially if you’ve felt stuck making sense of open-ended feedback in the past.

See this patient portal usability survey example now

See how an AI conversational survey transforms patient feedback into real insights—try the example to experience fast, focused survey creation and smarter results.

Try it out. It's fun!

Sources

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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.