Survey example: Citizen survey about pedestrian safety

Create conversational survey example by chatting with AI.

This is an example of an AI survey about pedestrian safety for citizens—see and try the example to experience how a conversational survey works in practice.

Designing a truly effective citizen pedestrian safety survey is no small feat—most fall short by failing to dig for real insight or engaging people long enough to get actionable answers.

At Specific, we focus on making conversational surveys both intuitive for citizens and powerful for researchers, combining expert logic and AI innovation to set the new standard in feedback collection.

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

Most citizen pedestrian safety surveys suffer from the same pitfalls: they’re tedious, generic, and result in incomplete answers. Traditional forms might ask about crosswalk safety or hazardous intersections—but when the questions are static and impersonal, citizens drop off early or provide bland, unusable feedback. AI-powered surveys flip the script by conducting a two-way conversation—making every response count.

AI survey generators like Specific take all the heavy lifting out of survey creation. Instead of slogging through endless form templates or wrestling with complicated question logic, you just describe what you want—AI builds the structure and logic dynamically. This means you get:

  • Language that feels like a real conversation—not a bureaucratic form

  • Dynamic follow-ups that clarify, probe, and adapt to each citizen’s answer

  • Data that’s immediately more meaningful, because it’s rooted in lived experience

Why use AI for citizen surveys?

  • Higher completion rates: AI-powered surveys achieve completion rates between 70% and 90%, compared to 10% to 30% for traditional methods. That’s a jaw-dropping leap in engagement, driven by the conversational approach and AI’s ability to personalize the journey. [1]

  • Faster launch: AI generators can build and launch a new survey in minutes, instead of hours or days manually tweaking forms.

  • Deeper insight: Automated follow-ups provide context behind every answer, making the data more actionable for public safety initiatives.

Manual surveys

AI-generated surveys

Static, one-size-fits-all forms

Adapts in real time to citizen responses

High effort, low response rates

Friendly chat—higher engagement

Manual analysis of messy data

AI distills insight instantly

Specific delivers best-in-class user experience in conversational surveys, making the feedback process as smooth for citizens as it is insightful for researchers. If you want to know what questions work best for this context, see our guide on best questions for citizen pedestrian safety surveys.

Automatic follow-up questions based on previous reply

Follow-up questions make all the difference if you want real, usable feedback. Specific instantly asks smart, relevant follow-ups based on every previous reply—just like a thoughtful interviewer would. This conversational approach turns ambiguity into clarity and surface-level responses into full stories. Learn more about automatic AI follow-up questions here.

Imagine you’re doing a survey on pedestrian safety:

  • Citizen: “I don’t feel safe at the crosswalk near the park.”

  • AI follow-up: “Can you share what specific issues at that crosswalk make you feel unsafe? For example, is it the lighting, traffic, or something else?”

  • Citizen: “Sometimes drivers don’t stop for me.”

  • AI follow-up: “How often does this happen? Do you think additional signage or signals would help?”

Without these follow-ups, you’re left with vague responses that don’t help city planners make real changes. Instead, automated probing provides richer context and more actionable insights—automatically, and without extra manual work. This real-time adaptability is why AI surveys can boost engagement and data quality, as recent research confirms. [3]

If you haven’t tried this yet, generate a citizen pedestrian safety survey and watch how the AI follows up in real time. Those follow-ups turn the process into a true conversation—this is what makes a conversational survey.

Easy editing, like magic

Want to change a question or add a focus on a certain intersection? With Specific, editing your conversational survey is as easy as chatting. Just write what you want changed—the AI survey editor rewrites your survey instantly, adding expert logic and best practices every time. Learn more about survey editing in Specific.

Tweaking language, questions, or follow-up depth takes seconds, not hours. The result: you spend time acting on citizen feedback, not wrestling with survey forms.

Easy delivery to citizens: shareable pages or in-product

Getting your survey to the right citizens at the right moment is crucial for participation and data quality. With Specific, you can:

  • Sharable landing page surveys: Perfect for citywide outreach—simply distribute a dedicated link via email, newsletters, or social media campaigns so any citizen can provide input on pedestrian safety, wherever they are.

  • In-product surveys: If your city or organization runs a website or app for municipal services, trigger contextual surveys right where citizens are managing requests or reading safety info. For example, ask about local crosswalk safety just after someone uses your map or parks reporting tool.

For pedestrian safety, sharable landing pages are usually best for broad, public input—but don’t underestimate in-product opportunities for targeted questions or post-interaction follow-ups.

Analyze survey responses instantly with AI

Once responses start coming in, let AI do the heavy lifting. Specific’s survey platform uses AI to summarize responses, detect key themes automatically, and highlight actionable priorities—all within minutes, no spreadsheets required. You can even chat directly with the AI about your results, diving deep into what matters most for pedestrian safety initiatives. Learn exactly how to analyze citizen pedestrian safety survey responses with AI and turn raw feedback into clear insights fast.

This approach to AI survey analysis and automated survey insights means less manual crunching and more time making informed decisions that keep people safe. [2]

See this pedestrian safety survey example now

Experience how a conversational AI survey can transform your pedestrian safety research—see the survey example, interact with the logic in real time, and discover insights hidden in everyday conversations.

Try it out. It's fun!

Sources

  1. superagi.com. AI vs Traditional Surveys: A Comparative Analysis of Automation, Accuracy, and User Engagement in 2025

  2. seosandwitch.com. AI Customer Satisfaction Stats: Why AI is Essential for Modern Business Success

  3. theysaid.io. AI vs. Traditional Surveys: How AI-driven Feedback Powers Superior Customer Insights

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.