Survey example: Inactive Users survey about churn reasons

Create conversational survey example by chatting with AI.

This is an example of an AI survey about churn reasons for inactive users—see and try the example now.

Creating an effective churn reasons survey for inactive users can be hard: generic questions, unclear responses, and poor response rates are all too common.

We're Specific, and all the survey tools you see here are created by us to make feedback collection much smarter and more effective.

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

The main problem with traditional surveys for inactive users is that response rates are dismally low and the data gathered is often thin or unclear. With churn reasons surveys, you need meaningful, contextual feedback—not just a handful of checkbox answers or one-liners.

That's where conversational surveys and AI survey generation come in. Instead of static forms, you get an interactive, chat-like experience that feels natural and adapts in real time. AI-driven surveys can significantly boost engagement; in fact, studies show conversational surveys can increase completion rates by up to 40% over classic forms and email surveys. This is a huge leap over the 2%-30% you might get from traditional online surveys, which often struggle with low participation, especially with disengaged users. [1][2]

By using an AI survey generator, you offload the hard work: the AI drafts questions, structures the flow, and personalizes each interaction based on expert templates or your prompt. It’s faster, smarter, and typically delivers higher quality feedback compared to manual survey builders.

Manual Survey

AI-generated Conversational Survey

Requires manual question writing & logic set up

Created in minutes by describing your goal

Fixed question flow, little personalization

Dynamically adapts to each response in real time

Boring forms, low engagement

Conversational, chat-like, higher completion

Difficult to add expert-level follow-ups

Automatic, context-aware probing for deeper insights

Why use AI for inactive users surveys?

  • Boost your response rates by making surveys feel conversational and personal—vital for users who've gone silent.

  • Dig deeper into churn reasons with on-the-fly, intelligent follow-up questions—no manual scripting required.

  • Increase completion and engagement, especially when drop-off rates on traditional forms are high.

Specific is built for best-in-class user experience: our conversational surveys make responding easy and even enjoyable, both for creators and your respondents. If you want to learn more about survey building best practices for this audience and topic, check out how to create a churn reasons survey for inactive users or see the best questions to ask inactive users about churn.

Automatic follow-up questions based on previous reply

The magic of Specific is in the AI-powered follow-up system. Our AI listens to each response and instantly asks relevant, probing questions the way a sharp researcher would—hitting just the right depth for clarity and context. This means you get rich insights without chasing down users by email for extra details, saving hours and making data quality dramatically better.

Without these follow-ups, churn reasons often stay fuzzy. Here’s what that might look like:

  • Inactive user: "I just stopped using the app."

  • AI follow-up: "Was there a specific event or issue that made you decide to stop? Can you share a bit more about what happened?"

Instead of ambiguous answers, the AI creates a natural flow—so you hear honest, actionable stories that drive decisions. You can learn how this feature works in more detail at our automatic AI follow-up questions page.

These follow-up questions turn every survey into a real dialogue—a true conversational survey. Try generating a sample yourself and see how much better the insights get.

Easy editing, like magic

Editing your inactive user churn survey couldn’t be simpler: just tell the AI in chat what you want to change. Need to reword a question for clarity, add a new follow-up, or shift the survey’s focus based on early feedback? The Specific AI survey editor handles it instantly. No dragging-and-dropping fields—just quick, expert-powered updates on your terms. Get a feel for it at the AI survey editor page.

Survey delivery methods for churn reasons feedback

There are two simple ways to deliver your survey, and both work great for inactive user churn analysis:

  • Sharable landing page surveys: Perfect for email campaigns, Slack, or direct outreach to inactive user lists. Send them a link—no installation required. Great when users are out of product, or you have their contact info.

  • In-product surveys: If users are returning occasionally or still visit your app, launch a targeted survey as a chat widget right in your product. Ideal for catching folks who might be “semi-inactive” and still possible to re-engage. Learn about unique targeting capabilities and examples on the product page.

For churn feedback, both methods can make sense; typically, a landing page survey works best for those who’ve truly left, while in-product chat surveys are perfect if you have a chance to catch reactivating users. Want more details? Explore how to deploy churn surveys for inactive users.

AI-powered survey analysis for churn reasons

Once you collect responses, Specific’s AI survey analysis engine leaps into action. It auto-summarizes open-ended replies and surfaces common churn themes in seconds—no spreadsheets or hours of manual digging. Key features like AI-powered topic detection and instant “chat with AI” about your survey save time and reveal what really drives churn. See detailed guidance in our how to analyze inactive user churn reasons survey responses with AI guide, or learn more about automated survey insights in Specific.

See this churn reasons survey example now

Explore the survey and try a real AI-powered churn reasons conversation with an inactive user perspective. Experience how follow-ups, chat-based editing, and instant AI analysis make feedback actionable and easy—see it in action now.

Try it out. It's fun!

Sources

  1. UConn Research Basics. Survey Research Response Rates

  2. WorldMetrics.org. Survey Statistics: Engagement, Completion, and Response Rates

  3. ZipDo. Non-Response and Survey Engagement Statistics

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.