App review complaints examples (real user feedback)

Real examples of app review complaints grouped into patterns to help you understand what's actually frustrating users and where to focus your next sprint.

App Crashing & Stability Issues

"it crashes every single time i try to open a saved report, been happening since the 3.2 update and i've already reinstalled twice. completely unusable for me rn"
"the app just closes itself mid-checkout. lost my cart three times this week. i don't understand how this passed QA, it's a basic flow"

Login & Authentication Frustrations

"i have to log back in literally every time i open the app even though i have 'stay logged in' checked. using face id does nothing. so annoying"
"got locked out of my account after trying to reset my password and now the verification email just never comes. been waiting 2 days, support hasn't replied"

Slow Performance & Loading Times

"the home feed takes like 8-10 seconds to load every morning. i'm on wifi, full signal. my friend has the same phone and hers loads fine so it's definitely the app"
"searching for anything in the app is painfully slow. i type something and then just stare at a spinner. used to be instant, no idea what happened in the last update"

Missing or Broken Features After Update

"the Salesforce sync completely broke after the latest update. our whole sales team relies on this and now nothing is pushing through. had to roll back on two devices"
"they removed the dark mode toggle in v4.1 with zero warning. i use this app at night constantly and now it's blinding. why would you remove a feature people actually use"

Notifications & Alerts Not Working

"i'm missing order updates because the push notifications just stopped working. permissions are on, i checked everything. started about 3 weeks ago for me"
"getting duplicate notifications for every single message, sometimes 4 or 5 of the same alert in a row. it's gotten to the point where i had to turn them all off"

What these app review complaints reveal

  • Update-Triggered Regressions Are the #1 Complaint Driver
    When complaints spike after a release, it's almost never a new feature causing the noise — it's a previously working flow that quietly broke, and users notice before your QA does.
  • Authentication Friction Creates Silent Churn
    Users who get locked out or have to re-login repeatedly rarely submit tickets — they just leave one-star reviews and stop opening the app, making this easy to undercount in support data alone.
  • Performance Complaints Are Comparison-Driven
    Users don't just say the app is slow — they benchmark it against a previous version or a friend's experience, which tells you the degradation is perceived as intentional neglect rather than acceptable tradeoff.

How to use these examples

  1. Tag every complaint by the specific app version mentioned in the review, then overlay that data against your release timeline to pinpoint exactly which deployment introduced each issue cluster.
  2. Filter your complaint themes by device type or OS version to separate platform-specific bugs from universal problems — this saves engineering hours spent debugging the wrong environment.
  3. Set a threshold alert so that if any single complaint theme exceeds 15% of your weekly review volume, it automatically flags for triage before it compounds into a one-star rating trend on the App Store.

Decisions you can make

  • Roll back or hotfix a specific app version when crash complaints spike within 48 hours of a release.
  • Prioritize authentication bug fixes on the roadmap when login complaints appear across more than one device family in the same week.
  • Reintroduce a removed feature (like dark mode or a sync integration) based on complaint volume rather than gut feel about what users want back.
  • Escalate notification delivery bugs to the infrastructure team rather than the product team when the pattern points to a backend push service failure.
  • Write targeted App Store responses for the highest-volume complaint themes to protect your rating while a fix is in progress.

Analyze your own app review complaints and uncover patterns automatically

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