Survey example: Citizen survey about street lighting

This is an example of an AI survey example for a citizen survey about street lighting—see and try the example to experience the conversational flow firsthand.

Getting actionable feedback from citizen street lighting surveys is tough. Responses are often incomplete, drop-off rates are high, and you rarely get the full story.

Specific powers every tool on this page, helping you create high-impact, AI-driven surveys and putting us at the forefront of conversational feedback innovation.

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

Traditional citizen street lighting surveys frustrate everyone involved. Respondents often find the process tedious, while organizers struggle to gather clear, usable insights. It’s an uphill battle: citizen engagement wanes and meaningful participation slips through the cracks.

This is where AI survey generators completely change the game. Instead of static, impersonal forms, we use conversational surveys: natural, chat-style interviews where an AI adapts questions in real time based on each answer. The result? A smoother, more personal experience that increases both the quantity and quality of responses.

Why Conversational Surveys Work:

• Feels like a chat: Respondents answer in a familiar, mobile-friendly way—no more form fatigue.

• AI adapts live: The survey automatically asks clarifying, relevant follow-ups based on real answers.

• Efficient for all: Gathering nuanced feedback takes minutes, not hours.

Manual vs. AI-generated surveys:

Why use AI for citizen surveys?

• AI-powered surveys achieve between 70% and 90% completion rates, far outpacing the 10–30% range of traditional forms.[1]

• Abandonment rates drop from 40–55% to just 15–25% using personalized, conversational AI.[3]

Specific offers the best experience in creating and distributing conversational surveys. It’s designed so both citizens and creators find every step smooth, engaging, and easy. If you want to dig deeper into the best questions for citizen street lighting surveys, you’ll find a helpful guide here as well.

Automatic follow-up questions based on previous reply

One of the key things that makes a survey conversational—not just a glorified form—is smart, real-time follow-up questions. At Specific, our AI asks clarifying questions based on the citizen’s actual answers and context, just like a skilled interviewer. This brings you richer, more complete insights (and saves the pain of endless email follow-ups later).

If you don’t ask follow-ups, here’s how feedback can fall flat:

• Citizen: “Some streetlights don’t work on my block.”

• AI follow-up: “Can you tell us which street or intersection has the faulty lights? How long have they been out?”

• Citizen: “They’re too bright near my window.”

• AI follow-up: “How does the brightness affect your comfort at night? Would you prefer dimmer lights or shields installed?”

This kind of conversational AI survey example lets you drill down, instantly clarifying what matters most. Give it a spin—once you’ve tried generating a survey, you’ll see the experience is nothing like a static form.

Automatic follow-ups transform any survey into a two-way conversation. That’s the heart of a true conversational survey. Learn more about this feature here.

Easy editing, like magic

Tweaking your citizen street lighting survey couldn’t be faster. Want to change a question, add a follow-up, shift the tone, or clarify the language? Just chat with the AI survey editor—instruct it in plain English and see the updates instantly. The heavy lifting (logic, expert wording, structure) is all handled for you, so making changes takes seconds, not hours. Learn more about using the AI survey editor.

Survey delivery: landing pages and in-product options

Specific gives you two simple, effective ways to share your survey. Choose the method that fits your outreach strategy (or use both):

• Sharable landing page surveys: Perfect for public outreach, neighborhood associations, or posting on a city website. Citizens use a link to access the conversational survey using any device. Great for mass participation campaigns on street lighting issues.

• In-product surveys: Collect feedback from residents using your city app or municipal website. AI-driven surveys appear as a chat widget at the right moment (e.g., after service requests). Ideal for context-specific insights, direct from active residents.

For most citizen feedback on street lighting, sharable landing pages are a safe bet. If you’re running a smart city app or digital service, in-product targeting yields highly contextual input.

AI-powered survey analysis, insights, and reporting

Once responses start flowing in, Specific’s AI-powered survey analysis kicks into gear. It automatically summarizes feedback, detects key themes, and highlights actionable insights—without manual sorting or spreadsheets. Thanks to automatic topic detection and chat-based reporting, it’s easy to dive deep or get top-level takeaways in seconds.

If you want to know more on how to analyze citizen street lighting survey responses with AI, we’ve detailed everything for you.

See this street lighting survey example now

Experience instantly personalized follow-ups and rapid AI analysis for yourself—see the street lighting survey example and discover how conversational feedback completely changes citizen engagement.