Create your survey

Create your survey

Create your survey

How to create citizen survey about public health information access

Adam Sabla - Image Avatar

Adam Sabla

·

Aug 22, 2025

Create your survey

This article will guide you step-by-step on how to create a citizen survey about public health information access. With Specific, you can build a conversational survey for citizens in seconds—no expertise required.

Steps to create a survey for citizens about public health information access

If you want to save time, just click this link to generate a survey with Specific.

  1. Tell what survey you want.

  2. Done.

Honestly, that’s all it takes. You don’t even need to read the rest. The AI handles expert survey building for you, and it’ll automatically ask your respondents follow-up questions to gather meaningful insights—far beyond what most traditional surveys can do. If you want total control or custom tweaks, you can always start with the AI survey builder and explore semantic survey options.

Why a citizen survey about public health information access matters

Let’s talk about why these surveys aren’t just a checkbox exercise—they shape real decisions. Understanding how citizens get their health facts is the first step in improving outreach, reducing misinformation, and building trust. If you’re not running these, you’re missing out on opportunities to:

  • Discover where people actually get health information (not just where you hope they do)

  • Spot differences in access between various communities or demographics

  • Identify gaps where public health messaging just isn’t landing

For example, a Douglas County, Nebraska study showed that the Internet and health professionals are the top health information sources for citizens, followed by print media, peers, and broadcast media [1]. If you don’t know what channels your community trusts, you can’t design effective health interventions—and risk wasting valuable resources.

Moreover, comprehensive health surveys have driven national programs, guidelines, and even laws in countries like Finland [2]. Skipping relevant citizen surveys means you miss out on actionable insights that could steer policy and improve health outcomes for everyone. The importance of a citizen recognition survey and tapping into real citizen feedback isn’t something to overlook.

What makes a good survey on public health information access?

Not all surveys are helpful. A strong public health information access survey should combine:

  • Clear, unbiased questions: Don’t lead people. Make questions neutral and simple.

  • Conversational tone: A friendly, human tone encourages honest, nuanced responses.

  • Relevant follow-ups: Dig deeper than surface-level answers.

Bad Practices

Good Practices

Jargon-heavy language

Everyday, clear words

“Yes/No” only choices

Encourage stories and context

No follow-up questions

Probe for depth and clarity

The best way to tell if your survey works? You get both lots of responses and honest, useful insights. High quantity means good reach, high quality means you can actually use what you learn.

What are question types with examples for citizen survey about public health information access?

The right mix of question types gives you the best shot at extracting honest and actionable feedback from citizens. You’ll lean most on open-ended questions, single-select multiple choice, NPS questions, and context-sensitive follow-ups. Want to dive even deeper? We’ve got a list of the best questions for citizen survey about public health information access and detailed tips on how to phrase them.

Open-ended questions let citizens explain in their own words, which surfaces rich stories and unexpected insights. Use these when you want qualitative data or to spark branching conversations, especially around “how” and “why”. Examples:

  • How do you usually find out about important public health updates in your area?

  • What barriers have you faced when trying to access reliable health information?

Single-select multiple-choice questions work great for standardization—especially to compare results at scale or across demographics. Use them when you want to spot trends or quantify answers without manual coding. Example:

Where do you most frequently get information about public health topics?

  • Internet/search engines

  • Healthcare professionals

  • Television/radio

  • Printed newspapers or magazines

  • Friends/family

  • Other (please specify)

NPS (Net Promoter Score) question is ideal for measuring trust or satisfaction with current sources of health information, and it’s even better with AI-driven follow-ups. You can instantly generate a NPS survey for citizens on this topic. Example:

On a scale from 0-10, how likely are you to recommend your primary source of public health information to a friend or family member? Why?

Followup questions to uncover "the why": Whenever an answer is vague, surprising, or especially important, it’s a prime moment for a follow-up. This is how you turn basic survey data into actionable intelligence. For example, if a respondent says they “don’t trust online health sites,” a follow-up might ask “What specifically causes you to doubt these sources?” Examples:

  • Can you tell me more about your experience with your chosen information source?

  • What would make it easier for you to access reliable health information in your community?

If you want even more inspiration or advanced question logic, explore more public health information questions and tips in our guide.

What is a conversational survey?

A conversational survey is not a boring form—it’s a dynamic, chat-like interaction. Each question flows naturally from the last one, responding to the citizen’s actual answers with empathy and expertise. That’s where AI survey generation shines: instead of manually crafting hundreds of variants, you let the AI handle follow-ups, clarification, and tone in real time. This approach outperforms traditional survey forms because it feels natural, drives higher completion rates, and uncovers richer insights.

Manual survey

AI-generated conversational survey

Pre-written, static questions

Dynamic, context-aware follow-ups

Rigid structure, no branching

Feels like a real conversation

High mental effort to design

Survey is auto-built by expert AI

Why use AI for citizen surveys? Because life’s too short for clunky forms and lackluster response rates. An AI survey example taps expert logic, adapts questioning on the fly, and removes friction. You never have to worry about missing key follow-ups; the system does it automatically.

Specific offers best-in-class experience for conversational surveys, making feedback simple and engaging for both you and your citizens. If you’re ready to experience an intuitive, modern approach, check out our guide to creating a survey for practical how-to steps.

The power of follow-up questions

Let’s focus on arguably the secret sauce: smart, real-time follow-ups. If you don’t ask the right follow-ups, you’ll end up with shallow or ambiguous responses, losing the chance for true insight. Every AI-powered [conversational survey](https://specific.app/automatic-ai-follow-up-questions) with Specific dynamically asks questions based on real context, leading to honest, specific answers. Here’s what happens if you skip this:

  • Citizen: I usually get my health info from the Internet.

  • AI follow-up: Which websites or platforms do you trust most, and why?

This turns a vague reply into one bursting with usable details. Automated follow-ups remove the pain of granular email chains—they make the survey itself clear, efficient, and engaging.

How many followups to ask? In practice, 2-3 well-placed follow-ups are usually enough for context and richness. Always allow people to skip if they’ve said all they want. Specific’s AI lets you control this level of probing for just the right balance.

This makes it a conversational survey: The chatty, adaptive style is what makes these AI surveys genuinely feel like a back-and-forth interview, not an interrogation.

Easy AI analysis: Analyzing large volumes of open-text responses is easier than ever. You can let the AI categorize responses, summarize themes, or even chat with the data directly. Even huge, unstructured datasets become manageable. If you want an interactive experience, see how AI survey response analysis works in Specific’s platform: AI survey response analysis.

These automated, real-time followup questions are genuinely next-generation. Go ahead, generate a survey to see for yourself!

See this public health information access survey example now

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Sources

  1. PubMed. Health information source preferences among Douglas County, Nebraska, citizens

  2. Archives of Public Health. The impact of health surveys in Finland

  3. BMC Public Health. Barriers in the utilization of health survey data: a systematic review

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.

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.

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.