Best questions for mobile app exit survey: exit survey churn example and how to uncover why users leave

When analyzing exit survey churn example data, it’s clear that a mobile app exit survey is the fastest way to uncover why users leave. By asking the right questions at the right moment, we can see not just what’s going wrong, but also which improvements matter most. The best questions for mobile app exit survey are short yet deep—inviting real answers, not guesswork.

Essential questions for your mobile app churn survey

Your exit survey should be built to find actionable insights across the entire user journey. Here’s a cheat sheet of the best questions for mobile app exit survey, blending open-ended and multiple-choice formats for iOS and Android feedback:

1. What is the main reason you decided to stop using our app?
   This direct, open-ended question puts user intent front and center and exposes unexpected drivers of churn.

2. How well did our app meet your expectations?
   Present on a 1-5 scale or as options like “Exceeded,” “Met,” “Somewhat met,” “Did not meet” to segment satisfaction.

3. Were there features you expected but couldn’t find?
   Great for surfacing product gaps. Offer examples relevant to your app (“offline mode,” “dark theme”), then prompt for specifics.

4. Did you experience any technical issues?
   List options: “Crashes,” “Slow loading,” “Bugs/glitches,” “None,” with space for extra detail. Since 62% of uninstalls come from crashes, this is critical. [1]

5. How was the app’s performance on your device?
   Tailor for iOS/Android (load times, battery use, compatibility). Performance issues cause 25% of app abandonment. [2]

6. Were you satisfied with the app’s price or subscription model?
   This gauges price sensitivity. Offer “Too expensive,” “About right,” “Good value,” “I didn’t notice pricing,” and open comments.

7. Did you leave because a competitor offered something better?
   Multiple choice with probing: Which app did you switch to? Why?

8. What did you like most about the app before you left?
   This highlights “keepers”—features you can double down on, even as users exit.

9. How likely are you to recommend our app to a friend? (0-10 scale)
   This NPS-style question should trigger tailored follow-ups: If score is 0-6, ask “What would make you more likely to recommend us?”; if 7-8, “What nearly held you back from recommending us?”; if 9-10, “What features most impressed you?”

10. Any last thoughts or suggestions?
    Open text, lets users vent or share ideas you didn’t predict.

These questions work equally well on iOS and Android, but should use wording that feels native to the device (e.g., “Delete app” vs. “Uninstall”). Mixing direct and probing follow-ups (more on that next) uncovers the richer story behind every churn event.

Why standard exit surveys miss the real story

Static exit surveys barely scratch the surface. If you want to know why users leave, ticking boxes isn’t enough. People’s reasons are complex—sometimes emotional, sometimes technical—and canned surveys rarely dig deep.

That’s why conversational surveys with real-time AI-powered follow-ups work better. Instead of a choose-one-and-done form, AI uses follow-up logic to ask clarifying questions on the fly—just like a sharp human interviewer would. This probing happens naturally, letting users expand on statements (“too expensive,” “slow app,” etc.) so you capture not just symptoms, but underlying causes.

See how follow-up capabilities work with Specific—this is where exit feedback gets specific, not superficial.

Example scenarios where AI digs deeper:

• User selects “Too expensive”: AI follows up with “Was there a particular feature you felt wasn’t worth the cost?” If they mention “premium themes,” AI can ask: “What about those themes didn’t deliver value for you?”

• User answers “Crashes frequently”: AI probes for model/version (“Is this on iOS or Android?”), then asks: “Do crashes always happen when you perform a specific action?” capturing real bug details.

• User says “Switched to a competitor”: AI responds, “What does that app offer that ours doesn’t?”—getting a grounded comparison.

This layered conversation style feels less like a chore, more like talking to a helpful researcher.

