Survey example: Patient survey about inclusion in care

This is an example of an AI survey example for Patient Inclusion In Care—see and try the example.

Building effective surveys for inclusion in care is a big challenge—traditional forms rarely capture the kind of context and insights we need from real patients.

Specific’s tools are built to solve these exact problems, drawing from deep research and real healthcare feedback so you don’t have to reinvent the wheel.

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

Most of us know how impersonal and tedious traditional Patient surveys can be. Patients often leave vague answers, skip important context, or drop out entirely. Manual survey builders are slow, rigid, and frankly, a headache to set up.

Here’s where AI survey generators come in. Instead of static multiple-choice grids, a conversational survey feels like a real chat. AI adapts follow-up questions based on what each Patient says, in real time—resulting in richer, more meaningful feedback.

Consider how fast AI in healthcare is evolving: by 2025, 77% of healthcare organizations will be actively investing in AI technologies. The industry sees this as a must-have shift, not a gimmick. AI survey generation is part of this, enabling teams to quickly launch deep, tailored surveys without starting from scratch [1].

Why use AI for Patient surveys?

• Higher completion rates, since it feels like chatting

• Follow-up questions that dig deeper when it matters

• Expert-level question design, even if you’re not a survey pro

We’ve made sure Specific delivers a best-in-class user experience for conversational surveys, so both you and your Patients get a smooth, valuable process—no friction, no extra steps. If you want to dive into tips for the best questions to ask in patient inclusion in care surveys, check out our deep-dive guide. And to learn how you could create your own, see this how-to on building Patient surveys for inclusion in care.

Automatic follow-up questions based on previous reply

Traditional Patient surveys usually don’t ask “why?” when a response is unclear—they just move on, leaving you with patchy, ambiguous data that’s hard to use. Specific changes all that by using AI to ask smart, contextual follow-up questions in real time, just like an expert researcher would. This makes a huge difference for inclusion in care research, where understanding Patient intent and nuance matters most.

These automated AI follow-ups save teams endless back-and-forth emails for clarification, ensuring you actually get the specifics you need. Here’s how skipping follow-ups leaves your insights flat:

• Patient: “I didn’t always feel involved in decisions.”

• AI follow-up: “Could you tell us more about a time you felt left out of a decision about your care?”

With this approach, we get clarity, not confusion. If you don’t ask those clarifying questions, you’re left guessing what Patients mean—a guess most teams can’t afford.

Automated follow-ups are a new standard. Give the AI survey example a try—you’ll see how much more actionable the insights are. Want to dive deeper into this feature? See our full guide to automatic AI follow-up questions.

Follow-ups transform feedback into a real conversation. That’s what makes it a genuine conversational survey—and a game changer for Patients and researchers alike.

Easy editing, like magic

Ever wanted to make a quick change to a Patient survey, but found yourself buried in dropdowns and logic trees? With Specific, editing is as easy as chatting. You just describe what you want in plain language, and the AI does the expert work—tweaking question flow, tone, or logic in seconds. If you want a question reworded or an entire new section, it’s done instantly. You can see more about this seamless workflow in our AI survey editor guide.

Ways to send your conversational Patient survey

When it comes to sharing inclusion in care surveys, flexibility is key. Specific supports two main methods:

• Sharable landing page surveys: Best for campaigns, Patient outreach, or when you need to collect feedback from people outside your product. Perfect for post-discharge feedback or patient focus groups after a hospital stay.

• In-product surveys: Great for embedding in Patient portals, apps, or digital health tools—so you catch people at the exact moment they use your service or review their care plan.

You can pick what works best—or use both for maximum reach. Either way, every survey stays conversational, personal, and fully trackable.

AI survey analysis: instant insights, zero spreadsheets

All those rich, nuanced Patient responses? Specific’s AI-powered survey analysis distills them into a clear summary, reveals themes, and highlights actionable insights instantly—no manual effort, no scripts, no spreadsheets. AI handles topic detection automatically, and you can literally chat with the AI about the results using built-in conversational analytics (here’s how the AI survey analysis works). Want a practical workflow? See our full walkthrough on how to analyze Patient Inclusion In Care survey responses with AI.

With this, analyzing survey responses with AI is effortless: you focus on action, not cleanup.

See this Inclusion In Care survey example now

Experience firsthand how an AI-powered Patient Inclusion In Care survey reveals deeper insights, automatically adapts to responses, and is effortless to create and analyze—give it a try and see the conversation in action.