This article will guide you on how to create a patient survey about affordability of care. With Specific, you can build your survey in seconds—no manual setup or expertise required.
Steps to create a survey for patients about affordability of care
Honestly, making a survey like this is a breeze with today’s AI survey generators. If you want to save time, just generate a survey with Specific—it doesn’t get simpler than that. Here’s all you do:
Tell what survey you want.
Done.
You don’t even need to read further. Specific uses AI with expert knowledge to create a high-quality, targeted patient survey about affordability of care. It even asks respondents smart followup questions automatically to unlock richer insights, making surveys conversational instead of one-and-done forms.
Why affordability of care surveys matter for patients
Patient feedback is one of the most overlooked opportunities for improvement in healthcare. If you’re not running surveys about affordability of care, you’re missing out on crucial data that can shape better patient experiences, improve care delivery, and reveal cost barriers before they drive patients away.
Here’s why it matters:
Surveys are a pivotal tool: They help you assess everything from treatment experiences to whether patients feel costs are explained or fair. 73% of healthcare organizations say patient surveys directly inform their service improvements. [1]
Actionable feedback: By actively listening to patients, you can tailor your service and improve trust and loyalty (not just compliance or scores). [2]
Regulatory compliance: Surveys often help meet regulatory requirements and identify gaps in care or communication. They clarify where real change is needed—much more than your intuition or a handful of anecdotes could ever do. [3]
Bottom line: using surveys on affordability of care isn’t just about collecting data. It’s about making ongoing improvements and giving every patient a voice. Not doing so leaves massive blind spots.
What makes a good survey on affordability of care?
If your goal is honest, useful feedback, your survey needs to be clear, conversational, and unbiased. The best surveys focus on:
Asking direct, unbiased questions (no leading wording)
Keeping a natural, friendly tone to encourage honesty
Including room for open feedback and context
Following up when you get vague answers (that’s where the gold is)
Think about your measure of success: You want a high quantity and quality of responses. If people drop off, or give one-word answers, the survey is failing you. Good design fixes that. Here’s a quick reference:
Bad Practices | Good Practices |
|---|---|
Loaded or biased questions | Neutral, clear phrasing |
Stuffy, formal language | Conversational, relatable questions |
One-size-fits-all form | Follows up for context when answers need it |
Question types and examples for patient survey about affordability of care
No one wants to fill out a boring checklist. The most insightful surveys mix question types, each with unique benefits for affordability of care feedback.
Open-ended questions invite patients to express what really matters to them. Use these early or when you want stories rather than just ticks in a box. For example:
Can you describe any difficulties you’ve faced affording your care?
What could make healthcare more affordable for you personally?
Single-select multiple-choice questions are perfect for structured data and spotting patterns fast. Use them when you need clear stats, but always design options to be mutually exclusive and cover all likely scenarios.
How often do you delay or skip care due to cost concerns?
Never
Rarely
Sometimes
Often
Always
NPS (Net Promoter Score) question can help benchmark overall sentiment about your pricing and value. Want to try one? You can generate a NPS survey for patients about affordability of care in seconds. Example:
On a scale from 0 to 10, how likely are you to recommend our clinic to others, based purely on affordability?
Followup questions to uncover "the why": The magic happens when you dig deeper. Any time you get vague or one-word replies, followups let you ask for real context, which helps you get beyond “surface” data. For example:
Can you tell me more about a time when cost stopped you from getting care?
What would have changed your mind, if anything?
If you want to dive deeper into sample questions, or see expert tips on crafting them, check out best questions for patient survey about affordability of care.
What is a conversational survey?
A conversational survey is exactly what it sounds like: questions feel like a chat—not a cold, static form. The AI adapts its wording, tone, and follow-ups based on each patient’s answers. It’s personalized, simple, and most of all, human.
Here’s how AI survey generation is a game-changer:
Manual surveys | AI-generated surveys |
|---|---|
Rigid forms with static questions | Dynamically adapts and probes for detail |
Slow and tedious to build and edit | Instant creation, easy conversational updates |
Low engagement (people abandon halfway) | Higher completion and richer answers |
Why use AI for patient surveys? It’s simple: you get *expert-level survey design* in seconds, plus the power of real-time followup questions that never feel robotic. If you want hands-on tips for building your own conversational survey, check our guide to creating a survey—it’s packed with practical advice.
Specific delivers the best-in-class user experience in conversational surveys, making the entire process smooth for both you and your patients. Whether you need quick quantitative data or in-depth stories, an AI survey example from Specific will deliver the kind of engagement and insight you won’t get with legacy tools.
The power of follow-up questions
If you want real insight about affordability of care barriers, you have to move beyond one-and-done checkboxes. Follow-up questions are where the real stories and actionable details come from. This is what makes conversational, AI-powered surveys special. Specific asks smart follow-ups in real time—just like an expert interviewer—so you don’t chase people afterward via email or lose the thread of their experience.
With automated followups, you avoid confusion and get context right away. Here’s how things can go off track without them:
Patient: “Sometimes it’s hard to pay for visits.”
AI follow-up: “Can you share an example of when paying for a visit was difficult? What would have made it easier?”
How many followups to ask? Usually, 2–3 well-placed followups are enough to clarify and expand on any answer. It’s best to give patients the option to continue or skip if they’ve shared enough context. With Specific, you can set this balance so you never overwhelm anyone or miss critical detail.
This makes it a conversational survey: Each exchange feels like a real conversation, encouraging honesty and detail without ever being intrusive.
AI response analysis, qualitative insights, text summaries: Thanks to AI, analyzing dozens (or hundreds) of open-text or follow-up answers is easy. If you want to know how, check out AI survey response analysis and our guide on how to analyze responses from patient affordability surveys.
These automated follow-up questions are a whole new concept for healthcare—give it a shot by generating a survey and see how natural and revealing this approach can be.
See this affordability of care survey example now
Get inspired by a real AI-powered patient survey on affordability of care—created and ready to go in seconds. Unlock deeper insights, higher completion rates, and a conversational experience your patients will actually finish.