Capturing feedback across languages and cultures

If your mobile app attracts a global audience, collecting churn feedback from just one or two languages won’t give the full picture. Multilingual surveys are a must, especially since 95% of users churn within 30 days of download. [3]

Specific’s surveys automatically detect and present in the user’s in-app device language. For example, an iOS user in Japan will see the survey in Japanese—no manual translation needed, so you never miss valuable feedback due to a language barrier. Android users in Germany? They see it in German. You deploy once; everyone gets a localized experience.

Cultural context matters too: some users are blunt, others more indirect. A multilingual approach recognizes different wording or feedback styles from each region, reducing bias in your churn data.

This removes language friction and ensures your retention strategies reflect your real global audience.

Example prompts to generate your exit survey

Why start from scratch? An AI survey generator for churn surveys makes it easy to launch relevant exit feedback, instantly adapting for any app category. You simply describe your app, audience, and what you want to learn, and the AI builds a tailored survey that’s ready to deploy.

Here are some strong example prompts to customize for your next exit survey:

Create a churn exit survey for a fitness subscription app. Capture reasons users cancel, focusing on feature gaps, pricing, and motivation loss. Include multiple-choice and open-ended questions for iOS and Android users.

This prompt draws out fitness-specific churn factors like “workout variety” or “integration with wearables.”

Generate an exit feedback survey for a mobile game. Target reasons for uninstalling (difficulty, ads, lack of engagement), and ask about app performance and fun factor.

Targeted to the gaming context—it will probe both technical (crashes, lag) and emotional (interest, challenge) churn reasons.

Draft exit survey questions for a productivity/task management app, learning why users downgrade or leave. Ask about collaboration tools, integration, learning curve, and subscription price.

Great for SaaS or work apps—this exposes if missing integrations (Google Calendar, Slack) or confusing UI drive churn.

Build an exit survey for a social chat app, focusing on user privacy concerns, spam, notification management, and missing features compared to competitors.

This prompt is tuned for social/mobile feedback—letting AI dig into network effects, privacy, or notification annoyances behind churn.

You can revise each survey instantly using the AI survey editor—just describe improvements and the survey updates in seconds.

When and how to trigger your exit survey

The “when” and “how” of exit surveys is crucial for honest, actionable feedback. You want users to respond fresh—right at the moment of churn without interrupting their experience.

• Uninstall intent: For mobile, trigger the exit survey inside the app immediately before the uninstall event (detected by in-app “Delete/Uninstall” actions or last login patterns).

• Subscription cancellation or downgrade: Display the survey as users cancel or change plans.

• Email follow-up: If the app can’t prompt in real time, a brief feedback email after account closure works—keep it short and mobile-optimized.

With Conversational In-Product Surveys, a chat-based widget appears seamlessly inside your app—on iOS or Android—using thumb-friendly design and a few concise screens. Most users abandon if a survey feels long, so keep it brief, visually clean, and easy to submit.

Mobile users skim—response rates soar with conversational surveys that feel interactive, not transactional. Customize the widget’s CSS to fit your app brand, making the survey feel like a natural part of your product, not an outside interruption.

Turning exit feedback into retention strategies

Collecting exit feedback is just step one. The real value comes from turning raw responses into retention improvements—especially when AI does the initial heavy lifting.

With AI-driven survey response analysis, you can chat directly with the data, filter by churn type (pricing, tech issues, competition), and spin up parallel analysis threads—each for a different segment, platform, or timeframe.

Example analysis prompts you might use:

Summarize the top three reasons users on Android devices stopped using our app in the last month.

Identify common pricing complaints from iOS users who canceled subscriptions.

Find suggestions for new features that departing users requested most often (across all languages).

Use these prompts to surface actionable patterns: maybe slow loading times (which can lose you 25% of users) [2], price dissatisfaction, or frequent competitor mentions. AI highlights trends quickly, so you can prioritize—the biggest churn drivers by response volume get urgent focus.

Start understanding your mobile app churn today

Every day you wait to analyze churn, you lose users you could have saved. Create your own survey now to capture honest reasons, explore trends with instant AI analysis, and reach every user with automatic multilingual support and smart follow-ups. Stop guessing—start learning from your churn.