Survey example: Patient survey about affordability of care
Create conversational survey example by chatting with AI.
This is an example of an AI survey about affordability of care designed for patients—see and try the example to experience conversational feedback collection in action.
Creating effective patient affordability of care surveys is tough: generic forms miss context, few patients complete them, and actionable insights get lost in translation.
Specific is a leader in conversational survey technology—our tools make building, running, and analyzing patient surveys genuinely easy and insightful.
What is a conversational survey and why AI makes it better for patients
Healthcare professionals constantly run up against the classic problem: traditional affordability of care surveys for patients are flat, slow, and see exceptionally low completion rates. Respondents abandon halfway, leaving you with partial data and vague answers—usually because the forms are long or impersonal. With the rise of AI survey generators, we can finally change this game.
AI survey examples, especially those designed for healthcare scenarios, provide a highly conversational, chat-like interaction for patients. Instead of one-way forms, the patient is greeted by a natural flow of questions, getting follow-ups as needed. The survey adapts intelligently, skipping irrelevant sections and keeping engagement high. And the impact is measurable: AI-driven surveys routinely achieve 70%-90% completion rates, while traditional surveys average only 10%-30%—AI boosts engagement because it adapts in real time to each respondent's journey. [1]
Manual Surveys | AI-generated Conversational Surveys |
---|---|
Generic form, same for everyone | Adapts to each patient's situation in real time |
Low completion and high abandonment | High completion, more thoughtful responses |
Requires manual follow-ups via email or calls | Follows up instantly, gathering deeper context |
Impersonal—feels like paperwork | Feels like a natural conversation |
Why use AI for patient surveys?
Surveys can skip irrelevant or sensitive topics—personalizing the experience for each respondent.
Higher engagement: Studies show that over 80% of patients participate when surveys are chat-based or sent via text, with more than 82% rating this experience positively. [2]
Abandonment rates plunge: AI-powered patient surveys have only 15%-25% abandonment rates, compared to 40%-55% for old-school forms. [3]
With Specific, you get best-in-class user experience and conversational survey design—patients engage naturally, and you get the feedback you need for real insights. Want to know what to ask? Check out our guide to the best patient survey questions about affordability of care.
Automatic follow-up questions based on previous reply
Specific’s AI shines brightest in the moment—a patient gives an answer, and instead of moving on, the survey responds with smart, in-context follow-ups. This mimics a skilled interview, adapting instantly to each answer. It’s not only a timesaver (no chasing unclear responses via email), but also leads to higher clarity and richer understanding.
Patient: "Sometimes my insurance covers things, but I’m still out of pocket a lot."
AI follow-up: "When you say you’re still paying out of pocket, which expenses have been the most difficult to manage recently?"
Patient: "Care is usually affordable for my regular medications."
AI follow-up: "Are there certain treatments or procedures that were much less affordable than your regular prescriptions?"
If follow-up questions are skipped, you’re left with vagueness and guesswork—leaving analysis frustrating, or worse, misleading. Want to see how conversational followups supercharge context? Try generating a patient affordability of care survey and see for yourself, or explore how follow-ups work in detail in our AI follow-up questions feature overview.
These AI-driven followups make the survey a real conversation—delivering a true conversational survey experience every time.
Easy editing, like magic
Need to tweak a question or add a new section? With Specific, editing your patient affordability of care survey is as simple as chatting. You just tell the AI what needs to change—the survey updates instantly, using best practices and expert logic under the hood. The tedious parts are completely automated: you can do in seconds what used to take hours with static survey tools. Dive deeper into easy editing through our AI survey editor walkthrough.
Flexible survey delivery: landing pages or in-product
You can deliver your patient affordability of care survey in the way that fits your workflow and audience best:
Sharable landing page surveys: Create a unique link to your AI survey—send it directly via email, SMS, or post it on patient portals. Ideal for reaching patients after a visit, or for post-care feedback about affordability concerns.
In-product surveys: Embed the conversational survey into a healthcare portal or patient dashboard—perfect for capturing feedback at the moment patients are actively reviewing bills, booking appointments, or managing medication orders.
For a deeper dive into step-by-step survey creation, check out our guide on how to create a patient survey about affordability of care.
AI survey analysis: instant insights from patient responses
Specific turns raw survey data into actionable insights in seconds. Our AI survey analysis tools instantly surface key themes, summarize every response (even open-ended ones), and let you chat directly with AI to explore patterns—no spreadsheets, pivots, or manual sorting. Automatic topic detection helps you quickly spot big issues around care costs, insurance confusion, or financial barriers. You can learn more about how to analyze patient affordability of care survey responses with AI or see feature details in our AI response analysis guide.
See this affordability of care survey example now
Experience how AI-powered conversational surveys can help you truly understand what matters to your patients—see the example now and discover a smarter, easier way to collect and analyze affordability of care feedback.
Related resources
Sources
superagi.com. AI vs Traditional Surveys: A Comparative Analysis of Automation, Accuracy, and User Engagement in 2025
dialoghealth.com. More than 80% of patients willing to take satisfaction surveys by text
theysaid.io. AI vs Traditional Surveys: Why AI Surveys Are Winning Over Respondents