Survey example: Inactive Users survey about barriers to returning

Here’s an AI survey example: a conversational Inactive Users survey about barriers to returning—see and try the example. Re-engaging users who’ve gone quiet is crucial, but building surveys for this is often tough, time-consuming, and prone to low response rates. Every tool on this page is from Specific, designed to make insightful feedback effortless and actionable using AI.

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

Let’s be honest: designing effective surveys for inactive users who’ve churned or disengaged is hard. Traditional online forms rarely grab attention, and follow-up rates often fall short. The tech industry averages a 65% response rate, but normal online surveys land closer to just 33%—it’s a significant hurdle to reconnect with users successfully. [1]

AI survey examples change the equation. Instead of clunky, static questionnaires, they feel more like chatting with a smart, attentive interviewer. With an AI survey generator, you simply describe what you need—and get a tailored, conversational survey that adapts in real time to each respondent. Compared to manual survey building, AI handles the heavy lifting: smart question logic, dynamic probing, on-brand tone, all created in seconds. Here’s a quick look at what’s different:

Why use AI for inactive users surveys?

AI-driven conversational surveys produce better quality data and more engaging experiences. Studies show AI-powered chatbots elicit responses that are more informative, clear, and specific[4]. Users feel heard, and you get actionable feedback—not just short “meh” answers. That’s why Specific makes it effortless to build these surveys: seamless for creators, frictionless for respondents. If you want a breakdown on the best questions to ask, check out this guide to the best questions for barriers to returning surveys.

Automatic follow-up questions based on previous reply

The conversational magic comes from automated, AI-powered follow-up questions. Specific’s AI reads each response in real time and digs deeper just like an expert would—probing, clarifying, and exploring “why” a user feels the way they do about returning. This not only saves you countless hours (no more chasing users over email for clarification) but also ensures the data you get is rich with context.

• Inactive user: “I stopped using it because it didn’t meet my needs.”

• AI follow-up: “Can you share a specific feature or experience that felt missing or disappointing?”

Without following up, you’d be left guessing. Instead, follow-ups make the exchange smooth and natural, so you really understand barriers to returning. Curious about how this works? Experience how easy it is to generate a conversational AI survey with context-aware follow-ups, or if you want to create a custom survey about anything else from scratch, try the AI survey generator yourself.

These follow-ups are what turn the survey from a static form into a genuine conversation. That’s the heart of a conversational survey—collecting “why” and “how” behind the answers. Learn more in depth about automatic AI follow-up questions and why they’re a breakthrough for feedback quality.

Easy editing, like magic

Editing your Inactive Users barriers survey with Specific feels like texting an assistant. Just ask for the changes you want—shorter questions, different tone, extra probes—and the AI takes care of the rest. Forget juggling spreadsheet columns or logic trees. Edits happen in seconds, and you always get expert-quality output, every time. If you want to see more, check out the AI survey editor feature.

Simple sharing: landing pages or in-product

You control exactly how and where your survey reaches users:

• Sharable landing page surveys — Send a link by email, post in a user community, or share in a re-engagement campaign. Perfect for reaching inactive users outside your product, for example:

  • Target former customers after a period of inactivity

  • Send a friendly “We miss you” invite with the survey link

• In-product surveys — Embed directly where returning users log in or revisit, with targeting to catch just the right segment. Particularly effective for in-app winback flows or post-login check-ins.

For most audit or “barriers to returning” surveys, landing pages are king—but use in-product if you’re running experiments or want to catch those who are considering coming back.

AI survey analysis without the pain

Specific’s AI survey analysis gives you the “why” behind every answer instantly—no copy-paste, no spreadsheet overwhelm. Responses are summarized, themes are surfaced, and you can even chat directly with AI to dig deeper into results using keywords or custom prompts. Features like automatic topic detection cut hours out of analysis; just read, review, and act. For a step-by-step walk-through, see how to analyze inactive users barriers to returning survey responses with AI.

See this barriers to returning survey example now

Ready to see how a conversational AI survey captures the exact reasons why users left—and what might bring them back? Unlock richer feedback, higher quality responses, and effortless survey building with AI. See the example and experience a new standard for user research.